Python Developer Jobs in UAE

Job role A dedicated startup is being formed to industrialize and scale a secure, AI-enabled, multi-source decision-support software offering. The platform is a multi-sensor fusion and agentic AI solution connecting to diverse data sources (for example geospatial layers, imagery, video, and other operational signals). This role will support the delivery of a scalable product and contribute to establishing the processes, standards, and collaboration practices required for sustainable growth.<br>The Agentic AI Engineer is responsible for designing, developing, and deploying intelligent autonomous systems that can reason, plan, and act with minimal human intervention. This role focuses on building agent-based architectures, orchestrating multi-agent workflows, and integrating advanced AI models with tools, APIs, and real-world environments. The ideal candidate combines deep technical expertise in AI engineering with strong software architecture skills, enabling the creation of scalable, reliable, and secure agentic solutions. Job Responsibilities Design and implement agentic AI systems capable of autonomous decision-making, tool use, and multi-step task execution. Architect and build multi-agent frameworks, including planning, coordination, memory, and feedback loops. Integrate LLMs and other AI models with external tools, APIs, databases, and enterprise systems. Develop robust agent orchestration layers, including task routing, context management, and safety controls. Implement scalable backend services to support agent execution, state management, and event-driven workflows. Optimize agent performance through prompt engineering, model fine-tuning, retrieval-augmented generation (RAG), and caching strategies. Collaborate with product, data, and engineering teams to design end-to-end agentic solutions for real business use cases. Ensure agent systems adhere to security, privacy, and compliance requirements. Build monitoring, logging, and evaluation pipelines to track agent behavior, reliability, and performance. Conduct root-cause analysis and debugging for complex agent behaviors and emergent system issues. Maintain documentation for agent architectures, design patterns, and operational procedures.<br>Qualifications & Experience Typically 5+ years of relevant experience in a fast-paced product environment. Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or equivalent practical experience.3-5 years of experience in AI engineering, machine learning, backend engineering, or related fields. Strong hands-on experience with LLMs, AI frameworks, and agentic toolchains (Lang Chain, Llama Index, Open AI tools, custom agent frameworks, etc.). Proficiency in Python (required) and familiarity with additional languages such as Type Script, or C++ is a plus. Solid understanding of software architecture, distributed systems, and event-driven design. Experience building systems that integrate with APIs, databases, vector stores, and messaging brokers. Familiarity with RAG pipelines, embeddings, vector databases, and model fine-tuning. Experience with cloud platforms, like AWS, and container orchestration (Docker, Kubernetes). Knowledge of CI/CD pipelines, Git Hub workflows, and modern Dev Ops practices. Understanding of AI safety, evaluation, and guardrail frameworks is a plus.<br>Competencies Strong analytical and problem-solving skills, especially in complex or ambiguous AI-driven systems. Ability to design scalable, modular, and resilient agentic architectures. Excellent communication and cross-functional collaboration abilities. High attention to detail and commitment to reliability and safety in AI systems. Proactive mindset with a passion for innovation, automation, and continuous improvement. Ability to work independently, manage multiple priorities, and drive projects from concept to deployment. Strong sense of ownership and accountability for system behavior and outcomes.

Job role A dedicated startup is being formed to industrialize and scale a secure, AI-enabled, multi-source decision-support software offering. The platform is a multi-sensor fusion and agentic AI solution connecting to diverse data sources (for example geospatial layers, imagery, video, and other operational signals). This role will support the delivery of a scalable product and contribute to establishing the processes, standards, and collaboration practices required for sustainable growth.<br>The Agentic AI Engineer is responsible for designing, developing, and deploying intelligent autonomous systems that can reason, plan, and act with minimal human intervention. This role focuses on building agent-based architectures, orchestrating multi-agent workflows, and integrating advanced AI models with tools, APIs, and real-world environments. The ideal candidate combines deep technical expertise in AI engineering with strong software architecture skills, enabling the creation of scalable, reliable, and secure agentic solutions. Job Responsibilities Design and implement agentic AI systems capable of autonomous decision-making, tool use, and multi-step task execution. Architect and build multi-agent frameworks, including planning, coordination, memory, and feedback loops. Integrate LLMs and other AI models with external tools, APIs, databases, and enterprise systems. Develop robust agent orchestration layers, including task routing, context management, and safety controls. Implement scalable backend services to support agent execution, state management, and event-driven workflows. Optimize agent performance through prompt engineering, model fine-tuning, retrieval-augmented generation (RAG), and caching strategies. Collaborate with product, data, and engineering teams to design end-to-end agentic solutions for real business use cases. Ensure agent systems adhere to security, privacy, and compliance requirements. Build monitoring, logging, and evaluation pipelines to track agent behavior, reliability, and performance. Conduct root-cause analysis and debugging for complex agent behaviors and emergent system issues. Maintain documentation for agent architectures, design patterns, and operational procedures.<br>Qualifications & Experience Typically 5+ years of relevant experience in a fast-paced product environment. Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or equivalent practical experience.3-5 years of experience in AI engineering, machine learning, backend engineering, or related fields. Strong hands-on experience with LLMs, AI frameworks, and agentic toolchains (Lang Chain, Llama Index, Open AI tools, custom agent frameworks, etc.). Proficiency in Python (required) and familiarity with additional languages such as Type Script, or C++ is a plus. Solid understanding of software architecture, distributed systems, and event-driven design. Experience building systems that integrate with APIs, databases, vector stores, and messaging brokers. Familiarity with RAG pipelines, embeddings, vector databases, and model fine-tuning. Experience with cloud platforms, like AWS, and container orchestration (Docker, Kubernetes). Knowledge of CI/CD pipelines, Git Hub workflows, and modern Dev Ops practices. Understanding of AI safety, evaluation, and guardrail frameworks is a plus.<br>Competencies Strong analytical and problem-solving skills, especially in complex or ambiguous AI-driven systems. Ability to design scalable, modular, and resilient agentic architectures. Excellent communication and cross-functional collaboration abilities. High attention to detail and commitment to reliability and safety in AI systems. Proactive mindset with a passion for innovation, automation, and continuous improvement. Ability to work independently, manage multiple priorities, and drive projects from concept to deployment. Strong sense of ownership and accountability for system behavior and outcomes.

About The Role<br><br>The Product team is at the core of Wio Invest's mission. We take full responsibility for the success of our products by identifying and building the most impactful opportunities, working cross-functionally.<br><br>Wio Invest plays a central role in Wio Personal's ambition to be the best place to spend, save, and grow your money. Invest serves over 100,000 customers across a range of products such as US and UAE equities/ETFs, crypto, commodities, and more.<br><br>As Staff Product Owner, you will lead the Trader squad, building for the most engaged segment of our customer base. Active traders demand depth, speed, and reliability. You will own the products that serve them, driving adoption, deepening engagement, and monetizing the base.<br><br>What You’ll Be Doing<br><br>Own the Trader squad end-to-end. Set vision, prioritization, and roadmap across products. Build features and journeys traders actually want, from advanced charting to leverage management, and drive sprint-level delivery with Engineering, Design, and Ops while working hand-in-hand cross functionally. Prototype with AI, use AI tools to build working prototypes in hours, put them in front of customers early, and iterate before committing engineering resources. Make AI part of how the squad discovers, designs, and validates. Set the AI bar for Invest. Drive acquisition and retention. Partner with Marketing and Growth on personalized onboarding, smart funnels, and conversion. Turn behavioral data, support tickets, and trading patterns into features that move retention and engagement. Own the number. Partner with Strategy and Finance to drive montization. Drive accountability across Product, Marketing, and Ops to smash through KPIs. Be data obsessed. Define the metrics that matter for the squad, build the dashboards, run the analysis, and make the calls. Know your customer better than anyone else. Have the business acumen to drive the best commercials. Know who the best players in the industry are, build the right partnerships, and negotiate terms that drive down unit economics and improve P&L. <br><br>What Are We Looking For?<br><br>5+ years of experience in product management, preferably in fintech, brokerage. Familiarity with trading concepts e.g. order flows, margin mechanics, market-data. AI-native way of working, you've used tools like Claude, Cursor, or similar to prototype, automate, or analyze, and can show concrete examples of how AI has changed your output. Proficiency in SQL (required) and comfort working with data to drive decision-making. Experience with Python is a plus. A proven ability to set product strategy, influence stakeholders, and communicate vision across leadership and squads. Sharp analytical and commercial instincts to prioritize based on ROI, impact, and customer value. Aptitude for digging deep into a subject, thinking from first principles, and delivering the best results. Ability to thrive in ambiguity and take ownership across multiple domains and stakeholders. Ownership, accountability & proactivity - you build it, you own it, you run it. <br><br>What’s In It For You?<br><br>Being part of building a one-of-a-kind financial platform that is reshaping the investing landscape in MENA. Working alongside talented colleagues from top-tier fintechs and global investment platforms. Work-life balance is important to us — 28 working days of holiday plus up to 15 UAE public holidays per year. Additional perks including top-tier private health and life insurance, flexible working hours, a WFH policy, and more. Working in an international environment with employees from over 50 different nationalities. <br><br>#Wio Invest

Transaction Monitoring Manager (Crypto / Digital Assets) Location: Dubai, UAEEmployment Type: Full-Time About the Role We are seeking an experienced Transaction Monitoring Manager to lead and enhance a transaction monitoring framework within a fast-growing crypto and digital assets environment. This role will be responsible for the design, implementation, optimization, and ongoing management of transaction monitoring controls, with a strong focus on on-chain analytics, alert tuning, threshold calibration, rule development, and financial crime risk mitigation. The ideal candidate will combine deep AML/CTF transaction monitoring expertise with hands-on experience analyzing blockchain activity and investigating complex crypto transaction flows across multiple networks.<br>Key Responsibilities Own and manage the end-to-end transaction monitoring program for crypto and digital asset products. Design, implement, and continuously enhance transaction monitoring scenarios, rules, thresholds, and risk-based controls. Lead periodic tuning and optimization exercises to improve alert quality, reduce false positives, and ensure effective risk coverage. Develop and maintain monitoring typologies for money laundering, terrorist financing, sanctions evasion, fraud, mule activity, layering, mixing services, and other crypto-related financial crime risks. Utilize blockchain analytics and on-chain intelligence tools to identify suspicious activity, trace transaction flows, and support investigations. Partner with Compliance, Financial Crime, Product, Engineering, and Data teams to implement monitoring enhancements and new controls. Conduct effectiveness testing, model validation support, and gap assessments of transaction monitoring controls. Produce management information (MI), KPIs, KRIs, and regulatory reporting related to transaction monitoring performance. Support internal and external audits, regulatory examinations, and compliance reviews. Stay current on emerging crypto financial crime typologies, regulatory expectations, and blockchain analytics methodologies. Manage and mentor analysts and investigators within the transaction monitoring function.<br>Required Qualifications5+ years of experience in AML, Financial Crime Compliance, or Transaction Monitoring. At least 2+ years of experience within a cryptocurrency, digital assets, fintech, exchange, custody, or blockchain environment. Demonstrated experience designing and managing transaction monitoring rules, scenarios, thresholds, and alert frameworks. Strong experience conducting transaction monitoring tuning, calibration, optimization, and effectiveness reviews. Hands-on experience with blockchain analytics and on-chain investigation tools such as:Chainalysis TRM Labs Elliptic Similar blockchain intelligence solutions. Strong understanding of blockchain transaction flows, wallet behavior, smart contracts, mixers, bridges, DeFi protocols, and virtual asset risk indicators. Experience investigating complex crypto transaction patterns and identifying suspicious activity. Knowledge of AML/CTF regulations, sanctions compliance, FATF guidance, and virtual asset regulatory frameworks. Strong analytical skills with the ability to interpret large datasets and translate findings into actionable controls. Excellent stakeholder management and communication skills.<br>Preferred Qualifications Experience building transaction monitoring frameworks from the ground up. Experience with data analytics tools such as SQL, Python, or BI platforms. CAMS, CFCS, ICA, or equivalent financial crime certification. Experience supporting global regulatory environments and multi-jurisdictional compliance programs. Previous people management experience.<br>Ideal Candidate Profile You are a subject matter expert in transaction monitoring who understands both traditional AML controls and the unique challenges of monitoring blockchain-based transactions. You have practical experience developing monitoring rules, setting and tuning thresholds, leveraging on-chain analytics tools, and improving alert effectiveness in a crypto-native environment. You are comfortable balancing regulatory expectations with operational efficiency and can lead continuous improvement across the transaction monitoring lifecycle.

Transaction Monitoring Manager (Crypto / Digital Assets) Location: Dubai, UAEEmployment Type: Full-Time About the Role We are seeking an experienced Transaction Monitoring Manager to lead and enhance a transaction monitoring framework within a fast-growing crypto and digital assets environment. This role will be responsible for the design, implementation, optimization, and ongoing management of transaction monitoring controls, with a strong focus on on-chain analytics, alert tuning, threshold calibration, rule development, and financial crime risk mitigation. The ideal candidate will combine deep AML/CTF transaction monitoring expertise with hands-on experience analyzing blockchain activity and investigating complex crypto transaction flows across multiple networks.<br>Key Responsibilities Own and manage the end-to-end transaction monitoring program for crypto and digital asset products. Design, implement, and continuously enhance transaction monitoring scenarios, rules, thresholds, and risk-based controls. Lead periodic tuning and optimization exercises to improve alert quality, reduce false positives, and ensure effective risk coverage. Develop and maintain monitoring typologies for money laundering, terrorist financing, sanctions evasion, fraud, mule activity, layering, mixing services, and other crypto-related financial crime risks. Utilize blockchain analytics and on-chain intelligence tools to identify suspicious activity, trace transaction flows, and support investigations. Partner with Compliance, Financial Crime, Product, Engineering, and Data teams to implement monitoring enhancements and new controls. Conduct effectiveness testing, model validation support, and gap assessments of transaction monitoring controls. Produce management information (MI), KPIs, KRIs, and regulatory reporting related to transaction monitoring performance. Support internal and external audits, regulatory examinations, and compliance reviews. Stay current on emerging crypto financial crime typologies, regulatory expectations, and blockchain analytics methodologies. Manage and mentor analysts and investigators within the transaction monitoring function.<br>Required Qualifications5+ years of experience in AML, Financial Crime Compliance, or Transaction Monitoring. At least 2+ years of experience within a cryptocurrency, digital assets, fintech, exchange, custody, or blockchain environment. Demonstrated experience designing and managing transaction monitoring rules, scenarios, thresholds, and alert frameworks. Strong experience conducting transaction monitoring tuning, calibration, optimization, and effectiveness reviews. Hands-on experience with blockchain analytics and on-chain investigation tools such as:Chainalysis TRM Labs Elliptic Similar blockchain intelligence solutions. Strong understanding of blockchain transaction flows, wallet behavior, smart contracts, mixers, bridges, DeFi protocols, and virtual asset risk indicators. Experience investigating complex crypto transaction patterns and identifying suspicious activity. Knowledge of AML/CTF regulations, sanctions compliance, FATF guidance, and virtual asset regulatory frameworks. Strong analytical skills with the ability to interpret large datasets and translate findings into actionable controls. Excellent stakeholder management and communication skills.<br>Preferred Qualifications Experience building transaction monitoring frameworks from the ground up. Experience with data analytics tools such as SQL, Python, or BI platforms. CAMS, CFCS, ICA, or equivalent financial crime certification. Experience supporting global regulatory environments and multi-jurisdictional compliance programs. Previous people management experience.<br>Ideal Candidate Profile You are a subject matter expert in transaction monitoring who understands both traditional AML controls and the unique challenges of monitoring blockchain-based transactions. You have practical experience developing monitoring rules, setting and tuning thresholds, leveraging on-chain analytics tools, and improving alert effectiveness in a crypto-native environment. You are comfortable balancing regulatory expectations with operational efficiency and can lead continuous improvement across the transaction monitoring lifecycle.

Transaction Monitoring Manager (Crypto / Digital Assets) Location: Dubai, UAEEmployment Type: Full-Time About the Role We are seeking an experienced Transaction Monitoring Manager to lead and enhance a transaction monitoring framework within a fast-growing crypto and digital assets environment. This role will be responsible for the design, implementation, optimization, and ongoing management of transaction monitoring controls, with a strong focus on on-chain analytics, alert tuning, threshold calibration, rule development, and financial crime risk mitigation. The ideal candidate will combine deep AML/CTF transaction monitoring expertise with hands-on experience analyzing blockchain activity and investigating complex crypto transaction flows across multiple networks.<br>Key Responsibilities Own and manage the end-to-end transaction monitoring program for crypto and digital asset products. Design, implement, and continuously enhance transaction monitoring scenarios, rules, thresholds, and risk-based controls. Lead periodic tuning and optimization exercises to improve alert quality, reduce false positives, and ensure effective risk coverage. Develop and maintain monitoring typologies for money laundering, terrorist financing, sanctions evasion, fraud, mule activity, layering, mixing services, and other crypto-related financial crime risks. Utilize blockchain analytics and on-chain intelligence tools to identify suspicious activity, trace transaction flows, and support investigations. Partner with Compliance, Financial Crime, Product, Engineering, and Data teams to implement monitoring enhancements and new controls. Conduct effectiveness testing, model validation support, and gap assessments of transaction monitoring controls. Produce management information (MI), KPIs, KRIs, and regulatory reporting related to transaction monitoring performance. Support internal and external audits, regulatory examinations, and compliance reviews. Stay current on emerging crypto financial crime typologies, regulatory expectations, and blockchain analytics methodologies. Manage and mentor analysts and investigators within the transaction monitoring function.<br>Required Qualifications5+ years of experience in AML, Financial Crime Compliance, or Transaction Monitoring. At least 2+ years of experience within a cryptocurrency, digital assets, fintech, exchange, custody, or blockchain environment. Demonstrated experience designing and managing transaction monitoring rules, scenarios, thresholds, and alert frameworks. Strong experience conducting transaction monitoring tuning, calibration, optimization, and effectiveness reviews. Hands-on experience with blockchain analytics and on-chain investigation tools such as:Chainalysis TRM Labs Elliptic Similar blockchain intelligence solutions. Strong understanding of blockchain transaction flows, wallet behavior, smart contracts, mixers, bridges, DeFi protocols, and virtual asset risk indicators. Experience investigating complex crypto transaction patterns and identifying suspicious activity. Knowledge of AML/CTF regulations, sanctions compliance, FATF guidance, and virtual asset regulatory frameworks. Strong analytical skills with the ability to interpret large datasets and translate findings into actionable controls. Excellent stakeholder management and communication skills.<br>Preferred Qualifications Experience building transaction monitoring frameworks from the ground up. Experience with data analytics tools such as SQL, Python, or BI platforms. CAMS, CFCS, ICA, or equivalent financial crime certification. Experience supporting global regulatory environments and multi-jurisdictional compliance programs. Previous people management experience.<br>Ideal Candidate Profile You are a subject matter expert in transaction monitoring who understands both traditional AML controls and the unique challenges of monitoring blockchain-based transactions. You have practical experience developing monitoring rules, setting and tuning thresholds, leveraging on-chain analytics tools, and improving alert effectiveness in a crypto-native environment. You are comfortable balancing regulatory expectations with operational efficiency and can lead continuous improvement across the transaction monitoring lifecycle.

1. Operational Coverage Provide first-line triage for alerts, user queries and basic incidents; execute runbooks, escalate per SLA. Perform detailed analysis, tuning, rule creation, and remediation of incidents requiring technical troubleshooting across DLP, classification, and IRM platforms. Lead advanced investigations, root cause analysis, complex incident containment, custom rules/scripts, integration with SIEM/SOAR, and vendor engagement for bug fixes/feature requests.2. Incident & Issue Management Own incident lifecycle for data security events: detection → investigation → containment → remediation → recovery → post‑incident review. Maintain an issues register/deviation tracker; prioritize, assign ownership, and track SLA-driven resolution. Produce incident reports, RCA, and recommendations; implement corrective and preventive actions.3. Service Enhancement & Continuous Improvement Identify opportunities to improve detection fidelity, reduce false positives, and enhance user experience. Lead tuning, content updates (classification patterns, DLP fingerprints, policy sets), and automation to optimize operations. Develop and maintain playbooks, runbooks, and operational runbooks for repeatable tasks.4. Policy Review & Enforcement Collaborate with governance and legal teams to design, review, and update data security policies and acceptable use frameworks. Implement and enforce policies via DLP/classification controls, IRM, encryption and endpoint integrations. Ensure auditability and evidence collection for compliance and regulatory requirements. 5. Platform & Server Management Oversee deployment, configuration, hardening, patching, backup and monitoring of DLP, classification, and IRM servers/applications (on‑prem and cloud). Ensure high availability, capacity planning, performance optimization, and disaster recovery readiness. Manage integrations with identity, endpoint, email, storage and cloud services (e.g., Microsoft 365, Exchange, Share Point, Box, One Drive). 6. Architecture, Design & Enhancement Architect and validate solution designs, secure configurations and network integrations for data security tools. Produce high/low level design documents, solution architecture diagrams, and technical specifications. Conduct threat modelling and security reviews for proposed changes impacting data flows. 7. Transition & Transformation Lead technical transition activities for onboarding, migrations, or vendor replacements (discovery, cutover plans, rollback plans). Drive transformation initiatives (cloud enablement, Saa S adoption, automation, CI/CD for policies). Ensure knowledge transfer, create HLD/LLD, runbooks, training materials and handover to operations.8. Stakeholder Engagement & Reporting Liaise with SOC, IT ops, endpoint, identity, legal/compliance, data owners, and business units. Provide regular operational and executive reporting (KPI dashboards for incidents, coverage, false positives, policy enforcement, classification coverage). Support audits, compliance assessments and third‑party reviews<br>Required Qualifications & Experience Bachelor’s degree in computer science, Information Security, or related field (Master’s or relevant certifications preferred).8+ years’ experience in data security roles, with hands-on experience across DLP, Data Classification, and IRM solutions. Proven L1–L3 operational background: triage, remediation, advanced tuning and integrations. Experience managing DLP products (e.g., Forcepoint, Symantec/Digital Guardian, McAfee DLP), classification tools (Boldon James or similar, Titus), IRM (Seclore, Purview), and related ecosystem integrations. Strong server/platform administration skills (Windows/Linux), virtualization and cloud exposure (Azure/AWS). Knowledge of encryption, PKI, HSMs, and secure key management (Thales or similar). Familiarity with SIEM (Microsoft Sentinel), EDR, email gateways, and MDM integrations. Solid understanding of CIS, NIST, ISO27001 frameworks and data privacy regulations. Excellent troubleshooting, scripting (Power Shell, Python), and automation skills. Strong communication skills and experience working with cross-functional teams and senior stakeholders.<br>Desirable Certifications (Good to have) CISSP, CISM, CCSP, or equivalent Vendor-specific DLP/IRM certifications (Forcepoint/Symantec/Boldon/Seclore) Azure/AWS certifications, Microsoft 365 security certifications ITIL Foundation

Scorewarrior is a game developer and publisher based in Limassol, Cyprus. The company focuses on the 4X strategy genre, with an ambitious goal to grow its flagship game, Total Battle, into the No. 1 strategy game in the world.<br>Our team consists of 200+ passionate, talented, self-driven, and continually developing professionals who love making high-quality games. Our mission: to unite and excite people all over the world.<br>We are looking for an experienced Senior Backend C++ Developer for our Core Team to work on key game project functionalities. We strive for simplicity, scalability, maintainability, and excellent quality in our solutions. Our team's main goal and challenge is to deliver outstanding technical design while ensuring quality, flexibility, and ease of development for game features.<br>Tasks to be solved Designing and developing the Core backend component and creating user-friendly APIs with Doxygen descriptions. Refactoring and isolating existing modules and eliminating technical debt. Preparing and reviewing ADRs/RFCs, formulating architectural solutions within your team/service, and presenting them to the architectural board for discussion. Conducting code reviews and design reviews of game mechanics. Maintaining high quality by writing unit and integration tests, implementing metrics, and profiling code. Planning, decomposing, and delegating sub-tasks and evaluating the results thereof. Developing tools and scripts for automating internal development processes.<br>To succeed, you will need6+ years of commercial development, including 3+ years in С++ backend. C++ 17/20: STL, templates (concepts). The ability to participate in creating or reviewing architectural documentation (ADRs/RFCs). Practical experience in software design: SOLID, YAGNI/KISS/DRY, patterns. Knowledge of Service-Oriented/Action(Command)-based approaches. Networking & Concurrency: TCP/HTTP, RPC (g RPC/protobuf), thread-pools, and an understanding of async/await. Observability: Prometheus/Influx DB, Grafana, or analogs.<br>The following would be to your advantage Experience with Java, Kotlin, C#, or Python. Gamedev experience. Experience in designing large-scale modules / components / services.<br>What we offer A Great Place to Work. 99% employee satisfaction, low turnover, and colleagues who genuinely enjoy collaborating. Live and work in sunny Cyprus. We’re an office-first team in Limassol with a modern seaside workspace, and full relocation and visa support for you and your family. Shape a global hit. We’re the only European studio with a 4X strategy title in the world’s top-10. Our top-50 mobile game has grown 25x in revenue and audience in the last five years. Grow fast in a company that’s already strong. We’re independent, financially rock-solid, and expanding at startup speed, and we have never had lay offs. Work where ideas win. Flat structure, collective decision-making, and honest feedback create full transparency and help you grow fast. Earn industry-leading rewards. High salaries, a 13th month, performance bonuses, and extra rewards for long service, marriage, or welcoming a child, and lunch every day. Feel supported at every stage of life. Private family health insurance, plus a monthly allowance for children’s pre-school, school, and university education. Your growth is our priority. From specialized training and certifications to language courses and books, you’ll have everything you need to keep learning.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Type: Full-time Location: Abu Dhabi, UAE (On-site) Work Schedule: Fixed Hours (Asia/Dubai Timezone) About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia.<br> Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI infrastructure.<br> Unlike a traditional outsourcing agency, we place professionals directly with clients where they become valued in-house team members, contributing to long-term growth and innovation.<br> About the Company Our client is a fast-growing technology company building scalable cloud infrastructure and enterprise-grade developer platforms.<br> The team specializes in modern DevOps tooling, Kubernetes orchestration, and secure infrastructure automation to help businesses deploy and manage applications efficiently at scale.<br> They are seeking a highly technical DevOps Engineer who thrives in customer-facing environments and enjoys solving complex infrastructure challenges while collaborating closely with engineering and product teams.<br> Job Summary We are looking for a high-impact DevOps Engineer who thrives at the intersection of infrastructure engineering and customer success.<br> In this role, you will be the technical heart of our deployments, bridging the gap between complex cloud architecture and real-world business value.<br> You will design scalable solutions, lead technical discovery, and build the mission-critical proofs-of-concept that drive our platform’s growth.<br> If you are a problem-solver who enjoys working on cutting-edge infrastructure and wants to be a key player in a fast-moving engineering culture, this is the role for you.<br> Key Responsibilities Collaborate with clients and internal teams to design scalable, secure, and high-performance solutions.<br> Lead technical discovery sessions and translate complex business needs into actionable architecture.<br> Build proofs-of-concept (POCs), live demos, and comprehensive technical documentation for customers and partners.<br> Partner closely with the engineering team to ensure successful implementations and perfect product-market fit.<br> Support pre-sales engagements by presenting technical capabilities and addressing deep-tier customer requirements.<br> Troubleshoot complex integration issues and provide expert guidance on infrastructure best practices.<br> Gather direct customer feedback to influence the product roadmap and future feature sets.<br> Deliver technical enablement sessions, workshops, and onboarding programs for enterprise clients.<br> ? Competitive salary package ? Opportunity to work with cutting-edge cloud and DevOps technologies.<br> ? Join a fast-growing technology company with strong career progression opportunities.<br> ? Work on high-impact infrastructure projects used by enterprise customers.<br> ? Exposure to modern Kubernetes, GitOps, and cloud-native ecosystems.<br> ? Collaborate with highly technical engineering and product teams.<br> ? Be part of a company driving innovation in cloud infrastructure and automation.<br> Onsite presence in Abu Dhabi, UAE.<br> 3+ years of experience in a DevOps, SRE, Solutions Engineering, or Cloud Engineering role.<br> Deep technical expertise in modern infrastructure: Kubernetes, Docker, REST/GraphQL APIs, and CI/CD workflows.<br> Strong scripting or programming proficiency (Python, Go, JavaScript, or similar).<br> Exceptional communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences.<br> Proven ability to work autonomously and pivot quickly within a fast-paced startup or enterprise environment.<br> Nice-to-Haves Experience with Identity and Access Management (OIDC, SAML, OAuth2).<br> Solid understanding of networking protocols and VPN technologies (WireGuard, IPSec) or distributed systems.<br> Familiarity with observability and monitoring stacks (Grafana, Prometheus, ELK, etc.<br>). Prior experience working with AI infrastructure, large-scale data platforms, or enterprise SaaS.<br> Contributions to open-source projects or a track record of technical writing (blogs, documentation, etc.<br>).</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking a strategic and hands-on GTM Engineer / Revenue Operations Lead to own RemotePass's revenue engine end-to-end - from ICP and target list construction, to tooling, sequencing, reporting, and continuous optimization.<br> This role exists to consolidate strategy, tooling, reporting, and optimization that today sit across multiple functions, and to build the system that compounds outbound performance across all our active markets.<br> The ideal candidate is a hybrid operator: technical enough to wire up Clay, HubSpot, Outreach, and AI-powered tooling without waiting on engineering, and commercial enough to think sharply about ICP, message-market fit, and pipeline conversion.<br> They thrive at the intersection of RevOps, Sales, and Growth, and have a proven track record of moving outbound metrics that matter.<br> Responsibilities: Own the end-to-end outbound strategy - ICP definition, segmentation, target account selection, and channel mix across email, LinkedIn, calling, and signal-based plays.<br> Build and manage the outbound tooling stack - Clay, Apollo, HubSpot, dialers, enrichment platforms, and AI-powered tooling.<br> Design and ship enriched, scored target account lists that feed a steady, high-quality flow into the SDR team.<br> Develop, write, and continuously iterate on outbound sequences based on testing and data insights, run structured A/B tests on subject lines, send-times, channels, and messaging.<br> Build and own the outbound reporting layer from activity-to-meeting, meeting-to-opp, opp-to-revenue and partner with sales leadership on weekly performance reviews.<br> Lead pipeline attribution and the outbound experimentation roadmap, documenting learnings so the team doesn't relearn them.<br> Drive the adoption of AI and LLM-powered outbound - agentic workflows, signal-based triggers (job changes, funding, hiring intent), and personalization at scale.<br> Partner cross-functionally with the SDR team, AEs, RevOps, Marketing, and Data to ensure the outbound system is wired into the broader revenue motion.<br> Act as the technical RevOps lead for any new outbound initiative - new market, new segment, new product motion.<br> Why Join RemotePass?<br> Remote-First Culture: We don’t just sell remote work; we live it.<br> Enjoy the flexibility to work from anywhere.<br> Hyper-Growth: Be part of a company that is consistently recognized for its rapid expansion and innovation.<br> The ability to own a critical function end-to-end, drive measurable impact on the revenue engine, and grow alongside the company as we scale.<br> High agency and ownership.<br> Inclusion Matters: We are committed to building a diverse team.<br> We value different perspectives and empower every individual to bring their authentic self to work.<br> Requirements: 5-7+ years in a GTM Engineering, RevOps, Outbound Operations, or Sales Productivity role at a B2B SaaS company.<br> Proven track record of moving an outbound metric that mattered - meetings booked per rep, reply rate, opportunity conversion, or pipeline created.<br> Hands-on expertise with Clay (or equivalent), Apollo / ZoomInfo, Outreach / Salesloft, and HubSpot.<br> Able to build a multi-step Clay workflow independently.<br> Strong SQL or advanced spreadsheet fluency - pulls own data, builds own dashboards.<br> Comfort with light scripting and API work - webhooks, Zapier or Make, basic Python or JavaScript for automations.<br> Sharp commercial instinct - thinks about ICP, message-market fit, and buyer psychology, not just plumbing.<br> Strong knowledge of the EMEA region with the ability to tailor outbound strategies to multi-country buyers.<br> Experience with AI / LLM-powered outbound, agentic workflows, and personalization at scale is a strong plus.<br> Thrives in a fast-paced, high-growth environment with a strong sense of ownership and accountability.<br></span> </div>

About Us:<br><br>Mubadala is a global and responsible investment company with US$385 billion assets under management. five global offices and business investments in 50+ countries, with the focus of creating sustainable financial returns for the Government of Abu Dhabi.<br><br>We have set the ambition to double the size of our portfolio to half a trillion dollars over the next decade. This brings exciting opportunities for people across the organization, enabling them to access new, diverse and challenging experiences.<br><br>We invest in our people and give you an unrivalled opportunity for growth, development and success, while contributing to Mubadala's positive impact on local and global communities.<br><br>Join us at Mubadala and make change happen!<br><br>What you will do:<br><br>Data solution architecture <br><br>Design end-to-end solutions across source systems, integration services, the enterprise data platform, Snowflake, semantic layers, APIs and business intelligence products.<br><br>Translate business outcomes into solution designs, target-state data flows, source-to-target mappings, transformation rules, interface contracts and non-functional requirements.<br><br>Define reusable integration patterns for structured, semi-structured and external market or Saa S data, spanning batch, API and event-driven approaches.<br><br>Guide technical decisions on data persistence, history, schema design, data product boundaries and downstream consumption, keeping designs scalable, supportable and aligned to enterprise architecture, security and governance standards.<br><br>Data engineering and platform delivery <br><br>Lead, and where required directly contribute to, the design, build and productionisation of ETL/ELT pipelines and reusable data services across cloud and hybrid environments.<br><br>Coordinate ingestion, transformation, orchestration, error handling, reconciliation and monitoring using platforms such as Informatica IICS, Azure services, Snowflake and Neo4J.<br><br>Review pipeline performance, data latency, throughput, failure patterns and operating cost, and drive practical remediation and optimisation.<br><br>Ensure production readiness through automated deployment, version control, environment promotion, rollback planning and runbooks, introducing metadata-driven and configuration-led patterns that reduce manual work.<br><br>Analytics, BI and business solution enablement <br><br>Own the data-readiness layer for dashboards, executive reporting, operational analytics and AI use cases, ensuring trusted definitions and consistent calculations.<br><br>Partner with business teams to define KPIs, validation extracts, dashboard requirements, user personas, refresh frequency, access rules and acceptance criteria.<br><br>Guide Power BI solution design, including semantic models, dataflows, row-level security, workspace promotion, validation and production support.<br><br>Challenge unclear or changing requirements and convert them into signed-off requirements, mappings, formulas and controlled revisions, including executive and mobile analytics experiences where security, performance and clarity are critical.<br><br>Data quality, governance and security <br><br>Embed data-quality checks, reconciliation controls and exception reporting into pipelines and data products, and define reusable data-quality rules with transparent reporting of failures.<br><br>Ensure lineage, ownership, data definitions, business rules, source-to-target mappings and transformation logic are documented and maintained, with auditability across environments.<br><br>Implement role-based security controls and encryption for data at rest and in transit, in line with UAE data privacy regulations and GDPR principles.<br><br>Work with governance teams to align data products with the enterprise glossary, catalogue, classification, retention and privacy requirements, and drive resolution of source-data issues through evidence-based analysis and clear ownership.<br><br>Delivery leadership and stakeholder management <br><br>Lead delivery across multi-disciplinary teams without relying on formal line authority, setting priorities, sequencing dependencies and maintaining clear accountability.<br><br>Coordinate with business product owners, investment teams, Human Capital, audit, finance, AI teams, vendors and managed-service partners to deliver agreed outcomes.<br><br>Run solution workshops, design reviews, backlog reviews, UAT readiness sessions, issue-resolution calls and go-live checkpoints.<br><br>Provide concise, evidence-based status updates covering progress, blockers, decisions, risks and dependencies, balancing tactical delivery needs with long-term platform integrity.<br><br>Testing, release and operational assurance <br><br>Define SIT, UAT, regression, reconciliation and security test scenarios with clear acceptance criteria and traceable sign-off.<br><br>Ensure every production change follows approved release and change-management processes, including impact assessment, rollback, validation and business confirmation.<br><br>Lead incident triage and root-cause analysis for data, access and reporting issues, oversee service transition, support models, SLAs and escalation paths, and convert lessons learned into preventive controls.<br><br>Team enablement, innovation and knowledge transfer <br><br>Mentor engineers, analysts and consultants on solution design, data modelling, documentation, testing, troubleshooting and secure delivery practices.<br><br>Establish reusable templates, coding standards, design patterns, checklists and code repositories, and review technical outputs before business or production release.<br><br>Conduct training sessions and workshops for internal stakeholders, and develop knowledge repositories and best-practice documentation that support reuse and future scaling.<br><br>Evaluate emerging technologies, including AI-assisted engineering, serverless ETL, cloud-native orchestration, containerised deployment and observability, where they provide measurable value.<br><br>What will you bring:<br><br>Experience<br><br>Minimum 10 years of relevant experience in enterprise data, analytics, integration or solution architecture, including significant hands-on delivery responsibility. Proven experience delivering data solutions from requirement definition through design, build, testing, production deployment and support. Experience with Snowflake, SQL, data warehouse or lakehouse architecture, ETL/ELT platforms and cloud data services, with strong proficiency in SQL and scripting languages such as Python or Scala. Practical experience with Informatica IICS or comparable enterprise integration tooling, alongside Dev Ops and Data Ops practices including Git version control and CI/CD automation (Azure Dev Ops, Jenkins). Hands-on experience with real-time streaming platforms such as Apache Kafka and data integration for hybrid architectures. Experience designing secure analytics solutions with Power BI, semantic models, row-level security and controlled production release, with practical exposure to wider BI ecosystems such as Tableau for data readiness checks. Experience working with business-critical, confidential or regulated data, applying governance, privacy and access-control requirements. Experience coordinating vendors, consultants and cross-functional delivery teams in a complex enterprise environment. Exposure to investment data, Human Capital analytics, enterprise reporting or AI data enablement is highly advantageous.<br><br>Education and certifications<br><br>Bachelor's degree in Computer Science, Data Engineering, Information Systems or a related quantitative or technical discipline. Postgraduate study or certification in cloud data engineering is an advantage. Preferred certifications include Microsoft Certified: Azure Data Engineer Associate, and Snowflake, Informatica, Power BI or data architecture certifications relevant to the enterprise stack. Data governance, security, TOGAF, ITIL, Dev Ops or Data Ops certification is also valued.<br><br>Expected proficiency <br><br>Architecture and engineering <br><br>Data solution architecture, dimensional modelling, data products, data contracts, ETL/ELT, APIs, batch patterns, orchestration and cloud integration.<br><br>Enterprise platforms <br><br>Snowflake, Informatica IICS, Azure data services, Power BI, SQL, Python or comparable scripting, Git and CI/CD.<br><br>Security and governance <br><br>RBAC, row-level security, masking, least privilege, service accounts, lineage, auditability, classification and privacy controls.<br><br>Delivery management <br><br>Requirements definition, estimation, dependency management, risk and issue resolution, UAT, release readiness and service transition.<br><br>Business engagement <br><br>Ability to convert complex business needs into clear technical outcomes and explain technical trade-offs to senior stakeholders.<br><br>Leadership <br><br>Strong judgement, ownership, mentoring capability and confidence to lead multidisciplinary teams through ambiguity.<br><br>Communication <br><br>Clear written and verbal communication, including concise status reporting, design documentation and decision records.<br><br>Problem solving <br><br>Structured troubleshooting, root-cause analysis, data reconciliation and pragmatic decision-making under delivery pressure.<br><br>What we offer:<br><br>A superior platform to grow your career including:<br><br>A role that has social and financial impact Great working environment with talented colleagues Market leading pay and benefits including performance pay. Hybrid working and wellness benefits to help you live your best work and private life. Opportunity to grow and develop through learning and experience. Excellent work culture enabled by our values of Accountability, Inspiration, Integrity & Partnership<br><br>Mubadala has an excellent working culture, enabled by our values of Accountability, Inspiration, Integrity & Partnership<br><br>You will operate in a diverse, energetic and forward-thinking environment with hybrid working and wellness benefits to help you grow and develop, and market leading pay and benefits.<br><br>Key Indicators:<br><br>Location: Abu Dhabi<br><br>Flexible Working: Remote working up to 5 days a month.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> The successful candidate will be responsible for developing end-to-end perception pipelines, optimizing machine learning models for edge deployment, and ensuring reliable performance under challenging conditions such as occlusion, varying lighting, motion, environmental interference, and complex multi-object scenarios. Key Responsibilities <ul> <li>Design, develop, train, and optimize computer vision and machine learning models for object detection, classification, recognition, and tracking. </li><li>Develop robust multi-object tracking and re-identification solutions capable of maintaining continuity through occlusions, rapid movement, environmental challenges, and sensor variations. </li><li>Create object selection, prioritization, and decision-making algorithms for complex scenes containing multiple targets or points of interest. </li><li>Optimize machine learning models for deployment on embedded and edge computing platforms, ensuring efficient operation within real-time processing and resource constraints. </li><li>Define, monitor, and improve key performance indicators including detection accuracy, tracking stability, false alarm rates, response latency, and target reacquisition performance. </li><li>Develop and maintain data collection, annotation, augmentation, and dataset management processes to support model development and continuous improvement. </li><li>Build simulation, validation, and testing environments to evaluate algorithm performance across diverse operational scenarios. </li><li>Design interfaces between perception components and downstream software systems, ensuring accurate transfer of object state information, confidence metrics, timestamps, and spatial data. </li><li>Support system integration, verification, validation, and performance testing activities. </li><li>Conduct root-cause investigations, performance analysis, and model tuning to address edge cases and challenging operating conditions. </li><li>Research and evaluate emerging computer vision, machine learning, and artificial intelligence techniques to improve system capabilities. </li><li>Produce technical documentation covering algorithms, model architecture, performance results, validation activities, limitations, and deployment strategies. </li></ul> Requirements <ul> <li>Strong proficiency in Python and C++ with extensive experience developing production-quality software applications. </li><li>Deep knowledge of computer vision, machine learning, and deep learning methodologies. </li><li>Hands-on experience with object detection, object classification, segmentation, and multi-object tracking algorithms. </li><li>Strong experience with modern deep learning frameworks such as PyTorch, TensorFlow, or equivalent technologies. </li><li>Experience optimizing and deploying machine learning models on embedded, edge, GPU-accelerated, FPGA-based, or specialized AI hardware platforms. </li><li>Working knowledge of image processing techniques including image enhancement, denoising, stabilization, super-resolution, and feature extraction. </li><li>Familiarity with multiple sensor technologies, including visible-light, thermal, infrared, and other imaging systems. </li><li>Experience evaluating model performance using quantitative metrics and validation methodologies. </li><li>Understanding of real-time perception systems and low-latency processing requirements. </li><li>Experience with software development best practices, including version control, testing frameworks, continuous integration, and code reviews. </li><li>Strong analytical, troubleshooting, and problem-solving capabilities. </li><li>Ability to work independently while collaborating effectively within multidisciplinary engineering environments. </li><li>Excellent written and verbal communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. </li></ul> Qualifications <ul> <li>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, Robotics, Data Science, or a related technical discipline. </li><li>Minimum of 6 years of hands-on experience in computer vision, machine learning, artificial intelligence, or related fields. </li><li>Demonstrated experience developing and deploying real-world perception systems for robotics, automation, intelligent devices, industrial systems, autonomous platforms, or similar technology domains. </li><li>Strong understanding of end-to-end perception architectures, sensor integration, real-time data processing, and edge-computing environments. </li><li>Experience with large-scale dataset development, annotation workflows, model training pipelines, and performance optimization. </li><li>PhD in a relevant field is considered an advantage. </li></ul> Preferred Experience <ul> <li>Real-time object detection and tracking systems. </li><li>Multisensor and sensor-fusion applications. </li><li>Edge AI and embedded machine learning deployment. </li><li>Robotics, automation, intelligent systems, or autonomous technologies. </li><li>Performance optimization for low-latency and resource-constrained environments. </li><li>Large-scale machine learning model development and operational deployment. </li></ul> <br><br> </div>

<p><strong>About KingoMart</strong></p><br><p>KingoMart is a B2B e-commerce marketplace connecting suppliers and business buyers. Our platform today consists of a customer storefront (Next.js + React + TypeScript), an internal admin panel (React + TypeScript), and a FastAPI + PostgreSQL backend that publishes a typed OpenAPI contract. Everything user-facing is TypeScript, and mobile will be too.</p><br><p><strong>The role</strong></p><br><p>You will be our first and founding mobile engineer. You own the mobile architecture end to end: you will build and ship our customer storefront app for Android and iOS (React Native + Expo, TypeScript), and later a second app for our suppliers. The monorepo, typed API client, and build-service decisions (Expo EAS) are already in place you take them from skeleton to shipped product, and you own every release that follows.</p><br><p>This is a high-ownership role: you set the technical standards, the release process, and the quality bar that the whole mobile codebase will live with for years.</p><br><p><strong>What you will do</strong></p><br><ul><li><p><strong>Build and ship the KingoMart storefront app</strong> (catalog, search, cart, checkout, orders, account) to both the App Store and Google Play.</p></li><li><p>Own the mobile architecture: navigation, state management, offline/caching strategy, deep linking, and push notifications documented in ADRs.</p></li><li><p>Own release engineering: EAS builds, store submissions, staged rollouts, over-the-air updates, crash monitoring, and rollback strategy.</p></li><li><p>Integrate with our FastAPI backend through the shared OpenAPI-generated TypeScript client.</p></li><li><p>Establish testing practices (unit, component, and end-to-end) and the CI checks that enforce them.</p></li><li><p>Later: build the supplier-panel app on the foundations you laid shared design system, auth, and API layer.</p></li><li><p>Work alongside our web engineers (React/TypeScript); code review flows both ways.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p><strong>Experience - </strong>5+ years of software engineering, with 3+ years of React Native in production and strong TypeScript.</p></li><li><p><strong>Shipped and maintained - </strong>at least two apps live in both the App Store and Play Store maintained through OS releases, store policy changes, and at least one major React Native upgrade or architecture migration.</p></li><li><p><strong>Expo ecosystem - </strong>EAS Build / Submit / Update, config plugins, development builds, Continuous Native Generation.</p></li><li><p><strong>Native literacy - </strong>able to read and write basic Swift and Kotlin - enough to debug a native crash, write a config plugin, or wrap a native SDK.</p></li><li><p><strong>Navigation & deep linking - </strong>Expo Router or React Navigation; universal links / app links; push-notification routing.</p></li><li><p><strong>State & data - </strong>clear judgment on server state vs client state (e.g. TanStack Query + a light client store), and cart/checkout state design.</p></li><li><p><strong>Offline & caching - </strong>cache-first browsing, optimistic updates with rollback, queued mutations with sync and conflict handling.</p></li><li><p><strong>Push notifications - </strong>FCM + APNs end to end: permission UX, token lifecycle, payload design, all three app states.</p></li><li><p><strong>Performance - </strong>list virtualization, image pipelines, Hermes profiling, startup time, and re-render analysis on real devices.</p></li><li><p><strong>Testing - </strong>Jest + React Native Testing Library; E2E with Maestro or Detox; a coherent view of what to test at which layer.</p></li><li><p><strong>Release engineering - </strong>staged rollouts, OTA update policy and its store-policy boundaries, versioning, crash monitoring (Sentry or similar).</p></li><li><p><strong>Security - </strong>Keychain/Keystore for tokens (never AsyncStorage), secure deep-link handling, store privacy declarations.</p></li></ul><br><p><strong>Nice to have</strong></p><br><ul><li><p>AI experience - Familiarity with AI-powered applications, LLM APIs (e.g. OpenAI), AI-assisted features such as chat, recommendations, semantic search, and prompt engineering. Experience integrating AI services into mobile applications is a strong advantage.</p></li><li><p>E-commerce or B2B app experience; payment SDK integration (Stripe, Adyen, or similar).</p></li><li><p>Monorepo experience (Turborepo/Nx or pnpm workspaces) sharing code with React web apps.</p></li><li><p>Comfortable occasionally contributing to our React web codebases (Next.js storefront, Vite admin).</p></li><li><p>Analytics and experimentation in mobile release cadences; App Store / Play Store review battle scars.</p></li><li><p>Accessibility (VoiceOver/TalkBack), i18n/RTL (our storefront ships English, French, and Arabic).</p></li><li><p>Able to read Python well enough to follow a FastAPI endpoint.</p></li><li><p>React Native New Architecture migration experience.</p><br></li></ul><p><strong>Our stack (context, not requirements)</strong></p><br><ul><li><p><strong>Storefront web: </strong>Next.js 16, React 19, TanStack Query, Tailwind, next-intl.</p></li><li><p><strong>Admin panel: </strong>Vite + React + TypeScript, shadcn/ui.</p></li><li><p><strong>Backend: </strong>FastAPI + PostgreSQL; OpenAPI contract with generated TypeScript clients.</p></li><li><p><strong>Mobile (yours): </strong>Expo SDK 57+, Expo Router, pnpm + Turborepo monorepo, EAS.</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Overview:</b> <br><p>Analog is pioneering the era of physical intelligence. Where digital intelligence transformed our online lives, Analog is transforming the lived world, making cities more adaptive, industries more resilient, services more human centered, and experiences more extraordinary.<br>At the heart of our approach are living world models, continuously updated, enriched by every capture point, every device, every interaction. Within them resides Ana, the Analog Neural Agent. Ana perceives, adapts, and guides, transforming raw data into foresight and orchestration that improves outcomes across sectors, from safeguarding high-value assets to enhancing human performance. </p><br><br><br><p><strong>IT Engineer ( ITOps)</strong></p><br><br><p><br>We are seeking a proactive and detail-oriented <strong>IT Engineer </strong>to own and scale our internal IT infrastructure and operations. This role is responsible for ensuring secure, reliable, and efficient IT systems that empower our team to do their best work.</p><br><br><br><p>You will manage end-user support, SaaS systems, device lifecycle management, identity and access management (IAM), and security best practices across the organization. This is a hands-on role ideal for someone who thrives in fast-paced environments and enjoys building scalable IT foundations from the ground up.</p><br><br><b>Responsibilities:</b> <br><p><strong>IT Operations &amp; End-User Support</strong></p><br><br><ul><li>Provide support for hardware, software, and network issues</li><li>Manage onboarding and offboarding processes (device provisioning, access control, account setup)</li><li>Own device lifecycle management (MDM, procurement, configuration, asset tracking)</li><li>Maintain documentation for IT processes, systems, and policies</li></ul><p><strong>Identity &amp; Access Management</strong></p><br><br><ul><li>Administer SSO, MFA, and role-based access controls</li><li>Manage provisioning/deprovisioning workflows across SaaS tools</li><li>Conduct periodic access reviews and ensure least-privilege principles</li></ul><p><strong>Systems &amp; Infrastructure</strong></p><br><br><ul><li>Manage and optimize core SaaS stack (e.g., Microsoft Suite, Slack, Notion, Jira, etc.)</li><li>Monitor system performance and uptime</li><li>Support networking infrastructure (VPN, Wi-Fi, firewall configurations where applicable)</li><li>Partner with Security on endpoint protection, patching, and compliance controls</li></ul><p><strong>Security &amp; Compliance</strong></p><br><br><ul><li>Implement and maintain endpoint security tools (EDR, MDM, disk encryption)</li><li>Support audit readiness (SOC 2, ISO 27001, etc.)</li><li>Enforce IT policies and best practices</li><li>Assist in incident response and root cause analysis</li></ul><p><strong>Procurement &amp; Vendor Management</strong></p><br><br><ul><li>Own IT procurement processes for hardware, software, and SaaS tools</li><li>Manage vendor relationships, renewals, and licensing agreements</li><li>Track IT budget related to hardware, software subscriptions, and tooling</li><li>Optimize license utilization and SaaS spend</li><li>Partner with Finance and Security on vendor reviews and due diligence</li><li>Maintain accurate asset inventory and cost tracking</li></ul><p><strong>Automation &amp; Continuous Improvement</strong></p><br><br><ul><li>Identify and implement automation opportunities (e.g., onboarding workflows, device configuration)</li><li>Improve IT processes for scalability and efficiency</li><li>Evaluate and recommend new tools and technologies</li></ul><br><b>Qualifications:</b> <br><ul><li>6+ years of experience in IT Operations, IT Support, or Systems Administration</li><li>Experience managing SaaS environments and SSO platforms (e.g., Okta, Azure AD)</li><li>Experience managing IT procurement, vendor relationships, and SaaS licensing</li><li>Hands-on experience with MDM tools (e.g., Jamf, Kandji, Intune)</li><li>Strong understanding of endpoint security best practices</li><li>Experience with Mac and Windows environments</li><li>Familiarity with networking fundamentals (DNS, DHCP, VPNs, firewalls)</li><li>Experience supporting compliance frameworks (SOC 2, ISO, etc.) is a plus</li><li>Strong documentation and communication skills</li></ul><p><strong>Nice to Have</strong></p><br><br><ul><li>Experience in a high-growth startup</li><li>Scripting or automation experience (Bash, Python, PowerShell)</li><li>Familiarity with zero-trust security models</li><li>Experience with cloud infrastructure environments (AWS, GCP, Azure)</li><li>Experience building procurement or asset management processes from scratch</li></ul><br><p><strong>What Working At Analog Offers<br></strong></p><br><br><ul><li>Culture: A collaborative, globally minded team building the future of physical intelligence. We value curiosity, courage, and creativity, and we’re united by a belief that technology should amplify human potential rather than replace it.</li><li>Impact: The opportunity to work on projects with national and global significance, from adaptive cities and resilient infrastructure to next generation sports, entertainment, healthcare, and energy. Every product you help build contributes to shaping a safer, smarter, more human centered world.</li><li>Growth: Outstanding opportunities for learning and career development. You’ll collaborate with leaders across AI, robotics, mixed reality, and systems engineering, while working on industry first, frontier scale solutions.</li><li>Rewards: A competitive compensation package with healthcare, education support, and generous leave benefits, reflecting the high value we place on our people and their families.</li></ul><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>instashop, headquartered in Dubai, is the leading online local marketplace in the UAE and Egypt . Since joining the Delivery Hero family in 2020, the global leader in online food delivery and q-commerce, instashop has been setting the standard for excellence and convenience in the region.</p><br><p>With a dynamic and motivated team fueled by passion and innovation, every day at instashop is an opportunity for growth and success. We champion inclusivity, diversity and collaboration, creating an environment where everyone’s achievements are celebrated and where success is the only way forward. As we continue to grow, our team keeps expanding across the UAE, Egypt and Greece, and we’re always on the lookout for new talents to join us on our success journey.</p><br><br>Job Description<br><p>We are looking for a curious and analytical Business Analyst who can work with large datasets, translate business questions into structured analyses, and turn insights into actionable recommendations.</p><br><p>The role will work closely with Commercial, Marketing, Operations, Product, and other teams to evaluate performance, identify opportunities, and support data-driven decisions.</p><br><p>Strong hands-on SQL skills are essential, along with an interest in using AI to make analytics faster and more scalable.</p><br><ul><li>Analyse business performance across growth, customer behaviour, revenue, profitability, marketing, and operations.</li><li>Independently write and optimise SQL queries to extract and analyse large datasets.</li><li>Conduct deep dives to identify trends, performance gaps, growth opportunities, and key business drivers.</li><li>Analyse customer behaviour across acquisition, retention, churn, frequency, cohorts, and segmentation.</li><li>Support business cases, forecasting, scenario modelling, and impact estimation for new initiatives.</li><li>Build dashboards and recurring reports using BI and visualisation tools.</li><li>Partner with cross-functional teams to define KPIs and provide clear, commercially relevant recommendations.</li><li>Ensure accuracy and reliability of analytical outputs.</li></ul><p>AI in Analytics</p><br><ul><li>The candidate should actively use AI as part of the analytics workflow, including:</li><li>Accelerating SQL development, debugging, and analysis.</li><li>Structuring analytical approaches and generating hypotheses.</li><li>Automating repetitive reporting and analytical tasks.</li><li>Improving insight generation, documentation, and stakeholder communication.</li></ul><p>AI should enhance analytical thinking, not replace it.</p><br><br>Qualifications<br><ul><li>3-5 years of experience in Business Analytics, Data Analytics, Strategy Analytics, Growth Analytics, or a related field.</li><li>Strong hands-on SQL skills.</li><li>Strong Excel / Google Sheets skills.</li><li>Experience with BI tools such as Tableau, Power BI, Looker, Metabase, or similar.</li><li>Strong analytical, problem-solving, and structured thinking skills.</li><li>Ability to translate data into clear business recommendations.</li><li>Comfortable working with multiple stakeholders in a fast-paced environment.</li><li>Practical exposure to generative AI tools in analytical workflows.</li></ul><p>Nice to Have</p><br><ul><li>Experience in e-commerce, marketplaces, quick commerce, retail, fintech, or consumer technology.</li><li>Exposure to Python.</li><li>Understanding of A/B testing and experimentation.</li><li>Experience with customer lifecycle, marketing, pricing, retention, churn, or unit economics.</li></ul><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Description We are seeking experienced AI Engineers / Agentic AI Developers to design, develop, and deploy enterprise-grade AI solutions with a focus on Agentic AI , Large Language Models (LLMs) , and Retrieval-Augmented Generation (RAG) .<br> The successful candidate will be responsible for building intelligent AI agents and workflows capable of reasoning, planning, task execution, and orchestration while ensuring all solutions are deployed in an on-premises environment using local AI models and tools.<br> Key Responsibilities Gather, analyze, and translate business requirements into scalable AI and Agentic AI solutions.<br> Design, develop, test, deploy, and maintain AI-powered applications and autonomous AI agents.<br> Build Agentic AI workflows capable of reasoning, planning, task execution, and orchestration.<br> Develop and integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent architectures.<br> Integrate AI solutions with enterprise applications, APIs, databases, cloud services, and on-premises systems.<br> Optimize AI models, prompts, workflows, and application performance.<br> Ensure AI solutions comply with enterprise security, governance, privacy, and Responsible AI standards.<br> Prepare technical documentation, deployment guides, operational manuals, and knowledge transfer materials.<br> Provide technical support, troubleshooting, performance tuning, and continuous improvements.<br> Design and implement AI solutions using on-premises infrastructure, local models, and enterprise-approved AI tools .<br> Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.<br> 5+ years of software development experience, including 2+ years working with AI/Generative AI technologies.<br> Strong experience with Python and AI application development.<br> Hands-on experience with Large Language Models (LLMs) and prompt engineering.<br> Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.<br> Experience building Agentic AI or multi-agent systems.<br> Experience integrating AI applications with REST APIs , databases, and enterprise applications.<br> Familiarity with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen , or similar.<br> Experience working with vector databases such as Milvus, ChromaDB, FAISS, Pinecone , or equivalent.<br> Knowledge of model deployment using Ollama, vLLM, Hugging Face Transformers, NVIDIA NIM , or similar on-premises inference platforms.<br> Experience deploying and managing AI solutions in on-premises environments .<br> Understanding of AI security, governance, privacy, and Responsible AI principles.<br> Experience with Docker, Kubernetes, Git, and CI/CD pipelines is preferred.<br> Strong analytical, problem-solving, communication, and documentation skills.<br> Preferred Skills Experience with open-source LLMs such as Llama, Mistral, Qwen, Gemma, or DeepSeek .<br> Experience with GPU infrastructure and AI model optimization.<br> Knowledge of MLOps practices and AI monitoring.<br> Experience integrating AI solutions with enterprise platforms such as SAP, ServiceNow, Microsoft 365, or other enterprise systems.<br> Experience working in highly secure or regulated enterprise environments.<br> This JD is aligned with your requirement that all AI use cases must run on-premises using local models and on-premises tools , making it suitable for enterprise or government projects.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Derq is an MIT spinoff building AI-powered traffic safety and smart infrastructure.<br> We’re a team of passionate innovators, leveraging the latest in AI and technology to transform the future of mobility.<br> Our platform enhances road safety and traffic management by turning real-time data into actionable insights for cities and road operators.<br> Our patented technology collects and analyzes data from connected sensors like cameras, radar, and traffic signal controllers to help predict and prevent road incidents.<br> We deploy edge and cloud solutions that make intersections and highways safer and smarter.<br> Role Overview We’re looking for a Senior Software Engineer to work on real-time systems powering traffic detection and smart mobility solutions while also contributing to web applications, APIs, and third-party integrations.<br> This role combines systems engineering and software development, with approximately 75% of the work focused on real-time edge and backend systems and 25% focused on application development, integrations, and operational tooling.<br> You'll work across Linux-based systems, cloud-connected services, internal tools, dashboards, and live traffic deployments where reliability, performance, and scalability are critical.<br> Key Responsibilities Design, develop, and maintain production-grade software systems across edge and cloud environments.<br> Build and optimize real-time data processing pipelines and system services supporting live traffic deployments.<br> Develop and maintain backend services, REST APIs, and integrations with third-party platforms and services.<br> Contribute to internal web applications, dashboards, and operational tools used for monitoring and managing deployed systems.<br> Integrate software with sensors, cameras, traffic controllers, and other edge devices.<br> Profile, debug, and optimize system performance across application, operating system, and networking layers.<br> Troubleshoot and resolve complex production issues in distributed and real-time environments.<br> Improve system observability through logging, monitoring, diagnostics, and performance tracking.<br> Build and maintain CI/CD pipelines, deployment workflows, and automation tooling.<br> Collaborate with ML, QA, deployment, and product teams to deliver robust, production-ready solutions.<br> 8+ years of experience in software engineering or a related field Strong experience with C++, Python, or both.<br> Solid Linux development experience.<br> Experience building, maintaining, or integrating backend services, REST APIs, and web applications.<br> Experience working with third-party APIs and software integrations.<br> Strong understanding of multithreading, concurrency, system performance, and production troubleshooting.<br> Working knowledge of networking fundamentals, including TCP/IP, DNS, routing, and secure connectivity.<br> Experience with Git, testing frameworks, and CI/CD practices.<br> Experience with cloud platforms, containerized applications, or distributed systems is a plus.<br> Exposure to edge computing, embedded Linux, hardware integration, sensors, or IoT systems is a plus.<br> Familiarity with frontend technologies, internal tooling, dashboards, or operational web applications is a plus.<br> Familiarity with computer vision pipelines or ML-powered systems is a plus.<br></span> </div>

<p>LLM Solution Design & Development</p><ul><li><p>Architect and deliver production-ready LLM applications, including conversational agents, intelligent assistants, and RAG pipelines with advanced retrieval and re-ranking.</p></li><li><p>Build multi-agent systems using <strong>Lang Chain, Lang Graph, Auto Gen, or Crew AI</strong>; apply prompt engineering techniques to optimize model performance.</p></li><li><p>Integrate LLM solutions with enterprise systems via REST APIs and event-driven architectures.</p></li></ul><p>Model Fine-Tuning & Optimization</p><ul><li><p>Lead fine-tuning (LoRA, QLoRA, instruction tuning) and benchmark foundation models such as <strong>Open AI, Mistral, Llama, and Gemini</strong> for specific use cases.</p></li><li><p>Optimize for latency, cost, and throughput; design evaluation frameworks to measure accuracy, hallucination, and safety.</p></li></ul><p>Agentic AI & Workflow Automation</p><ul><li><p>Design agentic workflows with tool use, memory management, planning loops, and human-in-the-loop controls.</p></li><li><p>Build AI-driven automation pipelines across structured and unstructured enterprise data sources.</p></li></ul><p>Vector Databases & Knowledge Infrastructure</p><ul><li><p>Design and manage vector stores (Pinecone, Weaviate, Qdrant, FAISS, or <strong>PG Vector</strong>) with semantic and hybrid search strategies.</p></li><li><p>Maintain knowledge bases powering enterprise AI applications, ensuring accuracy and freshness of indexed content.</p></li></ul><p>Technical Leadership & Mentoring</p><ul><li><p>Guide and review the work of associate-level engineers; contribute to reusable frameworks and internal engineering standards.</p></li><li><p>Lead client workshops, technical discovery sessions, and proof-of-concept demonstrations; produce clear solution design documentation.</p></li></ul><p>Trend Monitoring & Innovation</p><ul><li><p>Evaluate emerging LLMs, multimodal models, and local inference runtimes; prototype new tools and share findings with the team.</p></li><li><p>Contribute to Beinex thought leadership through internal knowledge-sharing sessions, technical write-ups, or industry presentations.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>5+ years of professional experience in AI Engineering, Machine Learning, or Applied NLP, with at least 2 years focused on LLMs and Generative AI.</p></li><li><p>Strong proficiency in Python and experience with <strong>Hugging Face Transformer Library, Lang Chain, Lang Graph, Fast API, and PyTorch</strong>.</p></li><li><p>Deep practical knowledge of LLM fine-tuning, prompt engineering, RAG pipeline design, and agentic AI development.</p></li><li><p>Hands-on experience with vector databases such as Pinecone, Weaviate, Qdrant, FAISS, or <strong>PG Vector</strong>, along with embedding models.</p></li><li><p>Proven ability to deploy and productionize AI solutions in AWS, Azure, or GCP using Docker and Kubernetes.</p></li><li><p>Experience integrating AI solutions with enterprise platforms through REST APIs, webhooks, or event-driven architectures.</p></li><li><p>Strong understanding of responsible AI principles, including hallucination mitigation, output evaluation, content safety, and model governance.</p></li><li><p>Excellent communication skills with the ability to explain complex technical concepts to both technical and business stakeholders.</p></li><li><p>Demonstrated ability to independently lead AI projects from solution design through production deployment.</p></li></ul><p>Preferred Certifications</p><ul><li><p>AWS Certified Machine Learning – Specialty, Azure AI Engineer, GCP Professional Machine Learning Engineer, or equivalent cloud AI/ML certification.</p></li><li><p>Deep Learning Specialization.</p></li><li><p>LLM Engineering or Generative AI certifications from recognized learning platforms such as <strong>Hugging Face, DeepLearning AI, or Databricks</strong>.</p></li><li><p>Certified Kubernetes Application Developer (CKAD) is an added advantage.</p></li></ul>

<p>Key Roles and Responsibilities</p><ol><li><p><strong>Network Security Design and Implementation</strong></p><ul><li><p>Design secure network architectures.</p></li><li><p>Configure firewalls, VPNs, routers, and switches.</p></li><li><p>Implement network segmentation and access controls.</p></li></ul></li><li><p><strong>Firewall and Security Device Management</strong></p><ul><li><p>Install, configure, and maintain firewalls.</p></li><li><p>Manage Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS).</p></li><li><p>Configure Web Application Firewalls (WAFs).</p></li></ul></li><li><p><strong>Network Monitoring</strong></p><ul><li><p>Monitor network traffic for suspicious activities.</p></li><li><p>Analyze security logs using SIEM tools.</p></li><li><p>Detect and respond to security incidents.</p></li></ul></li><li><p><strong>Vulnerability Assessment and Risk Management</strong></p><ul><li><p>Perform vulnerability scans.</p></li><li><p>Identify and remediate security weaknesses.</p></li><li><p>Conduct risk assessments and recommend security improvements.</p></li></ul></li><li><p><strong>Incident Response</strong></p><ul><li><p>Investigate network security incidents.</p></li><li><p>Contain, eradicate, and recover from cyberattacks.</p></li><li><p>Conduct root cause analysis and prepare incident reports.</p></li></ul></li><li><p><strong>Access Control Management</strong></p><ul><li><p>Implement Identity and Access Management (IAM).</p></li><li><p>Configure authentication protocols such as MFA, RADIUS, and TACACS+.</p></li><li><p>Enforce least-privilege access policies.</p></li></ul></li><li><p><strong>Security Policy Implementation</strong></p><ul><li><p>Develop and enforce network security policies.</p></li><li><p>Ensure compliance with organizational security standards.</p></li><li><p>Document security procedures and configurations.</p></li></ul></li><li><p><strong>Patch and Configuration Management</strong></p><ul><li><p>Apply firmware and software updates.</p></li><li><p>Harden network devices following security best practices.</p></li><li><p>Maintain secure configurations.</p></li></ul></li><li><p><strong>Disaster Recovery and Business Continuity</strong></p><ul><li><p>Develop backup and recovery plans.</p></li><li><p>Ensure network redundancy and high availability.</p></li><li><p>Participate in disaster recovery testing.</p></li></ul></li><li><p><strong>Compliance and Auditing</strong></p><ul><li><p>Support compliance with standards such as ISO 27001, PCI DSS, HIPAA, or NIST.</p></li><li><p>Prepare documentation for security audits.</p></li><li><p>Address audit findings.</p></li></ul></li><li><p><strong>Collaboration</strong></p><ul><li><p>Work with system administrators, cloud engineers, SOC analysts, and IT teams.</p></li><li><p>Support security awareness initiatives.</p></li><li><p>Assist in implementing secure network changes.</p></li></ul></li></ol><p>Common Tools Used</p><ul><li><p>Firewalls: Palo Alto, Fortinet, Cisco ASA/Firepower, Check Point</p></li><li><p>SIEM: Splunk, Microsoft Sentinel, QRadar</p></li><li><p>IDS/IPS: Snort, Suricata</p></li><li><p>VPN: Cisco AnyConnect, OpenVPN</p></li><li><p>Network Monitoring: Wireshark, SolarWinds, PRTG, Nagios</p></li><li><p>Vulnerability Scanners: Nessus, Qualys, OpenVAS</p></li><li><p>Cloud Security: AWS Security Groups, Azure NSGs, Google Cloud Firewall</p></li></ul><p>Essential Skills</p><ul><li><p>TCP/IP, DNS, DHCP, VLANs, Routing, Switching</p></li><li><p>Network protocols and packet analysis</p></li><li><p>Firewall administration</p></li><li><p>VPN technologies (IPSec, SSL VPN)</p></li><li><p>Network Access Control (NAC)</p></li><li><p>SIEM and log analysis</p></li><li><p>Linux and Windows administration</p></li><li><p>Scripting (Python, Bash, PowerShell)</p></li><li><p>Cloud networking and security</p></li><li><p>Incident response and troubleshooting</p></li></ul><p>Typical Daily Activities</p><ul><li><p>Monitor network security alerts.</p></li><li><p>Review firewall and VPN logs.</p></li><li><p>Respond to security incidents.</p></li><li><p>Implement firewall rule changes.</p></li><li><p>Conduct vulnerability scans.</p></li><li><p>Patch network devices.</p></li><li><p>Analyze suspicious network traffic.</p></li><li><p>Document network changes and security incidents.</p></li><li><p>Collaborate with IT and security teams to strengthen network defenses.</p></li></ul><p>Certifications That Add Value</p><ul><li><p>Cisco CCNA Security / CCNP Security</p></li><li><p>CompTIA Security+</p></li><li><p>CompTIA CySA+</p></li><li><p>Certified Information Systems Security Professional (CISSP)</p></li><li><p>Certified Ethical Hacker (CEH)</p></li><li><p>Palo Alto Networks Certified Network Security Engineer (PCNSE)</p></li><li><p>Fortinet NSE Certification</p></li><li><p>GIAC Certified Incident Handler (GCIH)</p></li></ul><p>A Network Security Engineer plays a critical role in protecting enterprise networks from cyber threats while ensuring secure, reliable, and compliant network operations.</p><p><strong>Desired Candidate Profile</strong></p><p>Cisco CCNA Security / CCNP Security</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking a Dell Deployment Consultant (Russian Speaker) to support the deployment, implementation, and integration of Dell Technologies solutions for enterprise customers.<br> The ideal candidate will work closely with customers, project managers, and technical teams to plan, install, configure, and deploy Dell infrastructure solutions while ensuring successful project delivery and high customer satisfaction.<br> The role requires fluency in Russian and English , strong technical deployment experience, and the ability to manage customer engagements throughout the deployment lifecycle.<br> Key Responsibilities Lead the deployment and implementation of Dell Technologies solutions for enterprise customers.<br> Install, configure, and deploy Dell infrastructure products, including servers, storage, virtualization, and related solutions.<br> Gather customer requirements and translate them into deployment plans.<br> Perform solution installation, configuration, testing, validation, and go-live activities.<br> Execute system upgrades, migrations, and deployment activities with minimal business disruption.<br> Collaborate with project managers, architects, engineers, and support teams throughout the project lifecycle.<br> Conduct system health checks and deployment verification.<br> Support hardware and software integration activities.<br> Perform troubleshooting during deployment and coordinate issue resolution with Dell technical support when required.<br> Develop implementation documentation, deployment guides, and technical reports.<br> Deliver knowledge transfer and end-user or administrator training.<br> Ensure deployments follow Dell best practices and customer requirements.<br> Provide post-deployment support and transition projects to the support team.<br> Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.<br> Fluent Russian and English (spoken and written) is mandatory.<br> 3+ years of experience in deployment, implementation, or professional services.<br> Hands-on experience with Dell Technologies infrastructure solutions.<br> Experience deploying Dell PowerEdge Servers, Dell PowerStore, PowerMax, PowerScale, Unity XT, or other Dell storage solutions.<br> Experience with VMware vSphere or Microsoft Hyper-V virtualization platforms.<br> Knowledge of Windows Server and Linux operating systems.<br> Understanding of networking concepts including TCP/IP, VLANs, DNS, DHCP, and SAN technologies.<br> Experience with data migration and infrastructure deployment projects.<br> Strong troubleshooting and analytical skills.<br> Excellent customer-facing communication skills.<br> Preferred Qualifications Dell Technologies certifications (DCA, DCS, DCE, or equivalent).<br> Experience with VMware, Microsoft, or Red Hat technologies.<br> Knowledge of backup and disaster recovery solutions.<br> Experience with cloud platforms such as Microsoft Azure or AWS.<br> Familiarity with automation and scripting tools such as PowerShell, Bash, or Python.<br> ITIL Foundation certification is an advantage.<br> Soft Skills Strong customer service orientation.<br> Excellent communication and presentation skills.<br> Ability to manage multiple deployment projects simultaneously.<br> Strong organizational and documentation skills.<br> Ability to work independently and within international teams.<br> Willingness to travel if required.<br> Preferred Experience Enterprise infrastructure deployment.<br> Data center implementation and migration projects.<br> Dell Technologies Professional Services experience.<br> Multi-country or multinational customer deployments.<br> Experience working in a consulting or system integrator environment.<br></span> </div>