Python Developer Jobs - Dubai UAE

<p>KOTRA Dubai helps UAE-based Korean clients for recruitment. KOTRA Dubai DOESN'T ACCEPT TELEPHONE INQUIRIES. KOTRA Dubai has NO RESPONSIBILITY for the contract between the company below and the applicants. Company Name: SoluM MEA FZCO Company Location: BCA1 416, Dubai CommerCity, 11, 17th Street, Umm Ramool Dubai, UAE Company Introduction: SOLUM, a spin-off from Samsung Electro-Mechanics in 2015, builds on over 50 years of technological heritage to lead the global market inelectronic components and smart solutions. Originally focused on power modules, tuners, and ESLs, SOLUM is evolving from a product-centric to a solution- and platform-driven business, delivering integrated systems that enhance operational efficiency, reduce energy consumption, and increase customer revenue. With continued investment in eco-friendly energy, healthcare, and digital innovation—including ESL, power, and signage solutions—SOLUM is committed to its vision of becoming the Global No.1 Solution Provider, shaping a smarter and more sustainable future through technology. Job Description: Application Engineer Key Responsibilities: • Provide production support, troubleshooting, and maintenance, ensuring seamless operations. • Resolve issues promptly by following Standard Operating Procedures. • Handle mission-critical tasks within the production environment. • Collaborate with L3 engineering teams to address incidents and defects effectively. • Develop and maintain SQL and script monitors to enhance monitoring capabilities. • Conduct root cause analysis for defects reported by partners and customers. • Offer application support in both SaaS (Software as a Service) and On-Premise environments. • Available to work during nights and weekends to ensure continuous support and service availability.</p><p>• Language: [Required] English, Arabic / [Preferred] Korean • Bachelor's degree, preferably Computer Science degree, and minimum 3 years prior experience in a Production Support role. • Experience with Windows and Linux Administration • Experience with Unix commands and basic scripting (Shell, Python). • TCP/IP Network troubleshooting and support, including DNS, DHCP & HTTP protocols. • Taking thread dumps, analyzing them for potential issues • Microsoft Azure or Google Cloud Platform experience • Understanding of cloud computing concepts and technologies • Strong knowledge on SQL/NoSQL (writing query, Joins, View, query explain etc) - Execute, debug and test SQL programs • Knowledge on Grafana, Kibana or any equivalent Monitoring tool (AppD, Splunk) • Strong knowledge on Tomcat stack (Apache, https, SSL ) • Good working experience with Java, Microservices. • Familiarity with the Docker/Kubernetes container for microservice implementation • Knowledge of Git, RPM, Rancher , docker hub • Previous experience in a customer facing role, including excellent written and oral communications skill Working Conditions: - Expected Date of Recruitment: ASAP(Negotiable) - Salary: Salary depending on experience and skills - Term of the Contract: 2 years (can be extended) - Working Hours: 5 Days (8 hours a day) - Annual leaves: as per UAE Labor law - Severance payment: as per UAE Labor law - Insurance: Support - Visa: Support - Flight fee to home country: Not Support - Accompanying Family: Support(insurance for the accompanying family) - Support for telecommunications expenses, business trip expenses, etc</p>

<p>KOTRA Dubai helps UAE-based Korean clients for recruitment. KOTRA Dubai DOESN'T ACCEPT TELEPHONE INQUIRIES. KOTRA Dubai has NO RESPONSIBILITY for the contract between the company below and the applicants. Company Name: SoluM MEA FZCO Company Location: BCA1 416, Dubai CommerCity, 11, 17th Street, Umm Ramool Dubai, UAE Company Introduction: SOLUM, a spin-off from Samsung Electro-Mechanics in 2015, builds on over 50 years of technological heritage to lead the global market inelectronic components and smart solutions. Originally focused on power modules, tuners, and ESLs, SOLUM is evolving from a product-centric to a solution- and platform-driven business, delivering integrated systems that enhance operational efficiency, reduce energy consumption, and increase customer revenue. With continued investment in eco-friendly energy, healthcare, and digital innovation—including ESL, power, and signage solutions—SOLUM is committed to its vision of becoming the Global No.1 Solution Provider, shaping a smarter and more sustainable future through technology. Job Description: Application Engineer Key Responsibilities: • Provide production support, troubleshooting, and maintenance, ensuring seamless operations. • Resolve issues promptly by following Standard Operating Procedures. • Handle mission-critical tasks within the production environment. • Collaborate with L3 engineering teams to address incidents and defects effectively. • Develop and maintain SQL and script monitors to enhance monitoring capabilities. • Conduct root cause analysis for defects reported by partners and customers. • Offer application support in both SaaS (Software as a Service) and On-Premise environments. • Available to work during nights and weekends to ensure continuous support and service availability.</p><p>• Language: [Required] English, Arabic / [Preferred] Korean • Bachelor's degree, preferably Computer Science degree, and minimum 3 years prior experience in a Production Support role. • Experience with Windows and Linux Administration • Experience with Unix commands and basic scripting (Shell, Python). • TCP/IP Network troubleshooting and support, including DNS, DHCP & HTTP protocols. • Taking thread dumps, analyzing them for potential issues • Microsoft Azure or Google Cloud Platform experience • Understanding of cloud computing concepts and technologies • Strong knowledge on SQL/NoSQL (writing query, Joins, View, query explain etc) - Execute, debug and test SQL programs • Knowledge on Grafana, Kibana or any equivalent Monitoring tool (AppD, Splunk) • Strong knowledge on Tomcat stack (Apache, https, SSL ) • Good working experience with Java, Microservices. • Familiarity with the Docker/Kubernetes container for microservice implementation • Knowledge of Git, RPM, Rancher , docker hub • Previous experience in a customer facing role, including excellent written and oral communications skill Working Conditions: - Expected Date of Recruitment: ASAP(Negotiable) - Salary: Salary depending on experience and skills - Term of the Contract: 2 years (can be extended) - Working Hours: 5 Days (8 hours a day) - Annual leaves: as per UAE Labor law - Severance payment: as per UAE Labor law - Insurance: Support - Visa: Support - Flight fee to home country: Not Support - Accompanying Family: Support(insurance for the accompanying family) - Support for telecommunications expenses, business trip expenses, etc</p>

<ul><li><p>Develop and maintain responsive websites and web applications.</p></li><li><p>Develop and maintain Android and iOS mobile applications.</p></li><li><p>Build and maintain backend systems, databases, and REST APIs.</p></li><li><p>Develop secure login, registration, user-management, and role-based systems.</p></li><li><p>Integrate third-party APIs and services.</p></li><li><p>Integrate payment gateways, maps, notifications, WhatsApp, email, and other required services.</p></li><li><p>Design and manage databases.</p></li><li><p>Troubleshoot bugs, improve application performance, and maintain security.</p></li><li><p>Deploy and maintain applications on production servers and cloud platforms.</p></li><li><p>Publish and maintain applications on Google Play Store and Apple App Store.</p></li><li><p>Work with management to understand requirements and convert them into functional technical solutions.</p></li><li><p>Maintain existing applications and continuously improve functionality and user experience.</p></li><li><p>Ensure websites and applications are optimized for speed, security, scalability, and mobile responsiveness.</p></li></ul><p>Required Technical Skills</p><p>The candidate should have strong practical experience in most of the following:</p><p><strong>Frontend</strong></p><ul><li><p>HTML5, CSS3, JavaScript</p></li><li><p>React.js / Next.js or equivalent</p></li><li><p>Responsive web development</p></li></ul><p><strong>Backend</strong></p><ul><li><p>Node.js / PHP / Laravel / Python or equivalent</p></li><li><p>REST API development and integration</p></li><li><p>Authentication and authorization</p></li></ul><p><strong>Mobile</strong></p><ul><li><p>Flutter / Dart or React Native</p></li><li><p>Android and iOS application development</p></li><li><p>App deployment and maintenance</p></li></ul><p><strong>Database</strong></p><ul><li><p>MySQL / PostgreSQL / MongoDB</p></li><li><p>Database design and management</p></li></ul><p><strong>DevOps & Tools</strong></p><ul><li><p>Git / GitHub</p></li><li><p>Cloud hosting and server deployment</p></li><li><p>Basic Linux/server administration</p></li><li><p>Debugging and performance optimization</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p><strong>2+ years of professional full-stack development experience.</strong></p></li><li><p>Demonstrable experience developing both <strong>web and mobile applications</strong>.</p></li><li><p>Strong problem-solving and troubleshooting skills.</p></li><li><p>Ability to work independently and manage multiple development tasks.</p></li><li><p>Good understanding of software development best practices.</p></li><li><p>Ability to communicate clearly with non-technical management.</p></li><li><p>Candidates must provide examples of previous projects, websites, or mobile applications.</p></li><li><p>UAE experience is preferred.</p></li><li><p>Candidate should be available to work in Dubai.</p></li></ul><p>Portfolio Requirement</p><p><strong>Applications without a portfolio or examples of previous development work may not be considered.</strong></p><p>Please provide at least one of the following with your application:</p><ul><li><p>GitHub profile</p></li><li><p>Personal portfolio</p></li><li><p>Live websites developed by you</p></li><li><p>Mobile applications developed by you</p></li><li><p>Links to Google Play / Apple App Store applications</p></li><li><p>Relevant project screenshots or demonstrations</p></li></ul>

<ul><li><p>Design, implement, and manage enterprise CI/CD pipelines supporting banking applications, APIs, microservices, and digital platforms.</p></li><li><p>Build and maintain automated deployment pipelines using GitHub, GitHub Actions, Azure DevOps, and Infrastructure as Code (IaC).</p></li><li><p>Manage application deployments across Azure and AWS cloud environments, ensuring high availability, scalability, and security.</p></li><li><p>Implement DevSecOps controls including code quality gates, security scanning, vulnerability management, and compliance automation.</p></li><li><p>Administer and optimize SonarQube quality gates, code coverage, and technical debt management processes.</p></li><li><p>Design and maintain Kubernetes, OpenShift, AKS, and EKS deployment platforms.</p></li><li><p>Collaborate with development, security, infrastructure, SRE, and architecture teams to ensure reliable delivery of banking solutions.</p></li><li><p>Automate infrastructure provisioning, monitoring, disaster recovery, backup, and operational processes.</p></li><li><p>Support release management, environment management, production deployments, and incident resolution activities.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Required Skills *</p><ul><li><p>Strong hands-on experience with GitHub, GitHub Actions, GitHub Enterprise, and Azure DevOps.</p></li><li><p>Expert knowledge of CI/CD pipeline design, implementation, and optimization.</p></li><li><p>Hands-on experience with SonarQube, SAST, DAST, dependency scanning, and secure SDLC practices.</p></li><li><p>Strong expertise in Azure services including Azure DevOps, AKS, Key Vault, App Services, Application Insights, and Azure Monitor.</p></li><li><p>Strong expertise in AWS services including EKS, EC2, ECS, IAM, CloudWatch, S3, Lambda, and CloudFormation.</p></li><li><p>Experience with Docker, Kubernetes, Helm Charts, OpenShift, and container orchestration platforms.</p></li><li><p>Strong scripting experience using Shell, PowerShell, Python, or Bash.</p></li><li><p>Experience implementing Infrastructure as Code using Terraform, ARM, Bicep, or CloudFormation.</p></li></ul><p>Required Experience / Knowledge Areas *</p><ul><li><p>5+ years of DevOps engineering experience in enterprise environments.</p></li><li><p>Experience supporting banking, financial services, digital channels, API platforms, or mission-critical systems.</p></li><li><p>Strong understanding of API and microservices deployment strategies.</p></li><li><p>Experience implementing DevSecOps controls and regulatory compliance requirements.</p></li><li><p>Knowledge of cloud-native architecture, resilience, high availability, disaster recovery, and platform observability.</p></li><li><p>Experience with Agile, DevOps, SRE, and Platform Engineering practices.</p></li><li><p>Familiarity with change management, CAB approvals, release governance, and audit requirements in regulated environments.</p></li></ul></li></ul><br><p>Skills CI/CD pipeline design Azure services AWS services</p>

<p>Vega International is looking for a skilled <strong>AI Specialist</strong> with strong hands-on experience in <strong>Agentic AI, Generative AI, AI assistants, and intelligent workflow automation</strong>.</p><p>The ideal candidate should be able to design, develop, and implement AI agents that can perform tasks, interact with business systems, analyse information, and automate operational workflows.</p><p>Key Responsibilities</p><ul><li><p>Develop and deploy Agentic AI solutions and autonomous AI assistants.</p></li><li><p>Build multi-agent workflows for business process automation.</p></li><li><p>Design AI-powered chatbots and virtual assistants.</p></li><li><p>Integrate AI agents with CRM, ERP, WhatsApp, email, websites, and internal business systems.</p></li><li><p>Develop Retrieval-Augmented Generation (RAG) solutions using company documents and databases.</p></li><li><p>Integrate Large Language Models through APIs.</p></li><li><p>Create AI automation solutions for recruitment, training, procurement, customer service, and business operations.</p></li><li><p>Test, monitor, troubleshoot, and improve AI agent performance.</p></li><li><p>Ensure data security, accuracy, reliability, and responsible AI implementation.</p></li><li><p>Work closely with business teams to convert operational requirements into practical AI solutions.</p></li></ul><br><br><p>Preferred Qualifications</p><ul><li><p>Bachelor’s or Master’s degree in Artificial Intelligence, Computer Science, Data Science, Software Engineering, or a related field.</p></li><li><p>Previous experience implementing Agentic AI solutions for real business use cases.</p></li><li><p>Portfolio, GitHub profile, live AI applications, or completed AI automation projects will be highly </p></li><li><p>preferred.</p></li></ul><br><p>Application Requirements</p><p>Candidates should submit:</p><ul><li><p>Updated CV.</p></li><li><p>Portfolio or GitHub profile.</p></li><li><p>Details of Agentic AI projects completed.</p></li><li><p>AI frameworks and automation tools used.</p></li><li><p>Current location, notice period, and expected salary.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p>Required Skills</p><ul><li><p>Strong knowledge of Agentic AI and Generative AI.</p></li><li><p>Hands-on experience with Python and AI/LLM APIs.</p></li><li><p>Experience with frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar tools.</p></li><li><p>Understanding of RAG, vector databases, embeddings, prompt engineering, and function calling.</p></li><li><p>Experience integrating AI applications with third-party APIs and business platforms.</p></li><li><p>Familiarity with workflow automation platforms such as n8n, Make, Zapier, or Power Automate.</p></li><li><p>Knowledge of cloud platforms such as Azure, AWS, or Google Cloud is preferred.</p></li><li><p>Strong problem-solving and communication skills.</p></li><li><p>Ability to independently build AI solutions from concept to deployment</p></li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ol><li><p>Serve as the onsite DevOps point of contact, coordinating deployment, installation, and support activities in close collaboration with the central/internal DevOps team</p></li><li><p>Support end-to-end product installation and deployment cycles on client premises, ensuring smooth handoffs between internal engineering teams and onsite infrastructure</p></li><li><p>Manage and troubleshoot cloud infrastructure across multi-cloud environments (Azure, OCI Public, or OCI Dedicated Region), assisting with provisioning, configuration, and environment setup</p></li><li><p>Monitor system health, application uptime, and infrastructure performance; escalate and coordinate resolution of incidents with internal teams</p></li><li><p>Execute and support CI/CD pipeline operations, releases, patches, and version upgrades onsite</p></li><li><p>Maintain infrastructure-as-code, configuration management, and deployment scripts/runbooks in coordination with central DevOps.</p></li><li><p>Coordinate network, security, and access configurations required for onsite deployments (firewalls, VPN, certificates, etc.)</p></li><li><p>Support backup, DR, and failover procedures as per organizational policies</p></li><li><p>Document infrastructure changes, deployment steps, and incident resolutions for audit and knowledge-sharing purposes</p></li><li><p>Liaise with onsite IT/infrastructure teams to resolve environment-specific dependencies or blockers</p></li><li><p>Participate in on-call/onsite support rotations as required</p></li></ol></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ol><li><p>3-6 years of experience in DevOps, Site Reliability, or Infrastructure Engineering roles</p></li><li><p>Hands-on experience with at least one major cloud platform (Azure or OCI strongly preferred); working knowledge of a second cloud platform is a plus</p></li><li><p>Proficiency with CI/CD tools (Jenkins, GitLab CI, Azure DevOps, or similar)</p></li><li><p>Strong Linux administration and scripting skills (Bash, Python, or similar)</p></li><li><p>Experience with containerization and orchestration (Docker, Kubernetes)</p></li><li><p>Familiarity with infrastructure-as-code tools (Terraform, Ansible, or equivalent)</p></li><li><p>Understanding of networking fundamentals, firewalls, VPNs, and certificate management</p></li><li><p>Prior experience working onsite at client/enterprise environments, comfortable being the primary technical point of contact</p></li><li><p>Strong troubleshooting and incident-response mindset with good communication skills to coordinate across internal and onsite stakeholders</p></li><li><p>Willingness to work from client premises full-time and adapt to enterprise IT policies/security requirements</p></li><li><p>Relevant cloud certification (Azure Administrator/Architect, OCI Associate/Professional) preferred</p></li></ol><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Data Strategy and Enablement</p><ul><li><p>Lead the Data &amp; AI Enablement agenda by defining and executing the data strategy aligned with the Group CDO and Digital Transformation plan.</p></li><li><p>Design and deliver the AI-enabled Data platform by establishing data pipelines and governance frameworks for AFF, Hertz, and related businesses.</p></li><li><p>Build AI capability by developing internal data science and ML delivery capabilities for use cases like credit risk, pricing, fraud detection, and collections optimization.</p></li></ul><p>Data Governance and Compliance</p><ul><li><p>Implement policies, metadata management, lineage, and quality frameworks aligned with Group data leads.</p></li><li><p>Ensure data governance score achieves 95% with zero critical audit findings.</p></li></ul><p>Analytics and BI Delivery</p><ul><li><p>Drive data analytics platform adoption, ensuring implementation of executive dashboards covering profitability, equity, RoE, and self-service analytics for business teams.</p></li><li><p>Aim for BI adoption rate of 80% with reduction in manual reports.</p></li></ul><p>Collaboration and Partnership Management</p><ul><li><p>Collaborate with Group &amp; Divisional teams to ensure synergy with AFS&amp;TD, GTDP, EIB and initiatives to avoid duplication and ensure reuse of shared data assets.</p></li><li><p>Manage relationship with data engineering vendors, AI partners, and Group shared services (infrastructure, security) with SLA adherence of 95% and cost efficiency within budget.</p></li></ul><p>Required Skills To Be Successful:</p><ul><li><p>Strong technical knowledge of Azure Data Factory, Power BI, SQL, and Fabric Lakehouse.</p></li><li><p>Familiarity with Python and ML frameworks such as Scikit-learn and Azure ML for model deployment.</p></li><li><p>Experience establishing and enforcing data governance towards certified data concepts, lineage, and quality frameworks.</p></li><li><p>Deep understanding of financial product data models, including Portfolio, Profitability, and RoE.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>10+ years in Data &amp; Analytics roles with at least 5 years in leadership capacity.</p></li><li><p>Hands-on experience designing and delivering fully AI enabled data platforms.</p></li><li><p>Proven experience in AI/ML delivery, such as credit risk, pricing, and customer analytics, including building digital twins.</p></li><li><p>Track record of managing data engineering and BI delivery teams, both internal and vendor.</p></li></ul><p></p></section>

Job Description<br><br>Senior Associate Technology – Endur L2 Support<br><br>As a Senior Associate Technology, you will be responsible for providing functional and technical support for Endur applications within the energy and commodities trading domain. You will work closely with business users, production support teams, and technology stakeholders to investigate and resolve issues, ensure platform stability, monitor application performance, and support day-to-day trading operations.<br><br>Provides Level 2 functional and technical support for Endur, ensuring stable day-to-day trading operations, accurate P&L, and smooth EOD processing. Investigate and resolve Endur incidents across FO, MO, BO and Logistics; perform EOD monitoring and health checks; analyse recurring issues and drive permanent fixes; support UAT and regression testing; maintain SOPs and knowledge articles; act as SME for business users. The role requires strong Endur expertise, problem-solving skills, and the ability to manage incidents, service requests, and system enhancements while maintaining high service standards and operational excellence.<br><br>Qualifications<br><br>Skills & Experience<br><br>5+ years of experience in technology consulting, with a focus on Endur implementation and support. Exposure to Endur configuration, customization, and integration with third-party systems. Hands-on experience with Endur scripting, SQL, and database management. Strong understanding of energy and commodities trading, including risk management and regulatory compliance. Excellent problem-solving and analytical skills, with a strong attention to detail. Strong communication and stakeholder management skills, with the ability to work in a fast-paced, client-facing environment. Experience with Agile methodologies and project management tools.<br><br>Set Yourself Apart With<br><br>Experience with cloud-based Endur solutions and modernizing legacy systems. Knowledge of Python, Java, or other programming languages for Endur customization. Experience with data analytics and visualization tools for trading insights.<br><br>Additional Information<br><br>An inclusive workplace that promotes diversity and collaboration. Access to ongoing learning and development opportunities. Competitive compensation and benefits package. Flexibility to support work-life balance. Comprehensive health benefits for you and your family. Generous paid leave and holidays. Wellness program and employee assistance.<br><br>Company Description<br><br>Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

<p>ey&nbsp;Responsibilities</p><ul><li><p>Manage&nbsp;AWS&nbsp;infrastructure&nbsp;across&nbsp;<strong>Production,&nbsp;Staging,&nbsp;and&nbsp;Development</strong>,&nbsp;including&nbsp;EC2,&nbsp;VPCs,&nbsp;subnets,&nbsp;security&nbsp;groups,&nbsp;IAM,&nbsp;and&nbsp;private&nbsp;networking.</p></li><li><p>Configure&nbsp;and&nbsp;maintain&nbsp;<strong>load&nbsp;balancers,&nbsp;Cloudflare,&nbsp;DNS,&nbsp;WAF,&nbsp;caching,&nbsp;DDoS&nbsp;protection,&nbsp;and&nbsp;VPN&nbsp;connectivity</strong>.</p></li><li><p>Deploy,&nbsp;configure,&nbsp;and&nbsp;manage&nbsp;<strong>Kafka&nbsp;and&nbsp;Redis</strong>,&nbsp;including&nbsp;Kafka&nbsp;topics,&nbsp;partitions,&nbsp;consumer&nbsp;groups,&nbsp;retention,&nbsp;Redis&nbsp;clustering,&nbsp;persistence,&nbsp;and&nbsp;performance&nbsp;tuning.</p></li><li><p>Deploy&nbsp;and&nbsp;operate&nbsp;<strong>Node.js/NestJS&nbsp;backend&nbsp;and&nbsp;Next.js&nbsp;frontend&nbsp;applications</strong>,&nbsp;including&nbsp;scaling,&nbsp;configuration,&nbsp;performance&nbsp;tuning,&nbsp;and&nbsp;zero-downtime&nbsp;deployments.</p></li><li><p>Build&nbsp;and&nbsp;maintain&nbsp;<strong>CI/CD&nbsp;pipelines</strong>&nbsp;with&nbsp;automated&nbsp;builds,&nbsp;testing,&nbsp;deployment&nbsp;gates,&nbsp;rollbacks,&nbsp;and&nbsp;release&nbsp;tracking.</p></li><li><p>Implement&nbsp;and&nbsp;maintain&nbsp;monitoring&nbsp;and&nbsp;observability&nbsp;using&nbsp;<strong>Prometheus&nbsp;and&nbsp;Grafana</strong>,&nbsp;including&nbsp;dashboards,&nbsp;alerts,&nbsp;and&nbsp;centralized&nbsp;log&nbsp;analysis.</p></li><li><p>Implement&nbsp;strong&nbsp;<strong>security&nbsp;and&nbsp;access&nbsp;controls</strong>,&nbsp;including&nbsp;IAM,&nbsp;least-privilege&nbsp;access,&nbsp;secrets&nbsp;management,&nbsp;encryption,&nbsp;network&nbsp;security,&nbsp;and&nbsp;secure&nbsp;remote&nbsp;access.</p></li><li><p>Design&nbsp;and&nbsp;maintain&nbsp;<strong>high-availability,&nbsp;backup,&nbsp;failover,&nbsp;recovery,&nbsp;and&nbsp;disaster-recovery</strong>&nbsp;mechanisms.</p></li><li><p>Monitor&nbsp;system&nbsp;performance,&nbsp;latency,&nbsp;capacity,&nbsp;resource&nbsp;utilization,&nbsp;and&nbsp;infrastructure&nbsp;costs.</p></li><li><p>Implement&nbsp;<strong>Infrastructure&nbsp;as&nbsp;Code&nbsp;(IaC)</strong>&nbsp;using&nbsp;Terraform&nbsp;or&nbsp;CloudFormation&nbsp;and&nbsp;configuration&nbsp;management&nbsp;using&nbsp;Ansible.</p></li><li><p>Manage&nbsp;Docker-based&nbsp;environments&nbsp;and&nbsp;support&nbsp;<strong>Kubernetes</strong>&nbsp;deployments.</p></li><li><p>Participate&nbsp;in&nbsp;<strong>incident&nbsp;response,&nbsp;troubleshooting,&nbsp;root-cause&nbsp;analysis,&nbsp;and&nbsp;post-incident&nbsp;improvements</strong>.</p></li><li><p>Develop&nbsp;automation&nbsp;scripts&nbsp;using&nbsp;<strong>Bash&nbsp;and&nbsp;Python</strong>.</p></li><li><p>Maintain&nbsp;clear&nbsp;infrastructure&nbsp;documentation&nbsp;and&nbsp;ensure&nbsp;environments&nbsp;are&nbsp;reproducible&nbsp;and&nbsp;auditable.</p></li><li><p>Support&nbsp;secure&nbsp;infrastructure&nbsp;for&nbsp;<strong>crypto&nbsp;exchange&nbsp;connectivity&nbsp;and&nbsp;blockchain-facing&nbsp;workloads</strong>.</p><ul><li><p><strong>anagement&nbsp;environments</strong>.</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Required&nbsp;Skills&nbsp;&&nbsp;Qualifications</p><ul><li><p><strong>5+&nbsp;years&nbsp;of&nbsp;hands-on&nbsp;experience</strong>&nbsp;in&nbsp;DevOps,&nbsp;SRE,&nbsp;Cloud&nbsp;Infrastructure,&nbsp;or&nbsp;a&nbsp;similar&nbsp;role.</p></li><li><p>Strong&nbsp;practical&nbsp;experience&nbsp;with&nbsp;<strong>AWS</strong>,&nbsp;especially:</p><ul><li><p>EC2</p></li><li><p>VPC</p></li><li><p>Subnets</p></li><li><p>Security&nbsp;Groups</p></li><li><p>IAM</p></li><li><p>Load&nbsp;Balancers</p></li><li><p>Multi-environment&nbsp;infrastructure</p></li></ul></li><li><p>Strong&nbsp;<strong>Linux&nbsp;administration&nbsp;and&nbsp;networking</strong>&nbsp;fundamentals&nbsp;including&nbsp;TCP/IP,&nbsp;DNS,&nbsp;VPN,&nbsp;and&nbsp;private&nbsp;networking.</p></li><li><p>Production&nbsp;experience&nbsp;with&nbsp;<strong>Kafka&nbsp;and&nbsp;Redis</strong>.</p></li><li><p>Experience&nbsp;operating&nbsp;<strong>Node.js&nbsp;applications</strong>;&nbsp;NestJS&nbsp;and&nbsp;Next.js&nbsp;experience&nbsp;is&nbsp;preferred.</p></li><li><p>Strong&nbsp;experience&nbsp;with&nbsp;<strong>CI/CD</strong>&nbsp;tools&nbsp;such&nbsp;as&nbsp;GitHub&nbsp;Actions,&nbsp;GitLab&nbsp;CI,&nbsp;Jenkins,&nbsp;or&nbsp;equivalent.</p></li><li><p>Hands-on&nbsp;experience&nbsp;with&nbsp;<strong>Cloudflare</strong>,&nbsp;DNS,&nbsp;WAF,&nbsp;caching,&nbsp;and&nbsp;DDoS&nbsp;protection.</p></li><li><p>Experience&nbsp;with&nbsp;<strong>Prometheus,&nbsp;Grafana,&nbsp;monitoring,&nbsp;alerting,&nbsp;and&nbsp;centralized&nbsp;logging</strong>.</p></li><li><p>Strong&nbsp;Infrastructure-as-Code&nbsp;experience&nbsp;with&nbsp;<strong>Terraform</strong>;&nbsp;CloudFormation&nbsp;is&nbsp;acceptable.</p></li><li><p>Experience&nbsp;with&nbsp;<strong>Ansible</strong>&nbsp;or&nbsp;similar&nbsp;configuration-management&nbsp;tools.</p></li><li><p>Hands-on&nbsp;experience&nbsp;with&nbsp;<strong>Docker</strong>&nbsp;and&nbsp;containerized&nbsp;applications;&nbsp;Kubernetes&nbsp;familiarity&nbsp;is&nbsp;required.</p></li><li><p>Strong&nbsp;understanding&nbsp;of&nbsp;<strong>cloud&nbsp;security,&nbsp;IAM,&nbsp;secrets&nbsp;management,&nbsp;encryption,&nbsp;and&nbsp;network&nbsp;security</strong>.</p></li><li><p>Strong&nbsp;scripting&nbsp;skills&nbsp;in&nbsp;<strong>Bash&nbsp;and/or&nbsp;Python</strong>.</p></li><li><p>Basic&nbsp;understanding&nbsp;of&nbsp;<strong>blockchain&nbsp;and&nbsp;cryptocurrency&nbsp;infrastructure</strong>,&nbsp;including&nbsp;exchange&nbsp;connectivity,&nbsp;24/7&nbsp;availability,&nbsp;and&nbsp;secure&nbsp;handling&nbsp;of&nbsp;sensitive&nbsp;credentials/secrets.</p></li><li><p>Strong&nbsp;troubleshooting,&nbsp;documentation,&nbsp;and&nbsp;communication&nbsp;skills.</p></li></ul><p>Preferred&nbsp;Qualifications</p><ul><li><p>AWS&nbsp;certification&nbsp;such&nbsp;as&nbsp;<strong>AWS&nbsp;Solutions&nbsp;Architect,&nbsp;SysOps&nbsp;Administrator,&nbsp;or&nbsp;DevOps&nbsp;Engineer</strong>.</p></li><li><p>Experience&nbsp;supporting&nbsp;<strong>high-load,&nbsp;high-traffic,&nbsp;real-time&nbsp;production&nbsp;systems</strong>.</p></li><li><p>Experience&nbsp;in&nbsp;<strong>crypto&nbsp;exchanges,&nbsp;trading&nbsp;platforms,&nbsp;fintech,&nbsp;or&nbsp;other&nbsp;low-latency&nbsp;environments</strong>.</p></li><li><p>Experience&nbsp;with&nbsp;<strong>low-latency&nbsp;networking,&nbsp;performance&nbsp;tuning,&nbsp;or&nbsp;exchange-proximity&nbsp;infrastructure</strong>.</p></li><li><p>Production&nbsp;experience&nbsp;with&nbsp;<strong>Kubernetes</strong>,&nbsp;service&nbsp;mesh,&nbsp;or&nbsp;advanced&nbsp;orchestration.</p></li><li><p>Exposure&nbsp;to&nbsp;<strong>Azure&nbsp;or&nbsp;multi-cloud&nbsp;environments</strong>.</p></li><li><p>Experience&nbsp;with&nbsp;<strong>AWS&nbsp;Secrets&nbsp;Manager,&nbsp;HashiCorp&nbsp;Vault</strong>,&nbsp;or&nbsp;similar&nbsp;secrets-management&nbsp;platforms.</p></li><li><p>Experience&nbsp;working&nbsp;in&nbsp;<strong>24/7&nbsp;on-call&nbsp;and&nbsp;incident</strong></p></li></ul></li></ul><br><br>

Senior Machine Learning & Data Scientist<br>Position: Senior Machine Learning & Data Scientist <br>Type: Hourly Contract (Part-Time)<br>Compensation: $120–$170/hour<br>Location: Remote<br>About the Opportunity This opportunity is for experienced Senior Machine Learning & Data Scientists interested in contributing to advanced AI research and evaluation projects focused on improving the accuracy, reasoning, and analytical capabilities of next-generation AI systems. The role involves evaluating AI-generated machine learning models, data science solutions, statistical analyses, and predictive approaches. You'll apply your expertise across machine learning, data science, statistical modeling, and advanced analytics to assess AI outputs and provide technical feedback that improves model performance. No prior AI experience is required. Your machine learning and data science expertise are the primary qualifications for success in this role. Responsibilities Evaluate AI-generated machine learning models, data analyses, and statistical solutions for accuracy and technical quality. Solve complex machine learning, statistical modeling, predictive analytics, and data science problems. Review AI-generated approaches involving data preprocessing, feature engineering, model development, training, validation, and evaluation. Analyze large datasets, predictive models, algorithms, and statistical methodologies to identify errors and inconsistencies. Evaluate model performance, experimentation results, and analytical methodologies using appropriate statistical and machine learning techniques. Compare multiple AI-generated solutions and assess their technical strengths, weaknesses, and reasoning quality. Provide structured technical feedback to improve AI accuracy, machine learning reasoning, and analytical capabilities. Collaborate with technical reviewers and interdisciplinary teams to maintain consistent evaluation standards and data quality. Required Qualifications3+ years of professional experience in Machine Learning, Data Science, or a related quantitative field. Strong expertise in machine learning, statistical analysis, predictive modeling, and data analytics. Proficiency in Python and SQL, with experience using modern data science and machine learning libraries. Strong understanding of machine learning algorithms, probability, statistics, model evaluation, and experimental design. Experience developing, evaluating, or deploying machine learning models and data science solutions. Ability to assess AI-generated technical solutions and identify methodological issues, errors, and edge cases. Excellent analytical, problem-solving, and written communication skills. Preferred Qualifications Experience with PyTorch, Tensor Flow, scikit-learn, XGBoost, or similar machine learning frameworks. Experience working with LLMs, generative AI, AI agents, or AI model evaluation. Experience with deep learning, natural language processing, computer vision, or recommender systems. Familiarity with MLOps, cloud platforms, distributed computing, Docker, or production machine learning systems. Experience with A/B testing, causal inference, time-series analysis, experimentation, or advanced statistical methods. Prior experience with AI evaluation, technical review, data annotation, or model quality assessment projects. Compensation Competitive compensation of $120–$170/hour. Weekly payments. Independent contractor engagement. Application Process Easy Apply on Linked InCheck Email for Next Steps Participate in Resume Evaluation & Interview Stage

Senior Machine Learning & Data Scientist<br>Position: Senior Machine Learning & Data Scientist <br>Type: Hourly Contract (Part-Time)<br>Compensation: $120–$170/hour<br>Location: Remote<br>About the Opportunity This opportunity is for experienced Senior Machine Learning & Data Scientists interested in contributing to advanced AI research and evaluation projects focused on improving the accuracy, reasoning, and analytical capabilities of next-generation AI systems. The role involves evaluating AI-generated machine learning models, data science solutions, statistical analyses, and predictive approaches. You'll apply your expertise across machine learning, data science, statistical modeling, and advanced analytics to assess AI outputs and provide technical feedback that improves model performance. No prior AI experience is required. Your machine learning and data science expertise are the primary qualifications for success in this role. Responsibilities Evaluate AI-generated machine learning models, data analyses, and statistical solutions for accuracy and technical quality. Solve complex machine learning, statistical modeling, predictive analytics, and data science problems. Review AI-generated approaches involving data preprocessing, feature engineering, model development, training, validation, and evaluation. Analyze large datasets, predictive models, algorithms, and statistical methodologies to identify errors and inconsistencies. Evaluate model performance, experimentation results, and analytical methodologies using appropriate statistical and machine learning techniques. Compare multiple AI-generated solutions and assess their technical strengths, weaknesses, and reasoning quality. Provide structured technical feedback to improve AI accuracy, machine learning reasoning, and analytical capabilities. Collaborate with technical reviewers and interdisciplinary teams to maintain consistent evaluation standards and data quality. Required Qualifications3+ years of professional experience in Machine Learning, Data Science, or a related quantitative field. Strong expertise in machine learning, statistical analysis, predictive modeling, and data analytics. Proficiency in Python and SQL, with experience using modern data science and machine learning libraries. Strong understanding of machine learning algorithms, probability, statistics, model evaluation, and experimental design. Experience developing, evaluating, or deploying machine learning models and data science solutions. Ability to assess AI-generated technical solutions and identify methodological issues, errors, and edge cases. Excellent analytical, problem-solving, and written communication skills. Preferred Qualifications Experience with PyTorch, Tensor Flow, scikit-learn, XGBoost, or similar machine learning frameworks. Experience working with LLMs, generative AI, AI agents, or AI model evaluation. Experience with deep learning, natural language processing, computer vision, or recommender systems. Familiarity with MLOps, cloud platforms, distributed computing, Docker, or production machine learning systems. Experience with A/B testing, causal inference, time-series analysis, experimentation, or advanced statistical methods. Prior experience with AI evaluation, technical review, data annotation, or model quality assessment projects. Compensation Competitive compensation of $120–$170/hour. Weekly payments. Independent contractor engagement. Application Process Easy Apply on Linked InCheck Email for Next Steps Participate in Resume Evaluation & Interview Stage

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.<br><br>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.<br><br>Job Description<br><br>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.<br><br>The role will work closely with Commercial, Marketing, Operations, Product, and other teams to evaluate performance, identify opportunities, and support data-driven decisions.<br><br>Strong hands-on SQL skills are essential, along with an interest in using AI to make analytics faster and more scalable.<br><br>Analyse business performance across growth, customer behaviour, revenue, profitability, marketing, and operations. Independently write and optimise SQL queries to extract and analyse large datasets. Conduct deep dives to identify trends, performance gaps, growth opportunities, and key business drivers. Analyse customer behaviour across acquisition, retention, churn, frequency, cohorts, and segmentation. Support business cases, forecasting, scenario modelling, and impact estimation for new initiatives. Build dashboards and recurring reports using BI and visualisation tools. Partner with cross-functional teams to define KPIs and provide clear, commercially relevant recommendations. Ensure accuracy and reliability of analytical outputs.<br><br>AI in Analytics<br><br>The candidate should actively use AI as part of the analytics workflow, including:Accelerating SQL development, debugging, and analysis. Structuring analytical approaches and generating hypotheses. Automating repetitive reporting and analytical tasks. Improving insight generation, documentation, and stakeholder communication.<br><br>AI should enhance analytical thinking, not replace it.<br><br>Qualifications<br><br>3-5 years of experience in Business Analytics, Data Analytics, Strategy Analytics, Growth Analytics, or a related field. Strong hands-on SQL skills. Strong Excel / Google Sheets skills. Experience with BI tools such as Tableau, Power BI, Looker, Metabase, or similar. Strong analytical, problem-solving, and structured thinking skills. Ability to translate data into clear business recommendations. Comfortable working with multiple stakeholders in a fast-paced environment. Practical exposure to generative AI tools in analytical workflows.<br><br>Nice to Have<br><br>Experience in e-commerce, marketplaces, quick commerce, retail, fintech, or consumer technology. Exposure to Python. Understanding of A/B testing and experimentation. Experience with customer lifecycle, marketing, pricing, retention, churn, or unit economics.

Role: Snowflake Data Engineer with Apache Airflow & DBT experience Experience: 10+ Years Location: Dubai (Hybrid/Onsite as per business requirement)<br>About the Role:We are seeking a highly skilled Snowflake Data Engineer with 10+ years of experience in designing, developing, and optimizing modern cloud-based data platforms. The ideal candidate should have strong hands-on expertise in Snowflake, advanced SQL, and cloud data engineering practices, with mandatory experience in Apache Airflow and dbt (Data Build Tool). The role involves building scalable data pipelines, implementing ELT frameworks, optimizing data models, and supporting enterprise analytics initiatives.<br>Key Responsibilities:Design, develop, and maintain scalable data pipelines using Snowflake. Build and optimize ELT workflows using dbt. Develop and orchestrate data pipelines using Apache Airflow. Design and implement efficient data models to support analytical and business reporting requirements. Perform data ingestion from multiple structured and semi-structured data sources. Optimize Snowflake performance through query tuning, clustering, partitioning, and warehouse optimization. Develop reusable, scalable, and maintainable SQL transformations. Implement data quality checks, validation, and monitoring processes. Collaborate with Data Architects, Business Analysts, BI Developers, and cross-functional teams to deliver robust data solutions. Troubleshoot production issues and ensure high availability of data pipelines. Follow best practices for version control, CI/CD, testing, and documentation.<br>Required Skills:10+ years of experience in Data Engineering. Strong hands-on experience with Snowflake. Advanced SQL programming and query optimization. Mandatory experience with Apache Airflow. Mandatory experience with dbt (Data Build Tool). Strong understanding of ETL/ELT concepts and modern data engineering practices. Experience building and maintaining enterprise-scale data pipelines. Proficiency in Python for data engineering and automation. Experience working with Git and version control. Good understanding of data modeling techniques (Star Schema, Snowflake Schema, Dimensional Modeling). Experience working with structured and semi-structured data formats such as JSON, Parquet, and Avro. Strong analytical, debugging, and problem-solving skills.<br>Preferred Skills:Experience with Azure, AWS, or Google Cloud Platform. Exposure to data lake and lakehouse architectures. Experience with Azure Data Factory, Fivetran, Informatica, or similar integration tools. Knowledge of CI/CD pipelines and Dev Ops practices. Familiarity with Power BI, Tableau, or other BI platforms. Understanding of data governance, security, and access management within Snowflake. Snowflake certification is an added advantage.<br>Key Competencies:Snowflake Apache Airflowdbt SQLPython Data Engineering ETL/ELTData Modeling Performance Optimization Cloud Data Platforms Git CI/CDProblem Solving Team Collaboration Educational Qualification:Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.<br>Good to Have:Experience in Agile/Scrum environments. Strong communication and stakeholder management skills. Experience working on enterprise-scale data modernization or cloud migration projects.

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.<br><br>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.<br><br>Job Description<br><br>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.<br><br>The role will work closely with Commercial, Marketing, Operations, Product, and other teams to evaluate performance, identify opportunities, and support data-driven decisions.<br><br>Strong hands-on SQL skills are essential, along with an interest in using AI to make analytics faster and more scalable.<br><br>Analyse business performance across growth, customer behaviour, revenue, profitability, marketing, and operations. Independently write and optimise SQL queries to extract and analyse large datasets. Conduct deep dives to identify trends, performance gaps, growth opportunities, and key business drivers. Analyse customer behaviour across acquisition, retention, churn, frequency, cohorts, and segmentation. Support business cases, forecasting, scenario modelling, and impact estimation for new initiatives. Build dashboards and recurring reports using BI and visualisation tools. Partner with cross-functional teams to define KPIs and provide clear, commercially relevant recommendations. Ensure accuracy and reliability of analytical outputs.<br><br>AI in Analytics<br><br>The candidate should actively use AI as part of the analytics workflow, including:Accelerating SQL development, debugging, and analysis. Structuring analytical approaches and generating hypotheses. Automating repetitive reporting and analytical tasks. Improving insight generation, documentation, and stakeholder communication.<br><br>AI should enhance analytical thinking, not replace it.<br><br>Qualifications<br><br>3-5 years of experience in Business Analytics, Data Analytics, Strategy Analytics, Growth Analytics, or a related field. Strong hands-on SQL skills. Strong Excel / Google Sheets skills. Experience with BI tools such as Tableau, Power BI, Looker, Metabase, or similar. Strong analytical, problem-solving, and structured thinking skills. Ability to translate data into clear business recommendations. Comfortable working with multiple stakeholders in a fast-paced environment. Practical exposure to generative AI tools in analytical workflows.<br><br>Nice to Have<br><br>Experience in e-commerce, marketplaces, quick commerce, retail, fintech, or consumer technology. Exposure to Python. Understanding of A/B testing and experimentation. Experience with customer lifecycle, marketing, pricing, retention, churn, or unit economics.

Role: Snowflake Data Engineer with Apache Airflow & DBT experience Experience: 10+ Years Location: Dubai (Hybrid/Onsite as per business requirement)<br>About the Role:We are seeking a highly skilled Snowflake Data Engineer with 10+ years of experience in designing, developing, and optimizing modern cloud-based data platforms. The ideal candidate should have strong hands-on expertise in Snowflake, advanced SQL, and cloud data engineering practices, with mandatory experience in Apache Airflow and dbt (Data Build Tool). The role involves building scalable data pipelines, implementing ELT frameworks, optimizing data models, and supporting enterprise analytics initiatives.<br>Key Responsibilities:Design, develop, and maintain scalable data pipelines using Snowflake. Build and optimize ELT workflows using dbt. Develop and orchestrate data pipelines using Apache Airflow. Design and implement efficient data models to support analytical and business reporting requirements. Perform data ingestion from multiple structured and semi-structured data sources. Optimize Snowflake performance through query tuning, clustering, partitioning, and warehouse optimization. Develop reusable, scalable, and maintainable SQL transformations. Implement data quality checks, validation, and monitoring processes. Collaborate with Data Architects, Business Analysts, BI Developers, and cross-functional teams to deliver robust data solutions. Troubleshoot production issues and ensure high availability of data pipelines. Follow best practices for version control, CI/CD, testing, and documentation.<br>Required Skills:10+ years of experience in Data Engineering. Strong hands-on experience with Snowflake. Advanced SQL programming and query optimization. Mandatory experience with Apache Airflow. Mandatory experience with dbt (Data Build Tool). Strong understanding of ETL/ELT concepts and modern data engineering practices. Experience building and maintaining enterprise-scale data pipelines. Proficiency in Python for data engineering and automation. Experience working with Git and version control. Good understanding of data modeling techniques (Star Schema, Snowflake Schema, Dimensional Modeling). Experience working with structured and semi-structured data formats such as JSON, Parquet, and Avro. Strong analytical, debugging, and problem-solving skills.<br>Preferred Skills:Experience with Azure, AWS, or Google Cloud Platform. Exposure to data lake and lakehouse architectures. Experience with Azure Data Factory, Fivetran, Informatica, or similar integration tools. Knowledge of CI/CD pipelines and Dev Ops practices. Familiarity with Power BI, Tableau, or other BI platforms. Understanding of data governance, security, and access management within Snowflake. Snowflake certification is an added advantage.<br>Key Competencies:Snowflake Apache Airflowdbt SQLPython Data Engineering ETL/ELTData Modeling Performance Optimization Cloud Data Platforms Git CI/CDProblem Solving Team Collaboration Educational Qualification:Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.<br>Good to Have:Experience in Agile/Scrum environments. Strong communication and stakeholder management skills. Experience working on enterprise-scale data modernization or cloud migration projects.

About the Role ZTE is seeking an experienced Wireless Network Optimization Manager to join our international engineering team based in Dubai, UAE. This position will serve as the primary wireless optimization interface between ZTE and Airtel Group Headquarters, supporting network performance management across multiple African operating companies. The successful candidate will work closely with Airtel Group senior management and regional project teams to drive network quality improvement, coordinate cross-country optimization activities, and deliver technical value to one of Africa's leading telecommunications operators. Key Responsibilities Serve as the primary wireless optimization interface to Airtel Group Headquarters, working directly with the Group Wireless GM and technical management team. Monitor and analyze wireless network performance across Nigeria, Gabon, Uganda, and Rwanda, including KPI trends, network quality, optimization progress, and root cause analysis. Prepare and present Monthly Optimization Reports, Special Optimization Reports, Acceptance Reports, and executive-level technical presentations. Coordinate cross-functional teams, including country project teams, product experts, and technical support engineers, to resolve complex network issues and improve overall network performance. Provide short-term onsite support to African operating companies based on project requirements, including cluster optimization, network-wide optimization, and major event assurance. Define optimization responsibilities, establish RACI matrices, and monitor project execution to ensure KPI achievement and timely issue closure. Deliver customer training and knowledge transfer programs to strengthen Airtel's network optimization capabilities. Participate in executive-level technical discussions and provide recommendations on network evolution, performance improvement, and business value enhancement. Required Qualifications Bachelor's degree or above in Telecommunications, Electronic Engineering, Computer Science, or a related field. Minimum 8 years of hands-on wireless network optimization experience covering 2G, 3G, 4G, and 5G technologies. Experience leading or playing a key role in at least three large-scale international wireless optimization projects involving more than 500 sites. Strong knowledge of 3GPP standards, radio parameter optimization, interference analysis, DT/CQT testing, KPI monitoring, and end-to-end optimization processes. Hands-on experience with wireless optimization platforms from leading vendors such as ZTE, Huawei, Ericsson, or Nokia. Proficiency with drive test and optimization tools including TEMS, NEMO, Actix, or equivalent. Experience with Python and SQL scripting for network automation and data analysis is an advantage. Excellent English communication skills with the ability to prepare technical documentation and deliver presentations to senior customer management. Preferred Qualifications Previous experience supporting Airtel or other Tier-1 telecom operators. Experience in Africa and/or Middle East wireless network optimization projects. PMP, CCNP Wireless, or advanced wireless optimization certifications from ZTE, Huawei, Ericsson, or Nokia. French language proficiency is a plus, especially for supporting French-speaking markets such as Gabon.

About the Role ZTE is seeking an experienced Wireless Network Optimization Manager to join our international engineering team based in Dubai, UAE. This position will serve as the primary wireless optimization interface between ZTE and Airtel Group Headquarters, supporting network performance management across multiple African operating companies. The successful candidate will work closely with Airtel Group senior management and regional project teams to drive network quality improvement, coordinate cross-country optimization activities, and deliver technical value to one of Africa's leading telecommunications operators. Key Responsibilities Serve as the primary wireless optimization interface to Airtel Group Headquarters, working directly with the Group Wireless GM and technical management team. Monitor and analyze wireless network performance across Nigeria, Gabon, Uganda, and Rwanda, including KPI trends, network quality, optimization progress, and root cause analysis. Prepare and present Monthly Optimization Reports, Special Optimization Reports, Acceptance Reports, and executive-level technical presentations. Coordinate cross-functional teams, including country project teams, product experts, and technical support engineers, to resolve complex network issues and improve overall network performance. Provide short-term onsite support to African operating companies based on project requirements, including cluster optimization, network-wide optimization, and major event assurance. Define optimization responsibilities, establish RACI matrices, and monitor project execution to ensure KPI achievement and timely issue closure. Deliver customer training and knowledge transfer programs to strengthen Airtel's network optimization capabilities. Participate in executive-level technical discussions and provide recommendations on network evolution, performance improvement, and business value enhancement. Required Qualifications Bachelor's degree or above in Telecommunications, Electronic Engineering, Computer Science, or a related field. Minimum 8 years of hands-on wireless network optimization experience covering 2G, 3G, 4G, and 5G technologies. Experience leading or playing a key role in at least three large-scale international wireless optimization projects involving more than 500 sites. Strong knowledge of 3GPP standards, radio parameter optimization, interference analysis, DT/CQT testing, KPI monitoring, and end-to-end optimization processes. Hands-on experience with wireless optimization platforms from leading vendors such as ZTE, Huawei, Ericsson, or Nokia. Proficiency with drive test and optimization tools including TEMS, NEMO, Actix, or equivalent. Experience with Python and SQL scripting for network automation and data analysis is an advantage. Excellent English communication skills with the ability to prepare technical documentation and deliver presentations to senior customer management. Preferred Qualifications Previous experience supporting Airtel or other Tier-1 telecom operators. Experience in Africa and/or Middle East wireless network optimization projects. PMP, CCNP Wireless, or advanced wireless optimization certifications from ZTE, Huawei, Ericsson, or Nokia. French language proficiency is a plus, especially for supporting French-speaking markets such as Gabon.

Dev Ops Engineer<br><br>Who We Are!<br><br>Back in 2019, spider Silk was born with a bold idea: build regional, sovereign cybersecurity IP that could stand tall on the global stage.<br><br>Our mission? To shake up the way organizations protect their ever-changing digital worlds with continuous, intelligent, and autonomous security that doesn’t miss a beat.<br><br>We’re a global mix of curious minds, problem-solvers, and passionate builders, all united by one goal: making the internet a safer place for everyone. Around here, we thrive on vision, energy, and a strong sense of ownership.<br><br>If this feels like your kind of crew, you’ll probably fit right in.<br><br>About The Role<br><br>As a Dev Ops Engineer at spider Silk, you will play a pivotal role in optimizing our development and deployment pipelines, ensuring high availability, security, and scalability of the infrastructure powering our cutting-edge cybersecurity products. You’ll work at the intersection of engineering and operations, driving automation, resilience, and efficiency across our systems while fostering a culture of continuous improvement.<br><br>Responsibilities<br><br>Design, build, and maintain robust CI/CD pipelines and cloud infrastructure to accelerate software delivery. Monitor system performance, troubleshoot issues, and proactively respond to incidents to minimize downtime. Collaborate closely with software engineers to enable rapid, secure, and reliable releases. Automate deployment, testing, and scaling processes to enhance operational efficiency. Implement Infrastructure as Code (IaC) and cloud security best practices to ensure compliance and reduce risk. Optimize system reliability and performance through proactive capacity planning and tuning. Champion Dev Ops best practices, including observability, disaster recovery, and cost optimization. Stay ahead of emerging technologies and evaluate new tools to improve our tech stack.<br><br>Requirements<br><br>7+ years of hands-on experience in Dev Ops, SRE, or Cloud Engineering, preferably in fast-paced environments. Strong expertise with tools like Kubernetes, Docker, Ansible, Terraform, and CI/CD platforms (e.g., Jenkins, Git Lab CI, Git Hub Actions). Proven experience in scaling applications and databases (SQL & NoSQL) for high-traffic workloads. Familiarity with AI/ML tools that enhance operations and development (e.g., AI-driven monitoring, automated anomaly detection). Deep proficiency in cloud platforms (AWS, Azure, GCP, or Oracle Cloud) and hybrid/multi-cloud architectures. Strong scripting/programming skills in Python, Bash, or Go for automation and tooling. Solid understanding of networking, Linux systems, and security principles (e.g., zero-trust, IAM, secrets management). A startup mindset—self-driven, adaptable, and passionate about building impactful products in a collaborative environment.<br><br>Nice To Have<br><br>Experience with cybersecurity tools and compliance frameworks (e.g., SOC2, ISO 27001). Knowledge of observability stacks (Prometheus, Grafana, ELK, Open Telemetry). Contributions to open-source projects or a strong technical blog/portfolio.

About Us:<br><br>Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.<br><br>DV Commodities is a division within DV Group that specializes in trading commodities markets, including crude oil, refined products, natural gas, power, emissions, metals, softs, and agriculture. DV Commodities risk management, world-class technology, and talented traders have enabled it to become one of the world's largest liquidity providers and risk allocators in the energy and commodities spaces. Learn more here.<br><br>Responsibilities:<br><br>Primary owner of P&L in one or multiple areas of energy business Build and maintain fundamental and quantitative trading models Work with risk to ensure compliance with agreed upon risk management metrics and sizing Liase side by side with senior energy traders to share best practices / learnings where applicable Learn proprietary methodologies and trading systems that support an established trading business Grow existing trades and P&L while identifying and pursue new opportunities Further responsibilities may be driven by the individual's interests and specific skills<br><br>Requirements:<br><br>Energy trading experience required Self-starter with entrepreneurial spirit Able to learn quickly in a fast paced, high pressure environment Targeted ISO experience and knowledge of fundamental grid Detail oriented, organized, diligent Maintain composure and communicate clearly when under pressure Ability to succeed working as part of a diversified team Strong understanding of math, probability, and statistics High level of proficiency in Excel and VBA; SQL, python, statistical modeling, other programming a plus Advanced aptitude for problem solving and multitasking Proven track record with historical P&L preferred<br><br>DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

About Us:<br><br>Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.<br><br>DV Commodities is a division within DV Group that specializes in trading commodities markets, including crude oil, refined products, natural gas, power, emissions, metals, softs, and agriculture. DV Commodities risk management, world-class technology, and talented traders have enabled it to become one of the world's largest liquidity providers and risk allocators in the energy and commodities spaces. Learn more here.<br><br>Responsibilities:<br><br>Primary owner of P&L in one or multiple areas of energy business Build and maintain fundamental and quantitative trading models Work with risk to ensure compliance with agreed upon risk management metrics and sizing Liase side by side with senior energy traders to share best practices / learnings where applicable Learn proprietary methodologies and trading systems that support an established trading business Grow existing trades and P&L while identifying and pursue new opportunities Further responsibilities may be driven by the individual's interests and specific skills<br><br>Requirements:<br><br>Energy trading experience required Self-starter with entrepreneurial spirit Able to learn quickly in a fast paced, high pressure environment Targeted ISO experience and knowledge of fundamental grid Detail oriented, organized, diligent Maintain composure and communicate clearly when under pressure Ability to succeed working as part of a diversified team Strong understanding of math, probability, and statistics High level of proficiency in Excel and VBA; SQL, python, statistical modeling, other programming a plus Advanced aptitude for problem solving and multitasking Proven track record with historical P&L preferred<br><br>DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.