Python Developer Jobs in UAE

We are looking for a highly skilled Senior Dev Ops Engineer to join our Technology Engineering team and support enterprise-scale platform engineering initiatives within a highly regulated environment.<br><br>The ideal candidate should have strong expertise in CI/CD automation, Infrastructure as Code (IaC), container platforms, Kubernetes/Open Shift, Dev Ops tooling, and production support. This role requires hands-on engineering experience in designing, implementing, and managing modern Dev Ops platforms while collaborating closely with development, infrastructure, security, and platform engineering teams.<br><br>You will play a key role in building and maintaining scalable deployment pipelines, automating infrastructure provisioning, improving platform reliability, and driving engineering excellence across enterprise applications.<br><br>Requirements<br><br>Key Responsibilities<br><br>Design, develop, implement, and maintain enterprise-grade CI/CD pipelines for microservices and cloud-native applications Build and manage automated deployment pipelines using Jenkins, Git Hub Actions, Argo CD, and Helm Develop and maintain Infrastructure as Code (IaC) using Terraform, Ansible, and automation frameworks Automate application deployment, infrastructure provisioning, configuration management, and operational workflows Manage containerized applications using Docker, Kubernetes, Open Shift, and Podman Support platform onboarding by enabling application teams through automation and self-service capabilities Collaborate with Development, Infrastructure, Security, Platform Engineering, and Product teams to deliver scalable platform solutions Integrate Dev Sec Ops tools into CI/CD pipelines, ensuring security, compliance, and governance throughout the software delivery lifecycle Implement automated security scans, regulatory checks, vulnerability management, and patch automation Develop automation scripts using Groovy, Python, and Shell scripting Troubleshoot complex production issues, perform root cause analysis, and provide operational support within a Dev Ops/SRE environment Monitor platform health, system performance, and application reliability using enterprise monitoring solutions Implement logging, monitoring, alerting, and observability solutions across enterprise platforms Participate in Agile ceremonies including sprint planning, backlog refinement, stand-ups, and retrospectives Contribute to engineering best practices, platform standardization, automation strategies, and continuous improvement initiatives Work within production support rotations and ensure high availability of critical enterprise platforms<br><br>Required Technical Skills<br><br>Dev Ops & CI/CD<br><br>Strong hands-on experience with CI/CD pipeline development and automation Jenkins Git Hub Actions Argo CDHelm Git Ops methodology Shared Libraries Pipeline as Code<br><br>Container & Platform Technologies<br><br>Docker Kubernetes Open Shift Podman Container orchestration Microservices architecture<br><br>Infrastructure as Code (IaC)<br><br>Terraform Ansible Infrastructure automation Configuration management<br><br>Scripting & Programming<br><br>Python Groovy Linux Shell Scripting (Bash) API integration and automation<br><br>Source Control<br><br>Git Git Hub<br><br>Dev Sec Ops & Security<br><br>Experience integrating security tools into CI/CD pipelines, including:<br><br>Sonar Qube Checkmarx Sysdig Nexus Repository Nexus IQCosign Automated security validation Compliance automation Vulnerability scanning<br><br>Monitoring & Observability<br><br>ELK Stack Prometheus Grafana Logging Monitoring Alerting Performance analysis<br><br>Operating Systems<br><br>Linux Windows Shell scripting System administration<br><br>Cloud Platforms<br><br>Hands-on experience with one or more public cloud providers:<br><br>Microsoft Azure AWSOracle Cloud Infrastructure (OCI)<br><br>Experience with:<br><br>Compute Storage Networking Cloud platform services<br><br>Required Technical Knowledge<br><br>Dev Ops methodologies Site Reliability Engineering (SRE) Infrastructure as Code (IaC) Twelve-Factor Application principles CI/CD best practices Cloud-native application architecture Microservices deployment REST API integrations Production support Incident management Root cause analysis High-availability platform engineering<br><br>Networking & Security<br><br>Good understanding of:<br><br>Network fundamentals Security engineering principles Authentication & Authorization Secure software delivery Infrastructure security Enterprise compliance standards<br><br>Required Competencies<br><br>Strong troubleshooting and analytical skills Excellent communication and stakeholder management Ability to collaborate effectively with cross-functional engineering teams Strong ownership mindset with focus on automation and operational excellence Ability to work in Agile, Dev Ops, and product-oriented delivery environments Self-starter with strong initiative and problem-solving ability Calm under pressure with excellent incident management skills Passion for continuous learning and adopting modern technologies<br><br>Preferred Experience<br><br>Banking Financial Services Fin Tech Other highly regulated enterprise environments<br><br>Experience supporting:<br><br>Large-scale enterprise platforms High-availability systems Mission-critical applications Distributed environments Global engineering organizations<br><br>Nice to Have<br><br>Experience with Machine Learning (ML) or AI platform deployments Exposure to MLOps practices Experience building AI/ML deployment pipelines Public cloud certifications Kubernetes/Open Shift certifications Dev Ops or Cloud certifications

Bayut & dubizzle have the unique distinction of being iconic, homegrown brands with a strong presence across the seven emirates in the UAE. Connecting millions of users across the country, we are committed to delivering the best online search experience. As part of EMPG, we are alongside some of the strongest classifieds brands in the market. With a collective strength of 10 brands, we have more than 200 million monthly users that trust in our dedication to providing them with the best platform for their needs. At dubizzle you'd be part of high performing cross-functional "Squads" set with a mission to provide win-win exchanges for our beloved users. As a Senior Software Engineer (Backend) you will liaises with the other backend and frontend engineers within your product stream, the QA team, the design team and your Tech Team Leads. As a senior member of the team, you will be responsible for advancing our development stack and ensuring scale as we grow to millions of monthly active users across many countries.<br>In this role, you will: Hit the ground running - Gather up-to-date and in-depth understanding of the dubizzle code base and technologies stack within weeks; Lead planning sessions around new product features, deliver detailed roll-out/roll-back strategies for releases Research and apply industry trends as part of your daily work; Create unit tests in accordance with our established standards to cover assigned work; Write and maintain exemplary code following dubizzle's programming practices; Actively contribute in post-release maintenance issues; Develop elegant solutions for complex problems; Pioneer reliability and efficiency of our current code base, platforms and/or core systems; Impact on the direction and scope of dubizzle's technical vision within your stream; Work in a mentoring capacity within a peer-programming environment and provide guidance on tasks, irrespective of complexity or scale; Code review all major pull requests, defining programming standards and providing constructive feedback Design and delivery of multiple REST based APIs and previous exposure to Service Oriented Architecture; Capacity to push back requirements when incomplete; Handle the entire software development life cycle, end to end; Lead product planning meetings and architect solutions within your stream; Liaises with the other back end engineers within your product stream, the QA team, design team and your Tech Team Lead; Liaise with other tech teams to share innovations from your stream <br><br>Requirements<br><br> 8+ years of professional back-end software engineering experience in either Python or Java or C++ Experience with Cloud hosted infrastructure and Technologies; AWS preferred; Prior experience with Kubernetes & Docker will earn you brownie points; Experience working on high-traffic and large-scale web products is preferred; Experience with web infrastructure, SOA, distributed systems, performance analysis, search infrastructure; Been on at least one "death march" and know exactly why some things are to be avoided; Strong understanding of design patterns including asynchronous programming, queuing, logging, security and persistence; Mastery of different caching layers and strategies including memcached; Good understanding of build process management and continuous integration; Mastery of testing methodologies (unit tests, component tests, integration tests, etc.); Excellent communication & interpersonal skills; This is an absolute must, we have heated debates around complicated subjects and you will be expected to lead conversations around them <br><br>Benefits<br><br> A fast paced, high performing team Multicultural environment with over 50 different nationalities Competitive Tax-free Salary Comprehensive Health Insurance Annual Air Ticket Allowance Employee discounts at multiple vendors across the emirates Rewards & Recognitions Learning & Development #dubizzle

Role Description We are seeking an experienced and results-oriented Test Manager / Senior Test Automation Analyst to lead quality assurance initiatives, define testing strategies, and drive test automation excellence across software development projects. This role is responsible for managing end-to-end testing activities, developing automation frameworks, ensuring software quality, and collaborating with cross-functional teams to deliver reliable, secure, and high-performing applications. The ideal candidate is a strong leader with extensive experience in software testing, automation, Agile delivery, and continuous quality improvement. Key responsibilities include:Develop and implement comprehensive test strategies, test plans, and quality assurance frameworks aligned with business and technical requirements. Lead functional, integration, system, regression, performance, API, security, and user acceptance testing activities. Design, develop, maintain, and optimize automated test frameworks and reusable test scripts. Manage testing schedules, resource allocation, project priorities, and quality deliverables across multiple initiatives. Collaborate with developers, business analysts, product managers, Dev Ops engineers, and project stakeholders throughout the Software Development Life Cycle (SDLC). Review business requirements, technical specifications, and user stories to ensure complete test coverage. Monitor testing progress, defect trends, automation coverage, and quality metrics using key performance indicators (KPIs). Manage defect lifecycle activities, including defect reporting, prioritization, tracking, verification, and resolution. Support CI/CD pipelines by integrating automated testing into deployment and release processes. Conduct code reviews for automation scripts and promote testing standards, best practices, and continuous improvement. Mentor and coach QA engineers and automation testers while fostering a culture of quality and collaboration. Prepare quality reports, test summaries, release readiness assessments, and executive presentations. Identify testing risks, recommend mitigation strategies, and support continuous process improvement initiatives. Ensure compliance with organizational quality standards, security requirements, regulatory guidelines, and software engineering best practices. Evaluate emerging test automation technologies, AI-powered testing tools, and quality engineering methodologies. Drive continuous improvement initiatives that enhance testing efficiency, automation maturity, software reliability, and customer satisfaction. Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Technology, Information Systems, or a related field. Strong understanding of Software Development Life Cycle (SDLC), Software Testing Life Cycle (STLC), Agile methodologies, and quality assurance principles. Extensive knowledge of manual testing, test automation, API testing, performance testing, regression testing, integration testing, and system testing. Proficiency with automation tools such as Selenium, Playwright, Cypress, Appium, Robot Framework, or similar technologies. Experience with programming or scripting languages such as Java, Python, Java Script, C#, or Type Script for automation development. Familiarity with API testing tools such as Postman, REST Assured, or Soap UI. Knowledge of test management and defect tracking tools such as Jira, Azure Dev Ops, Test Rail, Zephyr, HP ALM, or similar platforms. Understanding of CI/CD pipelines and Dev Ops tools such as Jenkins, Git Hub Actions, Git Lab CI/CD, Bamboo, or Azure Dev Ops. Familiarity with SQL, relational databases, and data validation techniques. Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) is an advantage. Strong analytical, troubleshooting, and problem-solving skills. Excellent written, verbal, presentation, leadership, and stakeholder management abilities. Strong organizational and project management skills with the ability to manage multiple testing initiatives simultaneously. High attention to detail with a commitment to delivering secure, reliable, and high-quality software. Ability to work independently while collaborating effectively with cross-functional and Agile teams. Professional attitude with integrity, accountability, and a continuous improvement mindset dedicated to delivering high-quality software solutions and advancing quality engineering excellence.

We are looking for a highly skilled Senior Dev Ops Engineer to join our Technology Engineering team and support enterprise-scale platform engineering initiatives within a highly regulated environment.<br><br>The ideal candidate should have strong expertise in CI/CD automation, Infrastructure as Code (IaC), container platforms, Kubernetes/Open Shift, Dev Ops tooling, and production support. This role requires hands-on engineering experience in designing, implementing, and managing modern Dev Ops platforms while collaborating closely with development, infrastructure, security, and platform engineering teams.<br><br>You will play a key role in building and maintaining scalable deployment pipelines, automating infrastructure provisioning, improving platform reliability, and driving engineering excellence across enterprise applications.<br><br>Requirements<br><br>Key Responsibilities<br><br>Design, develop, implement, and maintain enterprise-grade CI/CD pipelines for microservices and cloud-native applications Build and manage automated deployment pipelines using Jenkins, Git Hub Actions, Argo CD, and Helm Develop and maintain Infrastructure as Code (IaC) using Terraform, Ansible, and automation frameworks Automate application deployment, infrastructure provisioning, configuration management, and operational workflows Manage containerized applications using Docker, Kubernetes, Open Shift, and Podman Support platform onboarding by enabling application teams through automation and self-service capabilities Collaborate with Development, Infrastructure, Security, Platform Engineering, and Product teams to deliver scalable platform solutions Integrate Dev Sec Ops tools into CI/CD pipelines, ensuring security, compliance, and governance throughout the software delivery lifecycle Implement automated security scans, regulatory checks, vulnerability management, and patch automation Develop automation scripts using Groovy, Python, and Shell scripting Troubleshoot complex production issues, perform root cause analysis, and provide operational support within a Dev Ops/SRE environment Monitor platform health, system performance, and application reliability using enterprise monitoring solutions Implement logging, monitoring, alerting, and observability solutions across enterprise platforms Participate in Agile ceremonies including sprint planning, backlog refinement, stand-ups, and retrospectives Contribute to engineering best practices, platform standardization, automation strategies, and continuous improvement initiatives Work within production support rotations and ensure high availability of critical enterprise platforms<br><br>Required Technical Skills<br><br>Dev Ops & CI/CD<br><br>Strong hands-on experience with CI/CD pipeline development and automation Jenkins Git Hub Actions Argo CDHelm Git Ops methodology Shared Libraries Pipeline as Code<br><br>Container & Platform Technologies<br><br>Docker Kubernetes Open Shift Podman Container orchestration Microservices architecture<br><br>Infrastructure as Code (IaC)<br><br>Terraform Ansible Infrastructure automation Configuration management<br><br>Scripting & Programming<br><br>Python Groovy Linux Shell Scripting (Bash) API integration and automation<br><br>Source Control<br><br>Git Git Hub<br><br>Dev Sec Ops & Security<br><br>Experience integrating security tools into CI/CD pipelines, including:<br><br>Sonar Qube Checkmarx Sysdig Nexus Repository Nexus IQCosign Automated security validation Compliance automation Vulnerability scanning<br><br>Monitoring & Observability<br><br>ELK Stack Prometheus Grafana Logging Monitoring Alerting Performance analysis<br><br>Operating Systems<br><br>Linux Windows Shell scripting System administration<br><br>Cloud Platforms<br><br>Hands-on experience with one or more public cloud providers:<br><br>Microsoft Azure AWSOracle Cloud Infrastructure (OCI)<br><br>Experience with:<br><br>Compute Storage Networking Cloud platform services<br><br>Required Technical Knowledge<br><br>Dev Ops methodologies Site Reliability Engineering (SRE) Infrastructure as Code (IaC) Twelve-Factor Application principles CI/CD best practices Cloud-native application architecture Microservices deployment REST API integrations Production support Incident management Root cause analysis High-availability platform engineering<br><br>Networking & Security<br><br>Good understanding of:<br><br>Network fundamentals Security engineering principles Authentication & Authorization Secure software delivery Infrastructure security Enterprise compliance standards<br><br>Required Competencies<br><br>Strong troubleshooting and analytical skills Excellent communication and stakeholder management Ability to collaborate effectively with cross-functional engineering teams Strong ownership mindset with focus on automation and operational excellence Ability to work in Agile, Dev Ops, and product-oriented delivery environments Self-starter with strong initiative and problem-solving ability Calm under pressure with excellent incident management skills Passion for continuous learning and adopting modern technologies<br><br>Preferred Experience<br><br>Banking Financial Services Fin Tech Other highly regulated enterprise environments<br><br>Experience supporting:<br><br>Large-scale enterprise platforms High-availability systems Mission-critical applications Distributed environments Global engineering organizations<br><br>Nice to Have<br><br>Experience with Machine Learning (ML) or AI platform deployments Exposure to MLOps practices Experience building AI/ML deployment pipelines Public cloud certifications Kubernetes/Open Shift certifications Dev Ops or Cloud certifications

Bayut & dubizzle have the unique distinction of being iconic, homegrown brands with a strong presence across the seven emirates in the UAE. Connecting millions of users across the country, we are committed to delivering the best online search experience. As part of EMPG, we are alongside some of the strongest classifieds brands in the market. With a collective strength of 10 brands, we have more than 200 million monthly users that trust in our dedication to providing them with the best platform for their needs. At dubizzle you'd be part of high performing cross-functional "Squads" set with a mission to provide win-win exchanges for our beloved users. As a Senior Software Engineer (Backend) you will liaises with the other backend and frontend engineers within your product stream, the QA team, the design team and your Tech Team Leads. As a senior member of the team, you will be responsible for advancing our development stack and ensuring scale as we grow to millions of monthly active users across many countries.<br>In this role, you will: Hit the ground running - Gather up-to-date and in-depth understanding of the dubizzle code base and technologies stack within weeks; Lead planning sessions around new product features, deliver detailed roll-out/roll-back strategies for releases Research and apply industry trends as part of your daily work; Create unit tests in accordance with our established standards to cover assigned work; Write and maintain exemplary code following dubizzle's programming practices; Actively contribute in post-release maintenance issues; Develop elegant solutions for complex problems; Pioneer reliability and efficiency of our current code base, platforms and/or core systems; Impact on the direction and scope of dubizzle's technical vision within your stream; Work in a mentoring capacity within a peer-programming environment and provide guidance on tasks, irrespective of complexity or scale; Code review all major pull requests, defining programming standards and providing constructive feedback Design and delivery of multiple REST based APIs and previous exposure to Service Oriented Architecture; Capacity to push back requirements when incomplete; Handle the entire software development life cycle, end to end; Lead product planning meetings and architect solutions within your stream; Liaises with the other back end engineers within your product stream, the QA team, design team and your Tech Team Lead; Liaise with other tech teams to share innovations from your stream <br><br>Requirements<br><br> 8+ years of professional back-end software engineering experience in either Python or Java or C++ Experience with Cloud hosted infrastructure and Technologies; AWS preferred; Prior experience with Kubernetes & Docker will earn you brownie points; Experience working on high-traffic and large-scale web products is preferred; Experience with web infrastructure, SOA, distributed systems, performance analysis, search infrastructure; Been on at least one "death march" and know exactly why some things are to be avoided; Strong understanding of design patterns including asynchronous programming, queuing, logging, security and persistence; Mastery of different caching layers and strategies including memcached; Good understanding of build process management and continuous integration; Mastery of testing methodologies (unit tests, component tests, integration tests, etc.); Excellent communication & interpersonal skills; This is an absolute must, we have heated debates around complicated subjects and you will be expected to lead conversations around them <br><br>Benefits<br><br> A fast paced, high performing team Multicultural environment with over 50 different nationalities Competitive Tax-free Salary Comprehensive Health Insurance Annual Air Ticket Allowance Employee discounts at multiple vendors across the emirates Rewards & Recognitions Learning & Development #dubizzle

Role Description We are seeking an experienced and results-oriented Test Manager / Senior Test Automation Analyst to lead quality assurance initiatives, define testing strategies, and drive test automation excellence across software development projects. This role is responsible for managing end-to-end testing activities, developing automation frameworks, ensuring software quality, and collaborating with cross-functional teams to deliver reliable, secure, and high-performing applications. The ideal candidate is a strong leader with extensive experience in software testing, automation, Agile delivery, and continuous quality improvement. Key responsibilities include:Develop and implement comprehensive test strategies, test plans, and quality assurance frameworks aligned with business and technical requirements. Lead functional, integration, system, regression, performance, API, security, and user acceptance testing activities. Design, develop, maintain, and optimize automated test frameworks and reusable test scripts. Manage testing schedules, resource allocation, project priorities, and quality deliverables across multiple initiatives. Collaborate with developers, business analysts, product managers, Dev Ops engineers, and project stakeholders throughout the Software Development Life Cycle (SDLC). Review business requirements, technical specifications, and user stories to ensure complete test coverage. Monitor testing progress, defect trends, automation coverage, and quality metrics using key performance indicators (KPIs). Manage defect lifecycle activities, including defect reporting, prioritization, tracking, verification, and resolution. Support CI/CD pipelines by integrating automated testing into deployment and release processes. Conduct code reviews for automation scripts and promote testing standards, best practices, and continuous improvement. Mentor and coach QA engineers and automation testers while fostering a culture of quality and collaboration. Prepare quality reports, test summaries, release readiness assessments, and executive presentations. Identify testing risks, recommend mitigation strategies, and support continuous process improvement initiatives. Ensure compliance with organizational quality standards, security requirements, regulatory guidelines, and software engineering best practices. Evaluate emerging test automation technologies, AI-powered testing tools, and quality engineering methodologies. Drive continuous improvement initiatives that enhance testing efficiency, automation maturity, software reliability, and customer satisfaction. Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Technology, Information Systems, or a related field. Strong understanding of Software Development Life Cycle (SDLC), Software Testing Life Cycle (STLC), Agile methodologies, and quality assurance principles. Extensive knowledge of manual testing, test automation, API testing, performance testing, regression testing, integration testing, and system testing. Proficiency with automation tools such as Selenium, Playwright, Cypress, Appium, Robot Framework, or similar technologies. Experience with programming or scripting languages such as Java, Python, Java Script, C#, or Type Script for automation development. Familiarity with API testing tools such as Postman, REST Assured, or Soap UI. Knowledge of test management and defect tracking tools such as Jira, Azure Dev Ops, Test Rail, Zephyr, HP ALM, or similar platforms. Understanding of CI/CD pipelines and Dev Ops tools such as Jenkins, Git Hub Actions, Git Lab CI/CD, Bamboo, or Azure Dev Ops. Familiarity with SQL, relational databases, and data validation techniques. Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) is an advantage. Strong analytical, troubleshooting, and problem-solving skills. Excellent written, verbal, presentation, leadership, and stakeholder management abilities. Strong organizational and project management skills with the ability to manage multiple testing initiatives simultaneously. High attention to detail with a commitment to delivering secure, reliable, and high-quality software. Ability to work independently while collaborating effectively with cross-functional and Agile teams. Professional attitude with integrity, accountability, and a continuous improvement mindset dedicated to delivering high-quality software solutions and advancing quality engineering excellence.

Who We Are<br><br>Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.<br><br>To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.<br><br>We Are BCG X<br><br>We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.<br><br>What You'll Do<br><br>Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.<br><br>As a Data Scientist and Senior Data Scientist, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.<br><br>Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative.<br><br>We Are Looking For Talented Individuals With a Passion For Data Science, Statistics, Operations Research And Transforming Organizations Into AI Led Innovative Companies. Successful Candidates Possess The Following<br><br>Comfortable in a client-facing role with the ambition to lead teams Likes to distill complex results or processes into simple, clear visualizations Explain sophisticated data science concepts in an understandable manner Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or Dev Ops experience) Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients Have strong project management skills <br><br>What You'll Bring<br><br>Technologies<br><br>Programming Languages: Python<br><br>#BCGXjob<br><br>Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.<br><br>BCG is an E - Verify Employer. Click here for more information on E-Verify.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> What you´ll do <ul> <li>Lead and execute sourcing projects across regional categories and countries, ensuring alignment with business priorities and stakeholder requirements.</li> <li>Drive the consistent adoption of digital sourcing tools, processes, and automation solutions to enhance efficiency and spend visibility.</li> <li>Ensure full compliance, documentation, traceability, and governance for all sourcing activities and sourcing events.</li> <li>Collaborate closely with regional category teams and suppliers to leverage category expertise, resolve challenges, and support sourcing strategies.</li> <li>Manage and support regional non-sourcing initiatives, including sustainability programs, corporate projects, and strategic procurement topics.</li> <li>&nbsp;Contribute to financial and business objectives by advancing digitalization, spend management, sourcing automation, and procurement excellence.</li> <li>&nbsp;Champion sustainability, diversity, equity, and inclusion by integrating responsible sourcing practices and actively supporting Henkel’s culture of inclusion and belonging.</li> </ul> <br><br> What makes you a good fit <ul> <li>&nbsp;Bachelor’s degree in Business Administration, Supply Chain, Procurement, Engineering, Finance, or a related field.</li> <li>3–4 years of relevant experience in Procurement, Strategic Sourcing, Supply Chain, or a related business function.</li> <li>Strong business acumen with a solid understanding of procurement processes, supplier management, and sourcing methodologies.</li> <li>Excellent communication and stakeholder management skills, with the ability to collaborate effectively across functions, regions, and organizational levels.</li> <li>Strong analytical, problem-solving, and project management skills, with the ability to manage multiple priorities in a fast-paced environment.</li> <li>Knowledge of contract management, cost management, risk management, and supplier relationship management principles.</li> <li>Digital mindset with proficiency in data analysis, procurement technologies, and automation tools; knowledge of SQL and Python is considered an advantage.</li> <li>&nbsp;Fluent in English; Arabic language skills are a strong plus.</li> </ul> <p>At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.</p><br> <br> </div>

Quantum Gate is dedicated to developing and commercializing cutting-edge post-quantum cryptographic solutions. Our mission is to safeguard enterprise digital environments through innovative protocols and applications that address the evolving challenges of the post-quantum era.<br><br>We are looking for a Senior Platform Engineer to join the QSphere engineering team at Quantum Gate and build the engineering platform that powers the entire software development lifecycle (SDLC).<br><br>You will design, build, and operate the cloud platform that enables development teams to develop, test, deploy, and operate software securely and reliably. From infrastructure as code and Kubernetes to CI/CD, Git Ops, observability, and security, you will help create a modern, scalable platform that allows engineers to ship software faster while maintaining high standards for reliability, security, and operational excellence.<br><br>This role combines Platform Engineering, Cloud Infrastructure, and Dev Ops practices, treating the engineering platform as a product with a strong focus on automation, self-service, and developer experience.<br><br>Key Responsibilities<br><br>Build and Operate the Engineering Platform<br><br>Design, implement, and maintain the cloud infrastructure supporting development, testing, staging, and production environments. Build and evolve Kubernetes-based platforms for scalable application deployment. Define and maintain Infrastructure as Code using Terraform (or equivalent IaC technologies). Continuously improve platform scalability, resilience, availability, and operational efficiency.<br><br>Enable Modern Software Delivery<br><br>Design and maintain CI/CD pipelines supporting automated build, testing, security validation, and deployment. Implement Git Ops-based deployment workflows using tools such as Argo CD. Support progressive deployment strategies including blue/green, canary, and automated rollback. Improve software delivery through automation and standardized engineering workflows.<br><br>Drive Reliability and Observability<br><br>Implement and maintain monitoring, logging, alerting, and tracing across the platform. Define operational standards, service reliability objectives, and performance metrics. Participate in troubleshooting, incident response, and root cause analysis to continuously improve platform reliability.<br><br>Build Security into the Platform<br><br>Implement platform security best practices across infrastructure and deployment pipelines. Manage identity, authentication, authorization, secrets, and access management. Integrate security controls into the SDLC through automated policy enforcement, vulnerability scanning, and infrastructure hardening.<br><br>Collaborate Across Engineering<br><br>Work closely with software engineers, architects, QA, and cloud specialists to improve engineering productivity. Provide internal tooling and self-service capabilities that simplify application deployment and operations. Support architecture discussions to ensure platform capabilities align with product and application requirements. Contribute to continuous improvement of engineering practices across the organization.<br><br>Requirements<br><br>Strong experience designing and operating cloud-native infrastructure on AWS, Azure, or Google Cloud Platform. Hands-on experience with Kubernetes and container technologies such as Docker. Experience building and maintaining production CI/CD pipelines using tools such as Git Lab CI, Git Hub Actions, Jenkins, Tekton, or similar. Experience with Infrastructure as Code using Terraform, Cloud Formation, or equivalent. Strong scripting skills using Python, Bash, or similar languages. Experience with Git and modern software development workflows. Knowledge of monitoring and observability platforms such as Prometheus, Grafana, ELK, or similar. Strong understanding of infrastructure, networking, storage, and cloud architecture. Experience implementing infrastructure and platform security best practices. Excellent problem-solving, collaboration, and communication skills. Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience.<br><br>Nice to Have<br><br>Git Ops technologies such as Argo CD. Helm, Tekton, or similar platform tooling. Identity and Access Management technologies including Keycloak, OAuth2/OIDC, or SAML. Configuration management tools such as Ansible. Service Mesh technologies and API gateways. Experience operating highly available distributed systems. Knowledge of confidential computing, secure boot, platform integrity, or attestation technologies. Familiarity with Domain-Driven Design (DDD).<br><br>Join us to drive innovation and shape the future of technology!<br><br>How To Apply<br><br>Are you ready to embark on an exciting journey with Quantum Gate? To apply, please send your resume detailing your relevant experience and why you're the perfect fit for this role.<br><br>Join us as we pioneer innovative solutions to secure the future of digital technology and protect tomorrow’s digital society.

Quantum Gate is dedicated to developing and commercializing cutting-edge post-quantum cryptographic solutions. Our mission is to safeguard enterprise digital environments through innovative protocols and applications that address the evolving challenges of the post-quantum era.<br><br>We are looking for a Senior Platform Engineer to join the QSphere engineering team at Quantum Gate and build the engineering platform that powers the entire software development lifecycle (SDLC).<br><br>You will design, build, and operate the cloud platform that enables development teams to develop, test, deploy, and operate software securely and reliably. From infrastructure as code and Kubernetes to CI/CD, Git Ops, observability, and security, you will help create a modern, scalable platform that allows engineers to ship software faster while maintaining high standards for reliability, security, and operational excellence.<br><br>This role combines Platform Engineering, Cloud Infrastructure, and Dev Ops practices, treating the engineering platform as a product with a strong focus on automation, self-service, and developer experience.<br><br>Key Responsibilities<br><br>Build and Operate the Engineering Platform<br><br>Design, implement, and maintain the cloud infrastructure supporting development, testing, staging, and production environments. Build and evolve Kubernetes-based platforms for scalable application deployment. Define and maintain Infrastructure as Code using Terraform (or equivalent IaC technologies). Continuously improve platform scalability, resilience, availability, and operational efficiency.<br><br>Enable Modern Software Delivery<br><br>Design and maintain CI/CD pipelines supporting automated build, testing, security validation, and deployment. Implement Git Ops-based deployment workflows using tools such as Argo CD. Support progressive deployment strategies including blue/green, canary, and automated rollback. Improve software delivery through automation and standardized engineering workflows.<br><br>Drive Reliability and Observability<br><br>Implement and maintain monitoring, logging, alerting, and tracing across the platform. Define operational standards, service reliability objectives, and performance metrics. Participate in troubleshooting, incident response, and root cause analysis to continuously improve platform reliability.<br><br>Build Security into the Platform<br><br>Implement platform security best practices across infrastructure and deployment pipelines. Manage identity, authentication, authorization, secrets, and access management. Integrate security controls into the SDLC through automated policy enforcement, vulnerability scanning, and infrastructure hardening.<br><br>Collaborate Across Engineering<br><br>Work closely with software engineers, architects, QA, and cloud specialists to improve engineering productivity. Provide internal tooling and self-service capabilities that simplify application deployment and operations. Support architecture discussions to ensure platform capabilities align with product and application requirements. Contribute to continuous improvement of engineering practices across the organization.<br><br>Requirements<br><br>Strong experience designing and operating cloud-native infrastructure on AWS, Azure, or Google Cloud Platform. Hands-on experience with Kubernetes and container technologies such as Docker. Experience building and maintaining production CI/CD pipelines using tools such as Git Lab CI, Git Hub Actions, Jenkins, Tekton, or similar. Experience with Infrastructure as Code using Terraform, Cloud Formation, or equivalent. Strong scripting skills using Python, Bash, or similar languages. Experience with Git and modern software development workflows. Knowledge of monitoring and observability platforms such as Prometheus, Grafana, ELK, or similar. Strong understanding of infrastructure, networking, storage, and cloud architecture. Experience implementing infrastructure and platform security best practices. Excellent problem-solving, collaboration, and communication skills. Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience.<br><br>Nice to Have<br><br>Git Ops technologies such as Argo CD. Helm, Tekton, or similar platform tooling. Identity and Access Management technologies including Keycloak, OAuth2/OIDC, or SAML. Configuration management tools such as Ansible. Service Mesh technologies and API gateways. Experience operating highly available distributed systems. Knowledge of confidential computing, secure boot, platform integrity, or attestation technologies. Familiarity with Domain-Driven Design (DDD).<br><br>Join us to drive innovation and shape the future of technology!<br><br>How To Apply<br><br>Are you ready to embark on an exciting journey with Quantum Gate? To apply, please send your resume detailing your relevant experience and why you're the perfect fit for this role.<br><br>Join us as we pioneer innovative solutions to secure the future of digital technology and protect tomorrow’s digital society.

About Us<br><br>Dyson's Software Test & Quality Assurance ensures the products we sell represent the high Quality and Reliability of the Dyson brand, by using the world class techniques to implement automated methods of testing. This can involve simulating elements of the product to allow testing of all scenarios, to using image recognition or advanced technologies for automatic identification of elements displayed on the user interface. Quality is ensured and actively maintained during the Scaled Agile Framework development process by our QMS experts, and accepting customer correspondence to improve future products. Our labs allow unattended testing of partial to full products including moving robots, allowing the team to work remotely.<br><br>About The Role<br><br>Own and define the quality and verification strategy across embedded software, app, IoT, and cloud platforms. Build and develop high-performing Test & QA teams, coach Test&QA Leads and Managers. Provide technical direction for system, integration, protocol, connectivity, security, and compliance testing. And Test architecture, automation test strategy for complex multi-platform systems. Drive innovation in HIL automation, simulation, data-driven testing, and AI-enabled test methods. Represent Test & QA in program governance, influencing release decisions with strong quality evidence. Oversee quality metrics, dashboards, and analytics for defect trends, maturity, and reliability insights. Ensure compliance with industry standards: security, RF, Matter, safety, Market regulations. Stay updated on the latest automation testing strategies, techniques, tools, and frameworks. Collaborate with project managers, design managers and architects to test plan & strategy and budget. Report projects test progress & software quality status to senior stakeholders and ensure clear communication across teams.<br><br><br>About you<br><br>Master’s degree in Computer Engineering, Electronics, Software Engineering, or similar.15+ years in software/embedded/IoT/app/cloud testing, including 7+ years Test & QA teams Manager. Proven experience managing electronic hardware and software quality for large-scale, multi-platform consumer products. Strong technical depth in automation (Python/C/Kotlin/Swift), CI/CD pipelines, protocol testing (BLE/Wi-Fi/MQTT), embedded testing, API testing, and mobile test frameworks. Skilled in using test tools such as protocol analyzers, device sniffers, Simulators, mobile app and cloud test utilities. Data-driven mindset with experience in dashboards, observability, and quality analytics. Passionate about quality, continuous improvement, and raising engineering standards. Excellent leadership and cross-functional influencing skills. Ability to mentor teams, uplift competencies, and build a high-performance engineering culture. Strong systems thinking across embedded, electrical, mechanical, cloud, and app ecosystems. Experience with the full electronic hardware and software development and test lifecycle and Agile development & test processes. Ability to shape long-term testing capability and lead transformation in automation and test methods. Expertise in automated testing, requirements analysis, test framework design, development, and debugging for both embedded software and IoT systems. Excellent written and verbal communication skills, capable of presenting complex technical information clearly to executives and non-technical leaders. Strong ability to multi-task across multiple product deliverables and manage multiple schedules simultaneously.<br><br><br>Benefits<br><br>Dyson monitors the market to ensure competitive salaries and bonuses. Beyond that, you’ll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition.<br><br>Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.

Role Summary<br><br>AI71 is seeking a Senior Machine Learning Engineer to lead the development and deployment of advanced AI models for the EDGE Group. In this role, you will be responsible for the end-to-end lifecycle of our machine learning systems—from architectural design and data preprocessing to model training, optimization, and production deployment.<br><br>You will work at the intersection of generative AI and traditional machine learning, building the engines that power two flagship initiatives: Lever EDGE (automated requirements engineering via LLMs) and Intelligent Supply Chain (predictive risk scoring and demand forecasting). Operating within a structured "Sprint Zero" to "Stage Gate" delivery model, you will ensure our models are not just accurate, but also robust, explainable, and deployable within strict defense-grade security environments.<br><br>Key Responsibilities<br><br> LLM & NLP Pipelines (Lever EDGE) Regulation Parsing: Design and fine-tune Large Language Model (LLM) pipelines to interpret complex regulatory texts (e.g., military standards, building codes) and extract structured rules. Rule Formalization: Convert natural language requirements into computer-processable formats (e.g., logic tuples) that can be executed by downstream compliance engines. Semantic Search: Implement RAG (Retrieval-Augmented Generation) architectures to enable semantic querying of technical documentation and historical project data. Prompt Engineering: optimize prompt strategies (few-shot learning, chain-of-thought) to improve model performance on domain-specific tasks without extensive retraining. Predictive & Analytical Models (Supply Chain) Forecasting Engines: Develop time-series forecasting models to predict material demand and spend categories, integrating internal ERP data with external market signals. Risk Scoring: Build classification and anomaly detection models to assess supplier risk profiles based on financial health, delivery performance, and geopolitical factors. Optimization Algorithms: Design algorithms for multi-objective optimization (e.g., balancing cost vs. lead time vs. risk) to support procurement decision-making. MLOps & Productionization Model Deployment: Containerize models using Docker/Kubernetes and deploy them into secure, on-premise inference environments. Pipeline Orchestration: Build automated training and inference pipelines using tools like Kubeflow or MLflow to ensure reproducibility and scalability. Performance Optimization: Optimize model inference latency and resource usage (e.g., quantization, distillation) to run efficiently on available hardware. Monitoring & retraining: Implement monitoring systems to track model drift and performance in production, establishing feedback loops for continuous improvement.<br><br>Technical Requirements<br><br>Core ML/AI: Expert proficiency in Python and standard ML libraries (PyTorch, Tensor Flow, Scikit-learn, Pandas, Num Py). NLP & Gen AI: Strong experience with transformer architectures (BERT, GPT, Llama) and NLP frameworks (Hugging Face, Lang Chain). MLOps: Proficiency with MLOps tools and practices, including containerization (Docker), orchestration (Kubernetes), and experiment tracking (MLflow). Data Handling: Ability to design data preprocessing pipelines for both structured (SQL, tabular) and unstructured (text, PDF) data. Algorithm Design: Strong grasp of algorithmic principles for implementing custom logic, such as graph traversal or geometric computations.<br><br>Professional Qualifications<br><br>Experience: 5+ years of experience in Machine Learning Engineering, with a proven track record of deploying models into production environments. Domain Adaptability: Ability to quickly learn and apply ML techniques to specialized domains like defense engineering, supply chain, or construction. Structured Delivery: Experience working in agile environments (Sprints) while adhering to rigorous engineering standards and documentation requirements. Collaboration: Strong communication skills to work effectively with Data Scientists, Backend Engineers, and Domain Experts to align technical solutions with business needs.<br><br>Why This Role?<br><br>You will be building the intelligence that drives critical national infrastructure. Your models will not just generate text or predictions; they will directly influence the design of defense systems and the resilience of supply chains. If you are ready to apply advanced ML to tangible, high-stakes problems in a rigorous engineering environment, join AI71.

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.<br><br>We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.<br><br>But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices to electrify our homes, shifting usage to off-peak hours and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.<br><br>We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse.<br><br>Responsibilities<br><br>Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup) Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively<br><br>Requirements<br><br>Minimum 3 years of engineering experience Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (Tensor Flow, PyTorch, etc.) Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production Solid understanding of cloud technologies, containerisation and building scalable AI applications Ability to integrate AI/ML models into real-world applications, focusing on usability and performance Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment Experience working with large datasets, particularly in relation to demand and supply forecasting<br><br>Bonus<br><br>Experience or strong interest in energy markets and trading strategies Understanding of weather forecasting, energy demand patterns, and production modelling Exposure to Natural Language Processing (NLP) or other related fields<br><br>Benefits<br><br>Competitive salary and an equity sign-on bonus Biannual bonus scheme Fully expensed tech to match your needs Paid annual leave Breakfast and dinner allowance for office based employees

System Administrator Role Description We are seeking a System Administrator to manage, maintain, and optimize the organization's IT infrastructure, servers, operating systems, and enterprise platforms to ensure high availability, security, and operational efficiency. This role is responsible for administering system environments, monitoring infrastructure performance, implementing security controls, and supporting business-critical technology services across on-premises and cloud environments. The successful candidate will collaborate with network engineers, cloud engineers, cybersecurity specialists, IT support teams, software developers, and business stakeholders to maintain reliable and scalable IT systems. You will configure servers, manage operating systems, monitor infrastructure health, troubleshoot system issues, and ensure enterprise platforms remain secure and highly available. Key responsibilities include installing, configuring, upgrading, and maintaining Windows and Linux servers, managing virtualization platforms, administering user accounts and permissions, monitoring system performance, implementing backup and disaster recovery procedures, and performing routine system maintenance. You will support Active Directory services, identity management, email systems, file services, storage infrastructure, and enterprise applications while ensuring compliance with organizational IT policies. The role also involves administering cloud infrastructure, monitoring system logs, managing security patches, automating administrative tasks, supporting endpoint management, maintaining documentation, and coordinating infrastructure upgrades and technology deployments. You will participate in incident response, root cause analysis, capacity planning, performance optimization, and business continuity initiatives while minimizing system downtime and operational risks. You will collaborate with cross-functional teams to support IT projects, implement infrastructure improvements, evaluate emerging technologies, and enhance overall system reliability and operational resilience. You will ensure all systems comply with cybersecurity standards, regulatory requirements, data protection policies, and organizational governance frameworks. Success in this role requires strong technical expertise, analytical thinking, troubleshooting abilities, automation skills, attention to detail, and the ability to manage multiple infrastructure priorities within a dynamic IT environment. This position offers the opportunity to contribute to a secure, scalable, and high-performing technology environment while supporting digital transformation, operational excellence, and long-term business growth. Qualifications Bachelor's degree or Diploma in Information Technology, Computer Science, Information Systems, Computer Engineering, Network Engineering, or a related discipline. Strong understanding of system administration, server management, enterprise infrastructure, and operating system administration. Proficiency in Microsoft Windows Server, Linux distributions (Ubuntu, Red Hat, Cent OS, Debian, or equivalent), and enterprise operating systems. Knowledge of Microsoft Active Directory, Microsoft Entra ID (Azure Active Directory), Group Policy, DNS, DHCP, LDAP, and identity and access management. Familiarity with Microsoft 365, Exchange Online, Share Point, One Drive, Microsoft Teams, and enterprise collaboration platforms. Understanding of virtualization technologies such as VMware v Sphere, Microsoft Hyper-V, Proxmox, or equivalent virtualization platforms. Knowledge of cloud computing platforms including Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), or hybrid cloud environments. Familiarity with backup solutions, disaster recovery planning, storage systems, high availability, business continuity, and data protection strategies. Understanding of networking fundamentals including TCP/IP, VLANs, VPNs, routing, switching, firewalls, load balancing, and network security. Knowledge of scripting and automation using Power Shell, Bash, Python, or equivalent scripting languages. Familiarity with monitoring, logging, and observability platforms such as Zabbix, Nagios, Prometheus, Grafana, ELK Stack, Datadog, or equivalent monitoring solutions. Understanding of cybersecurity best practices, vulnerability management, endpoint protection, patch management, encryption, and compliance requirements. Proficiency in Microsoft Office applications and IT documentation tools. Strong analytical thinking, troubleshooting, and problem-solving skills with excellent attention to detail. Excellent communication and interpersonal skills with the ability to collaborate effectively with technical and non-technical stakeholders. Ability to prepare system documentation, infrastructure diagrams, operational procedures, technical reports, and disaster recovery documentation. Commitment to continuous learning and staying current with emerging infrastructure technologies, cloud platforms, cybersecurity trends, automation tools, and industry best practices. Professional, proactive, and service-oriented mindset with a strong commitment to system reliability, operational excellence, security, and continuous improvement.

About The Role<br><br>Engage in the client Software Development Lifecycle to collaboratively ensure new products, platforms, and technologies meet or exceed security engineering requirements;<br><br>Create formal threat models to enumerate and mitigate potential security risks in proposed architecture and designs;<br><br>Partner with Information Security GRC counterparts to author security requirements and standards;<br><br>Brief executive leaders on potential emergent threats and ongoing efforts to proactively address potential cyber security risks;<br><br>Work with platform and security engineering leadership to interactively improve<br><br>Enhance and mature the security engineering training curriculum in partnership with Security Awareness and Training owners;<br><br>Act as domain specialist across Peloton’s security solutions and technology stack;<br><br>Identify strategic investments and initiatives that lower the transactional cost of designing and implementing secure platform solutions and reduce the likelihood of potential cyber security attacks;<br><br>Influence the security strategy by improving the collective strength of the security team and articulating the capabilities needed to optimally manage cyber-attack risk;<br><br>Requirements<br><br>10+ years of hands-on experience in working with engineering teams on design and implementation of security best practices in architecture and code.<br><br>10+ years of experience working with product security teams to drive engineering remediation to externally identified threats and vulnerabilities.<br><br>7+ years of experience with creating threat models and working with teams to identify and remediate potential security gaps related to authentication, authorization, network segmentation, encryption, container configuration, bastion host setup, etc.<br><br>Extensive experience and strong understanding of cloud security controls including but not limited to such as IAM, KMS, VPC, Security Groups, AWS Inspector, Guard Duty and SCPs.<br><br>Knowledge and Hands on Skills with Docker, ECS, Kubernetes, and Container Security.<br><br>Extensive understanding MITRE ATT&CK, NIST CSF, CVSS and CWE criteria, enumeration and scoring.<br><br>Broad security-related domain knowledge with authentication and authorization, identity and access management, data protection, OAuth/Open ID connect, Web security.<br><br>Extensive experience with embedded software development and architectures, security protocols, applied cryptography and security standards<br><br>Deep understanding of the TCP/IP protocol stack and major protocols.<br><br>Working knowledge of one or more general purpose programming/script languages including but not limited to: Java, C/C++, C#, Python, Java Script, Power Shell.<br><br>Excellent relationship building skills across diverse cross-functional teams.<br><br>Exceptional written/oral communication skills.<br><br>Good cryptography knowledge and implementation expertise with hands on experience in PKI – SSL, TLS certificate management<br><br>Exceptional bias for action and ownership.<br><br>Humble, hardworking, forward-thinking and embodies a “hands on” leadership mindset.<br><br>Job Category: Architect<br><br>Requirements<br><br>The Principal Security Architect will work with external technology providers and security vendors. They will evaluate and assess the applicability of various solutions to determine their capability to mitigate potential security risks. They will work closely with partner teams to integrate solutions that are determined necessary.<br><br>The role plays a critical function in constantly evolving clients security development lifecycle. It owns the development of security engineering requirements and secure design and architecture review consultation. In coordination with Security Response Engineering, the Principal Platform Security Architect drives the root cause analysis to ensure critical security risks and design flaws discovered post release never manifest in future iterations of Peloton’s products and services.<br><br>The ideal candidate is a proven engineering leader that has both exemplary engineering and communication skills. They have extensive experience collaborating with internal engineering partners and briefing Executive Leadership. They are a proven security technology and methodology expert that scales through enabling other engineering partners to make the right security design decisions and trade-offs.<br><br>About The Company<br><br>At AMD, we are dedicated to safeguarding our client against cyber threats. We recognize the distinct requirements and vulnerabilities of each enterprise, which is why we offer tailor-made solutions to shield your data and assets effectively.<br><br>Our collaborative approach involves working closely with clients to devise a holistic cybersecurity strategy that harmonizes with their specific business objectives.

Overview<br><br>Analog is a catalyst for change across various industries - from global enterprises to the public sector, from healthcare to ecology. Analog's approach to AI ensures that technological advancements are not just about efficiency and convenience, but about enriching human experiences and fostering a more connected and mixed world. Analog is not just building technology; we are crafting a world where technology is an invisible yet indispensable part of our lives. Join us on our journey as we work to build solutions that will empower people to stop living behind the digital world and start remembering how to live in our rainbow-filled analog world.<br><br>Role<br><br>The Speech & Language Scientist is a specialized role that focuses on advancing the understanding and application of speech and language technologies. This role bridges research and development, enabling cutting-edge innovations in areas such as automatic speech recognition (ASR), natural language understanding (NLU), speech synthesis (TTS), and conversational AI.<br><br>Responsibilities<br><br>Conduct cutting-edge research in speech and audio technologies, including areas such as speech recognition, speech synthesis, audio enhancement, speaker identification, and spatial audio Research, model, design, develop and test novel audio and speech processing algorithms using machine learning, signal processing, and computer vision Collaborate with cross-functional teams (e.g., software engineers, product managers, and designers) to implement research into real-world applications. Improve accuracy of models/algorithms to solve problems encountered during the model/algorithm implementation. Coordinate various teams to solve these problems in an efficient, and effective way. Propose scenarios where AI techniques could improve the efficiency of target clients’ businesses. Invent, analyze, design, develop and optimize algorithms and models in AUDIO areas such as Speech Recognition, Text to Speech, Speaker Recognition, etc.<br><br>Qualifications<br><br>Ph. D. in Computer Science, Electrical Engineering, or a related field with a focus on speech and audio processing, or equivalent practical experience. Proven track record of research in speech or audio processing, demonstrated by publications in peer- reviewed journals or conferences. Expertise in machine learning frameworks (e.g., PyTorch, Tensor Flow) and proficiency in programming languages like Python, C++, or similar. Strong knowledge of signal processing techniques and deep learning models for speech and audio tasks. Experience working with large-scale datasets and distributed computing systems. Proven track record of research in speech or audio processing, demonstrated by publications in peer- reviewed journals or conferences such as CVPR, ECCV, NIPS, ICASSP, Inter Speech etc<br><br>Preferred Qualifications<br><br> Experience with real-time audio systems or applications in AR/VR, accessibility, or social interaction platforms. Familiarity with techniques for multilingual or low-resource speech recognition. Background in self-supervised or unsupervised learning for speech/audio representation. Knowledge of privacy-preserving techniques in audio data processing. Experience mentoring junior researchers or managing collaborative projects.<br><br>What Working At Analog Offers<br><br>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. 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. 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. 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.

Who We Are<br><br>Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.<br><br>To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.<br><br>We Are BCG X<br><br>We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.<br><br>What You'll Do<br><br>Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.<br><br>As a Data Scientist and Senior Data Scientist, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.<br><br>Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative.<br><br>We Are Looking For Talented Individuals With a Passion For Data Science, Statistics, Operations Research And Transforming Organizations Into AI Led Innovative Companies. Successful Candidates Possess The Following<br><br>Comfortable in a client-facing role with the ambition to lead teams Likes to distill complex results or processes into simple, clear visualizations Explain sophisticated data science concepts in an understandable manner Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or Dev Ops experience) Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients Have strong project management skills <br><br>What You'll Bring<br><br>Technologies<br><br>Programming Languages: Python<br><br>#BCGXjob<br><br>Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.<br><br>BCG is an E - Verify Employer. Click here for more information on E-Verify.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><span>Black &amp; Grey HR is recruiting for a leading investment group in the UAE. Our client is looking to hire a&nbsp;</span>Data Engineering Consultant with strong Snowflake expertise to support retail data transformation efforts. The role is centered on enabling advanced analytics across customer, sales, inventory, and supply chain functions, while also leveraging AI-derived insights to drive improvements in demand forecasting, personalisation, and operational efficiency. <br><br><b>Key Responsibilities</b><br>- Contribute to the development and upkeep of data pipelines within Snowflake.<br><br>- Provide support for ETL/ELT processes involving retail datasets (POS, e-commerce, inventory, CRM).<br><br>- Work alongside senior data engineers and analysts to maintain data quality and reliability.<br><br>- Gain practical experience in applying Cortex AI capabilities to retail use cases such as recommendations and forecasting.<br><br>- Document data processes, pipelines, and model designs.<br><br>- Monitor pipeline performance and assist with troubleshooting when issues arise.<br><br>- Respond to ad-hoc data requests originating from business stakeholders.<br><br></span><br><span>Requirements<u>Qualifications &amp; Experience <br></u><br>- 3+ years of Data Engineering experience, ideally within retail or e-commerce environments.<br><br>- Solid, practical experience with the Snowflake Data Cloud.<br><br>- Strong command of SQL and Python.<br><br>- Familiarity with ETL/ELT tools (e.g., dbt, Airflow, or similar).<br><br>- Experience working with BI platforms such as Tableau, Power BI, or Looker.<br><br>- Snowflake or cloud-related certifications are considered a plus.<br><br><u>Core Competencies<br></u><br>- Strong analytical thinking and problem-solving capabilities.<br><br>- Ability to interpret retail business needs and translate them into data-driven solutions.<br><br>- Good communication skills, comfortable interacting with both technical teams and business users.<br><br>- Agile delivery mindset and ability to manage stakeholder relationships effectively.<br><br></span><br><span>Benefits- Competitive Salary + Benefits <br><br>- Hands-on exposure to Snowflake and Cortex technologies. <br><br>- Involvement in full-cycle retail analytics projects.<br><br>-&nbsp;Guidance and mentorship from experienced senior data engineers.<br><br>-&nbsp;Opportunities to actively contribute to AI-focused business insights.<br><br>-&nbsp;Strong organisational backing for ongoing learning, professional growth, and career progression.<br><br></span><br> </div>

???? We’re Hiring: Bioinformatics Manager???? Location: United Arab Emirates (Remote)???? Employment Type: Full-Time???? Level: Senior Level???? About UsWe are a research-driven, innovation-focused organization committed to advancing scientific discovery through data, technology, and computational biology. Our teams collaborate across bioinformatics, life sciences, biotechnology, healthcare research, data science, engineering, and academic partners to transform complex biological data into actionable insights that support innovation, diagnostics, and scientific advancement.???? The Role We are seeking an experienced Bioinformatics Manager to lead bioinformatics strategy, computational biology initiatives, and data-driven research programs. The ideal candidate will oversee analysis pipelines, manage bioinformatics teams, integrate multi-omics data, and collaborate with scientific and clinical stakeholders to support research and innovation objectives.???? Key Responsibilities• Develop and execute bioinformatics strategies aligned with research goals, scientific objectives, and organizational innovation priorities• Lead the design, development, and maintenance of bioinformatics pipelines for genomic, transcriptomic, proteomic, and multi-omics data analysis• Collaborate with research scientists, laboratory teams, clinical experts, data engineers, and external academic partners to support interdisciplinary research initiatives• Manage large-scale biological datasets, ensuring data integrity, quality control, storage optimization, and compliance with scientific standards• Oversee statistical analysis, machine learning models, computational biology workflows, and algorithm development for biological data interpretation• Monitor key performance indicators (KPIs) including pipeline performance, data processing accuracy, research output quality, computational efficiency, and project delivery timelines• Integrate bioinformatics tools, cloud computing platforms, databases, and high-performance computing (HPC) systems to support scalable research operations• Ensure compliance with ethical standards, data governance policies, laboratory regulations, and research integrity requirements• Interpret genomic and biological data to generate actionable insights that support drug discovery, diagnostics, precision medicine, or biological research initiatives• Evaluate emerging technologies in genomics, computational biology, AI-driven bioinformatics, and systems biology to enhance research capabilities• Prepare scientific reports, research publications, technical documentation, data visualizations, and executive summaries for internal and external stakeholders• Lead, mentor, and develop bioinformaticians, data scientists, research analysts, and computational biology teams while fostering a culture of scientific rigor, collaboration, and continuous innovation✅ Requirements• Bachelor's degree in Bioinformatics, Computational Biology, Biotechnology, Computer Science, Data Science, Biology, or a related field• Master's degree or PhD in Bioinformatics, Computational Biology, Genomics, or related scientific discipline is highly advantageous• 7+ years of experience in bioinformatics, computational biology, genomics data analysis, or related research fields• 3+ years of experience leading bioinformatics teams, scientific projects, or computational research initiatives preferred• Strong understanding of genomics, transcriptomics, proteomics, sequence analysis, statistical genetics, and systems biology• Experience with programming languages such as Python, R, or Perl, and familiarity with bioinformatics tools and pipelines (e.g., BLAST, GATK, Bioconductor, Galaxy)• Experience with cloud computing platforms (AWS, Azure, GCP), HPC environments, and biological databases (NCBI, Ensembl, Uni Prot)• Familiarity with machine learning applications in biology, AI-driven drug discovery, and multi-omics integration is advantageous• Strong analytical, computational, research, and problem-solving skills• Excellent communication, scientific writing, stakeholder management, and cross-functional collaboration abilities• Ability to translate complex biological data into meaningful scientific and business insights• Ability to work independently in remote research environments???? What We Offer• Fully remote work opportunity within the United Arab Emirates• Competitive compensation package• Professional development and scientific research growth opportunities• Exposure to cutting-edge bioinformatics, genomics, AI-driven biology, and computational research initiatives• Flexible and collaborative research environment• Supportive culture focused on scientific excellence, innovation, collaboration, and continuous discovery• Opportunity to contribute to groundbreaking biological research and data-driven scientific advancements• Clear career progression within bioinformatics, computational biology, data science leadership, and research management functions

???? We’re Hiring: Bioinformatics Manager???? Location: United Arab Emirates (Remote)???? Employment Type: Full-Time???? Level: Senior Level???? About UsWe are a research-driven, innovation-focused organization committed to advancing scientific discovery through data, technology, and computational biology. Our teams collaborate across bioinformatics, life sciences, biotechnology, healthcare research, data science, engineering, and academic partners to transform complex biological data into actionable insights that support innovation, diagnostics, and scientific advancement.???? The Role We are seeking an experienced Bioinformatics Manager to lead bioinformatics strategy, computational biology initiatives, and data-driven research programs. The ideal candidate will oversee analysis pipelines, manage bioinformatics teams, integrate multi-omics data, and collaborate with scientific and clinical stakeholders to support research and innovation objectives.???? Key Responsibilities• Develop and execute bioinformatics strategies aligned with research goals, scientific objectives, and organizational innovation priorities• Lead the design, development, and maintenance of bioinformatics pipelines for genomic, transcriptomic, proteomic, and multi-omics data analysis• Collaborate with research scientists, laboratory teams, clinical experts, data engineers, and external academic partners to support interdisciplinary research initiatives• Manage large-scale biological datasets, ensuring data integrity, quality control, storage optimization, and compliance with scientific standards• Oversee statistical analysis, machine learning models, computational biology workflows, and algorithm development for biological data interpretation• Monitor key performance indicators (KPIs) including pipeline performance, data processing accuracy, research output quality, computational efficiency, and project delivery timelines• Integrate bioinformatics tools, cloud computing platforms, databases, and high-performance computing (HPC) systems to support scalable research operations• Ensure compliance with ethical standards, data governance policies, laboratory regulations, and research integrity requirements• Interpret genomic and biological data to generate actionable insights that support drug discovery, diagnostics, precision medicine, or biological research initiatives• Evaluate emerging technologies in genomics, computational biology, AI-driven bioinformatics, and systems biology to enhance research capabilities• Prepare scientific reports, research publications, technical documentation, data visualizations, and executive summaries for internal and external stakeholders• Lead, mentor, and develop bioinformaticians, data scientists, research analysts, and computational biology teams while fostering a culture of scientific rigor, collaboration, and continuous innovation✅ Requirements• Bachelor's degree in Bioinformatics, Computational Biology, Biotechnology, Computer Science, Data Science, Biology, or a related field• Master's degree or PhD in Bioinformatics, Computational Biology, Genomics, or related scientific discipline is highly advantageous• 7+ years of experience in bioinformatics, computational biology, genomics data analysis, or related research fields• 3+ years of experience leading bioinformatics teams, scientific projects, or computational research initiatives preferred• Strong understanding of genomics, transcriptomics, proteomics, sequence analysis, statistical genetics, and systems biology• Experience with programming languages such as Python, R, or Perl, and familiarity with bioinformatics tools and pipelines (e.g., BLAST, GATK, Bioconductor, Galaxy)• Experience with cloud computing platforms (AWS, Azure, GCP), HPC environments, and biological databases (NCBI, Ensembl, Uni Prot)• Familiarity with machine learning applications in biology, AI-driven drug discovery, and multi-omics integration is advantageous• Strong analytical, computational, research, and problem-solving skills• Excellent communication, scientific writing, stakeholder management, and cross-functional collaboration abilities• Ability to translate complex biological data into meaningful scientific and business insights• Ability to work independently in remote research environments???? What We Offer• Fully remote work opportunity within the United Arab Emirates• Competitive compensation package• Professional development and scientific research growth opportunities• Exposure to cutting-edge bioinformatics, genomics, AI-driven biology, and computational research initiatives• Flexible and collaborative research environment• Supportive culture focused on scientific excellence, innovation, collaboration, and continuous discovery• Opportunity to contribute to groundbreaking biological research and data-driven scientific advancements• Clear career progression within bioinformatics, computational biology, data science leadership, and research management functions