Python Developer Jobs in UAE

Job Title: Software Engineering<br><br>Job Type: Contractor (10-12 hours per week)<br><br>Location: Remote<br><br>Job Summary<br><br>We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems.<br><br>No prior AI experience is required. What matters most is strong software engineering judgment, clean technical communication, and the ability to evaluate code, architecture, tradeoffs, and implementation quality.<br><br>Key Responsibilities<br><br>Work on challenging software engineering tasks across backend, full-stack, infrastructure, and systems-related projects. Review, debug, improve, and explain code across different technical environments. Design or evaluate practical solutions involving APIs, databases, services, integrations, testing, and deployment workflows. Identify tradeoffs around scalability, maintainability, performance, reliability, security, and developer experience. Communicate technical reasoning clearly in writing, including why a solution works and what alternatives were considered. Collaborate with the customer’s team on technical reviews, implementation decisions, and problem-solving exercises. Adapt quickly to new codebases, frameworks, and technical requirements.<br><br>Required Skills And Qualifications<br><br>5+ years of hands-on software engineering experience. Strong experience in at least one backend or full-stack engineering environment, such as Python, Java Script/Type Script, Node.js, Java, C#, . NET, C++, Go, Ruby, PHP, or similar. Experience building, maintaining, or reviewing production-level applications, APIs, services, databases, or integrations. Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs. Ability to explain complex engineering decisions clearly and objectively. Comfortable reading and reasoning through unfamiliar code or technical requirements<br><br>Preferred Qualifications<br><br>Experience with cloud environments such as AWS, GCP, or Azure. Experience with CI/CD pipelines, Dev Ops workflows, containers, monitoring, or production operations. Experience with frontend frameworks such as React, Next.js, Angular, Vue, or React Native. Open-source contributions, public Git Hub work, technical writing, or strong examples of past engineering work. Experience mentoring engineers, reviewing code, or making architecture decisions.

Job Title: Software Engineering<br><br>Job Type: Contractor (10-12 hours per week)<br><br>Location: Remote<br><br>Job Summary<br><br>We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems.<br><br>No prior AI experience is required. What matters most is strong software engineering judgment, clean technical communication, and the ability to evaluate code, architecture, tradeoffs, and implementation quality.<br><br>Key Responsibilities<br><br>Work on challenging software engineering tasks across backend, full-stack, infrastructure, and systems-related projects. Review, debug, improve, and explain code across different technical environments. Design or evaluate practical solutions involving APIs, databases, services, integrations, testing, and deployment workflows. Identify tradeoffs around scalability, maintainability, performance, reliability, security, and developer experience. Communicate technical reasoning clearly in writing, including why a solution works and what alternatives were considered. Collaborate with the customer’s team on technical reviews, implementation decisions, and problem-solving exercises. Adapt quickly to new codebases, frameworks, and technical requirements.<br><br>Required Skills And Qualifications<br><br>5+ years of hands-on software engineering experience. Strong experience in at least one backend or full-stack engineering environment, such as Python, Java Script/Type Script, Node.js, Java, C#, . NET, C++, Go, Ruby, PHP, or similar. Experience building, maintaining, or reviewing production-level applications, APIs, services, databases, or integrations. Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs. Ability to explain complex engineering decisions clearly and objectively. Comfortable reading and reasoning through unfamiliar code or technical requirements<br><br>Preferred Qualifications<br><br>Experience with cloud environments such as AWS, GCP, or Azure. Experience with CI/CD pipelines, Dev Ops workflows, containers, monitoring, or production operations. Experience with frontend frameworks such as React, Next.js, Angular, Vue, or React Native. Open-source contributions, public Git Hub work, technical writing, or strong examples of past engineering work. Experience mentoring engineers, reviewing code, or making architecture decisions.

Role: Senior Dev Ops Engineer (Hybrid) Location: remote Job Type: Contract Payout: $30 - $130/hour<br>Role Overview:We are hiring for one of our clients, seeking a Senior Dev Ops Engineer to work on a contract basis. The role involves designing, implementing, and maintaining scalable infrastructure solutions to support high-traffic applications. Candidates will collaborate with cross-functional teams to optimize deployment pipelines and ensure system reliability.<br>Key Responsibilities:• Design and implement CI/CD pipelines using tools such as Jenkins, Git Lab CI, or Git Hub Actions.• Manage and optimize cloud infrastructure on AWS, Azure, or Google Cloud Platform.• Automate infrastructure provisioning and configuration using Terraform, Ansible, or similar tools.• Monitor system performance, troubleshoot issues, and implement incident response procedures.• Collaborate with development teams to ensure scalable, secure, and efficient deployment processes.• Implement and maintain security best practices, including IAM policies and encryption standards.• Optimize containerized environments using Docker, Kubernetes, or serverless architectures.• Document infrastructure configurations, deployment processes, and operational procedures.<br>Required Skills & Qualifications:• 5+ years of experience in Dev Ops practices and tooling.• Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform.• Hands-on experience with CI/CD pipelines and automation tools like Jenkins or Git Lab CI.• Strong scripting skills in Python, Bash, or Power Shell.• Experience with containerization and orchestration using Docker and Kubernetes.• Knowledge of infrastructure as code tools such as Terraform or Cloud Formation.• Understanding of networking, security, and compliance requirements.• Experience with monitoring and logging tools like Prometheus, Grafana, or ELK Stack.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of scalable cloud-based solutions. The contract includes competitive hourly compensation and flexibility to work on cutting-edge infrastructure projects.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Infrastructure Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $70/hour<br>Role Overview:We are hiring for one of our clients, seeking an Infrastructure Engineer to design, maintain, and optimize cloud and on-premises infrastructure systems. The role involves collaborating with cross-functional teams to ensure high availability, security, and scalability of critical systems. Candidates should have experience with modern infrastructure automation tools and cloud platforms.<br>Key Responsibilities:• Build, deploy, and manage scalable infrastructure using cloud services (AWS, Azure, or GCP) and automation tools (Terraform, Ansible, or Pulumi).• Monitor system performance and troubleshoot issues to minimize downtime and ensure reliability.• Implement and enforce security best practices, including IAM, network policies, and compliance standards.• Automate repetitive tasks to improve operational efficiency and reduce manual intervention.• Work with development teams to optimize infrastructure for cost, performance, and scalability.<br>Required Skills & Qualifications:• Experience with cloud platforms such as AWS, Azure, or GCP and their core services.• Proficiency in infrastructure-as-code tools like Terraform, Cloud Formation, or Pulumi.• Strong scripting skills in languages such as Python, Bash, or Power Shell.• Knowledge of containerization and orchestration tools like Docker and Kubernetes.• Experience with monitoring and logging tools such as Prometheus, Grafana, ELK, or Datadog.• Understanding of networking concepts, including VPC, subnets, load balancers, and firewalls.• Familiarity with CI/CD pipelines and version control systems like Git.• Ability to design and implement disaster recovery and backup strategies.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of high-performance infrastructure systems that support large-scale applications. The contract position provides flexibility to work remotely while solving complex technical challenges.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Senior Dev Ops Engineer (Hybrid) Location: remote Job Type: Contract Payout: $30 - $130/hour<br>Role Overview:We are hiring for one of our clients, seeking a Senior Dev Ops Engineer to work on a contract basis. The role involves designing, implementing, and maintaining scalable infrastructure solutions to support high-traffic applications. Candidates will collaborate with cross-functional teams to optimize deployment pipelines and ensure system reliability.<br>Key Responsibilities:• Design and implement CI/CD pipelines using tools such as Jenkins, Git Lab CI, or Git Hub Actions.• Manage and optimize cloud infrastructure on AWS, Azure, or Google Cloud Platform.• Automate infrastructure provisioning and configuration using Terraform, Ansible, or similar tools.• Monitor system performance, troubleshoot issues, and implement incident response procedures.• Collaborate with development teams to ensure scalable, secure, and efficient deployment processes.• Implement and maintain security best practices, including IAM policies and encryption standards.• Optimize containerized environments using Docker, Kubernetes, or serverless architectures.• Document infrastructure configurations, deployment processes, and operational procedures.<br>Required Skills & Qualifications:• 5+ years of experience in Dev Ops practices and tooling.• Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform.• Hands-on experience with CI/CD pipelines and automation tools like Jenkins or Git Lab CI.• Strong scripting skills in Python, Bash, or Power Shell.• Experience with containerization and orchestration using Docker and Kubernetes.• Knowledge of infrastructure as code tools such as Terraform or Cloud Formation.• Understanding of networking, security, and compliance requirements.• Experience with monitoring and logging tools like Prometheus, Grafana, or ELK Stack.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of scalable cloud-based solutions. The contract includes competitive hourly compensation and flexibility to work on cutting-edge infrastructure projects.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Infrastructure Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $70/hour<br>Role Overview:We are hiring for one of our clients, seeking an Infrastructure Engineer to design, maintain, and optimize cloud and on-premises infrastructure systems. The role involves collaborating with cross-functional teams to ensure high availability, security, and scalability of critical systems. Candidates should have experience with modern infrastructure automation tools and cloud platforms.<br>Key Responsibilities:• Build, deploy, and manage scalable infrastructure using cloud services (AWS, Azure, or GCP) and automation tools (Terraform, Ansible, or Pulumi).• Monitor system performance and troubleshoot issues to minimize downtime and ensure reliability.• Implement and enforce security best practices, including IAM, network policies, and compliance standards.• Automate repetitive tasks to improve operational efficiency and reduce manual intervention.• Work with development teams to optimize infrastructure for cost, performance, and scalability.<br>Required Skills & Qualifications:• Experience with cloud platforms such as AWS, Azure, or GCP and their core services.• Proficiency in infrastructure-as-code tools like Terraform, Cloud Formation, or Pulumi.• Strong scripting skills in languages such as Python, Bash, or Power Shell.• Knowledge of containerization and orchestration tools like Docker and Kubernetes.• Experience with monitoring and logging tools such as Prometheus, Grafana, ELK, or Datadog.• Understanding of networking concepts, including VPC, subnets, load balancers, and firewalls.• Familiarity with CI/CD pipelines and version control systems like Git.• Ability to design and implement disaster recovery and backup strategies.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of high-performance infrastructure systems that support large-scale applications. The contract position provides flexibility to work remotely while solving complex technical challenges.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Senior Dev Ops Engineer (Hybrid) Location: remote Job Type: Contract Payout: $30 - $130/hour<br>Role Overview:We are hiring for one of our clients, seeking a Senior Dev Ops Engineer to work on a contract basis. The role involves designing, implementing, and maintaining scalable infrastructure solutions to support high-traffic applications. Candidates will collaborate with cross-functional teams to optimize deployment pipelines and ensure system reliability.<br>Key Responsibilities:• Design and implement CI/CD pipelines using tools such as Jenkins, Git Lab CI, or Git Hub Actions.• Manage and optimize cloud infrastructure on AWS, Azure, or Google Cloud Platform.• Automate infrastructure provisioning and configuration using Terraform, Ansible, or similar tools.• Monitor system performance, troubleshoot issues, and implement incident response procedures.• Collaborate with development teams to ensure scalable, secure, and efficient deployment processes.• Implement and maintain security best practices, including IAM policies and encryption standards.• Optimize containerized environments using Docker, Kubernetes, or serverless architectures.• Document infrastructure configurations, deployment processes, and operational procedures.<br>Required Skills & Qualifications:• 5+ years of experience in Dev Ops practices and tooling.• Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform.• Hands-on experience with CI/CD pipelines and automation tools like Jenkins or Git Lab CI.• Strong scripting skills in Python, Bash, or Power Shell.• Experience with containerization and orchestration using Docker and Kubernetes.• Knowledge of infrastructure as code tools such as Terraform or Cloud Formation.• Understanding of networking, security, and compliance requirements.• Experience with monitoring and logging tools like Prometheus, Grafana, or ELK Stack.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of scalable cloud-based solutions. The contract includes competitive hourly compensation and flexibility to work on cutting-edge infrastructure projects.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

About the Role We are looking for a Quant Research Associate to join our research team and work on quantitative strategies for crypto and DeFi markets.<br>This position is designed for PhD students who want hands-on exposure to quantitative research in digital assets before pursuing a full-time role in the industry.<br>You will work directly with researchers and founders on problems involving:Market making Delta-neutral strategies Reinforcement learning Portfolio allocation Backtesting infrastructure Market microstructure research<br>Responsibilities Conduct quantitative research on crypto and DeFi markets Analyze market data and identify alpha opportunities Develop and evaluate trading strategies Build and improve backtesting frameworks Research applications of machine learning and reinforcement learning in trading Design experiments and evaluate strategy performance Collaborate with the team on production research initiatives<br>Requirements Currently pursuing a PhD (or final-year Master’s) in Mathematics, Statistics, Computer Science, Physics, Financial Engineering, Quantitative Finance, or a related field at HKUST, The University of Hong Kong (HKU), The Chinese University of Hong Kong (CUHK), or Hong Kong Polytechnic University (Poly U) Strong mathematical and statistical background Proficiency in Python Experience with machine learning frameworks such as PyTorch or Scikit-Learn Familiarity with quantitative research methodologies Ability to work independently in a research-driven environment Good written and spoken English<br>Preferred Qualifications Previous internship experience at a quantitative trading firm, hedge fund, market maker, or research lab Experience with reinforcement learning Knowledge of financial markets or market microstructure Experience working with order book or trade-level data Interest in digital assets, crypto markets, or DeFi<br>What We Offer Direct exposure to real-world quantitative research Opportunity to work on live strategies and production research Flexible schedule compatible with PhD studies Remote-first environment Compensation: HKD 15,000–25,000 per month (depending on experience and availability) Outstanding candidates may be considered for future full-time opportunities<br>Application Please send to admin@overnight.finance:CVBrief description of your research background Git Hub (optional) Publications or research projects (optional)

Job Title: Software Engineering<br><br>Job Type: Contractor (10-12 hours per week)<br><br>Location: Remote<br><br>Job Summary<br><br>We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems.<br><br>No prior AI experience is required. What matters most is strong software engineering judgment, clean technical communication, and the ability to evaluate code, architecture, tradeoffs, and implementation quality.<br><br>Key Responsibilities<br><br>Work on challenging software engineering tasks across backend, full-stack, infrastructure, and systems-related projects. Review, debug, improve, and explain code across different technical environments. Design or evaluate practical solutions involving APIs, databases, services, integrations, testing, and deployment workflows. Identify tradeoffs around scalability, maintainability, performance, reliability, security, and developer experience. Communicate technical reasoning clearly in writing, including why a solution works and what alternatives were considered. Collaborate with the customer’s team on technical reviews, implementation decisions, and problem-solving exercises. Adapt quickly to new codebases, frameworks, and technical requirements.<br><br>Required Skills And Qualifications<br><br>5+ years of hands-on software engineering experience. Strong experience in at least one backend or full-stack engineering environment, such as Python, Java Script/Type Script, Node.js, Java, C#, . NET, C++, Go, Ruby, PHP, or similar. Experience building, maintaining, or reviewing production-level applications, APIs, services, databases, or integrations. Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs. Ability to explain complex engineering decisions clearly and objectively. Comfortable reading and reasoning through unfamiliar code or technical requirements<br><br>Preferred Qualifications<br><br>Experience with cloud environments such as AWS, GCP, or Azure. Experience with CI/CD pipelines, Dev Ops workflows, containers, monitoring, or production operations. Experience with frontend frameworks such as React, Next.js, Angular, Vue, or React Native. Open-source contributions, public Git Hub work, technical writing, or strong examples of past engineering work. Experience mentoring engineers, reviewing code, or making architecture decisions.

Role:Enterprise AI Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout:$250K - $500K/y<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Enterprise AI to work on a full-time basis. The role involves designing, building, and deploying scalable AI systems for enterprise environments. Candidates will collaborate with cross-functional teams to integrate AI solutions into existing technical infrastructure.<br>Key Responsibilities:• Develop and optimize AI models for enterprise applications, focusing on performance, scalability, and reliability.• Design and implement machine learning pipelines to support data ingestion, processing, and model training.• Collaborate with software engineers to integrate AI components into production systems and APIs.• Evaluate and select appropriate AI frameworks and tools to meet business and technical requirements.• Maintain documentation for AI systems, including architecture diagrams, model specifications, and deployment procedures.<br>Required Skills & Qualifications:• Bachelor's or advanced degree in Computer Science, Engineering, or a related quantitative field.• 5+ years of experience in software development with a focus on AI or machine learning applications.• Proficiency in Python, with experience in frameworks such as Tensor Flow, PyTorch, or JAX.• Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for model deployment and monitoring.• Strong problem-solving skills and ability to design end-to-end AI solutions for complex enterprise challenges.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting | Information Services industry, contributing to the development of cutting-edge AI technologies that drive business transformation. The position provides exposure to high-impact projects and the chance to shape the future of enterprise AI solutions.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role:Technical Research Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout:$220K - $500K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Research Engineering to work on a full-time basis. The role involves advancing research engineering initiatives within the Micro1 platform, focusing on scalable AI solutions and infrastructure optimization. Collaboration with cross-functional teams will drive the development of next-generation research tools.<br>Key Responsibilities:• Design, prototype, and implement research engineering solutions to enhance AI model performance and scalability.• Optimize existing research pipelines to improve computational efficiency and reduce latency in distributed systems.• Collaborate with data science and engineering teams to integrate research findings into production-grade systems.• Conduct performance benchmarking and analyze system bottlenecks to inform architectural decisions.• Document research methodologies, experimental results, and technical specifications for internal stakeholders.<br>Required Skills & Qualifications:• Proficiency in Python, C++, or Rust for high-performance computing and algorithm development.• Experience with distributed computing frameworks such as Apache Spark, Dask, or Ray.• Strong background in machine learning systems, including model optimization and inference acceleration.• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).• Knowledge of linear algebra, optimization techniques, and numerical computing libraries (Num Py, Sci Py).• Ability to write clean, maintainable, and well-documented code for research and production environments.• Experience with version control systems (Git) and collaborative software development workflows.• Understanding of data structures, algorithms, and complexity analysis for scalable system design.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Information Services industry, contributing to the development of AI-driven research platforms. The position focuses on solving complex technical challenges in a dynamic, distributed environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Infrastructure Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $70/hour<br>Role Overview:We are hiring for one of our clients, seeking an Infrastructure Engineer to design, maintain, and optimize cloud and on-premises infrastructure systems. The role involves collaborating with cross-functional teams to ensure high availability, security, and scalability of critical systems. Candidates should have experience with modern infrastructure automation tools and cloud platforms.<br>Key Responsibilities:• Build, deploy, and manage scalable infrastructure using cloud services (AWS, Azure, or GCP) and automation tools (Terraform, Ansible, or Pulumi).• Monitor system performance and troubleshoot issues to minimize downtime and ensure reliability.• Implement and enforce security best practices, including IAM, network policies, and compliance standards.• Automate repetitive tasks to improve operational efficiency and reduce manual intervention.• Work with development teams to optimize infrastructure for cost, performance, and scalability.<br>Required Skills & Qualifications:• Experience with cloud platforms such as AWS, Azure, or GCP and their core services.• Proficiency in infrastructure-as-code tools like Terraform, Cloud Formation, or Pulumi.• Strong scripting skills in languages such as Python, Bash, or Power Shell.• Knowledge of containerization and orchestration tools like Docker and Kubernetes.• Experience with monitoring and logging tools such as Prometheus, Grafana, ELK, or Datadog.• Understanding of networking concepts, including VPC, subnets, load balancers, and firewalls.• Familiarity with CI/CD pipelines and version control systems like Git.• Ability to design and implement disaster recovery and backup strategies.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of high-performance infrastructure systems that support large-scale applications. The contract position provides flexibility to work remotely while solving complex technical challenges.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Job Title: Software Engineering<br><br>Job Type: Contractor (10-12 hours per week)<br><br>Location: Remote<br><br>Job Summary<br><br>We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems.<br><br>No prior AI experience is required. What matters most is strong software engineering judgment, clean technical communication, and the ability to evaluate code, architecture, tradeoffs, and implementation quality.<br><br>Key Responsibilities<br><br>Work on challenging software engineering tasks across backend, full-stack, infrastructure, and systems-related projects. Review, debug, improve, and explain code across different technical environments. Design or evaluate practical solutions involving APIs, databases, services, integrations, testing, and deployment workflows. Identify tradeoffs around scalability, maintainability, performance, reliability, security, and developer experience. Communicate technical reasoning clearly in writing, including why a solution works and what alternatives were considered. Collaborate with the customer’s team on technical reviews, implementation decisions, and problem-solving exercises. Adapt quickly to new codebases, frameworks, and technical requirements.<br><br>Required Skills And Qualifications<br><br>5+ years of hands-on software engineering experience. Strong experience in at least one backend or full-stack engineering environment, such as Python, Java Script/Type Script, Node.js, Java, C#, . NET, C++, Go, Ruby, PHP, or similar. Experience building, maintaining, or reviewing production-level applications, APIs, services, databases, or integrations. Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs. Ability to explain complex engineering decisions clearly and objectively. Comfortable reading and reasoning through unfamiliar code or technical requirements<br><br>Preferred Qualifications<br><br>Experience with cloud environments such as AWS, GCP, or Azure. Experience with CI/CD pipelines, Dev Ops workflows, containers, monitoring, or production operations. Experience with frontend frameworks such as React, Next.js, Angular, Vue, or React Native. Open-source contributions, public Git Hub work, technical writing, or strong examples of past engineering work. Experience mentoring engineers, reviewing code, or making architecture decisions.

Role:Enterprise AI Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout:$250K - $500K/y<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Enterprise AI to work on a full-time basis. The role involves designing, building, and deploying scalable AI systems for enterprise environments. Candidates will collaborate with cross-functional teams to integrate AI solutions into existing technical infrastructure.<br>Key Responsibilities:• Develop and optimize AI models for enterprise applications, focusing on performance, scalability, and reliability.• Design and implement machine learning pipelines to support data ingestion, processing, and model training.• Collaborate with software engineers to integrate AI components into production systems and APIs.• Evaluate and select appropriate AI frameworks and tools to meet business and technical requirements.• Maintain documentation for AI systems, including architecture diagrams, model specifications, and deployment procedures.<br>Required Skills & Qualifications:• Bachelor's or advanced degree in Computer Science, Engineering, or a related quantitative field.• 5+ years of experience in software development with a focus on AI or machine learning applications.• Proficiency in Python, with experience in frameworks such as Tensor Flow, PyTorch, or JAX.• Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for model deployment and monitoring.• Strong problem-solving skills and ability to design end-to-end AI solutions for complex enterprise challenges.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting | Information Services industry, contributing to the development of cutting-edge AI technologies that drive business transformation. The position provides exposure to high-impact projects and the chance to shape the future of enterprise AI solutions.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role:Technical Research Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout:$220K - $500K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Research Engineering to work on a full-time basis. The role involves advancing research engineering initiatives within the Micro1 platform, focusing on scalable AI solutions and infrastructure optimization. Collaboration with cross-functional teams will drive the development of next-generation research tools.<br>Key Responsibilities:• Design, prototype, and implement research engineering solutions to enhance AI model performance and scalability.• Optimize existing research pipelines to improve computational efficiency and reduce latency in distributed systems.• Collaborate with data science and engineering teams to integrate research findings into production-grade systems.• Conduct performance benchmarking and analyze system bottlenecks to inform architectural decisions.• Document research methodologies, experimental results, and technical specifications for internal stakeholders.<br>Required Skills & Qualifications:• Proficiency in Python, C++, or Rust for high-performance computing and algorithm development.• Experience with distributed computing frameworks such as Apache Spark, Dask, or Ray.• Strong background in machine learning systems, including model optimization and inference acceleration.• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).• Knowledge of linear algebra, optimization techniques, and numerical computing libraries (Num Py, Sci Py).• Ability to write clean, maintainable, and well-documented code for research and production environments.• Experience with version control systems (Git) and collaborative software development workflows.• Understanding of data structures, algorithms, and complexity analysis for scalable system design.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Information Services industry, contributing to the development of AI-driven research platforms. The position focuses on solving complex technical challenges in a dynamic, distributed environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Infrastructure Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $70/hour<br>Role Overview:We are hiring for one of our clients, seeking an Infrastructure Engineer to design, maintain, and optimize cloud and on-premises infrastructure systems. The role involves collaborating with cross-functional teams to ensure high availability, security, and scalability of critical systems. Candidates should have experience with modern infrastructure automation tools and cloud platforms.<br>Key Responsibilities:• Build, deploy, and manage scalable infrastructure using cloud services (AWS, Azure, or GCP) and automation tools (Terraform, Ansible, or Pulumi).• Monitor system performance and troubleshoot issues to minimize downtime and ensure reliability.• Implement and enforce security best practices, including IAM, network policies, and compliance standards.• Automate repetitive tasks to improve operational efficiency and reduce manual intervention.• Work with development teams to optimize infrastructure for cost, performance, and scalability.<br>Required Skills & Qualifications:• Experience with cloud platforms such as AWS, Azure, or GCP and their core services.• Proficiency in infrastructure-as-code tools like Terraform, Cloud Formation, or Pulumi.• Strong scripting skills in languages such as Python, Bash, or Power Shell.• Knowledge of containerization and orchestration tools like Docker and Kubernetes.• Experience with monitoring and logging tools such as Prometheus, Grafana, ELK, or Datadog.• Understanding of networking concepts, including VPC, subnets, load balancers, and firewalls.• Familiarity with CI/CD pipelines and version control systems like Git.• Ability to design and implement disaster recovery and backup strategies.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of high-performance infrastructure systems that support large-scale applications. The contract position provides flexibility to work remotely while solving complex technical challenges.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

On behalf of a leading Dubai-based sovereign investor, we are seeking an Associate to join its Public Markets team. The team operates as a fund allocator, investing principally through passive and active equity and hedge fund strategies. This is a portfolio oversight and construction role.<br><br>What you'll do<br>Support the Head of Public Markets on strategic and tactical asset allocation across global equities, fixed income, commodities and liquid alternatives, combining active and passive strategies Build and maintain capital market assumptions, run optimisation, scenario analysis and stress testing, and translate investment beliefs and constraints into portfolio construction rules and policy benchmarks Conduct ex-ante and ex-post risk and performance attribution across asset classes, strategies and managers; identify unintended bets and concentration risk; monitor risk budgets Assist the Head of Public Market with external fund manager and hedge funds selection and oversight Contribute to rebalancing frameworks, derivative overlays and implementation, and track model vs. actual portfolios Build and automate analytics infrastructure (risk systems, optimisers, dashboards, data pipelines) and prepare high-quality analytics packs for the Investment Committee and Board<br> What we're looking for<br>2–4 years in public market passive investing, investment allocation via selected fund managers and hedge funds, portfolio construction, reporting or monitoring — ideally gained at a renowned asset management firm, SWF, family office or consultancy, so you bring established best practices from day one. Strong background in portfolio construction, modelling, analytics, risk management and performance monitoring. Deep understanding of SAA/TAA, capital market assumptions, diversification, factor investing, risk budgeting and optimisation for multi-asset portfolios. Familiarity with risk/factor and attribution tools (Barra, Axioma, Risk Metrics) and market data platforms (Bloomberg, Datastream). Programming and data skills: Python or R, SQL, Excel/VBA. Advanced degree and/or CFA (or working towards) in finance, economics or a related field. Excellent written and verbal communication; able to translate complex analytics into clear executive insight.

On behalf of a leading Dubai-based sovereign investor, we are seeking an Associate to join its Public Markets team. The team operates as a fund allocator, investing principally through passive and active equity and hedge fund strategies. This is a portfolio oversight and construction role.<br><br>What you'll do<br>Support the Head of Public Markets on strategic and tactical asset allocation across global equities, fixed income, commodities and liquid alternatives, combining active and passive strategies Build and maintain capital market assumptions, run optimisation, scenario analysis and stress testing, and translate investment beliefs and constraints into portfolio construction rules and policy benchmarks Conduct ex-ante and ex-post risk and performance attribution across asset classes, strategies and managers; identify unintended bets and concentration risk; monitor risk budgets Assist the Head of Public Market with external fund manager and hedge funds selection and oversight Contribute to rebalancing frameworks, derivative overlays and implementation, and track model vs. actual portfolios Build and automate analytics infrastructure (risk systems, optimisers, dashboards, data pipelines) and prepare high-quality analytics packs for the Investment Committee and Board<br> What we're looking for<br>2–4 years in public market passive investing, investment allocation via selected fund managers and hedge funds, portfolio construction, reporting or monitoring — ideally gained at a renowned asset management firm, SWF, family office or consultancy, so you bring established best practices from day one. Strong background in portfolio construction, modelling, analytics, risk management and performance monitoring. Deep understanding of SAA/TAA, capital market assumptions, diversification, factor investing, risk budgeting and optimisation for multi-asset portfolios. Familiarity with risk/factor and attribution tools (Barra, Axioma, Risk Metrics) and market data platforms (Bloomberg, Datastream). Programming and data skills: Python or R, SQL, Excel/VBA. Advanced degree and/or CFA (or working towards) in finance, economics or a related field. Excellent written and verbal communication; able to translate complex analytics into clear executive insight.

Fuse Energy is an energy startup on a mission to make energy abundant and affordable, fast. We combine first-principles thinking with cutting-edge technology to build a radically better energy system.<br><br>We've raised over $200M from top-tier investors including Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, 20VC, Hummingbird and Collaborative Fund, alongside strategic angels including Nico Rosberg and GPs behind Meta, Revolut, Spotify and Uber.<br><br>We're building a fully integrated energy company: developing our own solar, batteries and other generation projects, building our own hardware, improving and developing grid infrastructure, trading power in real time, using AI across the business, and installing distributed energy in homes. By selling directly to consumers we cut out the middleman, lower costs and pass the savings on to our customers.<br><br>We're hiring a Database Reliability Engineer to own the reliability, performance and scalability of Fuse's data infrastructure. This is a remote role.<br><br>Responsibilities<br><br>Own the reliability, performance and scalability of Fuse's database infrastructure across Postgres and Click House Build and maintain scalable, reliable data pipelines to support analytics, reporting and product needs Own the design and evolution of analytical schemas, translating business logic into structured, intuitive data models Migrate and transform data from Postgres into Click House, ensuring performance and reliability Develop and maintain DBT models that reflect our business domain and make data easily accessible for teams Implement tests and data quality checks to ensure reliable, trustworthy datasets Identify and eliminate duplicates, improve data consistency and enforce clean modelling standards Manage all database and infrastructure changes through IaC, minimising direct DB modifications<br><br>Requirements<br><br>3+ years in a backend engineering or data-focused engineering role Excellent SQL; proficiency in Python and SQL is non-negotiable Hands-on experience with relational databases, particularly Postgres Experience designing schemas and building data models that reflect real-world business logic Familiarity with DBT or similar data transformation frameworks Strong understanding of data validation, testing and quality assurance practices Manages all infrastructure through IaC tooling (Pulumi, AWS CDK), treating the database as code Grasps new business domains quickly, translating unfamiliar logic into clean, intuitive data models Bonus: Click House or columnar databases; cloud-based data orchestration (Dagster, Step Functions); CI/CD for data pipelines and transformations; operating databases at scale in production<br><br>Benefits<br><br>Competitive salary and eligibility for equity Biannual bonus scheme Fully expensed tech to match your needs Private health insurance Breakfast and dinner allowance for office-based employees<br><br>As we hire globally, benefits vary by location.

Deputy Chief Technology Officer (Fintech/Core Developer / Mobile Money Payments) Our client is a Dubai-based technology company operating in the fintech sector, with an active footprint in Africa through its mobile money and payments operations in Guinea. The organisation is focused on delivering innovative digital financial solutions that enhance accessibility, efficiency, and financial inclusion across emerging markets.<br>Role Overview We are looking for a Deputy CTO in leading our client's entire technology organization. You will have end-to-end ownership across software development, infrastructure, platform engineering,and AI adoption, ensuring our digital wallet platform scales reliably across West Africa.<br>This role requires a technology leader who can operate across both the software development and infrastructure layers, manage multiple engineering teams, and drive the adoption of AI toolsand practices across the organization.<br>Job Type: Full Time/Permanent Workplace: Onsite Platforms: High-transaction fintech/payments platform and B2B ordering/trade platform Geographic Context: Multi-country, emerging markets (Africa exposure preferred) Please attach your CV in English<br>Requirements Must have: built core wallet based mobile money payments from scratch, themselves French fluency an added bonus Person should be a developer at their core12+ years of experience in software engineering, with 5+ years in senior engineering leadership roles (VP Engineering, Head of Engineering, CTO, or equivalent). Proven experience leading both software development and infrastructure/platform teams. Strong background in fintech, payments, or digital wallet products. Hands-on understanding of backend systems (Go, Java, Ruby, or Python) and modern frontend/mobile stacks. Experience with AWS cloud-native architectures and managed services. Demonstrated experience implementing AI tools and practices within engineering teams. Experience managing teams of 30+ engineers across multiple disciplines. Strong communication skills with the ability to provide concise, direct answers and articulate technical decisions clearly.<br>Nice to Have Experience with African or emerging market payment ecosystems (mobile money, agent networks). Experience with multi-currency and cross-border payment systems. Startup or high-growth environment experience, particularly scaling from early stage. Familiarity with West African regulatory frameworks (central bank licensing, AML/KYC, data residency). Experience building back office, B2B portals, or e-commerce platforms.<br>Leadership Expectations Own business outcomes, not just engineering output. Be hands-on when needed - capable of diving into architecture, code, or incidents. Drive clarity in ambiguity - make decisions with incomplete information and communicate them crisply. Be a force multiplier through AI - continuously push the team to work smarter through tooling and automation. Build strong partnerships across Product, Risk, Platform, and Business teams.<br><br>Responsibilities <br>Software Development Leadership Lead and manage multiple development teams across backend, frontend, and mobile:Backend: Go (primary for payments), Ruby on Rails, Java, Python Frontend: React.js, Next.js Mobile: Kotlin Multiplatform (KMP), native Android (Kotlin) and i OS (Swift) • Ensure high-quality delivery of fintech products: digital wallet, P2P transfers, payment gateway, merchant payments, lending, and airtime/bill payments. Own the technical roadmap for product development, balancing feature velocity with code quality and technical debt reduction. Experience developing back office portals, B2B platforms, and e-commerce systems is a plus.<br>Infrastructure & Platform Oversight Oversee the cloud infrastructure and platform engineering teams, ensuring stability, scalability, and cost efficiency. Our client runs on AWS managed services. Familiarity with the following is expected: ◦ EKS (Fargate), Aurora Postgre SQL, Elasti Cache Redis, SQS, S3, Lambda ◦ Cloud Front, Kong API Gateway, Cloud Watch, Prometheus, Grafana Cognito, ADOT Collector, Terraform, CI/CD pipelines Ensure the platform supports high TPS workloads with 99.9%+ uptime and cost-optimized operations. Experience with on-premise data centers is a plus but not required.<br>AI Adoption & Engineering Productivity Champion the adoption of AI tools across the engineering organization: ◦ AI-assisted development (Git Hub Copilot, Cursor, Claude Code, or similar) ◦ AI-powered code review and quality assurance AI integration into CI/CD, testing, monitoring, and incident response Drive a culture where AI is embedded in daily engineering workflows, not just experimented with. The more practical examples of AI adoption in development teams you can bring, the better. Explore and implement AI-driven features within our client's products (personalization, fraud detection, risk scoring).<br>Team Management & Organizational Leadership Manage an engineering organization of 30+ engineers across multiple squads (backend, frontend, mobile, platform, QA). Own the hiring strategy for both in-house and outsourced teams, including vendor management and contractor performance. Define and track team KPIs, performance reviews, and career development paths. • Build a high-performance engineering culture with strong ownership, accountability, and delivery predictability.<br>Product & Business Partnership Work closely with Product, Integrations, GTM, Support, and Business teams to translate business goals into technical execution. Represent the engineering organization in leadership and board-level discussions. Ensure engineering priorities are aligned with our clients business roadmap and regional expansion plans.