1 to 25 of 33 Deployment Automation Jobs in the City of London

optimal setup, configuration, maintenance, and security of both the development and production environments, ensuring that IT systems and infrastructures are reliable, scalable, and secure. Key Responsibilities Leadership Environment Management: Deployment & Automation: Performance & Scalability: Security & Compliance: Collaboration & Stakeholder Management: Documentation & Reporting: Incident Management & Problem Resolution: Capacity Planning: Escalate issues as appropriate. Manage assigned risks and issues. Adhere to change … in a leadership or managerial role. Experience managing complex IT environments, including development, testing, staging, and production setups. Hands-on experience with cloud services (AWS, Azure, GCP) and infrastructure automation tools (e.g., Terraform, Ansible, Puppet, Chef). Experience with containerisation (e.g., Docker, Kubernetes) and microservices architectures is a plus. Skills: Strong knowledge of IT infrastructure, virtualisation technologies, and network … management. Proficiency in scripting and automation (e.g., Bash, Python, PowerShell). Familiarity with CI/CD pipelines and deployment automation. Experience with environment monitoring tools (e.g., Prometheus, Nagios, Datadog). Knowledge of security best practices and compliance standards in IT environments. Excellent problem-solving, troubleshooting, and analytical skills. Strong communication skills, with the ability to collaborate across technical More ❯

in Bucharest, Bangalore, and Hyderabad. All teams follow an Agile delivery model in partnership with our business stakeholders to deliver multi-asset-class commodity systems with a focus on automation, user experience, optimization, innovation, and control. The Role This is a fantastic opportunity to join one of the largest integrated energy and commodity trading companies in the world. We … production-grade ML/AI pipelines. Implement and maintain CI/CD pipelines, testing frameworks, and observability tools for data engineering workflows. Contribute to MLOps practices, including model tracking, deployment, and monitoring using MLflow and Databricks tools. Participate in code reviews, data modeling sessions, and collaborative solutioning across cross-functional teams. Ensure compliance with data governance, security, and performance … Exposure to streaming data pipelines (e.g., Kafka, Structured Streaming) and real-time analytics architectures is a strong plus. Experience implementing robust DevOps practices for data engineering: versioning, testing frameworks, deployment automation, monitoring. Familiarity with data governance, access control, and regulatory compliance requirements in financial or trading environments. Excellent communication and problem-solving skills, with a strong sense of More ❯

teams to incorporate emerging technologies and trends. Stay up-to-date with the latest cloud computing, DevOps, and IT trends. Operational Efficiency and Scalability: Design and implement automated testing, deployment, and monitoring pipelines. Develop and maintain a robust CI/CD workflow for efficient release management. Implement scalable infrastructure solutions to support business growth. Stakeholder Engagement and Communication: Collaborate More ❯

understanding of RESTful APIs, microservices, and distributed system design. You have knowledge of SQL and NoSQL databases. You are experienced in CI/CD pipelines, automated testing, and modern deployment practices. You are a skilled mentor with the ability to influence technical direction across teams. You have strong problem-solving skills, balancing technical, product, and delivery considerations. You are More ❯

understanding of RESTful APIs, microservices, and distributed system design. You have knowledge of SQL and NoSQL databases. You are experienced in CI/CD pipelines, automated testing, and modern deployment practices. You are a skilled mentor with the ability to influence technical direction across teams. You have strong problem-solving skills, balancing technical, product, and delivery considerations. You are More ❯

. Desirable skills/knowledge/experience: Azure certifications (e.g., AZ-305, AZ-104). Experience with Azure DevOps, Infrastructure as Code (ARM/Bicep/Terraform), and automated deployment pipelines. Understanding of Azure security best practices, including identity and access management (Azure AD), role-based access control (RBAC), and data protection strategies. Good communication and negotiation skills. Rewards More ❯

Design (DDD), Mediator, Repository, Dependency Injection - Experience in writing unit and end-to-end (E2E) tests - Understanding of virtualization and containerization technologies - Familiarity with CI/CD pipelines and deployment automation - Experience with cloud platforms such as Azure, AWS, Google Cloud - Experience with NoSQL databases (a plus) What's on offer: Competitive Salary Annual Bonus Pension Hybrid working More ❯

JavaScript, HTML/CSS). Understanding of responsive design, accessibility, and UX best practices. Experience with Docker, AWS, and CI/CD pipelines. Knowledge of Git, version control, and deployment automation. Familiarity with REST APIs, SQL optimisation, or async programming is a plus. This is an exciting opportunity to work on cutting-edge projects that combine data, AI, and More ❯

also build and implement APIs and data services to expose the data to other teams across the business and work with IaC (Terraform) and CI/CD pipelines for deployment and automation. Location/WFH: You'll be able to work from home/remotely fulltime, with the caveat that'll join the team in London once a month More ❯

workflows, optimizing CI/CD pipelines, and ensuring reliable, scalable, and secure software delivery. This role requires a deep understanding of cloud infrastructure, API management, and continuous integration and deployment practices. Candidate should be SC Cleared/SC Eligible Responsibilities Build, deploy, and monitor solutions using AWS services such as Lambda, API Gateway, CloudWatch, ECS, ECR, DynamoDB, and S3. … manage the end-to-end application lifecycle using Apigee Edge and X-API strategy. Perform API strategy execution, provide technical support, and generate insights through analytical reports. Manage infrastructure automation, monitoring, and optimization to ensure high performance and reliability. Collaborate with cross-functional teams to improve system efficiency, scalability, and deployment automation. Troubleshoot and resolve system and integration … Code tools (e.g., Terraform, Ansible). Strong proficiency in AWS cloud tools and architecture, including deploying microservices using ECS, ECR, and Fargate. Experience with Python scripting and Docker for automation and containerization. Proven experience in setting up and managing Azure DevOps CI/CD pipelines. Solid understanding of build and deployment methodologies for distributed systems. Experience with enterprise More ❯

Role Responsibilities: Administer and manage DevOps environment. Work with developers to implement pipelines and releases for Digital platforms using cloud-based services either from AWS or Azure and orchestration tools based on requirements. Help implement the bank’s strategic aims More ❯

understanding of software development life cycle (SDLC) and testing methodologies. Experience with test planning, execution, and defect management. Familiarity with CI/CD pipelines and integrating automated tests into deployment workflows. Strong analytical skills and attention to detail. Excellent communication and collaboration skills, capable of working with both technical and non-technical stakeholders. Experience working in regulated industries (finance More ❯

understanding of software development life cycle (SDLC) and testing methodologies. Experience with test planning, execution, and defect management. Familiarity with CI/CD pipelines and integrating automated tests into deployment workflows. Strong analytical skills and attention to detail. Excellent communication and collaboration skills, capable of working with both technical and non-technical stakeholders. Experience working in regulated industries (finance More ❯

and implement distributed systems for async processing, ML workflows, and asset pipelines. Own authentication, billing, and subscription systems — ensuring reliability and seamless user experience. Drive observability, performance tuning, and deployment automation across the stack. Collaborate closely with product, frontend, and ML teams to deliver features that delight and scale. You should have 5+ years of experience developing production More ❯

and implement distributed systems for async processing, ML workflows, and asset pipelines. Own authentication, billing, and subscription systems — ensuring reliability and seamless user experience. Drive observability, performance tuning, and deployment automation across the stack. Collaborate closely with product, frontend, and ML teams to deliver features that delight and scale. You should have 5+ years of experience developing production More ❯

to maintain compliance with Client’s requirements. Implement Infrastructure as Code (IaC) practices using Terraform and related tools to automate environment provisioning. Collaborate with cross-functional teams to improve deployment pipelines, CI/CD processes, and monitoring systems. Ensure all infrastructure changes align with security, compliance, and performance standards. Required Skills Strong experience in infrastructure automation, Azure Devops … Terraform configurations and dependencies. Should have experience in testing Terraform infrastructure code. Should have experience in creating automated machine images for multiple platforms. Strong knowledge in configuration management and deployment automation. Hands-on experience in CI/CD pipelines and version control. Experience in building and managing distributed streaming platforms. Solid understanding of Azure services, networking, and cloud resource … management. Experience with Docker and container orchestration tools (e.g., Kubernetes) preferred. Strong troubleshooting, scripting (e.g., Bash, Python), and automation mindset. More ❯

Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity with CI/CD pipelines and deployment automation. Strategic thinking around architecture and trade-offs. If interested please get in touch ASAP More ❯

Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity with CI/CD pipelines and deployment automation. Strategic thinking around architecture and trade-offs. If interested please get in touch ASAP More ❯

/Sub & Cloud Run Build and optimise Python code for high-performance backend systems Integrate APIs, enrich Data, and deliver robust, scalable Data pipelines Implement modern IaC practices for deployment and automation Leverage AI and tooling of your choice to boost workflow efficiency and deliver innovative Product features Autonomy & Ambiguity - discover, design, and build without micromanagement. Professional Development More ❯

delivery. The successful candidate will define and execute the Copilot strategy, build an innovation pipeline for AI productivity use cases, and work closely with senior stakeholders globally to embed automation and efficiency across the business. Key Responsibilities Develop and implement a comprehensive Copilot and AI innovation strategy for the enterprise. Lead automation discovery to proactively identify and assess … AI and automation opportunities across business processes, focusing on measurable efficiency and business value. Conduct detailed process analysis to evaluate feasibility and potential benefits of automation initiatives. Design solutions by creating detailed Process Design Documents (PDDs) and defining requirements for Robotic Process Automation (RPA), AI, and Natural Language Processing (NLP) solutions. Collaborate closely with process Subject Matter … Experts (SMEs) and automation developers to optimise and redesign business processes. Build and manage an innovation pipeline for Copilot and AI use cases outside traditional development functions. Identify, prioritize, and drive productivity improvements across project management, QA, and documentation. Partner with senior global stakeholders (London and New York) to evangelize AI-driven transformation initiatives. Establish metrics and success criteria More ❯

of cross-functional delivery teams working on technically complex, high-impact AI projects. You’ll play a central role in designing and building the ML architecture (from infrastructure and deployment to tooling and automation) to ensure that solutions are not only technically sound, but also scalable, maintainable, and secure. This is a hands-on role with scope for … stakeholders often embedded within mission-critical delivery environments. Key Responsibilities Lead the design and build of production-ready machine learning pipelines and systems Develop infrastructure and tooling to enable deployment, monitoring, and retraining of ML models Work across the full AI delivery lifecycle, from architecture and integration to performance optimisation Collaborate with customers and stakeholders to understand operational constraints More ❯

cross-region, multi-format data stores (columnar, real-time, etc.) Deliver tailored solutions directly to quants and traders – real impact, real visibility Take the lead on cloud infra design , deployment, and automation What You Bring 5+ years building data platforms in systematic trading, fintech, or high-throughput environments Mastery of Python and SQL – C++ is a plus Experience More ❯

closely with leading researchers and product strategists to refine MVPs, prototype innovative workflows and accelerate iterations to production • Scale and optimise infrastructure to support high throughput training, inference and deployment of both multi agent reinforcement learning systems and enormous language models • Implement robust MLOps best practices including data pipelines, model versioning, monitoring, automated deployment and continuous integration • Drive … end to end ownership from ideation to deployment, performance and scaling • Mentor future hires and define scalable engineering culture, processes and tooling Candidate Profile • Proven track record (five plus years) in engineering roles involving scalable, machine learning intensive systems whether via start ups or technology critical environments • Deep familiarity with large scale model training and production deployment, especially More ❯

closely with leading researchers and product strategists to refine MVPs, prototype innovative workflows and accelerate iterations to production • Scale and optimise infrastructure to support high throughput training, inference and deployment of both multi agent reinforcement learning systems and enormous language models • Implement robust MLOps best practices including data pipelines, model versioning, monitoring, automated deployment and continuous integration • Drive … end to end ownership from ideation to deployment, performance and scaling • Mentor future hires and define scalable engineering culture, processes and tooling Candidate Profile • Proven track record (five plus years) in engineering roles involving scalable, machine learning intensive systems whether via start ups or technology critical environments • Deep familiarity with large scale model training and production deployment, especially More ❯

Senior Full Stack Developer Hybrid (London, Cambridge, or Bristol – 3 days per week) Up to £100,000 + 5% Bonus + Benefits Are you a talented Full Stack Developer looking to work at the forefront of AI and software innovation More ❯