1 to 25 of 40 Deployment Automation Jobs in the Thames Valley

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 ❯

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 ❯

a fast-paced, agile development team Identify and prioritize opportunities to rapidly deliver new capabilities Build and maintain robust MLOps pipelines to support scalable, reproducible, and automated model development, deployment, and monitoring Leverage tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management, ensuring strong CI/CD practices and model governance More ❯

a fast-paced, agile development team Identify and prioritize opportunities to rapidly deliver new capabilities Build and maintain robust MLOps pipelines to support scalable, reproducible, and automated model development, deployment, and monitoring Leverage tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management, ensuring strong CI/CD practices and model governance 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 ❯

DO VISA SPONSORSHIP FOR THIS ROLE! Description: The DevOps engineer will be required to contribute to version-controlled configuration assets within a DevOps team’s existing fully automated continuous deployment solution, to diagnose and troubleshoot infrastructure and deployment issues and work collaboratively as part of the wider organization. They must be an expert with experience with continuous integration … automated deployment, testing and relevant tooling (Git/GitLab, Jenkins, Ansible, Terraform, Linux, AWS EC2, S3 and EKS are essential) Key responsibilities include: Design and implement automated build and deployment solution for Java based micro service applications utilizing Atlassian Jira/Gillam/Jenkins/Artifactory/Ansible and Terraform Ensuring that the team and client understand operational … responsibility for designing and implementing infrastructure for delivering and running software services Serve as key liaison between management, technical development/QA teams and Operations Discover and capitalize on automation opportunities that provide business value Experienced with large-scale CI/CD implementations and source code implementations Involve in troubleshooting activities to solve technical challenges Monitor progress on projects More ❯

DO VISA SPONSORSHIP FOR THIS ROLE! Description: The DevOps engineer will be required to contribute to version-controlled configuration assets within a DevOps team’s existing fully automated continuous deployment solution, to diagnose and troubleshoot infrastructure and deployment issues and work collaboratively as part of the wider organization. They must be an expert with experience with continuous integration … automated deployment, testing and relevant tooling (Git/GitLab, Jenkins, Ansible, Terraform, Linux, AWS EC2, S3 and EKS are essential) Key responsibilities include: Design and implement automated build and deployment solution for Java based micro service applications utilizing Atlassian Jira/Gillam/Jenkins/Artifactory/Ansible and Terraform Ensuring that the team and client understand operational … responsibility for designing and implementing infrastructure for delivering and running software services Serve as key liaison between management, technical development/QA teams and Operations Discover and capitalize on automation opportunities that provide business value Experienced with large-scale CI/CD implementations and source code implementations Involve in troubleshooting activities to solve technical challenges Monitor progress on projects 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 ❯

system security. Proven ability to design end-to-end Salesforce solutions that scale, maintain performance, and ensure data integrity. Experience integrating Salesforce with third-party platforms (e.g., CPQ, marketing automation, billing systems) using REST/SOAP APIs and middleware tools. Familiar with modern Salesforce DevOps practices — including Git-based version control, automated deployments, and testing frameworks. Strong understanding of More ❯

edge solutions to optimise software development lifecycles and ensure high availability, performance, and compliance of our platforms. This role demands a high level of technical expertise in cloud infrastructure, automation, and containerisation, as well as an ability to quickly resolve complex issues under pressure. You will be responsible for overseeing global cloud infrastructure, implementing scalable CI/CD pipelines … and experience in automating infrastructure to maintain agility in a fast-paced environment. Key Responsibilities CI/CD Pipeline Implementation: Architect, develop, and optimise automated Continuous Integration/Continuous Deployment (CI/CD) pipelines using industry-standard tools (Jenkins, GitLab, Argo). Ensure pipelines follow best practices to expedite software releases, while maintaining high-quality standards and minimizing risks. … for cost. Incident Management & Troubleshooting: Serve as a third-level escalation point for complex platform incidents. Quickly troubleshoot, diagnose, and resolve issues to minimise downtime and ensure operational continuity. Automation & Scripting: Use Python, Bash, or other scripting languages to automate routine tasks such as health checks, system hygiene, monitoring, and service maintenance. Continuously identify and implement automation opportunities More ❯

administrator. Demonstrated ability to design and deliver scalable architecture solutions aligned to business priorities. Understanding of SaaS solutions within a complex enterprise landscape. Familiarity with DevOps methods and automated deployment pipelines. Clear, confident communication skills with the ability to influence and engage stakeholders. Logical, structured approach to technical problem solving and documentation. Desirable Experience Previous leadership or mentoring responsibilities. More ❯

administrator. Demonstrated ability to design and deliver scalable architecture solutions aligned to business priorities. Understanding of SaaS solutions within a complex enterprise landscape. Familiarity with DevOps methods and automated deployment pipelines. Clear, confident communication skills with the ability to influence and engage stakeholders. Logical, structured approach to technical problem solving and documentation. Desirable Experience Previous leadership or mentoring responsibilities. 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 ❯

. Strong in Apex , LWC , SOQL/SOSL , and Salesforce APIs. Hands-on with Sales Cloud , Service Cloud , Experience Cloud , and FSL . Deep understanding of Salesforce data architecture, automation, and security models. Proficient in Salesforce Flows and DevOps practices (Salesforce DX, Git, CI/CD). Salesforce Platform Developer I (PD1) certification (required); PD2 preferred. Analytical, detail-oriented More ❯

Engineer to join the Pathogen Programme at EIT. In this role, you'll help ensure our data platform is built to the highest standards, with a strong emphasis on automation across the development lifecycle. You'll work closely with engineers to deploy data pipelines and platform features, and support bioinformaticians in building and deploying their workflows. You'll be … responsible for maintaining infrastructure, designing secure automation pipelines, managing cloud environments, and ensuring security and compliance. You'll collaborate with cross-functional teams, data engineers, backend, and full-stack developers, to build robust, automated deployment pipelines across our environments. Key Responsibilities Design, implement, and maintain secure cloud infrastructure using Oracle Cloud Infrastructure (OCI). Develop and manage Infrastructure … as Code (IaC) with tools like Terraform to enable secure, repeatable deployments. Implement and manage CI/CD pipelines, focusing on automated security testing, deployment, and monitoring. Ensure all aspects of the data platform OCI infrastructure, data ingest pipelines, tool deployments, access controls, and monitoring are developed, tested, and deployed using automation best practices. Support bioinformaticians in building More ❯

Senior AI Engineer with deep commercial expertise in agentic AI frameworks required to lead the development and production deployment of complex, multi-agent systems. *Current SC Clearance Required* 3 month initial contract term (extensions expected) £550-£700/day Outside IR35 This is a rare opportunity to blend cutting-edge AI research with hands-on, mission-critical infrastructure ownership. … using frameworks like LangGraph, pushing the boundaries of applied AI in production. Full Ownership: Own the entire lifecycle, from research and design in a Jupyter Notebook to robust, automated deployment via CI/CD pipelines. Mission-Critical Impact: Work on solutions deployed in constrained, highly secure environments, delivering reliable performance where it matters most. Influence & Mentor: Play a key … AWS cloud infrastructure using Infrastructure as Code (IaC) tools like Terraform . Ensuring system reliability, security hardening (IAM, GuardDuty), and comprehensive observability for all AI services. Driving zero-touch deployment using CI/CD tools like GitHub Actions and Kubernetes (EKS) for both cloud and edge environments. The Essential Requirements MOD Security Clearance (or ability to obtain). Proven More ❯

Senior AI Engineer with deep commercial expertise in agentic AI frameworks required to lead the development and production deployment of complex, multi-agent systems. Apply promptly! A high volume of applicants is expected for the role as detailed below, do not wait to send your CV. *Current SC Clearance Required* 3 month initial contract term (extensions expected … using frameworks like LangGraph, pushing the boundaries of applied AI in production. Full Ownership: Own the entire lifecycle, from research and design in a Jupyter Notebook to robust, automated deployment via CI/CD pipelines. Mission-Critical Impact: Work on solutions deployed in constrained, highly secure environments, delivering reliable performance where it matters most. Influence & Mentor: Play a key … region AWS cloud infrastructure using Infrastructure as Code (IaC) tools like Terraform. Ensuring system reliability, security hardening (IAM, GuardDuty), and comprehensive observability for all AI services. Driving zero-touch deployment using CI/CD tools like GitHub Actions and Kubernetes (EKS) for both cloud and edge environments. The Essential Requirements MOD Security Clearance (or ability to obtain). Proven 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 ❯

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 ❯

Data Engineer London (five days per week on site) £65-75k (dependent on experience) The Highlights This global logistics business, based in central London, is undergoing an exciting data transformation programme as it invests in a new team charged More ❯

Senior Backend Engineer – Python & DevOps Hybrid (London | 3 days per week) £70,000 – £130,000 + Equity + Benefits Digitech are exclusively partnered with a high-growth AI SaaS start-up operating globally. The company has launched a state-of More ❯

with an outstanding level of technical support. This is not a pure support role though - there is also an equally important element to the role which is centred around automation, and identifying areas where the team can automate to reduce the load on the team. They want someone who is an engineer at heart, who can write code to … areas including development, testing and deployment. You will need to have supported a trading desk before, and have a proven track record of building and maintaining automated tools for deployment, health checks, alerts, and runbooks. To be right for this, you need to have the following skill set: Technical Support experience on a real-time trading system Experience working … with Linux (navigating/commands etc), Windows, Docker, AWS Bash/Python scripting experience Automation/CI/CD: Git, TeamCity, Ansible Database technologies - SQL Server & Snowflake (advantageous) This is a fantastic opportunity to join a highly respected hedge fund. You will be expected to be onsite 4 days a week and the role will pay up to £100k More ❯

Job Description We’re looking for a Solution Architect to join our Group Technology Team in Milton Keynes. Our Solution Architect will proactively lead and support architecture activities that guide the development and management of a portfolio of solutions with 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 ❯