1 to 25 of 35 Deployment Automation Jobs in the South East

to design and implement cloud platforms supporting microservices and containerised workloads. CI/CD Pro: Proven experience with tools like GitHub, GitLab, or AWS DevOps Tooling, and expertise in deployment automation/orchestration. Networking Knowledge: Familiarity with Virtual Networks, DNS, Gateways, Load Balancers and more. Security Expert: Understanding of IAM, WAF, and KMS. Experience implementing best practices for … with industry standards and regulations. Bonus points for experience with a compliance framework (ISO27001, PCI-DSS). Infrastructure-as-Code: Mastery of Terraform, CloudFormation, CDK or equivalent tools. Scripting & Automation: Skills in a scripting language like Python, Ansible, Bash, Groovy, Powershell, or similar. Bonus points if you share your GitHub repo! Other Nice To Haves Azure or Google Cloud More ❯

/.NET 9) with a focus on clean architecture and maintainability Full-Stack Delivery: Implement front end components in React and Next.js, integrating seamlessly with your C# APIs. DevOps & Deployment: Containerize applications with Docker, orchestrate with Kubernetes, and manage GitOps deployments using ArgoCD. Cloud Infrastructure: Leverage Microsoft Azure services (App Services, Functions, AKS, SQL Database, etc.) to host, scale More ❯

/.NET 9) with a focus on clean architecture and maintainability Full-Stack Delivery: Implement front end components in React and Next.js, integrating seamlessly with your C# APIs. DevOps & Deployment: Containerize applications with Docker, orchestrate with Kubernetes, and manage GitOps deployments using ArgoCD. Cloud Infrastructure: Leverage Microsoft Azure services (App Services, Functions, AKS, SQL Database, etc.) to host, scale 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 ❯

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 ❯

identify high-impact opportunities for rapid capability delivery. You'll also be responsible for building robust MLOps pipelines using tools like Airflow and MLflow, ensuring scalable and automated model deployment and governance. What you'll need to succeed Essential Skills: * Bachelor's degree (2:1 or above) in science, engineering, mathematics, or computer science * Strong Python development skills * Practical 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 ❯

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 ❯

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 ❯

Agile delivery teams. Key Responsibilities Design and build modern web applications using React, TypeScript, CSS, Jest/Vitest, Webpack, and Ag Grid. Apply modern JavaScript coding, testing, debugging, and automation techniques. Contribute to the creation and optimisation of CI/CD pipelines and deployment practices. Collaborate with global teams on solution design, technical delivery, and integration with APIs … VSTS – CI/CD build and release pipelines. Cloud experience, particularly Microsoft Azure . Agile delivery (Scrum, Kanban). Strong knowledge of software design principles and patterns. Familiarity with deployment and automation tools (e.g., Jenkins, Docker, Git). Solid grounding in Computer Science fundamentals (data structures, algorithms, system design) If you are interested and keen to find out More ❯

security of the SaaS platform. This role is ideal for someone who enjoys building robust, secure infrastructure, thrives in regulated environments, and brings a forward-thinking mindset to infrastructure automation and platform scalability. Key Responsibilities Infrastructure as Code (IaC): Architect and manage infrastructure using Terraform and related IaC tooling to ensure repeatable, secure, and auditable environments. Cloud Platform Management … load balancing, and caching strategies. CI/CD Pipeline Development: Build and maintain modern CI/CD pipelines using GitHub Actions or equivalent tooling, enabling automated testing, integration, and deployment across multiple environments. Observability & Monitoring: Implement and manage monitoring, logging, and alerting solutions to ensure full visibility into infrastructure and application performance. (e.g., CloudWatch, Prometheus, Grafana) Security & DevSecOps: Embed … security best practices across all stages of infrastructure and deployment, including secrets management, vulnerability scanning, and secure networking. Cross-Team Collaboration: Work closely with engineering, data, and security teams to ensure alignment on deployment standards, architecture, and automation strategy. Documentation & Knowledge Sharing: Maintain clear and comprehensive documentation of systems, processes, and configurations. Support internal enablement and operational More ❯

security of the SaaS platform. This role is ideal for someone who enjoys building robust, secure infrastructure, thrives in regulated environments, and brings a forward-thinking mindset to infrastructure automation and platform scalability. Key Responsibilities Infrastructure as Code (IaC): Architect and manage infrastructure using Terraform and related IaC tooling to ensure repeatable, secure, and auditable environments. Cloud Platform Management … load balancing, and caching strategies. CI/CD Pipeline Development: Build and maintain modern CI/CD pipelines using GitHub Actions or equivalent tooling, enabling automated testing, integration, and deployment across multiple environments. Observability & Monitoring: Implement and manage monitoring, logging, and alerting solutions to ensure full visibility into infrastructure and application performance. (e.g., CloudWatch, Prometheus, Grafana) Security & DevSecOps: Embed … security best practices across all stages of infrastructure and deployment, including secrets management, vulnerability scanning, and secure networking. Cross-Team Collaboration: Work closely with engineering, data, and security teams to ensure alignment on deployment standards, architecture, and automation strategy. Documentation & Knowledge Sharing: Maintain clear and comprehensive documentation of systems, processes, and configurations. Support internal enablement and operational More ❯

security of the SaaS platform. This role is ideal for someone who enjoys building robust, secure infrastructure, thrives in regulated environments, and brings a forward-thinking mindset to infrastructure automation and platform scalability. Key Responsibilities Infrastructure as Code (IaC): Architect and manage infrastructure using Terraform and related IaC tooling to ensure repeatable, secure, and auditable environments. Cloud Platform Management … load balancing, and caching strategies. CI/CD Pipeline Development: Build and maintain modern CI/CD pipelines using GitHub Actions or equivalent tooling, enabling automated testing, integration, and deployment across multiple environments. Observability & Monitoring: Implement and manage monitoring, logging, and alerting solutions to ensure full visibility into infrastructure and application performance. (e.g., CloudWatch, Prometheus, Grafana) Security & DevSecOps: Embed … security best practices across all stages of infrastructure and deployment, including secrets management, vulnerability scanning, and secure networking. Cross-Team Collaboration: Work closely with engineering, data, and security teams to ensure alignment on deployment standards, architecture, and automation strategy. Documentation & Knowledge Sharing: Maintain clear and comprehensive documentation of systems, processes, and configurations. Support internal enablement and operational 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 ❯

Job Title: Endur Technical Architect Location: 60/40 with 3 days in Canary Wharf OR Remote Start Date: ASAP Contract Length/End Date: 31st December with possibility of extension Working hours: 40 hrs/week Role Overview Work More ❯

ll Be Doing As a Senior DevOps Engineer, you'll be at the heart of designing and evolving scalable, secure AWS cloud infrastructure. You'll lead initiatives that drive automation, resilience, and performance across mission-critical systems. Your mission includes: Architecting and maintaining AWS cloud environments Managing Kubernetes clusters (plus Docker & Helm) Building CI/CD pipelines and automated … deployment tools Driving observability with tools like CloudWatch, ELK, and Grafana Mentoring junior engineers and shaping DevOps best practices Ensuring security, compliance, and disaster recovery readiness What You Bring You're a tech-savvy problem solver with a passion for DevOps and cloud engineering. You love working collaboratively and pushing boundaries. Your toolkit includes: AWS expertise and Infrastructure as More ❯

DEVOPS ENGINEER £85,000 + BONUS EUSTON (Hybrid) Looking for a role where you can own cloud BI deployments, shape best practices, and be the go-to person for automation and infrastructure in a growing data function? THE COMPANY: I'm working with a major multinational organisation in the gaming and entertainment sector, with operations across several European markets. … newly created role to help them get there. THE ROLE: This is a hands-on role where you'll sit at the heart of BI, architecture, and engineering, owning deployment and infrastructure processes as the team's first dedicated BI Cloud Specialist. Manage deployments from dev to test to production using GitHub Actions and Terraform Design and build automated … infrastructure-as-code solutions Take ownership of deployment pipelines within the BI team Support the rollout of a new self-service data platform for business users Play a key role in future projects such as developing an AI platform Act as the subject matter expert for infrastructure automation and deployment best practice YOUR SKILLS AND EXPERIENCE: A More ❯

Lead Technical Architect ££85,000 - £100,000 GBP Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Role: Lead Technical Architect Work Type & Location: London (Hybrid) Role Type: Permanent Salary: £85,000 - £100,000 Our client, a top More ❯

based services. You will play a key role in shaping and executing our cloud operations strategy, working closely with cross-functional teams to proactively identify and resolve issues, implement automation and monitoring solutions, and drive continuous improvement across our infrastructure. Your leadership will be instrumental in fostering a high-performing, innovative engineering culture, optimising system performance, and minimising downtime. … on engineering work. Collaborate closely with cross-functional teams to proactively identify, troubleshoot, and resolve issues within the cloud environment. Drive the implementation and management of advanced monitoring tools, automation frameworks, and best practices to enhance system resilience and operational efficiency. Monitor and optimise cloud infrastructure usage to ensure cost efficiency, maintaining spend within agreed budgets. Ensure the optimal … What you'll need to succeed Essential: Experience in a leadership role, including mentoring, developing team members and promoting good governance practices. Strong technical expertise in cloud infrastructure design, deployment (Cl/CD), automation, and cloud-native technologies. In-depth experience with Microsoft Azure, including architecture, services, and operational best practices. Proven experience in a management role, with More ❯

based services. You will play a key role in shaping and executing our cloud operations strategy, working closely with cross-functional teams to proactively identify and resolve issues, implement automation and monitoring solutions, and drive continuous improvement across our infrastructure. Your leadership will be instrumental in fostering a high-performing, innovative engineering culture, optimising system performance, and minimising downtime. … on engineering work. Collaborate closely with cross-functional teams to proactively identify, troubleshoot, and resolve issues within the cloud environment. Drive the implementation and management of advanced monitoring tools, automation frameworks, and best practices to enhance system resilience and operational efficiency. Monitor and optimise cloud infrastructure usage to ensure cost efficiency, maintaining spend within agreed budgets. Ensure the optimal … What you'll need to succeed Essential: Experience in a leadership role, including mentoring, developing team members and promoting good governance practices. Strong technical expertise in cloud infrastructure design, deployment (Cl/CD), automation, and cloud-native technologies. In-depth experience with Microsoft Azure, including architecture, services, and operational best practices. Proven experience in a management role, with 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 ❯