12 of 12 Deployment Automation Jobs in Berkshire

will be embedded within the company’s engineering teams to co-deliver reusable, production-ready platform components, Infrastructure as Code (IaC), CI/CD automation, observability, resilience, and FinOps practices aligned to the client's backlog and sprint cadence. The role will support secure, scalable, and cost-effective cloud … Reusable Templates: Build and refine reusable Azure platform templates and engineering patterns that can be adopted consistently across workloads and environments. CI/CD & Automation: Implement and improve CI/CD pipelines, deployment automation, environment management, and release practices for key platform services. Operational Excellence: Embed observability ...

scalable delivery pipelines. Working closely with software engineers, platform specialists and test teams, you'll help drive continuous improvement across CI/CD, infrastructure automation and deployment processes while enabling fast, repeatable and dependable software releases. Key Responsibilities Design, build and maintain robust CI/CD pipelines … automate software build, testing and release processes. Develop and improve deployment and upgrade automation using Infrastructure as Code principles. Build and manage development, integration and pre-production environments. Automate environment provisioning to ensure consistency and repeatability. Create and maintain monitoring, health checks and deployment reporting across multiple ...

managing Kubernetes environments, and implementing Infrastructure as Code (IaC) solutions. Working closely with architecture, software engineering, cloud, and cybersecurity teams, you'll help drive automation, platform reliability, and secure application delivery across complex enterprise environments. Key Responsibilities Implement and maintain DevSecOps solutions aligned with approved architectures and engineering standards. … validation, and deployment. Deploy, manage, and optimise Kubernetes clusters and containerised workloads across multiple environments. Implement Infrastructure as Code using Terraform, Ansible, or similar automation technologies. Configure deployment automation, release management, and GitOps workflows. Integrate security tooling into CI/CD pipelines, including code analysis, container scanning ...

frameworks, and reusable data products Drive best practice across Data Engineering, DataOps, and DevOps Implement CI/CD pipelines, Infrastructure as Code, and automated deployment processes Ensure data quality, governance, security, lineage, and compliance across enterprise platforms Collaborate with architects, software engineers, analysts, and business stakeholders to deliver high ...

ready cloud capabilities that will underpin future digital services. Working alongside an established engineering team, you'll deliver reusable platform components, Infrastructure as Code, automation and engineering best practices while supporting the ongoing development of a modern enterprise cloud platform. If you're passionate about Azure platform engineering, automation … Azure-native tooling. Create reusable Azure platform templates and engineering patterns to support consistent platform adoption. Build and improve CI/CD pipelines, deployment automation and release processes. Implement observability, monitoring, logging, resilience and operational readiness across the platform. Embed FinOps principles, improving cloud cost visibility and optimisation. ...

Rate: £460 per day inside IR35 Duration: 6 months initially Role Overview Our client is seeking an experienced Azure MLOps Engineer to support the deployment, automation, and management of machine learning solutions within Azure. Working closely with architects, data scientists, forecasting teams, developers, and DevOps engineers, you will ...

product‐led way of working that brings engineers, data specialists and business experts together to deliver meaningful outcomes at pace. We’re scaling automation and AI from proof‐of‐concept into real, end‐to‐end change - improving customer journeys, reducing cost‐to‐serve, accelerating delivery, and building the digital … Experience Strong expertise in React Native and modern mobile application development. Proven experience delivering and supporting mobile applications through the full development lifecycle, including deployment to the Apple App Store and Google Play Store. Experience building robust automated testing strategies, including unit and integration testing. Strong understanding of mobile ...

quality practices into discovery, design, build, test, release and operational readiness activities. Consistent standards and evidence: Establishing shared expectations for test strategy, acceptance criteria, automation, regression, release readiness, test evidence and quality gates so that teams can demonstrate what has been tested and why it is safe to proceed … clear expectations, strong professional standards and meaningful opportunities to grow. Establish common quality standards: Define practical standards for test strategies, acceptance criteria, test data, automation, regression, exploratory testing, non-functional testing, release readiness and evidence capture across Engineering teams. Improve release confidence and change safety: Partner with Engineering, Delivery ...

DevOps Engineer, you will play a critical role in enabling the successful delivery of digital products by building and maintaining robust, automated infrastructure and deployment pipelines. Working closely with product engineering, security, and platform teams , you will help accelerate product delivery, improve system reliability, and enhance the overall user … through modern DevOps practices. This role will suit someone passionate about product-driven engineering , platform scalability, and continuous innovation. Key Responsibilities Support the build, deployment, and operation of customer-facing digital products Design and manage scalable infrastructure across cloud and containerised environments (AWS, Kubernetes, VMware) Enable fast, reliable product ...

Newbury. You will work on a high-profile platform initiative (TaaZure), co-delivering reusable, production-ready platform capabilities, Infrastructure as Code, CI/CD automation, and FinOps practices. We are offering flexibility on engagement - you can join either as a Permanent Employee with the consultancy … Delivery: Design and build production-ready IaC using Terraform and Terragrunt, creating modular, reusable Azure platform templates and landing zone patterns. CI/CD & Automation: Build and refine automated deployment pipelines, environment management, and release practices. Platform Quality: Embed observability (monitoring, logging, alerting), resilience, security, and FinOps principles ...

availability database environment that supports a sophisticated operational software platform. This is an opportunity to join an innovative engineering team where reliability, performance and automation are central to delivering cutting-edge technology. Working closely with software engineers, platform specialists and data teams, you'll ensure the database layer remains … Responsibilities Own the design, administration and ongoing optimisation of production MariaDB/MySQL databases. Develop and manage robust database schema migrations with safe deployment, validation and rollback processes. Monitor, analyse and optimise database performance in high-volume, write-intensive environments. Design and maintain backup, recovery and data retention strategies ...

Monitor model performance, health, and reliability in production. Implement logging, monitoring, and alerting solutions. Optimize infrastructure for scalability, performance, and cost efficiency. Implement automated deployment and scaling strategies. Manage Azure cloud resources supporting ML workloads. Ensure security, governance, and compliance with data protection standards. Manage data pipelines, storage, versioning … NoSQL databases. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience monitoring and supporting production ML models. Knowledge of infrastructure automation and scalable cloud architectures. Experience supporting Real Time inference using Azure Machine Learning. Desirable Skills Azure Data Scientist Associate certification. Experience with data engineering ...