7 of 7 Deployment Automation Jobs in Surrey

support and automate customer infrastructure and software solutions across on-premises, cloud and hosted environments. This role combines technical project delivery, infrastructure consultancy, software deployment and deployment automation, and customer support, working closely with internal teams and customers to ensure successful implementations and service excellence. Key Responsibilities … Design, deploy and support customer infrastructure solutions across Windows and Azure environments. Develop and maintain software deployment and infrastructure automation using Azure DevOps, YAML and PowerShell. Diagnose and resolve complex infrastructure issues involving networking, storage, virtualisation, security and connectivity. Produce high-quality technical documentation, including design documents, training ...

practices. Design robust, secure, scalable, highly available, and fault-tolerant solutions on AWS.Lead and participate in the implementation of cloud solutions, including infrastructure setup, deployment automation, and application migration projects from on-premises or other cloud environments. Implement cloud governance policies, including cost management, security controls, identity … cloud environments meet security best practices and regulatory requirements. Continuously monitor and optimize cloud infrastructure for performance, reliability, and cost-effectiveness. Identify opportunities for automation and improvement. Provide expert technical guidance and mentorship to engineering, operations, and development teams on cloud-related topics. Act as a subject matter expert ...

shape project scope Design, implement, and manage AWS cloud infrastructure solutions Develop and maintain CI/CD pipelines for automated build, test, and deployment processes Monitor system performance and reliability, troubleshoot issues, and implement solutions Collaborate with cross-functional teams to define infrastructure requirements and implement best practices Stay ...

flagship SaaS platform. This is a genuinely high-scale engineering environment. The platform processes over 32 million requests every day , operates across 5 global deployment nodes and runs against a 99.95% availability SLA . The challenge is not simply building new infrastructure. You will be helping evolve an established … Ensure the platform continues to meet its 99.95% availability SLA • Improve scalability, resilience and operational reliability • Automate infrastructure and platform changes through Terraform • Improve deployment processes and reduce the risk of downtime • Troubleshoot platform, networking and workload issues in production • Improve monitoring, observability and operational processes • Work closely with ...

Senior DevOps Engineer to join our global SaaS platform team. You will help evolve Radar Live SaaS, applying IaC, CI/CD, cloud automation, and SRE practices to ensure reliability and security at scale. You’ll work across Dev, Ops, Security and Architecture in an Agile environment, building automated ...

performant data, from ingestion through to consumption by various teams. We work on key projects involving data pipeline development, platform management, model training and deployment, data quality assurance and customised data tooling.What You'll Be Doing ð️Design, build, and maintain scalable and resilient data pipelines and infrastructure, using Python … custom data transformations, API integrations, and orchestration.Implement and manage data platforms leveraging Kubernetes for efficient deployment, orchestration, and scaling of data services and applications.Own the flow and security of data in our Snowflake data warehouse, ensuring optimal data delivery architecture and availability for global business operations and data science ...

Services Consultant to deliver, deploy, and automate customer infrastructure across on-premises, cloud, and hosted environments. You will combine project delivery, infrastructure consultancy, software deployment, and automation while supporting customers for successful implementations. The role emphasizes Azure, Windows infrastructure, and DevOps practices, with opportunities to apply AI tooling ...