Senior DevOps Engineer - Cloud & Platform

OverviewCheck you match the skill requirements for this role, as well as associated experience, then apply with your CV below.We’re partnering with a high‑growth, category‑leading enterprise technology company that is transforming how scientific and technical organisations manage, operationalise, and derive value from complex data. The company is building next‑generation, cloud‑native data and AI platforms used by global enterprise customers and is widely recognised as a leader within its space, working closely with major cloud, data, and AI infrastructure providers. This is an opportunity to join a technically strong, product‑led team working at scale on mission‑critical platforms. What You’ll Do Collaborate closely with product and engineering teams across the full software lifecycle, from design and build through deployment and operations Work directly with customers to deploy, integrate, and troubleshoot the platform within their AWS environments Build and maintain infrastructure‑as‑code using tools such as CloudFormation and Terraform Develop automation tooling using Python and supporting frameworks to improve reliability, scalability, and efficiency Design and maintain monitoring, alerting, and self‑healing systems ahead of production releases Own and operate internal AWS environments, ensuring performance, security, and cost optimisation Partner with solution architects during customer discussions to support technical integration and deployment questions Maintain clear, up‑to‑date documentation covering deployments, processes, and best practices What We’re Looking For Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience 5+ years of experience in DevOps, Platform Engineering, or a similar role Strong hands‑on experience with AWS (certification preferred) Proficiency in Python (preferred) or another backend language such as Java or Go Deep experience with infrastructure‑as‑code, ideally using CloudFormation Experience supporting AI‑enabled platforms, including ML or LLM‑driven systems Strong background in cloud‑native architectures, automation, and infrastructure provisioning Experience xywuqvp building and operating CI/CD pipelines (e.g. GitHub Actions, AWS CodeDeploy) Familiarity with microservices, containers, and orchestration tools such as Docker and Kubernetes Solid understanding of Linux systems, networking, and cloud security best practices Strong communication skills and experience working directly with customers Benefits & Perks Fully employer‑paid health benefits for employees and dependents Unlimited paid time off 401(k) plan Flexible working model (remote‑first with office access as needed) Company‑paid life insurance and long‑term / short‑term disability US Citizens or Green Card Holders only.