Senior DevOps Engineer, Xelix

• 10+ years of experience in a DevOps, SRE, platform, or infrastructure engineering role, ideally including production ownership of business-critical systems
• Strong proficiency in Python, used for automation, tooling, and operational scripting
• Deep, hands-on experience with AWS, including container platforms such as ECS and EKS
• Proven expert-level skill with Terraform — this is a must-have, not a nice-to-have
• Solid experience with database operations, ideally PostgreSQL in AWS RDS/Aurora, including performance tuning, migrations, backups, and scaling large or high-throughput databases
• Practical experience with CI/CD pipelines, specifically GitHub Actions
• A strong DevSecOps mindset, with experience embedding security practices, secrets management, and compliance controls into infrastructure and pipelines
• Strong troubleshooting skills across Linux systems, networking, and distributed infrastructure
• Excellent communication skills and the ability to work cross-functionally with engineering, data, and security stakeholders
• Must be based in or commutable to London and available to work from the office several days per week

Desirable

• We are looking for a Senior DevOps Engineer to take ownership of the reliability, scalability, and security of our infrastructure
• This role is for someone who has spent a decade or more building and operating production systems end-to-end — from cloud infrastructure and CI/CD pipelines through to databases, messaging, and the operational needs of machine learning workloads
• You will be a technical anchor for the team, setting standards for infrastructure-as-code, security, and operational excellence, while remaining deeply hands-on with the platform day to day
• You’ll need to be based in or around London and able to work from our office several days a week, working closely with engineering, data, and security teams
• Design, build, and operate our cloud infrastructure on AWS, with a strong focus on container orchestration (ECS and EKS) and reliable, scalable production services
• Own our Infrastructure-as-Code estate in Terraform, driving consistent, version-controlled, repeatable provisioning across environments
• Build and maintain CI/CD pipelines using GitHub Actions, enabling teams to ship safely and frequently
• Operate and tune production RDS/Aurora databases, including performance, backups, migrations, partitioning, and scaling strategies
• Support ML Ops needs: help productionise machine learning workloads and ensure the ML infrastructure is reliable, observable, and cost-effective
• Write Python for automation, tooling, and infrastructure glue code across the platform
• Champion DevSecOps practices — embedding security into the pipeline, managing secrets, enforcing least-privilege access, and working with engineering teams to remediate vulnerabilities early
• Build and improve monitoring, alerting, and incident response so issues are caught and resolved before they become outages
• Mentor other engineers, contribute to architecture decisions, and help shape the team’s technical standards and roadmap
• Participate in on-call rotation and take ownership of incidents affecting production systems