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# Senior DevOps Engineer

- **Company:** Xelix
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £87,223.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Business Analytics Applications, Backup Devices, Cloud Computing, Databases, Data Warehousing, Linux, DevOps, Distributed Systems, Github, Identity and Access Management, Python (Programming Language), Key Management, PostgreSQL, Machine Learning, Performance Tuning, Scripting, Amazon Relational Database Service, Containerization, Low Latency, Machine Learning Operations, Vertica, Terraform, Devsecops, Amazon Redshift
- **Published:** October 9, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5920080085

## About the Role

* 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.

Preferred / Nice to Have

 * Background in high-availability, low-latency, or highly regulated environments (e.g. fintech, trading, healthcare).
 * MLOps experience - deploying, monitoring, and scaling machine learning workflows in production.
 * Experience with ClickHouse, Amazon Redshift, or other data warehousing/analytics platforms.
 * Strong identity and access management platform experience and knowledge.
 * Experience working in environments with security compliance requirements and building tooling to meet these needs.

## Description

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.

What you'll be doing

 * 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.