Senior Dev Ops Engineer

• Own key DevOps and platform initiatives from design through production
• Remain hands-on with infrastructure and day-to-day technical delivery
• Build and operate scalable AWS cloud infrastructure and CI/CD pipelines
• Manage Kubernetes, containerised and serverless production workloads
• Drive automation through infrastructure as code
• Improve reliability, security, observability, scalability and cost efficiency
• Troubleshoot complex production issues through resolution
• Make and communicate technical recommendations
• Mentor and provide technical guidance to colleagues
• Use AI-assisted engineering tools to improve productivity, automation and delivery
• Explore new technologies and identify platform and workflow improvements
• Collaborate with colleagues across India, the UK and Europe
• Report to the VP Product Technology & Platform

• 10+ years' progressive experience in DevOps, cloud, platform or infrastructure engineering
• Demonstrable Senior or Lead-level experience while remaining highly hands-on
• Deep hands-on experience with AWS, Kubernetes, Linux, Git, CI/CD and infrastructure as code
• Significant experience building, operating and troubleshooting business-critical production systems
• Strong technical judgement and ability to independently solve complex problems with limited supervision
• Experience mentoring and developing less experienced engineers while remaining hands-on
• Professional fluency in spoken and written English; must communicate independently in English in all business situations
• Strong communication skills for explaining complex technical issues to different audiences
• Experience working effectively with geographically distributed teams
• Practical experience using AI-assisted engineering tools such as GitHub Copilot, Cursor or Claude Code
• Preferred: experience in healthcare, life sciences or another regulated industry
• Preferred: AWS certifications and incident-management experience
• Preferred: experience with Grafana, Prometheus or OpenTelemetry
• Preferred: experience across AWS and Azure
• Preferred: experience with AI-powered operational tooling, agents, MCP integrations or RAG solutions

• Flexible hours
• Mentoring and technical guidance opportunities
• AI-assisted engineering tools to improve productivity, automation and delivery
• Ongoing learning and exposure to emerging technologies