Site Reliability Engineer

Overview

Join Trainline as a mid-level Site Reliability Engineer within ReliabilityOps. You’ll help keep a cloud-first platform observable, scalable, and resilient, partnering with product teams to enable safe delivery. You’ll handle incident response, post-incident reviews, and tooling to improve MTTR and SLO adherence. This role offers hands-on architecture influence and shared ownership in a fast-growing fintech-like travel platform.

Pay / Benefits

• private healthcare & dental insurance
• work from abroad policy
• 2-for-1 share purchase plans
• EV Scheme to reduce carbon emissions
• extra festive time off
• family-friendly benefits

Responsibilities

• Develop understanding of system architecture, dependencies, and failure modes across the platform
• Participate in production incident response, investigations, mitigation, and service restoration
• Contribute to post-incident reviews and follow-up actions for reliability, scalability, and resilience
• Take part in on-call rotation
• Design, build, and maintain observability using metrics, logs, events, and traces
• Improve monitoring and alerting aligned with business impact to reduce noise and MTTD
• Surface operational data quickly during live incidents
• Make informed tooling and technology choices using SRE principles
• Support AWS-hosted infrastructure and shared platform services using IaC and CI/CD tooling
• Collaborate with product engineering to ensure services are deployment-ready and operationally safe
• Advise on reliability and resilience practices
• Write and maintain reliable, well-structured code and scripts
• Prioritise work effectively using agile processes
• Contribute to broader reliability discussions and ongoing improvements

Key requirements

• SRE concepts such as SLI, SLO and error budgets
• Hands-on observability tooling experience (New Relic, ELK, Influx, Grafana)
• Experience with AWS or similar cloud providers
• Troubleshooting Linux operating systems
• Scripting in at least one language (preferably Python)
• Understanding of load balancing, reverse proxy concepts, upstream config/health checks
• Knowledge of application architecture concepts (threading, queues, readiness/health checks, circuit breakers, backoff, throttling)
• Experience with time series data management (retention, cardinality, moving averages)
• Experience with GitHub Actions and Terraform
• Strong collaboration and agile workflow

• collaboration
• growth mindset
• ability to challenge and be challenged
• SRE fundamentals (SLI/SLO, error budgets)
• Observability tooling: New Relic, Elastic/ELK, Grafana, Influx
• AWS and cloud-native infrastructure

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