Back to SearchSite Reliability Engineering Lead
Hybrid in The United Kingdom: London
Site Reliability Engineering& 5 others
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EPAM is looking for a highly technical Site Reliability Engineering (SRE) Lead to support a client in the financial services sector. You will help design and deliver highly available, scalable and resilient platforms for mission-critical financial systems, with a strong focus on AWS, observability, automation and production reliability.
Responsibilities
- Design highly available, scalable and resilient platforms across on-premises and AWS environments
- Implement observability across metrics, logs and traces using tools such as Prometheus, Grafana, OpenTelemetry, ELK/EFK, CloudWatch or Datadog
- Define SLIs, SLOs, SLAs and error budgets for critical services
- Lead major production incidents, technical investigations and stakeholder communication
- Drive blameless postmortems and turn findings into measurable reliability improvements
- Build automation for incident response, scaling, failover and recovery using CI/CD and infrastructure-as-code practices
- Apply resilient architecture patterns, including multi-region failover, active-active designs, circuit breakers and bulkheads
- Establish runbooks, playbooks and AI-assisted processes for incident, problem, change and risk management
- Use agentic AI and intelligent automation to improve observability, incident management and automated recovery
- Collaborate with engineering, product and business stakeholders to improve operational readiness and platform resilience
Requirements
- Proven technical experience in SRE, DevOps or Platform Engineering in large-scale, regulated environments
- Deep technical expertise in both on-premise and AWS cloud-native architecture and systems design
- Experience with AWS services such as EKS/ECS, Lambda, API Gateway, DynamoDB, Aurora and S3
- Knowledge of database and data platforms: SQL Server, Sybase, PostgreSQL (including Aurora)
- Proficiency in Unix/Linux, Java, C#.NET and Python application support and development
- Strong implementation experience with observability tooling and frameworks for metrics, logs and traces (Prometheus, Grafana, OpenTelemetry, ELK/EFK stacks, CloudWatch, Datadog or similar)
- In-depth experience with incident management and production operations
- Hands-on experience with CI/CD pipelines, Git, automation, scripting and infrastructure-as-code tools (Python, Go, Ansible, Terraform)
- Demonstrable application of agentic AI engineering in observability, incident management and automated recovery
- Strong understanding of networking, security and reliability engineering principles
Nice to have
- Experience in financial services or other data intensive, regulated industries
- Familiarity with multi-region AWS architecture, high-availability and mission-critical applications
- Knowledge of chaos engineering practices and resilience testing
- Exposure to AIOps and intelligent automation frameworks