Senior/Lead DevOps Engineer

In this role, you will build and maintain a cloud-based index platform, manage secure and cost-effective AWS environments, and drive observability and resilience through chaos and disaster recovery testing. You will implement FinOps strategies to optimize cloud spending and leverage your expertise in CI/CD practices to design and optimize a best-in-class AWS microservices architecture. This is a hands-on role requiring deep experience in DevOps tools and practices, including GitLab, Terraform, AWS, Kubernetes/EKS and Ansible., * Build and maintain secure, resilient and cost-optimized AWS cloud infrastructure using DevOps best practices

• Design and manage CI/CD pipelines for Java and Python microservices architectures
• Implement infrastructure as code using Terraform with modular and reusable patterns
• Manage Kubernetes (EKS) clusters at scale for workload orchestration and container lifecycle
• Integrate security controls and continuous compliance into the DevOps lifecycle
• Drive observability using tools like Datadog to monitor infrastructure and application performance
• Implement chaos engineering and disaster recovery strategies to ensure resilience and business continuity
• Optimize cloud cost management in line with FinOps principles

Do you have experience in Terraform?, * Strong hands-on experience with AWS services including EC2, S3, RDS, Lambda, VPC, IAM, CloudWatch and EKS

• Expertise in infrastructure as code using Terraform
• Proven experience with CI/CD tools such as GitLab CI or Jenkins for microservices architectures
• Strong knowledge of Kubernetes (EKS) and containerization with Docker
• Solid understanding of cloud security practices and compliance frameworks
• Experience with observability platforms such as Datadog or Prometheus
• Familiarity with cloud financial management and FinOps principles
• Track record of designing and executing disaster recovery strategies

Nice to have

• Experience with AI-assisted tools such as GitHub Copilot, GitLab AI or Terraform AI
• Knowledge of scripting languages (Python, Bash or similar) for automation
• Familiarity with Ansible for configuration management
• Exposure to emerging DevOps trends and cloud-native technologies

Pulled from the full job description

• Employee stock purchase plan
• Employee assistance programme
• Company pension
• Private medical insurance
• Cycle to work scheme
• Tech scheme, * EPAM Employee Stock Purchase Plan (ESPP)
• Protection benefits including life assurance, income protection and critical illness cover
• Private medical insurance and dental care
• Employee Assistance Program
• Competitive group pension plan
• Cyclescheme, Techscheme and season ticket loans
• Various perks such as free Wednesday lunch in-office, on-site massages and regular social events
• Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
• If otherwise eligible, participation in the discretionary annual bonus program
• If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program

• All benefits and perks are subject to certain eligibility requirements