Senior Site Reliability Engineer

We are seeking a Senior Site Reliability Engineer to strengthen critical infrastructure reliability and accelerate delivery through robust DevOps practices. You will drive improvements across CI/CD, cloud platforms, and operational readiness while solving high-impact production issues.

Responsibilities

• Design reliability strategies for critical infrastructure and services
• Build and maintain CI/CD pipelines and release workflows using GitLab
• Automate infrastructure operations and tooling with Python
• Operate cloud environments across AWS and Azure to meet availability goals
• Harden and standardize infrastructure practices across networking, security, IAM, and compute
• Coordinate incident response during on-call shifts and restore service quickly
• Implement Kubernetes-based deployment and operational patterns to improve stability
• Analyze reliability signals and root causes to prevent repeat incidents
• Improve DevOps processes and engineering capabilities to enable faster change
• Partner with stakeholders to prioritize resilience work over short-term fixes

Requirements

• 3+ years of site reliability engineering experience in cloud environments
• Proven leadership ability to influence reliability practices across teams
• Enterprise-scale release management experience supporting frequent deployments
• Strong cloud platform knowledge across Amazon Web Services and Microsoft Azure
• Advanced Python programming skills for automation and tooling
• Solid Kubernetes skills using clusters as a developer
• Deep CI/CD and source control knowledge with GitLab or similar DevSecOps platforms
• Strong infrastructure fundamentals across networking, compute, security, IAM, and configuration automation
• Strong analytical skills for complex problem solving under pressure
• Upper-Intermediate English proficiency (B2)
• Reliable on-call readiness to assess and resolve business-critical issues

Nice to have

• Amazon Web Services expertise, including design patterns for resilient systems
• Microsoft Azure expertise, including governance and operational best practices
• AI Architecture experience applied to platform reliability and automation
• AI Solution Engineering experience for production-grade AI-enabled operations
• Gen AI Solutions Development experience focused on operational use cases

Benefits

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn