Senior Site Reliability Engineer (SRE)

EPAM Systems is seeking a Senior Site Reliability Engineer to join its global delivery team in a fully remote role supporting a leading global financial market infrastructure provider. The role focuses on ensuring the reliability, scalability, and security of mission-critical platforms by implementing SRE practices, automating operations, managing observability, and supporting highly available cloud-native systems.

Responsibilities:

• Collaborate with development, security, quality, and operations teams to implement SRE principles
• Define and manage Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgets
• Apply practices to minimize toil, improve resiliency, and optimize capacity
• Troubleshoot and resolve infrastructure and application issues to maintain system availability
• Design, implement, and maintain robust monitoring and alerting systems for applications and infrastructure
• Contribute to automation strategies and CI/CD pipelines to accelerate deployments
• Ensure adherence to security and compliance requirements across cloud-native environments

Requirements:

• Bachelor's degree in Computer Science, Engineering, or equivalent experience
• Proven experience working on SRE or DevOps in production environments
• Expertise with any cloud platform (AWS, GCP, or Azure)
• Solid understanding of SRE practices, including monitoring, incident response, error budgets, and postmortems
• Proficiency in Python or another scripting/programming language
• Hands-on knowledge of CI/CD pipelines, infrastructure as code, and configuration management tools
• Experience with containerization and orchestration tools (Kubernetes, Docker)
• Strong background in monitoring frameworks for infrastructure and application performance
• Experience deploying and managing Large Language Models (LLMs), including RAG-based solutions
• Cloud and Kubernetes certifications (AWS, GCP, Azure Certified, CKA/CKAD)
• Familiarity with AI/ML model lifecycle management in production environments
• Exposure to advanced automation and optimization of AI-driven applications