[Remote] Senior Site Reliability Engineer
Note: The job is a remote job and is open to candidates in USA. EPAM Systems is seeking a Senior Site Reliability Engineer to ensure the reliability, scalability, and efficiency of its systems and infrastructure. The role focuses on implementing SRE practices, designing cloud-based solutions, automating operations, monitoring system performance, and guiding the adoption of AI-enabled platform capabilities.
Responsibilities
- Collaborate with development, security, quality, and operation teams to implement SRE practices and ensure system reliability
- Define and support required level of reliability, availability, and performance for services and applications
- Design and deliver Cloud-based solutions tailored to client needs
- Troubleshoot, mitigate, and support fixing of the infrastructure and application issues in a timely manner
- Implement a monitoring system for the infrastructure and application reliability
- Guide adoption of AI technologies on the platform (GenAI, AI agents, AIOps) to improve operations
- Communicate technical concepts clearly to both engineering teams and management stakeholders
Skills
- Bachelor's degree in Computer Science, Engineering, or a related field
- 5+ years of hands-on experience in Site Reliability Engineering or related roles
- Proven experience in any cloud (AWS/GCP/Azure)
- Experience with implementing SRE practices such as SLO/SLI, Error budgets, Postmortems, Reducing Toil, capacity planning, and Incident Management
- Python or other scripting/programming language
- Strong background in monitoring tools
- Proficiency in CI/CD tools, infrastructure as code, and configuration management
- Solid knowledge of container orchestration technologies (Kubernetes, Docker)
- English language proficiency at an Upper-Intermediate level (B2) or higher
- Certification in Kubernetes, AWS/GCP/Azure, or similar technologies
- Proven experience in DevOps
- Expertise in deployment and management of LLMs, including technologies like RAG
- Knowledge of managing and optimizing AI/ML models in production environments, including basic deployment, monitoring, and maintenance
- Native AI cloud services: AWS Bedrock, Google Vertex AI, Azure AI
- Experience in designing, building, and operating AI agents and agentic frameworks
- Coding Agents: Claude Code, OpenCode, Cursor, Trae, Antigravity
Benefits
- Diversity of tasks and projects
- Assessment center for objective review of competency level
- Personal development plan
- Mentoring programs and leadership development
- Certification and professional development support
- Access to learning platforms including more than 2,500 internal courses
- English courses taught by certified teachers
- Extra leave days
- Referral bonuses
- Private health insurance
- Well-being events
- Recreation areas and kitchens
- Tea, coffee and snacks
- Sports equipment and game consoles
- IT Equipment
- Microsoft’s Software Assurance Home Use Program (HUP)
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