EPAM SystemsRemote
Site Reliability Engineer
United States of America
Full-time
5 hours ago
H1B Sponsor Likely
Key skills
PythonAIMLGenAIClaudeRAGAgenticAWSAzureGCPKubernetesDockerBedrockVertex AICI/CD
About this role
EPAM Systems is seeking a highly skilled and motivated Site Reliability Engineer (SRE) to join their team. In this critical role, you will collaborate closely with software developers and operations teams to ensure high reliability, scalability, and efficiency of systems while driving 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
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field
- 3+ 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