infrastructure engineer

EPAM is a global provider of digital platform engineering and software development services, helping customers transform through innovative technology solutions.

• Keep real-time inference services healthy through alerting, live debugging and fixing of production incidents, rollbacks and postmortems, as part of a shared 24x7 on-call rotation;
• Build and improve AWS infrastructure, including infrastructure as code, CI/CD pipelines, Kubernetes, Docker, autoscaling, monitoring, load testing and cost control;
• Care for the GPU fleet through NVIDIA driver and CUDA upgrades, node provisioning and debugging, and capacity management;
• Automate user access, including SSH credentials, service accounts and developer environments for the science team;
• Run real-time production data pipelines, including streaming ingestion into an online feature store and serving features to low-latency endpoints;
• Orchestrate batch jobs with Airflow or Databricks Workflows;
• Partner with applied scientists to productionize their prototypes and keep them healthy;
• Write and review production Python, including validating AI-generated code.

• 24X7 on-call experience with high-load online services in production, including real incidents personally debugged and fixed live;
• Strong Linux systems skills, with hands-on experience in Kubernetes, Docker and infrastructure as code;
• Solid experience in Python, Git and CI/CD;
• Experience with workflow orchestration tools such as Airflow, Databricks Workflows or equivalent;
• Proficiency in Apache Airflow, CI/CD and DevOps practices;
• Familiarity with Gen AI in SDLC;
• English proficiency at B2 level or higher;
• Nice to have: Familiarity with Anthropic Claude Code.

• No conditions specified