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Lead DevOps Engineer, AI Platform

Role overview

Qualifications

  • 5+ years of experience in DevOps or Site Reliability Engineering
  • Proven experience leading technical initiatives end-to-end, including migrations or decommissions
  • Strong expertise in AWS, Terraform, and Amazon Elastic Kubernetes Service
  • Solid background in monitoring and observability practices

Responsibilities

  • Lead the spin-down of two applications, including migration plans, stakeholder communication, and decommissioning
  • Shape the architecture and reliability of MCP Hosting Infra (Kubernetes on AWS)
  • Drive the ongoing development of AI Marketplace
  • Establish the support automation strategy

Key facts

Hard skills

Other skills

  • Mentorship
  • Communication

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

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Job description

We're looking for a Lead DevOps Engineer to act as the technical lead during our platform's transition, cleanly retiring legacy applications while reinforcing MCP Hosting Infra and AI Marketplace. This role involves setting technical direction, guiding the growth of the support bot, and elevating the standards of the broader engineering team. Responsibilities Lead the spin-down of two applications, including migration plans, stakeholder communication, and decommissioning Shape the architecture and reliability of MCP Hosting Infra (Kubernetes on AWS), including the gateway and per-user credential handling, by proposing improvements to the existing design Drive the ongoing development of AI Marketplace Establish the support automation strategy, determining which requests the bot handles, what tools and permissions it needs, and how resolution rate is tracked Set standards for Terraform, observability, runbooks, and on-call practices Analyze bot escalations for recurring patterns and convert them into prioritized automation initiatives Mentor mid-level engineers through code reviews, design reviews, and pairing sessions Serve as the escalation point for complex incidents and cross-team requests Collaborate with product and other teams to prioritize work and align expectations Requirements 5+ years of experience in DevOps or Site Reliability Engineering Proven experience leading technical initiatives end-to-end, including migrations or decommissions Strong expertise in AWS, Terraform, and Amazon Elastic Kubernetes Service, with solid Kubernetes experience strongly preferred Solid background in monitoring and observability practices Experience building authentication or credential-management systems with OAuth2, or running them at scale Experience designing on-call and support processes, rather than simply taking part in them Proven ability to mentor others and make practical trade-offs English proficiency at a B2+ level Nice to have Familiarity with Model Context Protocol Proficiency in Python and TypeScript

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