Senior DevOps Engineer, AI Platform

EPAM Systems; Argentina; Remote; ARS 138,361,000 - 199,855,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off and sick leave

Upskilling, reskilling and certificate

LinkedIn Learning library access

Global career opportunities

Job summary

EPAM Systems Inc. seeks aSenior DevOps Engineer to lead platform transition, retire legacy apps, and strengthen MCP Hosting Infra and AI Marketplace.

You will set technical direction, guide bot growth, and raise the bar for engineers through mentoring and design reviews. You will drive migration plans, shape architecture for Kubernetes on AWS, and define the automation and on-call standards that keep systems reliable and scalable.

Qualifications

• 3+ years of experience in DevOps or Site Reliability Engineering.
• Track record of leading technical work end to end, including migrations or decommissions.
• Expertise in AWS, Terraform, and Amazon Elastic Kubernetes Service, with strong Kubernetes experience strongly preferred.
• Background in monitoring and observability practices.
• Experience designing authentication or credential-management systems using OAuth2, or operating them at scale.
• Experience designing on-call and support processes, not just participating in them.
• Demonstrated ability to mentor and to make pragmatic trade-offs.
• Proficiency in English at a B2+ level.

Responsibilities

• Lead the spin-down of two applications, including migration plans, stakeholder communication, and decommissioning.
• Influence the architecture and reliability of MCP Hosting Infra (Kubernetes on AWS), including the gateway and per-user credential handling, by recommending changes that improve the current design.
• Guide the evolution of AI Marketplace.
• Define the support automation strategy, including which requests the bot resolves, which tools and permissions it gets, and how resolution rate is measured.
• Set standards for Terraform, observability, runbooks, and on-call practices.
• Review bot escalations for patterns and turn them into prioritized automation work.
• Mentor mid-level engineers through code review, design review, and pairing.
• Act as the escalation point for complex incidents and cross-team requests.
• Partner with product and other teams to prioritize work and set expectations.

Skills

Leadership

Code review

Mentoring

On-call practices

English communication

OAuth2 auth

AWS

Kubernetes

Terraform

Observability

Tools

Terraform

Kubernetes

AWS

Job description

We are seeking a Senior DevOps Engineer to serve as technical lead for our platform's transition, retiring legacy applications cleanly while strengthening MCP Hosting Infra and AI Marketplace. In this role, you will set technical direction, shape how the support bot grows, and raise the bar for the engineers around you.ResponsibilitiesLead the spin-down of two applications, including migration plans, stakeholder communication, and decommissioningInfluence the architecture and reliability of MCP Hosting Infra (Kubernetes on AWS), including the gateway and per-user credential handling, by recommending changes that improve the current designGuide the evolution of AI MarketplaceDefine the support automation strategy, including which requests the bot resolves, which tools and permissions it gets, and how resolution rate is measuredSet standards for Terraform, observability, runbooks, and on-call practicesReview bot escalations for patterns and turn them into prioritized automation workMentor mid-level engineers through code review, design review, and pairingAct as the escalation point for complex incidents and cross-team requestsPartner with product and other teams to prioritize work and set expectationsRequirements3+ years of experience in DevOps or Site Reliability EngineeringTrack record of leading technical work end to end, including migrations or decommissionsExpertise in AWS, Terraform, and Amazon Elastic Kubernetes Service, with strong Kubernetes experience strongly preferredBackground in monitoring and observability practicesExperience designing authentication or credential-management systems using OAuth2, or operating them at scaleExperience designing on-call and support processes, not just participating in themDemonstrated ability to mentor and to make pragmatic trade-offsProficiency in English at a B2+ levelNice to haveFamiliarity with Model Context ProtocolSkills in Python and TypeScriptWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn