Senior DevOps Engineer - AI Platform & Infra Lead

EPAM Systems Inc

Argentina

Remote

ARS 138,361,000 - 199,855,000

Full time

5 days ago

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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.