Lead DevOps Engineer, AI Platform

EPAM Systems; Chile; Remote; CLP 18,000,000 - 28,000,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off and sick leave

Upskilling and certification courses

LinkedIn Learning access

Job summary

EPAM Systems Inc. in Chile seeks a Lead DevOps Engineer to act as technical lead during platform transitions, retire legacy apps, and reinforce MCP Hosting Infra and AI Marketplace. You will guide architectural decisions, drive automation, and mentor engineers across teams.

The role focuses on AWS-based Kubernetes, Terraform standards, and on-call practices, while improving bot-driven support and credential management at scale. Collaboration with product teams is essential.

Qualifications

• 5+ years of experience in DevOps or Site Reliability Engineering.
• Proven experience leading technical initiatives end-to-end, including migrations or decommissions.
• Strong AWS, Terraform, and Amazon Elastic Kubernetes Service expertise.
• Solid background in monitoring and observability practices.
• Experience building authentication or credential-management systems with OAuth2 at scale.
• Experience designing on-call and support processes, not just participation.
• Proven ability to mentor others and make practical trade-offs.
• English proficiency at a B2+ level.

Responsibilities

• Lead the spin-down of applications with migration plans and stakeholder communication.
• Shape the architecture and reliability of MCP Hosting Infra (Kubernetes on AWS).
• Drive the ongoing development of AI Marketplace.
• Establish the support automation strategy and bot capabilities.
• Set standards for Terraform, observability, runbooks, and on-call practices.
• Analyze bot escalations and convert into automation initiatives.
• Mentor mid-level engineers through code/design reviews and pairing.
• Serve as escalation point for complex incidents and cross-team requests.
• Collaborate with product and other teams to prioritize work.

Skills

AWS

Terraform

Kubernetes

Observability

OAuth2

Python

TypeScript

Mentoring

Tools

Terraform

Kubernetes

Docker

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.ResponsibilitiesLead the spin-down of two applications, including migration plans, stakeholder communication, and decommissioningShape 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 designDrive the ongoing development of AI MarketplaceEstablish the support automation strategy, determining which requests the bot handles, what tools and permissions it needs, and how resolution rate is trackedSet standards for Terraform, observability, runbooks, and on-call practicesAnalyze bot escalations for recurring patterns and convert them into prioritized automation initiativesMentor mid-level engineers through code reviews, design reviews, and pairing sessionsServe as the escalation point for complex incidents and cross-team requestsCollaborate with product and other teams to prioritize work and align expectationsRequirements5+ years of experience in DevOps or Site Reliability EngineeringProven experience leading technical initiatives end-to-end, including migrations or decommissionsStrong expertise in AWS, Terraform, and Amazon Elastic Kubernetes Service, with solid Kubernetes experience strongly preferredSolid background in monitoring and observability practicesExperience building authentication or credential-management systems with OAuth2, or running them at scaleExperience designing on-call and support processes, rather than simply taking part in themProven ability to mentor others and make practical trade-offsEnglish proficiency at a B2+ levelNice to haveFamiliarity with Model Context ProtocolProficiency 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 LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.