We are looking for a Lead DevOps Engineer to partner with the client infrastructure team and raise the bar on CI/CD quality, security, and observability across three pods. You will evolve GitLab pipelines, consolidate infrastructure-as-code, establish delivery metrics, and help harden non-production environments.
Responsibilities
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Maintain GitLab CI/CD pipelines across all pods to keep build, test, and deploy flows stable and repeatable
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Implement and configure pipeline security scanning, including SAST/DAST and dependency vulnerability scanning
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Set up and sustain automated dependency update tooling (Renovate or Dependabot) across all repositories
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Drive infrastructure-as-code consolidation across pods to reduce configuration sprawl and improve maintainability
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Collaborate with the client infrastructure team to support the non-production environment access restriction initiative
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Configure ECS log drivers for products that currently lack centralized log collection
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Build and operate the DORA metrics infrastructure to increase visibility into delivery health
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Standardize observability instrumentation across pod services, covering logging, metrics, and distributed tracing
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Assist incident response by providing infrastructure-level diagnosis during the initial ownership period
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Embed within the client infrastructure team to align on standards and prevent shadow infrastructure
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Advise pod leads and engineers on deployment patterns, rollback procedures, and environment promotion
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Contribute to runbook documentation for infrastructure-level operational procedures
Requirements
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Proven DevOps or infrastructure engineering experience with 5+ years in similar roles
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Deep expertise in GitLab CI/CD pipeline setup, tuning, and ongoing maintenance
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Hands-on proficiency with AWS services, including ECS, ECR, Lambda, CloudFront, and S3
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Strong capability with Terraform and infrastructure-as-code practices
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Practical knowledge of Docker and container-based deployment approaches
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Working familiarity with Datadog, Snyk, and AWS Secrets Manager
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Solid understanding of observability practices, including logging, metrics, and distributed tracing
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Demonstrated background supporting incident response and performing infrastructure-level diagnosis
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Experience using AI tools for pipeline configuration generation, IaC authoring, or incident root cause analysis
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English proficiency at B2 (Upper-Intermediate) level or higher
Nice to have
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Familiarity with AI-assisted log analysis and anomaly detection in observability platforms
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Interest in automating repetitive DevOps tasks using LLM-based scripting or AI coding assistants
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
EPAM 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.