Lead DevOps Engineer

We are looking for aLead 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

• Maintain GitLab CI/CD pipelines across all pods to keep build, test, and deploy flows stable and repeatable
• Implement and configure pipeline security scanning, including SAST/DAST and dependency vulnerability scanning
• Set up and sustain automated dependency update tooling (Renovate or Dependabot) across all repositories
• Drive infrastructure-as-code consolidation across pods to reduce configuration sprawl and improve maintainability
• Collaborate with the client infrastructure team to support the non-production environment access restriction initiative
• Configure ECS log drivers for products that currently lack centralized log collection
• Build and operate the DORA metrics infrastructure to increase visibility into delivery health
• Standardize observability instrumentation across pod services, covering logging, metrics, and distributed tracing
• Assist incident response by providing infrastructure-level diagnosis during the initial ownership period
• Embed within the client infrastructure team to align on standards and prevent shadow infrastructure
• Advise pod leads and engineers on deployment patterns, rollback procedures, and environment promotion
• Contribute to runbook documentation for infrastructure-level operational procedures

Requirements

• Proven DevOps or infrastructure engineering experience with 5+ years in similar roles
• Deep expertise in GitLab CI/CD pipeline setup, tuning, and ongoing maintenance
• Hands-on proficiency with AWS services, including ECS, ECR, Lambda, CloudFront, and S3
• Strong capability with Terraform and infrastructure-as-code practices
• Practical knowledge of Docker and container-based deployment approaches
• Working familiarity with Datadog, Snyk, and AWS Secrets Manager
• Solid understanding of observability practices, including logging, metrics, and distributed tracing
• Demonstrated background supporting incident response and performing infrastructure-level diagnosis
• Experience using AI tools for pipeline configuration generation, IaC authoring, or incident root cause analysis
• English proficiency at B2 (Upper-Intermediate) level or higher

Nice to have

• Familiarity with AI-assisted log analysis and anomaly detection in observability platforms
• Interest in automating repetitive DevOps tasks using LLM-based scripting or AI coding assistants