Senior DevOps Engineer

We are seeking a Senior DevOps Engineer to embed with the client infrastructure team and own CI/CD pipeline quality, security, and observability across all three delivery pods. In this role, you will maintain and improve GitLab pipelines, drive infrastructure-as-code consolidation, instrument delivery metrics, and support the non-production environment hardening initiative. The ideal candidate is a hands-on DevOps engineer who is equally comfortable working independently on pipeline improvements and collaborating closely with a client infrastructure team.

Responsibilities

• Maintain and improve GitLab CI/CD pipelines across all pods, ensuring reliable build, test, and deploy workflows
• Introduce and configure pipeline security scanning (SAST/DAST, dependency vulnerability scanning)
• Set up and maintain automated dependency update tooling (Renovate or Dependabot) across all repositories
• Own infrastructure-as-code consolidation across pods, reducing configuration sprawl and improving maintainability
• Support the non-production environment access restriction initiative in collaboration with the client infrastructure team
• Configure ECS log drivers for products currently missing centralized log collection
• Build and maintain the DORA metrics infrastructure to provide delivery health visibility
• Ensure consistent observability instrumentation (logging, metrics, distributed tracing) across all pod services
• Support incident response with infrastructure-level diagnosis during the initial ownership period
• Work embedded within the client infrastructure team, aligning on standards and avoiding 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

• 3+ years of experience in a DevOps or infrastructure engineering role
• Expertise in GitLab CI/CD pipeline configuration and maintenance
• Proficiency in AWS services, including ECS, ECR, Lambda, CloudFront, and S3
• Skills in Terraform and infrastructure-as-code practices
• Knowledge of Docker and containerized application deployment
• Familiarity with Datadog, Snyk, and AWS Secrets Manager
• Understanding of observability practices, including logging, metrics, and distributed tracing
• Background in supporting incident response and infrastructure-level diagnosis
• Experience using AI tools for pipeline configuration generation, IaC authoring, or incident root cause analysis
• English proficiency at B2 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