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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