Senior DevOps Engineer (GCP, Observability & AI Automation)
We are looking for a highly capable Senior DevOps Engineer to join a specialized engineering project team (5-6 people). This role goes beyond standard infrastructure maintenance, as your primary focus will be automating critical cloud security compliance, driving operational excellence, and integrating cutting-edge AI automation into our incident response workflows.
If you want to move away from standard ticket-crunching and focus on establishing robust SLOs, distributed tracing, and building intelligent automation, this is the place to be.
Essential functions
- Security & IAM Automation: Implement Workload Identity Federation and Secret Manager in GCP to eliminate manual key rotations and prevent expiration-related outages.
- Advanced Observability: Leverage Prometheus, Grafana, and Loki to establish Service Level Objectives (SLOs) and map Critical User Journeys (CUJs). Build data-driven dashboards connecting system performance with financial metrics.
- Distributed Tracing: Implement Open Telemetry (OTel) to integrate distributed tracing and logging for end-to-end journey visibility and reducing Mean Time To Recovery (MTTR).
- AI-Driven Workflows: Identify processes suitable for AI automation and develop intelligent workflows (leveraging Agent Skills) to enhance incident response and system reliability.
- Infrastructure as Code & CI/CD: Architect and manage cloud infrastructure using Terraform and Kubernetes, while maintaining deployment pipelines via GitHub Actions and Jenkins.
Qualifications
- Cloud & IaC Mastery: Deep commercial experience with GCP (Identity, Networking, Security) and Terraform (including Terraform Enterprise).
- Containerization: Strong hands-on knowledge of Docker and Kubernetes.
- Monitoring & Logging: Proven experience with the modern observability stack (Grafana, Loki, Prometheus) and a solid understanding of Linux and networking.
- CI/CD Expertise: Proficiency in building and maintaining pipelines with GitHub Actions and Jenkins.
- Scripting: Strong scripting skills (Python or Bash) for automating routine tasks.
Would be a plus
- Experience with deterministic automation tools like Ansible or Rundeck.
- Hands-on experience building AI agents or skills (using Gemini, Copilot, or Anthropic), or a strong eye for identifying processes that should be automated using AI.
- Understanding of FinOps principles and cloud cost optimization strategies.
- Familiarity with Looker for advanced dashboarding.
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.