Description

Job Description

• Bachelors or Any Degree with Experience in Information Technology or the relevant Field.
• Must have 7+ years of experience in platform engineering, DevOps, or infrastructure engineering roles
• Strong hands-on expertise with Google Cloud Platform (GCP) — Vertex AI, GKE, Cloud Run, IAM, VPC/networking, BigQuery
• Good Deep experience designing and managing CI/CD pipelines (Cloud Build, Jenkins, GitHub Actions, GitLab CI, ArgoCD)
• Must be Proficiency in Infrastructure as Code (Terraform preferred)
• Strong scripting/programming skills (Python, Bash, or Go)
• Good Experience with containerization and orchestration (Docker, Kubernetes)
• You should have a Solid understanding of MLOps concepts and the ML lifecycle (training, versioning, deployment, monitoring)
• Good Experience with observability tooling (Cloud Monitoring, Prometheus, Grafana, ELK/EFK)
• Strong understanding of cloud security, IAM, and secrets management best practices
• Preferred Qualifications
• GCP Professional certifications (Cloud DevOps Engineer, Cloud Architect, or Machine Learning Engineer)
• Experience supporting generative AI / LLM platforms (Vertex AI, Gemini Enterprise, Model Garden)
• Experience with GitOps workflows (ArgoCD, Flux)
• Background working in regulated or enterprise-scale environments
• Familiarity with cost optimization and FinOps practices on GCP has context menu

Key Skills

Education

Any Graduate