About the Role :
We are seeking a highly experienced and hands-on DevOps Subject Matter Expert (SME) with deep specialization in Google Cloud Platform (GCP) and a proven track record in designing and implementing CI/CD pipelines, cloud-native architectures, MLOps frameworks, and DevSecOps practices .
The ideal candidate will bring a strong foundation in cloud infrastructure, container orchestration, automation, and secure software delivery , playing a strategic and technical leadership role across projects.
Key Responsibilities :
- Design, implement, and optimize CI/CD pipelines using tools like Cloud Build, GitHub Actions, Jenkins, ArgoCD, Spinnaker , etc.
- Define and maintain cloud deployment architectures on GCP, ensuring scalability, availability, and security.
- Lead MLOps practices by integrating model development, testing, deployment, and monitoring using Vertex AI, Kubeflow, MLflow, etc.
- Implement DevSecOps best practices, including IaC security scanning, secrets management, container image scanning, and policy enforcement.
- Architect and manage DataOps pipelines for data ingestion, transformation, and validation across environments.
- Drive containerization efforts using Docker , Kubernetes (GKE), Helm, and service mesh technologies (Istio, Linkerd).
- Implement infrastructure as code (IaC) using Terraform , Deployment Manager , or Pulumi .
- Collaborate with development, data science, and QA teams to ensure seamless integration of DevOps processes throughout the SDLC.
- Monitor system performance, cost optimization, and operational SLAs using GCP-native tools (Cloud Monitoring, Cloud Logging) and third-party observability tools (Datadog, Prometheus, Grafana).
- Guide the adoption of GitOps, automated testing, release management, and rollback strategies in fast-paced cloud-native environments.
Required Qualifications :
- 10+ years of experience in DevOps, Cloud Engineering, or related fields.
- Deep hands-on experience with Google Cloud Platform (GKE, Cloud Run, Cloud Build, IAM, VPC, Cloud Storage, Pub/Sub, BigQuery).
- Expertise in CI/CD pipeline design and maintenance for both application and ML workflows.
- Strong experience with Docker and Kubernetes, preferably GKE.
- Solid understanding of MLOps practices and tools (Kubeflow, Vertex AI, MLflow).
- Working knowledge of DevSecOps tools and practices: static/dynamic analysis, security scanning, secret management (e.G., HashiCorp Vault, GCP Secret Manager).
- Experience with DataOps frameworks and orchestration tools (e.G., Airflow, dbt, Dataflow, Cloud Composer).
- Proficient in IaC tools (Terraform, Ansible, Deployment Manager).
- Familiar with GitOps and tools like ArgoCD, FluxCD.
- Strong scripting and automation skills (Python, Bash, YAML).
- Deep understanding of modern software development lifecycles and cloud-native design patterns.
Preferred Qualifications:
- GCP Certifications (e.G., Professional Cloud DevOps Engineer , Professional Cloud Architect ).
- Experience with hybrid cloud or multi-cloud environments.
- Knowledge of service mesh and API gateways (e.G., Istio, Envoy).
- Experience with cost optimization, cloud budgeting, and FinOps strategies.
- Familiarity with compliance frameworks like HIPAA, SOC 2, or ISO 27001.