Job description
 
                         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.
 
                    
                    
Required Skill Profession
 
                     
                    
                    Computer Occupations