Principal GCP Devops

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.