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.