Principal GCP Devops
24 hours ago
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.
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