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Skills Required

gcp devops devsecops orchestration automation software leadership design github jenkins deployment scalability model development testing monitoring vertex ai mlflow security scanning management data drive containerization kubernetes helm service code integration optimization logging datadog gitops rollback strategies engineering iam vpc storage pipeline ml analysis vault airflow dataflow terraform ansible scripting python certifications api budgeting compliance

Work Mode

On-site

Job Type

Full Time

Job Description

About the Role

DevOps Subject Matter Expert (SME)



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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