Cloud DevOps Engineer

Job Description

•  Design, build, and run GCP infrastructure.
•  Provision and manage core GCP services, including: VMs (Linux and Windows) on Compute Engine, GKE clusters, Dataproc clusters, Cloud SQL instances
•  Automate provisioning, config, and deployments using Terraform, Jenkins, Ansible, or Cloud Deployment Manager.
•  Monitor and tune platforms for performance, cost, and scale using Google Cloud Operations Suite (Stackdriver), Prometheus, and/or Grafana.
•  Keep things secure: IAM, network controls, and encryption.
•  Partner with app teams to speed up delivery and improve reliability.
•  Troubleshoot prod/non-prod issues, then complete RCA and documentation.
•  Implement backup and disaster recovery for critical services and data.
•  Translate requirements into design specs aligned to business agreements.
•  Work well in a team and pick things up quickly.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

•  5+ years in IT development/engineering.
•  Bachelor's or master's in computer science/engineering (or similar).
•  GCP certs (Professional Cloud DevOps Engineer / Cloud Architect) are a bonus.
•  Exposure to multi-cloud or hybrid setups.
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Must-have:

hands-on GKE, Helm, and Kubernetes app deployment experience.

•  Hands-on with Python and GCP services: Composer/Airflow, Data Fusion, Big Query, Cloud Storage, GCE, Dataflow.
•  Solid DevOps tooling knowledge: Terraform, Jenkins, Ansible, GitHub, etc.
•  Comfortable on Unix/Linux and with shell scripting.
•  Monitoring/logging experience with Cloud Operations, Prometheus, Grafana.
•  Good grasp of networking: VPCs, firewalls, load balancers, DNS.
•  Strong Git skills, including branching strategies.