Job Description
Architect, build, and manage a secure GCP infrastructure platform to reduce infrastructure provisioning time and improve operational consistency
Collaborate with fellow DevOps and Data Engineers on AI driven initiative to automate healthcare data accesses and flows
Manage cloud resources via Terraform and sync with developers, QA, and operational teams on deployments and issues
Tune queries, manage partitions, and reduce compute costs within the GCP environment
Orchestrate continuous migration of multiple databases to GCP
Lead security audit and remediation efforts
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.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
6+ years of experience as a DevOps Engineer, specific to data in public cloud environments
3+ years of experience in GCP, understanding all tools of platform including BigQuery, DataProc, DataFlow, Cloud Composer, Airflow, and Google Kubernetes Engine (GKE), etc.
Strong data engineering experience leveraging SQL and Python tech stacks
Experience with Terraform for IaC provisioning of cloud resources and building CI/CD pipelines via Jenkins/Gitlab/Github Actions
Experience interfacing with a Gen AI team/project
Nice to Have Skills & Experience
ETL/ELT pipeline creation experience
Experience with GCP/AWS/Azure AI tooling
Experience doing hands-on RAG and automated pipeline engineering
GCP certifications
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.