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Senior Staff DevOps Engineer

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Eliassen Group
Full Time position
Listed on 2026-08-03
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Data Engineering
Salary/Wage Range or Industry Benchmark: 80 - 90 USD Hourly USD 80.00 90.00 HOUR
Job Description & How to Apply Below

Description

Remote

Our client is entering Phase 2 of a Manufacturing Traceability program and requires a Senior Staff Dev Ops Engineer focused on Terraform and Google Cloud Platform. The engineer will enable GCP infrastructure for AI and data analytics, build reusable templates, and support data movement and reporting. The role partners with Product Performance and Data & Analytics to implement infrastructure-as-code through Terraform Cloud, accelerate operational readiness, and provide cloud services that back analytics, AI enablement, and regulated manufacturing use cases.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $80.00 to $90.00/hr. w2

JN -

Responsibilities
  • Design, implement, and optimize GCP infrastructure with Terraform Cloud to support AI and data analytics workloads.
  • Collect manufacturing process data and enable secure movement into GCP services including Big Query, Dataplex, Datastream, and cloud storage.
  • Partner with Product Performance and Data & Analytics to build reusable templates and patterns that accelerate delivery.
  • Perform architectural design, reviews, and implementation aligned to best practices for networking, security, and cost efficiency.
  • Enable and support operational readiness in DNA wrangle environments.
  • Enable and support Cloud Spanner in mfg-dataanalytics and DNA wrangle environments.
  • Enable notebooks and DBT Python in DNA projects.
  • Enable the GCP mfg-dataanalytics project to support Product Performance innovation.
  • Create and update Product Performance sandbox environments and iterate on improvements.
  • Assist in building DNA medallion leveling templates.
  • Support Landing Zone phase 2 with AI feature flags, enhanced AI service templates, and AI example sandboxes.
  • Collaborate with the Cloud Platform team to develop and implement lab-level environment strategy.
  • Contribute to security and compliance practices including IAM, encryption, logging, and auditing.
  • Document designs, standards, and runbooks and mentor team members.
Experience Requirements
  • Expert-level Terraform experience, preferably with Terraform Cloud.
  • Strong hands-on GCP experience with Big Query, Dataplex, Datastream, VPC networking, and storage.
  • Familiarity with Google AI and Gemini offerings.
  • Ability to operate independently and ramp quickly in an existing GCP environment.
  • 13+ years of cloud and infrastructure experience preferred.
  • Experience building infrastructure for data and analytics platforms.
  • Kubernetes expertise and proficiency with VMs, Cloud Run, and serverless.
  • Git Ops and Dev Ops experience with Git Hub, Git Hub Runners, Backstage or Roadie, ArgoCD, and Cloud Deploy.
  • Database familiarity including Big Query, Snowflake, MongoDB, and Cloud SQL.
  • Strong understanding of VPCs, load balancers, firewalls, and cloud networking.
  • Experience in regulated industries is a plus.
  • Excellent documentation and knowledge sharing practices.
Education Requirements#J-18808-Ljbffr
Position Requirements
10+ Years work experience
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