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Location: Dearborn MI
Work Arrangement: Hybrid (4 days per week onsite)
Position Summary
We are seeking an experienced Senior DevOps Specialist to design, build, and maintain infrastructure and tools that enable efficient software development, deployment, and release processes. This role is critical in driving automation, accelerating delivery cycles, and ensuring secure, reliable releases across multiple environments.
Key Responsibilities
- Implement and champion DevOps methodologies across the software product lifecycle.
- Accelerate software releases while ensuring security and minimizing risk of failures or recalls.
- Drive Continuous Integration (CI), Continuous Deployment (CD), and continuous feedback loops to shorten cycle times between user feedback and updated releases.
- Assess current systems and processes; identify and implement improvements for scalability and efficiency.
- Utilize enterprise tools and platforms to enable DevOps best practices.
- Manage and assist code/software releases in environments such as production, testing, and sandbox.
- Spearhead automation initiatives and identify innovation opportunities throughout the lifecycle.
Google Cloud Platform (GCP):
- Deploy and configure Cloud Run and GCP Load Balancer.
- Debug Cloud Run issues; manage Artifact Registry.
- Deploy Jenkins controllers and dynamic build nodes in GCP.
- Upgrade Jenkins versions and maintain CI/CD pipelines.
- Write and maintain Terraform modules; debug deployment errors.
- Build, write, and deploy containers into registries.
- Google Compute Engine: Create, maintain, and debug VMs; deploy via Terraform; build VM images using Packer.
- Google Kubernetes Engine (GKE): Maintain namespaces; deploy via code and Helm charts.
- Google Networking: Debug proxy issues, load balancer issues, and network endpoint groups.
- Familiarity with HW-in-the-loop testing, CI/CD, and build system configuration/scripting.
- 7+ years of experience in DevOps or related field.
- Proven expertise in embedded architectures, cloud infrastructure, and automation tools.
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
Key Skills
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