DevOps Senior Specialist

Senior Dev Ops Specialist

Location:

Dearborn MI
Work Arrangement:
Hybrid (4 days per week onsite)

We are seeking an experienced Senior Dev Ops 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.

• Implement and champion Dev Ops 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 Dev Ops 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
  .

Jenkins:

• Deploy Jenkins controllers and dynamic build nodes in GCP.
• Upgrade Jenkins versions and maintain CI/CD pipelines.

Terraform:

• Write and maintain Terraform modules; debug deployment errors.

Containers:

• 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 name spaces; 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 Dev Ops or related field.
• Proven expertise in embedded architectures
  , cloud infrastructure, and automation tools.

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.