Remote: This role is based remotely but if you live within a 50-mile radius of Austin, Warren, or Mountain View, you are expected to report to that location three times a week, at minimum.
The Role
Software-defined vehicles are revolutionizing mobility — blending intelligence, safety, and sustainability into every journey. At the heart of this transformation is software: powering communication, security, updates, data processing, and seamless user experiences.
For business owners, these innovations unlock greater efficiency, reduced costs, improved safety, smarter decision-making, and higher employee satisfaction. GM’s software solutions also accelerate the transition to electric vehicles, supporting the decarbonization of transportation.
As a leading OEM, GM is uniquely positioned to deliver integrated solutions across both in-vehicle and cloud platforms. Our commercial fleet software spans fleet management, energy optimization, logistics, safety systems, and more.
We’re expanding our teams in Silicon Valley and Atlanta to build next-generation software for commercial fleet owners — from small businesses to global enterprises. If you’re passionate about technology, sustainability, and customer-centric innovation, this is your chance to make a meaningful impact at scale.
What You’ll Do
- Build and manage infrastructure on the Azure stack
- Work with Azure services like PIM, Microsoft Entra ID, FrontDoor, CosmosDB, Azure B2C (custom policies)
- Design, implement, and automate CI/CD pipelines
- Manage Azure Kubernetes Service (AKS) via CI/CD
- Automate infrastructure changes using Terraform
- Ensure security and compliance best practices are continuously applied
- Collaborate with cross-functional teams to resolve technical challenges
- Explore emerging technologies to enhance our tech stack
- Engage in deep technical discussions with the Architecture group
Your Skills & Abilities (Required Qualifications)
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7+ years of hands-on cloud engineering experience , with deep expertise in Azure and supporting roles in AWS and GCP
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Microsoft Certified Azure Solutions Architect Certification with proven experience designing and managing Azure infrastructure
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AWS Certified Cloud Practitioner Certification with practical experience in monitoring architecture
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Google Cloud Certified Associate Cloud Engineer and Professional Cloud Architect , demonstrating multi-cloud fluency
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3+ years of Infrastructure as Code (IaC) experience using Terraform, Azure Bicep, and AWS CloudFormation
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2+ years managing Azure Kubernetes Service (AKS) , including migration from Service Fabric, private AKS enablement, and hub-and-spoke network design
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Strong scripting and automation skills in Python, PowerShell, and Bash, with custom tooling for CMDB-like documentation, budget forecasting, and account baselining
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Experience designing and maintaining CI/CD pipelines , particularly with GitHub Actions and Azure DevOps
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Solid understanding of cloud security and compliance , including Azure Blueprints, custom policies, and golden image creation
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Comfortable supporting both Windows and Linux environments , including WSL-based developer enablement and cross-platform tooling
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Proven ability to collaborate with architecture teams , drive infrastructure transformation, and support developer workflows
What Will Give You A Competitive Edge (Preferred Qualifications)
- Recognized as a multi-cloud domain expert , with certifications and hands-on experience across Azure, AWS, and GCP
- Known for a customer-first mindset , supporting developer transitions and enabling secure, scalable environments
- Passionate about automation and reducing manual work , with a proven track record of scripting and process optimization
- Experience with monitoring and observability , including custom-built frameworks and integrations with tools like Splunk, DataDog, and ElasticSearch
- Strong understanding of modern network and security architecture , including VPNs, Zero Trust, PKI, and TLS
- Adept with source control and Git workflows , including GitHub customization and action forking
- Highly adaptable, with a "jack of all trades" mindset that enables rapid learning and effective problem-solving across unfamiliar technologies
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate
A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL
NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
- The salary range for this role is 177,000 to 270,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
