Senior Software Engineer - Cloud Engineering & FinOps
Role details
Job location
Tech stack
Job description
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX or Warren, MI three times per week, at minimum .
At General Motors, we're driving a massive digital transformation-and the Cloud Engineering & FinOps team is at the heart of it.
As part of the Digital Products, Cloud and AI Platforms organization, we design and operate the core multi-cloud infrastructure and foundational services that power GM's global enterprise. Our mission is to remove friction from the cloud: enabling faster software delivery while optimizing cost, performance, and scale. We treat developer experience as a product, delivering modern cloud-native platforms that empower engineering teams rapidly build and deploy the next generation of GM's digital services.
What You'll Do
As a Senior Software Engineer on the Cloud Engineering & FinOps team at General Motors, you will play a critical role in building FinOps tooling and cloud onboarding experiences that power GM's enterprise-wide cloud transformation.
You will design, develop, and evolve our in-house Cloud Onboarding and FinOps Portal-a modern platform built with Next.js (frontend) and Go (backend services). This platform provides teams across the company with seamless visibility into cloud costs, intelligent optimization recommendations, actionable insights, and chargeback capabilities.
Your focus will be on creating frictionless developer and team experiences by embedding cost awareness, usage optimization, and governance directly into the cloud onboarding and operational workflows. You will contribute to and own key components including:
- Billing data ingestion pipelines from major cloud providers (Azure, GCP, AWS)
- Utilization metrics, cost analytics, and optimization recommendation engines
- Cloud onboarding workflows and frictionless, self-service capabilities
- Design and build scalable, cloud-native services with speed and quality
- Lead technical decision-making and architecture discussions
- Conduct code reviews and uphold high engineering standards across the team
- Collaborate closely with peer teams to design new features and deliver end-to-end solutions
- Iterate rapidly based on user feedback while maintaining platform reliability and performance
Requirements
- Bachelor's degree in Computer Science or a related technical field (or equivalent practical experience)
- 5+ years of hands-on software engineering experience, with a strong focus on building cloud-native applications and platforms
- Proficiency in modern programming languages: Next.js (or React) for frontend and Go for backend services
- Strong experience with Docker for containerization and Kubernetes for orchestration
- Experience designing and building scalable data pipelines, APIs, or backend services in a cloud environment
- Solid understanding of cloud fundamentals across at least one major provider (Azure, GCP, AWS), including cost structures, billing concepts, and resource optimization
- Demonstrated ability to write clean, maintainable code, conduct code reviews, and participate in technical decision-making
- Demonstrated ability to clearly communicate technical and non-technical information verbally and in writing
- Strong problem-solving skills with the ability to deliver high-quality features quickly in an agile environment
What Will Give You A Competitive Edge (Preferred Qualifications)
- 7+ years of software engineering experience, including 2+ years specifically in FinOps, cloud cost management, or building internal developer platforms
- Deep experience with Kubernetes, particularly around resource utilization and efficient workload management
- Hands-on experience with multi-cloud environments and working with cloud billing data ingestion and cost analytics
- Experience implementing CI/CD pipelines using tools such as GitHub Actions and ArgoCD
- Experience with Infrastructure as Code (IaC), preferably Terraform
- Deep familiarity with FinOps principles and practices (e.g. showback/chargeback models, optimization recommendations, cost visibility tools, and the FOCUS format)
- Experience building self-service onboarding portal or platforms that improve developer experience and embed cost controls
- Proficiency with data processing, metrics generation, and recommendation engines (SQL, data pipelines, analytics tools)
- Familiarity with observability tools and standards, including OpenTelemetry (Otel) and Datadog
- Prior experience in a large enterprise environment or similarly complex organizations
- Excellent collaboration and communication skills, with the ability to work effectively with cross-functional engineering and finance stakeholders
