Jobs · Michigan

Staff Software Engineer, Cloud Platform - Nova

General Motors · Warren, MI · Yesterday
Hybrid$184k–$275k/yrFull-time

About the role

This role is categorized as hybrid. The successful candidate is expected to report to Warren Global Technical Center, Mountain View Technical Center, or Austin Technical Center three times per week, at minimum.

Responsibilities

  • Lead design and implementation of shared cloud platform capabilities with a strong focus on Kubernetes-based systems
  • Create reusable abstractions, tooling, and platform services that reduce complexity for internal customers
  • Develop operators, controllers, and related platform components that improve automation, consistency, operability, and platform safety
  • Improve monitoring, observability, deployment patterns, release safety, and other operational practices needed to run highly reliable services
  • Enhance the developer experience by making platform capabilities easier to consume, integrate with, and operate
  • Partner across teams to identify systemic friction and deliver technical solutions that scale across the platform
  • Contribute deeply to architecture, implementation, code quality, testing, and technical direction for cloud platform systems
  • Participate in on-call activities, incident response, and operational improvement work for platform services
  • Lead by example in engineering standards, design reviews, and thoughtful technical mentorship
  • Influence technical direction across team boundaries without relying on formal authority

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
  • 8+ years experience in engineering or architecture roles
  • Strong software engineering experience building and operating production systems in cloud or platform environments
  • Strong object-oriented programming skills and a history of building complicated or complex systems
  • Experience running platforms on Kubernetes in production environments
  • Experience building operators, controllers, or similar control-plane abstractions
  • Demonstrated ability to create reusable technical capabilities rather than one-off solutions
  • Strong coding, design, debugging, and systems thinking skills
  • Experience improving platform usability, reliability, monitoring, observability, deployment patterns, and operational maturity for internal customers
  • Experience participating in on-call rotations and improving service operations in production environments

Qualifications

  • Clear written and verbal communication skills with the ability to influence technical direction across teams
  • Ability to independently identify important platform problems and drive solutions from concept through delivery

Skills & Abilities (Required Qualifications)

  • Experience in platform engineering and developer enablement
  • Experience building internal platform products that abstract infrastructure and operational complexity from customers
  • Experience with Kubernetes ecosystem tooling, operators, and platform automation
  • Experience with Go and/or Java in production platform environments
  • Experience with multi-cloud platform environments running on Azure and GCP

Preferred Qualifications

  • Deep experience in platform engineering and developer enablement
  • Strong background in Kubernetes ecosystem tooling, operators, and platform automation
  • Experience with Go and/or Java in production platform environments
  • Experience with multi-cloud platform environments running on Azure and GCP
  • A track record of delivering both immediate engineering value and long-term platform leverage through reusable software

Pay

The expected base compensation for this role is: $184,100 - $275,450. Actual base compensation within the identified range will vary based on factors relevant to the position.

Schedule

This role is categorized as hybrid. The successful candidate is expected to report to Warren Global Technical Center, Mountain View Technical Center, or Austin Technical Center three times per week, at minimum.

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