Jobs / General Motors (GM)
Senior Software Developer – DevOps
General Motors (GM) · Markham, ON, Canada
Markham, ON, CanadaExp: 7+ yrs115,000-164,600 CAD/yearlyHybrid
Remuneration
$115,000 to $164,600 + Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave; Healthcare, dental, and vision benefits; Life insurance plans to cover you and your family; Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement; GM Vehicle Purchase Plan for you, your family and friends.
Location
Markham, ON, Canada
Visa sponsorship
No visa sponsorship
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
Job summary
General Motors is seeking a Senior DevOps Developer to join their Virtualization and Software-in-the-Loop (SIL) Integration group. This role involves building automation, pipelines, and cloud-native systems to enhance developer velocity and enable large-scale virtual validation. The successful candidate will deepen architectural skills and gain exposure to cloud orchestration, IaC, progressive delivery, and advanced simulation workflows.
Benefits
Paid time off including vacation days, holidays, and supplemental benefits for pHealthcare, dental, and vision benefitsLife insurance plans to cover you and your familyCompany and matching contributions to a Defined Contribution Pension plan to helGM Vehicle Purchase Plan for you, your family and friends
Qualifications
- Bachelor’s or Master’s degree in Engineering, Computer Science, or related field
- 7+ years of relevant experience in DevOps, CI/CD, automation, or software development
- Hands-on CI/CD experience with GitHub Actions, Jenkins, GitLab, or Azure DevOps
- Strong scripting skills (Python, Bash, PowerShell)
- Experience with containers and Kubernetes fundamentals
- Familiarity with embedded or model-based development (MATLAB/Simulink, code generation, vECUs)
- Understanding of cloud platforms (AWS, Azure, or GCP)
- Knowledge of deployment strategies and release automation
Responsibilities
- Design and maintain CI/CD pipelines for virtual ECUs, embedded software, and simulation artifacts
- Automate build, test, and packaging workflows across C++, Python, MATLAB/Simulink, and model-based toolchains
- Operate containerized simulation environments using Docker and Kubernetes
- Implement GitOps workflows for multi-cluster consistency and reliability
- Optimize developer velocity through caching, artifact reuse, and workflow simplification
- Integrate observability into pipelines for traceability, metrics, and debugging
- Collaborate with embedded, simulation, and controls teams to align delivery with model-based development workflows
- Support cloud-based SIL execution for large-scale parallel simulation
Skills
AWSAzureAzure DevOpsBashC++DockerGCPGitHubGitHub ActionsGitLabJenkinsKubernetesOpen Policy AgentPowerShellPythonSigstoreTerraformGitLab CI
Degrees
Bachelor’s degree in EngineeringMaster’s degree in EngineeringBachelor’s degree in Computer ScienceMaster’s degree in Computer ScienceBachelor’s degree in related fieldMaster’s degree in related field
Relocation
No