Senior Software Engineer - Self Service Automation

Job Description The Role The Enterprise SaaS & AI (SAI) organization delivers critical technology platforms and services that power GM Software & Services and the broader GM IT ecosystem.

Within SAI, the Self-Service Automation Tools team builds day-two automation for systems administrators and application teams-automating complex operational activities such as patching, release management, automated application restarts, password rotations & management, and enterprise-scale orchestration.

Our platforms have already transformed how IT operates at GM-reducing manual effort, improving security, and increasing reliability at scale.

We're just getting started. We're looking for a senior, high-impact engineer with modern cloud development experience and a passion for automation to help shape the next phase of our platform and capabilities.

As a Sr Software Engineer, you will be a technical owner of GM's self-service automation platforms, responsible for designing, building, and operating scalable automation solutions used across the enterprise.

You'll partner closely with application teams, security, and platform stakeholders to deliver secure, reliable, and intuitive self-service experiences-while reducing operational toil and improving compliance.

This role combines hands-on engineering, architectural leadership, and operational ownership. You'll work alongside a team of experienced engineers and help foster a culture of engineering excellence, innovation, accountability, and inclusivity.

What You'll Do Design, build, and operate enterprise-scale self-service automation platforms that improve IT efficiency and security. Lead the architecture and design of complex, distributed, cloud-native systems.

Develop secure, scalable microservices and user-friendly front-end experiences supporting automation use cases such as: Automated password rotations and management Patching and release management Application start/stop/restart workflows End-to-end automation orchestration Implement AI-assisted workflows and intelligent automation to expand self-service capabilities and reduce support demand.

Establish and enforce coding standards, best practices, and architectural patterns. Instrument and observe production systems using logging, metrics, and tracing to ensure reliability and performance.

Own Tier 2/3 operational responsibilities, including on-call support, incident response, troubleshooting, and root-cause analysis. Proactively improve system reliability, availability, and resiliency.

Monitor platform adoption and effectiveness; define KPIs and produce usage and impact reporting for leadership. Collaborate closely with Security & Compliance, DevOps, product, and engineering teams.

Participate in Agile planning and maintain high-quality technical documentation. Evaluate and introduce new tools and technologies to improve platform capabilities and developer productivity.

Mentor junior engineers through code reviews, design guidance, and technical leadership. Your Skills & Abilities (Required Qualifications) Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. 7+ years of professional software engineering experience.

Strong proficiency in Java and .NET, with experience building production-grade systems. Hands-on experience building end-to-end cloud-native applications, including deployment to Kubernetes and OpenShift.

Deep understanding of microservices architecture and distributed systems. Full-stack development experience and strong CI/CD practices. Experience with relational and non-relational databases, including schema design.

Solid foundation in software engineering fundamentals (design patterns, data structures, algorithms). Experience working in Agile development environments.

Strong communication skills with the ability to translate requirements into scalable solutions. Proven ability to debug complex systems, manage incidents, and drive root-cause analysis.

Ability to work independently, manage multiple priorities, and collaborate across teams. Demonstrated ownership of technical projects from design through production.

What Can Give You a Competitive Advantage (Preferred Qualifications) Front-end: JavaScript, HTML/CSS, Angular, Node.js Back-end: Java (Spring Boot), .NET Core / C# Databases: SQL, PostgreSQL Cloud & Platform: Kubernetes, OpenShift Build & CI/CD: Maven, Git/GitHub, Artifactory, automated pipelines Observability: OpenTelemetry, DataDog, ELK, distributed caching, metrics and tracing API management experience ServiceNow integration experience (including Flow Designer or orchestration) Strong understanding of enterprise security best practices and compliance Experience with hybrid cloud and enterprise automation platforms Familiarity with enterprise identity, credential management, and security automation 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. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.