Senior Software Engineer - Platform

2 Locationssenior

Software EngineerSoftware Engineering

0 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

Build, maintain,

Requirements Summary

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field 5+ years of professional software engineering, systems engineering,

Technical Tools

Software EngineerSoftware Engineering

General Motors is seeking a Senior Software Engineer to support, design, and improve delivery of enterprise applications, integrations, and intelligent platform capabilities across the Global Physical Security and Medical portfolio. This role focuses on modernizing mission-critical solutions across on-prem, cloud, SaaS, and hybrid environments, strengthening system reliability, enabling scalable integrations, and driving technical execution across a complex operational landscape. The Senior Software Engineer will also help introduce AI-enabled capabilities in practical, secure, and responsible ways, supporting automation, advanced insights, and intelligent workflows that improve both service delivery and business decision-making.

Responsibilities

~1 min read

→
Build, maintain, and support COTS applications on Unix and Windows platforms that are essential to business operations
→
Deploy applications and infrastructure as code using Terraform and similar tools
→
Lead and support application migrations to SaaS and cloud-based platforms
→
Create, maintain, and improve automation and operational scripts for deployments, backups, monitoring, rollbacks, and routine maintenance
→
Build and support CI/CD pipelines across applications, integrations, and platform services
→
Monitor platform health and data pipelines, including alerting, capacity planning, performance tuning, and operational readiness
→
Plan and execute backups, disaster recovery testing, and restore procedures for supported applications
→
Enforce security best practices including secrets management, RBAC, patching, vulnerability remediation, SSO/SAML, and audit logging
→
Troubleshoot incidents across the application and integration stack, perform root cause analysis, and produce post-incident documentation
→
Maintain runbooks, playbooks, technical documentation, and regular housekeeping procedures
→
Drive improvements in system reliability, maintainability, observability, and supportability
→
Apply modern engineering practices including Agile, DevSecOps, CI/CD, automated testing, and release governance
→
Identify and implement AI and intelligent automation opportunities that improve efficiency, user experience, and business outcomes
→
Develop agentic AI solutions that streamline business processes and enable practical, secure, and responsible use of AI
→
Evaluate new tools and technologies through proofs of concept
→
Mentor junior engineers and collaborate cross-functionally to deliver scalable platform and integration solutions

Requirements

~2 min read

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
5+ years of professional software engineering, systems engineering, or platform support experience
Strong experience with scripting and automation using Bash, Python, Java or similar languages
Hands-on experience with Terraform, GitHub, Linux, Windows Server, and SSO/SAML
Experience with cloud platforms such as AWS and/or Azure
Experience building and supporting CI/CD pipelines, deployment automation, testing strategies, and environment promotion
Experience with Databricks Asset Bundles, GitHub Actions, or similar modern delivery tooling
Experience deploying and supporting containerized applications using Docker, Kubernetes, or similar technologies
Experience with SQL and NoSQL databases such as PostgreSQL, MongoDB, and Redis
Strong Linux administration and networking fundamentals
Solid understanding of security practices including RBAC, secrets management, TLS, patching, and audit controls
Demonstrated ability to evaluate, design, and implement deployment architectures for complex data and application platforms
Excellent troubleshooting, communication, and documentation skills

Experience with BrowserStack
Experience with OTEL, DataDog, and modern observability practices
Practical experience with tools such as Databricks Genie, Glean, Cursor, GitHub Copilot, or similar AI-enabled engineering tools
Familiarity with MCP-style integrations and AI tools that connect to enterprise systems and services
Experience applying AI and LLM capabilities to operational workflows, analytics, and decision support
Ability to uncover patterns and insights in structured and semi-structured data and translate them into business actions
Experience building real-time alerts, operational signals, predictive indicators, or intelligent automation workflows
Strong ability to frame AI-assisted analytical problems, evaluate model output quality, and apply responsible AI practices across governance, security, privacy, and quality

#LI-SB3

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.

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.

What We Offer

~1 min read

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.