Senior Software Engineer - Platform
General Motors
Senior Software Engineer - Platform
Job Description
Job DescriptionThe Role: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.What You'll Do:Build, maintain, and support COTS applications on Unix and Windows platforms that are essential to business operationsDeploy applications and infrastructure as code using Terraform and similar toolsLead and support application migrations to SaaS and cloud-based platformsCreate, maintain, and improve automation and operational scripts for deployments, backups, monitoring, rollbacks, and routine maintenanceBuild and support CI/CD pipelines across applications, integrations, and platform servicesMonitor platform health and data pipelines, including alerting, capacity planning, performance tuning, and operational readinessPlan and execute backups, disaster recovery testing, and restore procedures for supported applicationsEnforce security best practices including secrets management, RBAC, patching, vulnerability remediation, SSO/SAML, and audit loggingTroubleshoot incidents across the application and integration stack, perform root cause analysis, and produce post-incident documentationMaintain runbooks, playbooks, technical documentation, and regular housekeeping proceduresDrive improvements in system reliability, maintainability, observability, and supportabilityApply modern engineering practices including Agile, DevSecOps, CI/CD, automated testing, and release governanceIdentify and implement AI and intelligent automation opportunities that improve efficiency, user experience, and business outcomesDevelop agentic AI solutions that streamline business processes and enable practical, secure, and responsible use of AIEvaluate new tools and technologies through proofs of conceptMentor junior engineers and collaborate cross-functionally to deliver scalable platform and integration solutionsYour Skills & Abilities (Required Qualifications):Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field5+ years of professional software engineering, systems engineering, or platform support experienceStrong experience with scripting and automation using Bash, Python, Java or similar languagesHands-on experience with Terraform, GitHub, Linux, Windows Server, and SSO/SAMLExperience with cloud platforms such as AWS and/or AzureExperience building and supporting CI/CD pipelines, deployment automation, testing strategies, and environment promotionExperience with Databricks Asset Bundles, GitHub Actions, or similar modern delivery toolingExperience deploying and supporting containerized applications using Docker, Kubernetes, or similar technologiesExperience with SQL and NoSQL databases such as PostgreSQL, MongoDB, and RedisStrong Linux administration and networking fundamentalsSolid understanding of security practices including RBAC, secrets management, TLS, patching, and audit controlsDemonstrated ability to evaluate, design, and implement deployment architectures for complex data and application platformsExcellent troubleshooting, communication, and documentation skillsWhat Will Give You A Competitive Edge (Preferred Qualifications):Experience with BrowserStackExperience with OTEL, DataDog, and modern observability practicesPractical experience with tools such as Databricks Genie, Glean, Cursor, GitHub Copilot, or similar AI-enabled engineering toolsFamiliarity with MCP-style integrations and AI tools that connect to enterprise systems and servicesExperience applying AI and LLM capabilities to operational workflows, analytics, and decision supportAbility to uncover patterns and insights in structured and semi-structured data and translate them into business actionsExperience building real-time alerts, operational signals, predictive indicators, or intelligent automation workflowsStrong 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.
About GMOur 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.Why Join Us 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.Benefits OverviewFrom 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.Non-Discrimination and Equal Employment Opportunities (U.S.)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.AccommodationsGeneral 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.
Locations
- United States of America, Michigan, Warren
- United States of America, Texas, Austin
Skills Required
- scriptingintermediate
- Terraformintermediate
- cloud platforms such as AWS and/or Azureintermediate
- and supporting CI/CD pipelinesintermediate
- Databricks Asset Bundlesintermediate
- SQLintermediate
- BrowserStackintermediate
- OTELintermediate
- tools such as Databricks Genieintermediate
- MCP-style integrationsintermediate
- real-time alertsintermediate
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (degree in computer science)
- 5+ years of professional software engineering, systems engineering, or platform support experience (experience, 5 years)
- Strong experience with scripting and automation using Bash, Python, Java or similar languages (experience)
- Hands-on experience with Terraform, GitHub, Linux, Windows Server, and SSO/SAML (experience)
- Experience with cloud platforms such as AWS and/or Azure (experience)
- Experience building and supporting CI/CD pipelines, deployment automation, testing strategies, and environment promotion (experience)
- Experience with Databricks Asset Bundles, GitHub Actions, or similar modern delivery tooling (experience)
- Experience deploying and supporting containerized applications using Docker, Kubernetes, or similar technologies (experience)
- Experience with SQL and NoSQL databases such as PostgreSQL, MongoDB, and Redis (experience)
- Strong Linux administration and networking fundamentals (experience)
- Solid understanding of security practices including RBAC, secrets management, TLS, patching, and audit controls (experience)
- Demonstrated ability to evaluate, design, and implement deployment architectures for complex data and application platforms (experience)
- Excellent troubleshooting, communication, and documentation skills (experience)
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (degree in computer science)
- 5+ years of professional software engineering, systems engineering, or platform support experience (experience, 5 years)
- Strong experience with scripting and automation using Bash, Python, Java or similar languages (experience)
- Hands-on experience with Terraform, GitHub, Linux, Windows Server, and SSO/SAML (experience)
- Experience with cloud platforms such as AWS and/or Azure (experience)
- Experience building and supporting CI/CD pipelines, deployment automation, testing strategies, and environment promotion (experience)
- Experience with Databricks Asset Bundles, GitHub Actions, or similar modern delivery tooling (experience)
- Experience deploying and supporting containerized applications using Docker, Kubernetes, or similar technologies (experience)
- Experience with SQL and NoSQL databases such as PostgreSQL, MongoDB, and Redis (experience)
- Strong Linux administration and networking fundamentals (experience)
- Solid understanding of security practices including RBAC, secrets management, TLS, patching, and audit controls (experience)
- Demonstrated ability to evaluate, design, and implement deployment architectures for complex data and application platforms (experience)
- Excellent troubleshooting, communication, and documentation skills (experience)
Preferred Qualifications
- Experience with BrowserStack (experience)
- Experience with OTEL, DataDog, and modern observability practices (experience)
- Practical experience with tools such as Databricks Genie, Glean, Cursor, GitHub Copilot, or similar AI-enabled engineering tools (experience)
- Familiarity with MCP-style integrations and AI tools that connect to enterprise systems and services (experience)
- Experience applying AI and LLM capabilities to operational workflows, analytics, and decision support (experience)
- Ability to uncover patterns and insights in structured and semi-structured data and translate them into business actions (experience)
- Experience building real-time alerts, operational signals, predictive indicators, or intelligent automation workflows (experience)
- Strong ability to frame AI-assisted analytical problems, evaluate model output quality, and apply responsible AI practices across governance, security, privacy, and quality (experience)
- Experience with BrowserStack (experience)
- Experience with OTEL, DataDog, and modern observability practices (experience)
- Practical experience with tools such as Databricks Genie, Glean, Cursor, GitHub Copilot, or similar AI-enabled engineering tools (experience)
- Familiarity with MCP-style integrations and AI tools that connect to enterprise systems and services (experience)
- Experience applying AI and LLM capabilities to operational workflows, analytics, and decision support (experience)
- Ability to uncover patterns and insights in structured and semi-structured data and translate them into business actions (experience)
- Experience building real-time alerts, operational signals, predictive indicators, or intelligent automation workflows (experience)
- Strong ability to frame AI-assisted analytical problems, evaluate model output quality, and apply responsible AI practices across governance, security, privacy, and quality (experience)
Responsibilities
- 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
- 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
Benefits
- general: 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.
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