Senior Software Engineer – Platform

Jobtailor; Missouri; On-site; USD 120,000 - 180,000; Full time

Job summary

General Motors is seeking a Senior Software Engineer to design and enhance delivery of enterprise applications and integrations across the Global Physical Security and Medical portfolio. The role focuses on modernizing solutions across on‑prem, cloud, SaaS, and hybrid environments, improving reliability and enabling scalable integrations.

You will help introduce AI‑enabled capabilities in practical, secure, and responsible ways, supporting automation, insights, and intelligent workflows that

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or 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.
• Security practices including RBAC, secrets management, TLS, patching, and audit controls.
• Ability to evaluate, design, and implement deployment architectures for complex data and application platforms.

Responsibilities

• Support, design, and improve delivery of enterprise applications, integrations, and intelligent platform capabilities across the Global Physical Security and Medical portfolio.
• Modernize mission-critical solutions across on‑prem, cloud, SaaS, and hybrid environments.
• Introduce AI‑enabled capabilities in practical, secure, and responsible ways.
• Build, maintain, and support COTS applications on Unix and Windows platforms.
• Deploy applications and infrastructure as code using Terraform and similar tools.
• Lead migrations to SaaS and cloud platforms.
• Create, maintain, and improve automation and operational scripts for deployments, backups, monitoring, and maintenance.
• Build and support CI/CD pipelines across applications and services.
• Monitor platform health, alerting, capacity planning, and performance tuning.

Skills

Troubleshooting

Communication

Documentation

Mentoring

Collaboration

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Engineering

Bachelor’s degree in Mathematics

Tools

Terraform

GitHub

Linux

Windows Server

SAML/SSO

Docker

Kubernetes

Job description

• 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.
• 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

• 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.

Hard Skills

• software engineering
• scripting
• automation
• Terraform
• CI/CD
• containerization
• SQL
• NoSQL
• Linux administration
• networking fundamentals

Soft Skills

• troubleshooting
• communication
• documentation
• mentoring
• collaboration

Certifications & Qualifications

• Bachelor’s degree in Computer Science
• Bachelor’s degree in Engineering
• Bachelor’s degree in Mathematics