Senior Platform Engineer — AI-Driven Cloud & Automation

General Motors; Austin (TX); Hybrid; USD 150,000 - 190,000; Full time

Job summary

General Motors seeks a Senior Software Engineer to design and deliver enterprise applications, integrations, and AI-enabled platform capabilities across security and medical portfolios. You will modernize on-prem, cloud, SaaS, and hybrid environments, boost reliability, and enable scalable integrations with secure AI-driven workflows.

You will lead migrations to SaaS, build automation, manage CI/CD pipelines, and mentor junior engineers while adopting Agile and DevSecOps practices to improve

Qualifications

• 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.

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.

Skills

Scripting Bash/Python/Java

Terraform

Cloud AWS/Azure

CI/CD pipelines

Docker/Kubernetes

PostgreSQL

MongoDB

Redis

SSO/SAML

GitHub Actions

RBAC/Security

Environment automation

Education

Bachelor’s degree in CS/Engineering/Math

Tools

Databricks Asset Bundles

GitHub

Linux

Windows Server

Docker

Kubernetes

Databricks Genie

Job description

General Motors seeks a Senior Software Engineer to design and deliver enterprise applications, integrations, and AI-enabled platform capabilities across security and medical portfolios. You will modernize on-prem, cloud, SaaS, and hybrid environments, boost reliability, and enable scalable integrations with secure AI-driven workflows.

You will lead migrations to SaaS, build automation, manage CI/CD pipelines, and mentor junior engineers while adopting Agile and DevSecOps practices to improve