Sr Software Engineer

General Motors
Austin, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Austin, United States of America

Tech stack

Clean Code Principles
Java
Artificial Intelligence
Automation of Tests
Azure
Cloud Computing
Cloud Engineering
Data Architecture
Software Debugging
DevOps
Distributed Systems
Python
PostgreSQL
Machine Learning
Systems Development Life Cycle
Scaled Agile Framework
Service Development Studio
Software Engineering
Software Systems
Data Streaming
Strategies of Testing
Azure
Cloud Platform System
Delivery Pipeline
Reliability of Systems
Backend
Event Driven Architecture
Containerization
Kubernetes
Information Technology
Kafka
Azure
REST
Api Management
Serverless Computing
Docker
Legacy Systems
Microservices

Job description

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX three times per week., We are seeking a highly skilled and experienced Sr Software Engineer to join our team at General Motors LLC. In this role, you will independently drive the design, development, and delivery of robust, modern software solutions within a scaled agile environment. You will leverage your expertise in software development, data architecture, automation, AI enablement, and platform modernization to solve complex problems, influence cross-functional outcomes, and deliver high-impact, scalable solutions aligned with business priorities., * Lead the design and development of complex software systems, working independently with minimal guidance.

  • Drive automation strategy and implementation across development, testing, and deployment pipelines to improve engineering efficiency and system reliability.
  • Enable and integrate AI-driven capabilities into applications and platforms, identifying opportunities to enhance business processes and customer experiences.
  • Define and implement scalable data architecture solutions that support analytics, AI use cases, and enterprise needs.
  • Lead modernization initiatives, including transforming legacy systems into cloud-native, microservices-based architectures.
  • Solve complex, non-standard technical problems using advanced analytical and debugging skills.
  • Influence and collaborate across teams to align technical solutions with broader organizational goals.
  • Actively participate in and contribute to all phases of the Scaled Agile Framework (SAFe), driving outcomes across teams.
  • Write high-quality, maintainable, and efficient code following best practices and engineering standards.
  • Own and drive the full software development lifecycle, from requirements through deployment and production support.
  • Design and implement test strategies with strong emphasis on automation to ensure system quality and reliability.
  • Mentor junior engineers and contribute to the growth of engineering excellence within the team.
  • Stay current with emerging technologies and lead adoption of best practices in AI, automation, and modern software engineering.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • 5+ years of professional software engineering experience, with a strong focus on backend systems and service development.
  • Proven experience working independently on complex projects with minimal guidance, delivering high-impact results.
  • Proficiency in Java, Python for building production-grade services.
  • Hands-on experience with Azure cloud services, such as Event Hubs, Azure Functions, AKS/Kubernetes, Azure API Management, PostgreSQL DB.
  • Experience designing and building REST APIs and event-driven architectures using Kafka or Azure Event Hubs.
  • Strong expertise in data architecture design and scalable system design.
  • Solid understanding of CI/CD pipelines, containerization (Docker, Kubernetes/OCP), and cloud-native development practices.
  • Hands-on experience with automation frameworks, DevOps practices, and modern engineering toolchains.
  • Experience with or strong understanding of AI/ML concepts, AI integrations, or AI-enabled systems.
  • Demonstrated experience in application modernization, including cloud platforms and microservices architecture.
  • Strong ability to work across distributed systems, debug complex data flows, and resolve integration issues with upstream teams.
  • Advanced debugging and problem-solving skills for complex systems.
  • Practical experience working within the Scaled Agile Framework (SAFe).
  • Experience owning and delivering across the full Software Development Lifecycle (SDLC).
  • Experience designing and implementing automated testing strategies.
  • Demonstrated ability to influence cross-functional teams and contribute to broader engineering initiatives.
  • Excellent communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders across global teams.

About the company

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., 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.

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