Senior Software Engineer - Vehicle Experience Services
Builds and maintains cloud-native Java microservices that connect GM vehicles to the cloud, using Spring Boot, Kafka, PostgreSQL, and Azure while ensuring reliability and observability.
- Compensation
- Not disclosed
- Location
- Warren, Michigan, United States of America
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 5+ years of professional software engineering experience building production-grade services or platforms
- Cloud-native development
- Microservices and REST/gRPC APIs
- Containers and orchestration (e.g., Kubernetes, Docker)
- CI/CD pipelines and automated testing
- Design and operate scalable, distributed systems with focus on reliability, observability, and performance
- Agile environment and cross-functional collaboration
- Spring, Event Hub messaging, Azure
- Java microservices using Spring Boot 3.2+ and Java 17+
- Event-driven integrations using Spring Kafka
- PostgreSQL schema design, queries, and migrations
- Monitoring and alerting systems using Datadog
- Bachelor’s degree or equivalent practical experience
Nice to have
- Python
- pyTest Automation framework
- Robot/Autobot framework
- Jenkins
- Appium
Full description
Job DescriptionWork Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI, or Austin, TX three times per week.
The Role
The Senior Software Engineer – Vehicle Experience Services will play a key role in designing, building, and supporting the platforms and services that connect GM vehicles with the cloud. You will work across cloud, network, and in-vehicle integrations to ensure reliable, secure, and scalable connectivity that enables our current and next-generation connected vehicle experiences.
This role is ideal for an engineer who is comfortable owning complex distributed systems, collaborating with internal and external partners, and driving hands-on implementation from architecture through production support.
What you'll do:
- Design, develop, and maintain Java microservices using Spring Boot 3.2+ and Java 17+ in a cloud-native environment.
- Implement and support event-driven integrations using Spring Kafka (producers, consumers, error handling, retries, and monitoring).
- Design and optimize PostgreSQL schemas, queries, and migrations to ensure data integrity and performance.
- Build and enhance robust monitoring and alerting systems using Datadog (dashboards, metrics, logs, traces, alerts) for owned services.
- Collaborate with product, architecture, and other engineering teams in the Carrier and Vehicle Services Platform area to refine requirements and deliver features.
- Partner with operational teams to troubleshoot and resolve production issues, including log/metric analysis and root-cause investigations along with participating in on-call rotations to support carrier and vehicle experience services.
- Participate in code reviews, contribute to coding standards, and ensure best practices for quality, performance, and security.
- Contribute to and maintain technical documentation, runbooks, and support guides for services.
- Act as a technical mentor and thought partner within the team, helping elevate engineering practices.
- Work within an agile, team-oriented environment, contributing to planning, estimation, and continuous improvement.
- Develop automated functional tests for components and system-level quality assurance
Your Skills and Abilities (Required Qualifications):
- Bachelor’s degree or equivalent practical experience.
- 5+ years of professional software engineering experience building production-grade services or platforms.
- Hands-on experience with cloud-native development
- Microservices and REST/gRPC APIs
- Containers and orchestration (e.g., Kubernetes, Docker)
- CI/CD pipelines and automated testing
- Demonstrated experience designing and operating scalable, distributed systems with a focus on reliability, observability, and performance