Senior Software Engineer – Microservices MBFF Platform

Job Description

The Role

We are seeking an experienced and highly motivated Senior Software Engineer to design build and optimize the Mobile Backend for Frontend (MBFF) platform and back-office integration services that power GM mobile ownership experiences. This role will focus on building secure scalable and resilient microservices using Java and Spring Boot while advancing modern engineering practices across API development cloud-native operations DevOps automation and observability.

The ideal candidate brings strong technical depth in microservices hands-on cloud engineering experience in Azure and a practical understanding of how AI-enabled tools can improve engineering productivity and operational insight. This engineer will play a key role in delivering platform capabilities that improve reliability accelerate delivery and simplify how mobile applications integrate with GM enterprise systems.

What Youll Do

• Design develop and maintain scalable microservices REST APIs GraphQL APIs and event-driven integrations using Java and Spring Boot.

• Build secure reliable and performant backend services that support mobile application experiences and enterprise workflows.

• Deploy and operate services on Azure using AKS API Management Functions Cosmos DB SQL Database and related cloud-native services.

• Strengthen DevOps practices by building and maintaining CI/CD pipelines deployment automation environment consistency and release governance using Azure DevOps and Git-based workflows.

• Improve system observability through metrics logging tracing dashboards alerting and service health monitoring using tools such as Datadog Grafana Prometheus Loki and Azure Monitor.

• Define monitor and continuously improve service reliability through meaningful SLOs SLAs and operational health indicators aligned to customer and business expectations.

• Apply AI-enabled engineering practices to improve developer productivity code quality operational insight anomaly detection incident triage and capacity awareness.

• Use Test-Driven Development (TDD) and strong engineering fundamentals to deliver maintainable well-tested software with robust unit integration and functional test coverage.

• Partner with product architecture security and dependent engineering teams to deliver solutions aligned to business and customer needs.

• Mentor engineers on microservices design API standards testing strategy observability and DevOps best practices.

• Contribute to architecture documentation operational runbooks API documentation and engineering standards across the team.

Additional Job Description

Your Skills & Abilities (Required Qualifications)

• Bachelors degree in Computer Science Engineering or related field or equivalent practical experience.

• 5 years of software engineering experience including strong hands-on development in Java and Spring Boot.

• Proven experience designing and building microservices and RESTful APIs in distributed systems.

• Experience working with cloud platforms preferably Azure including containerized deployments and managed services.

• Strong understanding of DevOps principles CI/CD pipelines infrastructure-aware development and automated deployment practices.

• Experience with Test-Driven Development (TDD) automated testing frameworks such as JUnit and Mockito and modern software engineering best practices.

• Strong experience with SQL databases such as Oracle or PostgreSQL.

• Strong communication collaboration and problem-solving skills with the ability to work effectively across teams.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Experience with GraphQL WebSockets and event-driven or asynchronous architecture patterns.

• Experience with NoSQL technologies such as Cosmos DB or Cassandra.

• Hands-on experience with Azure services such as AKS API Management Functions Cosmos DB SQL Database Azure Monitor and Application Insights.

• Exposure to Google Cloud Platform (GCP) is a plus.

• Experience with observability tooling such as Datadog Grafana Prometheus Loki OpenTelemetry or similar monitoring platforms.

• Practical experience with Docker Kubernetes release automation and production support in cloud-native environments.

• Experience using AI-assisted development tools and applying AI-driven operational capabilities for log analysis incident response anomaly detection or engineering productivity.

• Knowledge of security best practices including OAuth2 JWT secrets management and API gateway patterns.

• Familiarity with mobile backend workflows enterprise integration patterns and ownership experiences platforms.

• Experience working in Agile product teams and mentoring engineers through design reviews code reviews and delivery execution.

Additional Information:

This job may be eligible for relocation benefits

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.)

About GM

Our 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 Overview

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