Senior Microservices Engineer for MBFF Platform (Azure)

General Motors

Warren (MI)

On-site

USD 140,000 - 180,000

Full time

3 days ago

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Benefits offered by this job

Relocation benefits

Job summary

General Motors is seeking a Senior Software Engineer to design, build, and optimize the Mobile Backend for Frontend (MBFF) platform and back-office integrations powering GM mobile ownership experiences.

You will develop scalable microservices with Java/Spring Boot, deploy on Azure, and advance API development, cloud-native operations, DevOps automation, and observability for reliable, secure services.

Qualifications

Bachelor’s 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.

Responsibilities

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 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.