Hiring: Staff Software Engineer – MBFF Platform / Microservices Architecture Company: General Motors Location: Warren, MI Job Posted Time: 2026-09-02 18:02:41 Employment Type: Hybrid Target Skills & Keywords : Azure, CI/CD, Clean Architecture, Cloud Native, Event-Driven, GraphQL, Java, Kubernetes, Microservices, REST, Spring Boot, WebSocket About the job Experience: •8+ years of software engineering experience, including significant expertise in Java and Spring Boot microservices. Required Skills: •Work Arrangement: •This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX or Warren, MI three times per week. •We are seeking a highly experienced Staff Software Engineer to provide technical leadership for GM’s Mobile Backend for Frontend (MBFF) platform and associated back-office integration architecture. This role is responsible for shaping the technical direction of the platform, driving engineering excellence across microservices and cloud-native systems, and leading the adoption of scalable DevOps and AI-enabled operational practices. •This engineer will serve as a senior technical leader across the MBFF domain, influencing architecture, reliability strategy, platform standards, and cross-team execution. The role requires deep expertise in Java-based microservices, Azure cloud platforms, observability, CI/CD, and modern software delivery, along with the ability to guide teams through complex technical decisions that improve speed, quality, and operational resilience. •What You’ll Do •Lead the architecture, design, and evolution of the MBFF platform and core microservices that support GM mobile ownership experiences. •Define and drive technical strategy for scalable APIs, orchestration services, integration patterns, and platform capabilities across REST, GraphQL, WebSockets, and event-driven systems. •Establish engineering standards for service reliability, resiliency, observability, security, and operational readiness across the MBFF ecosystem, including clear SLOs, SLAs, and service health expectations. •Drive DevOps maturity by defining and improving CI/CD standards, release automation, progressive delivery, environment strategy, and production support practices across teams. •Champion AI-enabled engineering and operations by applying intelligent tooling for code generation support, anomaly detection, operational analysis, incident triage, capacity forecasting, and engineering productivity improvements. •Partner with product, architecture, security, SRE/operations, and dependent engineering organizations to align platform direction with business priorities and enterprise standards. •Guide complex design reviews, production readiness reviews, incident reviews, and modernization initiatives to improve reliability, delivery speed, and maintainability. •Mentor senior engineers and act as a force multiplier across the organization by raising technical quality, improving decision-making, and strengthening engineering execution. •Identify opportunities to reduce platform complexity, improve reuse, standardize patterns, and accelerate onboarding and delivery across MBFF services. •Ensure architecture, APIs, and platform workflows are well documented and supported by clear technical standards, playbooks, and governance. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!