Jobs / United States / General Motors Company
Staff Software Engineer – Microservices Architecture
General Motors Company · 🇺🇸 2 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 606 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 267 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What General Motors Company paid sponsored hires in similar roles171 certified filings for “Senior Software Engineer” (Software Developers) in MI: $140k–$163k, median $150k. Most were filed at wage level IV (74%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — General Motors Company
The US Department of Labor certified 606 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 267 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for General Motors Company →
About the role
Job Description 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. The Role 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. Your Skills & Abilities (Required Qualifications) • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience. • 8+ years of software engineering experience, including significant expertise in Java and Spring Boot microservices. • Demonstrated experience leading architecture and technical direction for distributed systems or platform-level backend services. • Deep experience designing and operating scalable microservices, APIs, and cloud-native applications in production environments. • Strong hands-on experience with Azure cloud services, Kubernetes-based deployments, and modern DevOps practices. • Proven ability to define and improve CI/CD pipelines, release practices, observability strategy, and operational excellence standards. • Strong understanding of software quality practices including TDD, automated testing, code review discipline, and engineering governanc