Jobs / United States / General Motors Company
Staff Engineer, Site Reliability Engineering
General Motors Company · 🇺🇸 Warren, Michigan, United States of America
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 About the role General Motors is transforming the automotive landscape through its next-generation Software-Defined Vehicle platform. Data is central to that transformation, powering safety, personalization, energy optimization, operational decision-making, and connected customer experiences. We are seeking a Staff Engineer to help make GM’s data platforms reliable, observable, operable, and scalable. This is a senior technical leadership role for someone who can move comfortably between system-level design, production operations, incident response, automation, and customer partnership. You will help define and spread the engineering patterns that make services easier to operate. You will work with SRE, data engineering, infrastructure, developer experience, application, and product teams to improve reliability from design through production and continuously improve how the organization operates. What you’ll do • Lead the design and implementation of scalable, fault-tolerant, and observable infrastructure supporting vehicle telemetry, data ingestion, and platform operations. • Lead production readiness efforts across multiple teams—engaging directly in code, shaping reliability standards, guiding architectural improvements, and ensuring applications launch with resilient deployments, strong observability, and predictable operations. • Design, implement, and improve CI/CD delivery pipelines that make releases repeatable, safe, observable, and fast. Establish appropriate quality gates, artifact promotion, deployment verification, progressive delivery, and rollback practices. • Partner across SRE, product, and application teams to design and implement meaningful SLOs, SLIs, observability, monitoring and alerting, runbooks, and operational best practices. • Build and improve reusable AI workflows, skills, and evaluations. Apply appropriate validation techniques, including regression testing, structured evaluations, and LLM-as-a-judge approaches where useful. • Automate operational work, including incident intake, triage, diagnostics, remediation, evidence collection, service requests, and customer-facing status workflows. • Participate in a weekly on-call rotation with 12-hour shifts; the rotation cycles every eight weeks. Lead incident response, communicate clearly under pressure, and coordinate effective mitigation and recovery. • Participate in post-incident reviews and drive durable, system-level fixes that prevent recurrence rather than relying on short-term patches or repeated manual workarounds. • Partner directly with internal customers to understand their needs, explain technical trade-offs, and improve service outcomes with tact, empathy, and clear communication. • Influence technical direction across teams, mentor engineers, and raise engineering standards through design reviews, code reviews, documentation, and hands-on leadership with cross-functional engineering projects. • Balance reliability, performance, security, delivery speed, and cost when making technical decisions—especially under pressure. What you bring • 8+ years in SRE, DevOps, or systems engineering, including experience managing or mentoring high-impact teams. • Track record of designing and building and maintaining high-scale, cloud-native systems in production (preferably Azure, AWS, or GCP). • Hands-on experience architecting observability patterns, including standardized instrumentation, OTEL collector configuration, SLO/SLI definitions, and deploying observability resources like monitors, alerts, and dashboards. • Strong understanding of production readiness, service ownership, SLOs, incident management, post-incident learning, and continuous reliability improvement. • Experience participating in an on-call rotation