{"id":2107929,"url":"https://alion.io/job/general-motors-staff-engineer-site-reliability-engineering","title":"Staff Engineer, Site Reliability Engineering","company":{"id":1705,"name":"General Motors","domain":"gm.com","url":"https://alion.io/company/general-motors-europe","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":63,"ghost_share":0,"stale_share":0.841,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warren, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":151000,"max_usd":300000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":437},"experience_years_min":8,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"GitOps","optional":false},{"name":"Go","optional":false},{"name":"Incident Management","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Progressive Delivery","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Apache Pulsar","optional":true},{"name":"ArgoCD","optional":true},{"name":"Azure AKS","optional":true},{"name":"Configuration Management","optional":true},{"name":"Copilot","optional":true},{"name":"Databricks","optional":true},{"name":"Datadog","optional":true},{"name":"Fivetran","optional":true},{"name":"Flink","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Grafana","optional":true},{"name":"Helm","optional":true},{"name":"Kubernetes","optional":true},{"name":"Kustomize","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Prometheus","optional":true},{"name":"Promptfoo","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-08T21:04:39Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-25T15:41:09Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"Job Description\nAbout the role\nGeneral 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.\nWe 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.\nYou 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.\nWhat you’ll do\nLead the design and implementation of scalable, fault-tolerant, and observable infrastructure supporting vehicle telemetry, data ingestion, and platform operations.\nLead 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.\nDesign, 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.\nPartner across SRE, product, and application teams to design and implement meaningful SLOs, SLIs, observability, monitoring and alerting, runbooks, and operational best practices.\nBuild 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.\nAutomate operational work, including incident intake, triage, diagnostics, remediation, evidence collection, service requests, and customer-facing status workflows.\nParticipate 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.\nParticipate in post-incident reviews and drive durable, system-level fixes that prevent recurrence rather than relying on short-term patches or repeated manual workarounds.\nPartner directly with internal customers to understand their needs, explain technical trade-offs, and improve service outcomes with tact, empathy, and clear communication.\nInfluence 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.\nBalance reliability, performance, security, delivery speed, and cost when making technical decisions-especially under pressure.\nWhat you bring\n8+ years in SRE, DevOps, or systems engineering, including experience managing or mentoring high-impact teams.\nTrack record of designing and building and maintaining high-scale, cloud-native systems in production (preferably Azure, AWS, or GCP).\nHands-on experience architecting observability patterns, including standardized instrumentation, OTEL collector configuration, SLO/SLI definitions, and deploying observability resources like monitors, alerts, and dashboards.\nStrong understanding of production readiness, service ownership, SLOs, incident management, post-incident learning, and continuous reliability improvement.\nExperience participating in an on-call rotation and leading technical response to production incidents.\nExperience designing, operating, and improving CI/CD pipelines. Understanding of GitOps, release strategies, quality gates, deployment verification, progressive delivery, and safe rollback is expected.\nStrong programming ability in Python, Go, Java, or a comparable language, with disciplined code review, version control, testing, and maintainability practices.\nFamiliarity with AI-assisted software development, LLM application practices, agentic workflows, and evaluation techniques.\nAbility to work effectively with internal customers, including in difficult or high-pressure situations, with professionalism, tact, and empathy.\nExcellent ownership attitude and the ability to operate with pace, judgment, and accountability in a high-velocity environment.\nAbility to influence without relying on formal authority and to increase adoption of shared engineering patterns.\nStrong written and verbal communication skills for both technical and non-technical audiences.\nBS / MS / PhD in computer science, engineering, physics, mathematics, or another relevant, technical field\nPreferred experience\nAzure Databricks\nAzure Event Hubs\nAzure Kubernetes Service (AKS)\nKubernetes configuration management with Helm and Kustomize\nInfrastructure as code, especially Terraform\nGitHub Actions, Argo CD, and GitOps-based deployment models\nPrometheus, Grafana, Datadog, OpenTelemetry, or comparable observability platforms and tools\nLLM application development and testing with Promptfoo, agentic workflows and reusable AI skills with CoPilot\nExperience operating large-scale data ingestion, processing, and delivery systems such as Fivetran, Apache Flink, Kafka, and Pulsar\nExperience with vehicle telemetry, connected-vehicle platforms, or other high-volume event-driven systems\nWhy join us?\nThis is an opportunity to shape the reliability foundations of GM’s next generation of connected, software-defined vehicles. You will work on meaningful systems at global scale while helping define how modern SRE teams use automation, observability, operational excellence, and AI to deliver better outcomes for customers.\n\nGM 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).\n\nThis role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.\n\nThis job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.\n\nAbout GM\nOur 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.\nWhy Join Us\nWe 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.\nBenefits Overview\nFrom day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.\nNon-Discrimination and Equal Employment Opportunities (U.S.)\nGeneral Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.\nAll employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.\nWe encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.\nAccommodations\nGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.","description_format":"text","description_chars":8924,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Automotive Manufacturing"],"lifecycle":[{"event":"open","at":"2026-10-08T21:04:39Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 795 · green card filings: 1","filings_12m":795,"filings_prev_12m":812,"green_card_filings_12m":1,"median_offered_wage_usd":147456,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":8}],"liveness":{"score":27,"band":"fade","label":"Fading","p_open":0.9,"p_active":0.539,"p_room":0.55,"age_days":16,"expected_fill_days":12,"reasons":["conf:72","stale_co","velocity","win:tail","comp:brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":null,"html_url":"https://alion.io/job/general-motors-staff-engineer-site-reliability-engineering","json_url":"https://alion.io/job/general-motors-staff-engineer-site-reliability-engineering.json","meta":{"generated_at":"2026-10-26T05:15:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":7024,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1705},"rest":"https://alion.io/mcp/rest/get_company?id=1705"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgeneral-motors-staff-engineer-site-reliability-engineering"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgeneral-motors-staff-engineer-site-reliability-engineering"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgeneral-motors-staff-engineer-site-reliability-engineering"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/general-motors-staff-engineer-site-reliability-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgeneral-motors-staff-engineer-site-reliability-engineering"}]}