{"id":2937847,"url":"https://alion.io/job/general-motors-staff-engineer-site-reliability-engineering-2","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":"A","score":100,"open_postings":8,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-10-21T05:46:15Z"}},"role":"DevOps","role_family":"DevOps","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":["Markham, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":147000,"max":196600,"currency":"CAD","period":"year","gross":null,"usd_annual":140001},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","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":"Flink","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Grafana","optional":true},{"name":"Helm","optional":true},{"name":"Kubernetes","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Prometheus","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-20T16:34:01Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-21T15:22:10Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Description\nVacancy Status:\nYes - This posting is for an existing vacancy within the organization and is open to new applications. (Backfill)\nAI Disclosure:\nAs part of the application process, Artificial Intelligence will be used in the hiring process for this role\nWork Arrangement: Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham office three times per week, at minimum.\nAbout the role\nGeneral Motors is transforming the automotive landscape through its next-generation Software-Defined Vehicle platform. Data is central tothat 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 tooperate. 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 organizationoperates.\nWhatyou’lldo\nLead the design and implementation of scalable, fault-tolerant, and observable infrastructure supporting vehicle telemetry, data ingestion, and platform operations.\n\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.\n\nDesign, implement, and improve CI/CD delivery pipelines that make releases repeatable, safe, observable, and fast. Establishappropriate qualitygates, artifact promotion, deployment verification, progressive delivery, and rollback practices.\n\nPartner across SRE, product, and application teams to design and implement meaningful SLOs, SLIs, observability,monitoringand alerting, runbooks, and operational best practices.\n\nBuild and improve reusable AI workflows, skills, and evaluations. Applyappropriate validationtechniques, including regression testing, structured evaluations, and LLM-as-a-judge approacheswhereuseful.\n\nAutomate operational work, including incident intake, triage, diagnostics, remediation, evidence collection, service requests, and customer-facing status workflows.\n\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.\n\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.\n\nPartner directly with internal customers to understand their needs, explain technical trade-offs, and improve service outcomes with tact, empathy, and clear communication.\n\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.\n\nBalance reliability, performance, security, delivery speed, and cost when making technical decisions-especially under pressure.\n\nWhat you bring\n8+ years in SRE, DevOps, or systems engineering, including experience managing or mentoring high-impact teams.\n\nTrack recordofdesigning and buildingandmaintaininghigh-scale, cloud-native systems in production (preferably Azure, AWS, or GCP).\n\nHands-on experience architecting observability patterns, including standardized instrumentation, OTELcollector configuration, SLO/SLIdefinitions, anddeploying observability resources like monitors, alerts, and dashboards.\n\nStrong understanding of production readiness, service ownership, SLOs, incident management, post-incident learning, and continuous reliability improvement.\n\nExperienceparticipatingin an on-call rotation and leading technical response to production incidents.\n\nExperience designing,operating, and improving CI/CD pipelines.Understanding ofGitOps, release strategies, quality gates, deployment verification, progressive delivery, and safe rollback is expected.\n\nStrong programming ability in Python, Go, Java, ora comparablelanguage, with disciplined code review, version control, testing, and maintainability practices.\n\nFamiliarity with AI-assisted software development, LLM application practices, agentic workflows, and evaluation techniques.\n\nAbility to work effectively with internal customers, including in difficult or high-pressure situations, with professionalism, tact, and empathy.\n\nExcellent ownership attitude and the ability tooperatewith pace, judgment, and accountability in a high-velocity environment.\n\nAbility to influence without relying on formal authority and to increase adoption of shared engineering patterns.\n\nStrong written and verbal communication skills for both technical and non-technical audiences.\n\nBS / MS / PhD in computer science, engineering, physics, mathematics, or another relevant, technical field\n\nPreferred experience\nAzure Databricks\n\nAzure Event Hubs\n\nAzure Kubernetes Service (AKS)\n\nKubernetes configuration management with Helm andKustomize\n\nInfrastructure as code, especially Terraform\n\nGitHub Actions, Argo CD, andGitOps-based deployment models\n\nPrometheus, Grafana, Datadog,OpenTelemetry, or comparable observability platforms and tools\n\nLLM application developmentand testing withPromptfoo, agentic workflowsandreusable AI skillswith CoPilot\n\nExperienceoperatinglarge-scale data ingestion, processing, and delivery systems such asFivetran, Apache Flink, Kafka, and Pulsar\n\nExperience with vehicle telemetry, connected-vehicle platforms, or other high-volume event-driven systems\n\nWhy Join Us?\nThis is more than an engineering role - it’s an opportunity to shape the future of mobility. At GM, you’ll join a team committed to cutting-edge technology, sustainability, and inclusive innovation. With meaningful projects, a collaborative culture, and a global mission, your impact will be tangible and far-reaching.\nCompensation:\nThe salary range for this role is $147,000 to $196,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.\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.\nBenefits Overview\nThe goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:\nPaid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;\nHealthcare, dental, and vision benefits;\nLife insurance plans to cover you and your family;\nCompany and matching contributions to a Defined Contribution Pension plan to help you save for retirement;\nGM Vehicle Purchase Plan for you and your family.\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.\nNon-Discrimination and Equal Employment Opportunities\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.\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, visitHow 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. 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