Staff Engineer, Site Reliability Engineering

Vacancy Status:

Yes - This posting is for an existing vacancy within the organization and is open to new applications. (Backfill)

AI Disclosure:

As part of the application process Artificial Intelligence will be used in the hiring process for this role

Work 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.

About the role

General 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.

We are seeking a Staff Engineer to help make GMs 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 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.

Whatyoulldo

• 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 teamsengaging 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. Establishappropriate qualitygates artifact promotion deployment verification progressive delivery and rollback practices.

• Partner across SRE product and application teams to design and implement meaningful SLOs SLIs observabilitymonitoringand alerting runbooks and operational best practices.

• Build and improve reusable AI workflows skills and evaluations. Applyappropriate validationtechniques including regression testing structured evaluations and LLM-as-a-judge approacheswhereuseful.

• 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 decisionsespecially under pressure.
  

What you bring

• 8 years in SRE DevOps or systems engineering including experience managing or mentoring high-impact teams.

• Track recordofdesigning and buildingandmaintaininghigh-scale cloud-native systems in production (preferably Azure AWS or GCP).

• Hands-on experience architecting observability patterns including standardized instrumentation OTELcollector configuration SLO/SLIdefinitions anddeploying observability resources like monitors alerts and dashboards.

• Strong understanding of production readiness service ownership SLOs incident management post-incident learning and continuous reliability improvement.

• Experienceparticipatingin an on-call rotation and leading technical response to production incidents.

• Experience designingoperating and improving CI/CD pipelines.Understanding ofGitOps release strategies quality gates deployment verification progressive delivery and safe rollback is expected.

• Strong programming ability in Python Go Java ora comparablelanguage with disciplined code review version control testing and maintainability practices.

• Familiarity with AI-assisted software development LLM application practices agentic workflows and evaluation techniques.

• Ability to work effectively with internal customers including in difficult or high-pressure situations with professionalism tact and empathy.

• Excellent ownership attitude and the ability tooperatewith pace judgment and accountability in a high-velocity environment.

• Ability to influence without relying on formal authority and to increase adoption of shared engineering patterns.

• Strong written and verbal communication skills for both technical and non-technical audiences.

• BS / MS / PhD in computer science engineering physics mathematics or another relevant technical field

Preferred experience

• Azure Databricks

• Azure Event Hubs

• Azure Kubernetes Service (AKS)

• Kubernetes configuration management with Helm andKustomize

• Infrastructure as code especially Terraform

• GitHub Actions Argo CD andGitOps-based deployment models

• Prometheus Grafana DatadogOpenTelemetry or comparable observability platforms and tools

• LLM application developmentand testing withPromptfoo agentic workflowsandreusable AI skillswith CoPilot

• Experienceoperatinglarge-scale data ingestion processing and delivery systems such asFivetran Apache Flink Kafka and Pulsar

• Experience with vehicle telemetry connected-vehicle platforms or other high-volume event-driven systems