Staff Software Engineer

What You’ll Do  

• Own the system end-to-end  – architecture, implementation, and operations for web UI, APIs, and backend services that power data collection and vehicle configuration workflows. 

• Design and implement integrations  between UX and core platforms (data warehouse/lake, streaming pipelines, vehicle telemetry, configuration management, API gateway, identity & access, taxonomy/metadata services). 

• Build automations and orchestration  for config rollout, data ingest, validation, and feedback loops (e.g., scheduled jobs, event-driven workflows, rule-based triggers). 

• Establish end-to-end observability : metrics, logs, traces, and dashboards that cover data flows from vehicles endpoints to downstream consumers. 

• Raise the bar on data quality and governance  by defining and enforcing contracts, validation checks, and schemas across various systems. 

• Define and evolve system architecture  to meet GM’s standards for security, compliance, and reliability, including access control, auditability, and PII-safe data handling. 

• Create and standardize APIs  and event schemas that make an easy-to-integrate platform for other applications and services. 

• Partner cross-functionally  with: 

• AI research team to assess data integrity and mining quality to ensure we collected right amount of data via the data collection platform. 

• Data Engineering  on ingestion, transformation, and storage patterns. 

• Vehicle Engineering  on in-vehicle integration and configuration lifecycles. 

• Data Science & Analytics  on data access patterns, features, and experimentation needs. 

• Data Quality & Taxonomy teams  on metrics, definitions, and consistent metadata. 

• Define and track platform metrics  (reliability, latency, throughput, data quality scores, correctness of deployments) and create a roadmap for scale, resilience, and faster development/deployment cycles. 

• Drive the full project lifecycle  – requirements, design docs, prototyping, implementation, code reviews, rollout, monitoring, and continuous improvement. 

• Review and improve engineering practices  – technical designs, code quality, documentation, and development processes across the team. 

• Mentor and grow engineers , influence technical direction across adjacent teams, and participate in hiring. 

Your Skills & Abilities (Required Qualifications)  

• Proven experience owning high-availability, mission-critical services  in production, including on-call participation and incident response. 

• Track record of leading large technical initiatives  from concept to production and iterative evolution (e.g., new platform, major re-architecture, or multi-system integration). 

• Ability to  identify and decompose broad technical, functional, and business challenges  into clear, executable initiatives across multiple teams. 

• Experience designing  enterprise, systems, and integration architectures  (APIs, event-driven systems, data flows, security boundaries, contracts) and setting associated standards and frameworks. 

• Strong programming experience in  Python, Java, or Go  (2+ of these preferred), including building backend services and APIs. 

• Experience with  cloud infrastructure  (e.g., GCP/Azure/AWS), including: 

• Infrastructure-as-code, automation, and configuration management. 

• CI/CD pipelines, artifact management, feature flags, and rollout strategies. 

• Experience building production-level  frontend applications  using  React, Angular, or similar  frameworks. 

• Strong understanding of  JavaScript/TypeScript  and modern frontend fundamentals (state management, performance, accessibility, testing). 

• Hands-on experience with  observability tooling  (metrics, logging, tracing, dashboards) and using telemetry to drive product and reliability decisions. 

• Comfort working with  data platforms  (data warehouses/lakes, streaming systems, ETL/ELT) and designing robust interfaces to them. 

• Expertise in  integration, automation, and platform thinking  – you enjoy making complex systems simpler, safer, and more reusable. 

• BS, MS, or PhD in  Computer Science, Engineering, Math, or related field , or equivalent practical experience. . 

What Will Give You a Competitive Edge (Preferred Qualifications)  

• Experience with  REST/JSON and GraphQL APIs , webhooks, and event-driven or streaming architectures (e.g., Kafka, Pub/Sub). 

• Experience building  internal tools and platforms  that are core to engineers’ or operators’ daily workflows. 

• Experience with  data modeling, taxonomy, and metadata systems  for analytics, ML, or large-scale data platforms. 

• Familiarity with  data quality frameworks  (validation, contracts, lineage, anomaly detection) and tools. 

• Experience with  ML, experimentation, or data science workflows , especially around data collection and feature pipelines. 

• Prior work on  end-to-end observability  initiatives (defining SLOs, setting up dashboards, alerts, and runbooks). 

• Self-motivated, strong at execution, and oriented toward  clear, measurable impact . 

• Excellent communication skills to: 

• Align and influence cross-functional stakeholders. 

• Resolve conflicts and build consensus. 

• Communicate trade-offs, risks, and technical decisions to both technical and non-technical audiences.