Jobs at General Motors

Lead and hands-on manage an engineering team delivering Customer Care and Aftersales order entry and retail inventory systems. Own delivery, modernization, cloud migration, resiliency, observability, DevSecOps, incident readiness, and cross-functional coordination. Coach engineers, drive technical strategy, ensure production stability, and align engineering priorities with business and product stakeholders.

Lead design and delivery of scalable full-stack owner-authenticated web experiences. Drive React front-end architecture and Java/Spring Boot backend services, own end-to-end initiatives, improve reliability and performance, mentor engineers, and collaborate with product and design to deliver customer-facing capabilities.

Lead and grow a software and AI engineering team to deliver AI-enabled enterprise applications on Glean and DBX Genie. Own end-to-end delivery, architecture, platform integration, CI/CD, security, and operational excellence while mentoring engineers and partnering cross-functionally to scale governed AI solutions.

Lead development and operation of CI platform components (RBE, FUSE) to enable scalable build, test, and developer workflows. Collaborate across teams, own projects end-to-end, drive engineering best practices, mentor engineers, perform design/code reviews, and support integration of internal tools with the FUSE-based file system to improve developer productivity for AV and ML workloads.

Lead and execute adversary emulation and purple team operations to validate detections, logging, and response. Build repeatable MSV-based validation workflows, develop custom offensive tooling (C2, payloads, automation), test cloud and endpoint attack paths (AWS, GCP, Azure), and partner with Detection Engineering and Incident Response to convert findings into improved detections, documentation, and hunts.

Design and build scalable, accessible frontend components and micro-frontends for a global vehicle commerce platform. Implement complex rule-driven UIs, real-time pricing displays, deep state management, and guided multi-step workflows. Drive automation, AI-enabled development practices, performance optimization, and contribute to an enterprise design system in a cross-functional Agile team.

The Privacy by Design Engineering Manager leads privacy engineering initiatives, ensuring compliance and integration of privacy principles across data and vehicle systems, while mentoring a team and collaborating with various stakeholders.

Design, modernize, and support enterprise applications and integrations across on-prem, cloud, SaaS, and hybrid environments. Implement IaC (Terraform), CI/CD, containerized deployments, automation, monitoring, backups, and disaster recovery. Enforce security best practices, troubleshoot incidents, document runbooks, and introduce practical AI-enabled automation and analytics. Mentor junior engineers and drive platform reliability and scalable integrations.

Design, build, and productionize batch and streaming ETL/ELT pipelines and ML workflows on Azure Databricks. Implement Unity Catalog data products, MLflow model lifecycle controls, CI/CD for data/ML artifacts, and operational monitoring. Partner with cross-functional teams to modernize legacy workflows into scalable, production-ready solutions.

Design, build, operate, and own scalable backend services and APIs for internal and customer-facing applications. Improve performance, observability, security, and reliability; lead architecture and API standards; troubleshoot production issues; support CI/CD and automation; mentor engineers and drive backend best practices across teams.

Design, develop, and maintain Salesforce solutions and integrations. Build Apex, Lightning Components/LWC, Visualforce, Flows, OmniScript and FlexCards. Implement Sales and Service Cloud capabilities, write automated tests, document code, mentor engineers, and manage deployment processes while collaborating with business and design teams.

Lead the Vehicle Autonomy Cloud Engineering team to build and operate a developer-ready PaaS. Own Kubernetes (GKE/on-prem) at scale, traffic engineering/DNS, cloud-native storage, capacity planning, and deployment pipelines to accelerate autonomous software delivery.

Lead design and evolution of customer-facing digital commerce systems (checkout, billing, payments, subscriptions, catalog, cart, orders). Use AI-assisted workflows to accelerate coding, review, testing, and documentation while ensuring security and production readiness. Drive architecture and API decisions across modern web apps, improve engineering excellence (testing, automation, observability, DevOps), build reusable patterns, and coach engineers to raise team productivity and technical delivery.

Lead and develop a platform engineering team to modernize and scale MarTech capabilities. Drive cloud migrations, oversee data pipelines and integrations, provide technical leadership across Adobe MarTech products and Databricks, partner with cross-functional stakeholders, shape platform strategy, and create growth opportunities for engineers.

Lead and grow an observability engineering team to define technical vision, build instrumentation, logging, metrics, and tracing solutions, drive platform development and vendor management, and collaborate across AI/ML, firmware, and infrastructure teams to improve reliability and incident response.

The Senior AV Network Engineer designs and maintains a secure hybrid network for AV development, focusing on high-performance data connectivity and SRE principles to enhance operational efficiency.

Lead design, build, and productionization of scalable, secure data pipelines and products in Azure Databricks. Implement batch and streaming ETL, Vector Search, RAG, LLM integrations, automation with Cursor/agents, CI/CD, observability, and governance. Mentor peers and partner with data scientists to operationalize AI while owning platform reliability and efficiency.

Lead design and implementation of Kubernetes-based cloud platform capabilities across Azure and GCP. Build operators, reusable abstractions, platform tooling, and improve monitoring, observability, deployment patterns, reliability, and developer experience. Drive architecture, on-call/incident response, cross-team technical influence, and mentor engineers.

Design and deliver enterprise-grade AI workflow transformations on GCP. Build secure, event-driven backend services and multi-step AI agents, integrate bots with enterprise systems, implement telemetry, testing, CI/CD, HITL validation, and create reusable architecture, documentation, and runbooks while guiding adoption and governance.

Design, build, and operate scalable real-time and batch data pipelines ingesting high-frequency telemetry, simulation, and trackside data. Own Kafka/Flink streaming components, Databricks lakehouse implementations, and infrastructure-as-code deployments. Develop software in Python/Java/SQL, integrate systems, automate testing and releases, performance-tune pipelines, and mentor peers to ensure resilient, secure, high-performance data delivery for motorsports teams.