DLA - Senior Engineer
General Motors15 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Design, develop, and maintain full-stack manufacturing intelligence applications and React/TypeScript user experiences.
- Develop Python and FastAPI backend services, APIs, data models, and data pipelines for manufacturing and enterprise workflows.
- Integrate MES, SCADA, PLC/controls data, historians, equipment interfaces, and event-driven data services.
- Deploy and operate applications across enterprise, cloud, and edge environments using Docker, Kubernetes, automation, and monitoring.
- Implement automated unit, integration, contract, and end-to-end testing, observability, secure access controls, and production reliability improvements.
- Translate manufacturing problems into technical designs, user stories, acceptance criteria, and measurable outcomes.
- Collaborate with controls, manufacturing, quality, data science, cybersecurity, and IT teams and document architecture, deployment, and support processes.
- Troubleshoot production issues, perform root-cause analysis, and improve application performance and reliability.
Requirements
- Bachelor's or higher degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or equivalent experience.
- At least 5 years of professional software engineering experience building and supporting production full-stack applications.
- At least 3 years of experience delivering manufacturing intelligence, industrial software, or data-intensive enterprise applications across frontend, backend, and data layers.
- Advanced TypeScript/JavaScript and React skills, including component architecture, state management, visualization, responsive interfaces, accessibility, and frontend testing.
- Strong Python and FastAPI or comparable framework experience, including asynchronous programming, service design, validation, dependency management, and automated testing.
- Advanced SQL and PostgreSQL skills involving relational modeling, schema design, migrations, indexing, query and transaction performance, and data quality.
- Experience designing data pipelines and event-driven architectures for telemetry, time-series, production, quality, and manufacturing workflow data.
- Hands-on experience with Git, Docker, Kubernetes, deployment practices, and enterprise or cloud application development, including Microsoft Azure.
- Experience with automated testing, structured logging, metrics, tracing, health checks, alerting, and distributed-system troubleshooting.
- Working knowledge of application and platform security, including OAuth/OIDC, role-based access control, secrets management, secure coding, vulnerability remediation, and least-privilege design.
- Basic understanding of Databricks and its integrations; preferred experience includes Spark, Delta Lake, workflow orchestration, and data-quality controls.
- Knowledge or experience with automotive manufacturing, OT/IT integration, MES, SCADA, PLC/controls systems, OPC UA, MQTT, historians, streaming, message queues, and real-time processing is preferred.
- Working knowledge of AI/ML techniques for manufacturing data, including AI service and model integration, model evaluation, prompt engineering, retrieval-augmented generation, and AI performance monitoring.
- Preferred qualifications include cloud-native and edge architectures, infrastructure as code, manufacturing data models, analytical visualizations, observability, security scanning, cybersecurity, technical leadership, mentoring, and code review.
Benefits
- Hybrid work arrangement requiring reporting to the office four times per week or as dictated by the business.
- Primarily non-travel role, with short-duration business travel when required.
- Possible international short-term assignment of six months during the first year for training and development.
- General Motors offers inclusive workplace accommodations and equal employment opportunities.
Tech Stack
Categories
Data EngineeringFull Stack
About General Motors
General Motors designs, manufactures, and sells cars, trucks, and electric vehicles for consumers and commercial fleets under brands including Chevrolet, GMC, Cadillac, and Buick. A public company on the NYSE headquartered in Detroit and founded in 1908, it operates globally and is developing EVs on its Ultium battery platform. Revenue comes from vehicle and parts sales, connected services such as OnStar, and financing through GM Financial.