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# Software Engineer, Data Infrastructure

- **Company:** Lucid Inc.
- **Location:** Southfield, MI, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Big Data, Code Review, Computer Engineering, Continuous Integration, Data as a Services, Data Infrastructure, Extract Transform Load (ETL), Distributed Systems, Python (Programming Language), Software Deployment, Software Engineering, Backend, Event Driven Architecture, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Integration Frameworks, Data Pipelines, Microservices
- **Published:** August 11, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/software-engineer-data-infrastructure-southfield-mi-usa-58898636

## About the Role

* analysis * Collaborate cross-functionally with internal and external teams to deliver scalable solutions * Optimize storage, compute, and data movement costs while maintaining high performance and availability * Contribute to architecture discussions, code reviews, and engineering best practices * Support CI/CD, infrastructure automation, and operational excellence across the platform Tasks * Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience * 3+ years of professional software engineering experience * Strong software development experience in Python * Experience building and operating backend services, distributed systems, or large-scale data platforms * Professional experience with AWS and deploying applications to Kubernetes clusters * Experience with Airflow or other workflow orchestrators * Experience designing data pipelines, ETL systems, or data processing frameworks * Experience developing aaaaaaaaaaab
_ applications, backend microservices, and event-driven systems or data pipelines Key requirements * medical, dental, and vision insurance * life and disability coverage * paid time off * 401(k) retirement plan * equity program

## Description

Experteer Overview You join the ADAS Data Infrastructure team to build the data platform for autonomous vehicle development. You will design and operate high-scale data pipelines and backend services that ingest, process, and serve sensor data from fleets. You work with cross-functional teams to deliver reliable, scalable data solutions in a cloud-first environment. Your work directly supports data-driven development of autonomous vehicle technologies and accelerates Lucid's mission to redefine mobility. Compensation / Benefits * Design, build, and maintain backend services and data pipelines for ingesting, processing, storing, and serving sensor datasets * Develop reliable and scalable systems using Python and AWS cloud services * Build APIs, data services, and tooling for access to autonomous vehicle data * Improve platform reliability, observability, performance, and operational efficiency * Own production services and participate in troubleshooting, incident response, and root cause analysis * Collaborate cross-functionally with internal and external teams to deliver scalable solutions * Optimize storage, compute, and data movement costs while maintaining high performance and availability * Contribute to architecture discussions, code reviews, and engineering best practices * Support CI/CD, infrastructure automation, and operational excellence across the platform Tasks * Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience * 3+ years of professional software engineering experience * Strong software development experience in Python * Experience building and operating backend services, distributed systems, or large-scale data platforms * Professional experience with AWS and deploying applications to Kubernetes clusters * Experience with Airflow or other workflow orchestrators * Experience designing data pipelines, ETL systems, or data processing frameworks * Experience developing containerized applications, backend microservices, and event-driven systems or data pipelines Key requirements * medical, dental, and vision insurance * life and disability coverage * paid time off * 401(k) retirement plan * equity program


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