Senior Backend Engineer; Cloud

Private Medical & Dental care & Life Insurance covered

Internal Mobility program - possibility of rotation between projects, locations, accounts

...and more!

The Cloud Fleet Engineering team is at the forefront of managing and scaling our fleet of AI-powered edge devices deployed across global transportation agencies. As a senior engineer, you will play a critical role in designing, building, and scaling cloud services that enable remote device management, over-the-air updates, observability, and high-availability operations for our mobile perception platform. We tackle complex challenges related to scalability, performance, and security to enable smarter and safer cities through cutting-edge innovation.

As part of our team, you'll have the opportunity to work on impactful projects that drive the future of intelligent transportation systems.

• Participate in incident prevention, response, and remediation efforts, learning and applying best practices.
• Design, build, and maintain scalable cloud services that support device observability, OTA updates, and fleet operations.
• Lead efforts to improve the reliability, security, and performance of multi-region AWS infrastructure using Infrastructure as Code (IaC) tools.
• Own CI/CD pipelines for cloud services, enabling efficient, secure, and automated delivery processes.
• Set and uphold high standards for software engineering and Dev Ops practices across the team, including incident response, monitoring, and postmortems.
• Collaborate with cross-functional teams—including hardware, product, and other engineering teams—to define system requirements and deliver robust end-to-end solutions.
• Drive architectural decisions, perform code reviews, and contribute to long‑term technical strategy for cloud services.
• Mentor junior engineers and share expertise in cloud technologies, software and architectural design patterns.

• Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
• 5+ years of industry experience.
• Experience with Amazon AWS services such as EKS, S3, SQS, RDS, Cognito, and Lambda.
• Proficiency in Python or Go (Golang), with a focus on building production-quality services.
• Experience working with relational, document, or time-series databases and expertise in writing performant SQL queries.
• Solid understanding of Kubernetes and container orchestration in production environments.
• Strong problem‑solving skills with the ability to collaborate and contribute to solutions effectively.
• Proven ability to design and operate scalable, secure APIs and microservices.
• Strong communication skills and a track record of leading cross‑functional technical initiatives.
• Experience working in agile environments with modern Dev Ops and SRE practices.