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 DevOps 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.
MUST
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 DevOps and SRE practices.
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