Project description
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.
Responsibilities
- 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.
Skills
Must have
- 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.
Nice to have
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Other
Languages: English: B2 Upper Intermediate
Seniority: Senior
