Systems Development Engineer II - Robotics Cloud Operations, Amazon Robotics Firmware Team

About the position

Amazon Robotics is seeking a Cloud Operations Engineer to join our team and help architect and maintain our cloud infrastructure supporting one of the world's largest robotics fleets. You will be responsible for designing, implementing, and managing AWS-based solutions that enable real-time monitoring, and management of robots operating in Amazon facilities worldwide. We're looking for someone who is passionate about cloud architecture, has strong problem-solving skills, and can work effectively with robotics and software engineering teams to build reliable and scalable cloud solutions for robotics operations.

Responsibilities

• Design and implement cloud-native architectures for robot fleet management, telemetry, and remote operations
• Develop and maintain AWS infrastructure as code using CDK/CloudFormation for robotics operations platforms
• Create and optimize cloud-based solutions for real-time robot data processing and analytics
• Implement robust IoT device management and communication systems using AWS IoT Core
• Work with robotics teams to design and implement cloud-based control and monitoring systems
• Participate in on-call rotation to support critical cloud infrastructure
• Mentor team members on cloud architecture best practices and AWS services

Requirements

• Experience in automating, deploying, and supporting large-scale infrastructure
• Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
• Experience with Linux/Unix
• 3+ years of experience in cloud engineering or systems architecture
• Strong programming experience in Python, TypeScript, or similar languages
• Experience with AWS services, especially IoT Core, Lambda, EC2, and ECS/EKS
• Experience with Infrastructure as Code using AWS CDK or CloudFormation
• Bachelor's degree in Computer Science, Engineering, or related field

Nice-to-haves

• Experience with distributed systems at scale
• Experience with autonomous systems or IoT device management
• Knowledge of real-time data processing and streaming architectures
• Experience with containerization and orchestration (Docker, Kubernetes)
• Experience with monitoring tools like CloudWatch, Grafana, or Prometheus
• Familiarity with edge computing and AWS Greengrass
• Experience with large-scale cloud deployments
• Experience mentoring other engineers and driving technical initiatives

Benefits

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan