Cloud Platform Engineer – Simulation & Automation

Bedrock Robotics; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Bedrock Robotics in New York is looking for a Cloud Platform Engineer to integrate simulation systems into their cloud infrastructure. The role requires over 6 years of software engineering experience, strong skills in Python, and familiarity with cloud technologies like AWS. Responsibilities include ensuring reliable simulation operations and acting as a liaison between simulation engineers and the Cloud team. Candidates should be generalists comfortable with deployment and service integration, aiming to enhance operational efficiency.

Qualifications

• 6+ years of professional software engineering experience with demonstrated ownership of production systems.
• Strong Python skills and comfort with API design, async patterns, and cloud‑native development.
• Solid cloud infrastructure background. Comfortable in AWS, understands distributed systems concepts.
• Experience with deployment and service integration, owning operational glue between systems.

Responsibilities

• Integrate simulators into the Cloud platform for seamless operation.
• Run simulation reliably in automation, ensuring fast and reliable workflows.
• Serve as the point person for simulation engineers, translating needs into platform work.
• Prepare infrastructure for future evolutions of simulation at Bedrock.

Skills

Python

API design

Cloud-native development

Deployment and service integration

Distributed systems

Strong written communication

Tools

AWS

gRPC

Container orchestration

Job description

Bedrock Robotics in New York is looking for a Cloud Platform Engineer to integrate simulation systems into their cloud infrastructure. The role requires over 6 years of software engineering experience, strong skills in Python, and familiarity with cloud technologies like AWS. Responsibilities include ensuring reliable simulation operations and acting as a liaison between simulation engineers and the Cloud team. Candidates should be generalists comfortable with deployment and service integration, aiming to enhance operational efficiency.