Cloud Infrastructure Engineer

Date: 06/03/25

 

Trossen Robotics is hiring for a Cloud Infrastructure Engineer to lead a greenfield effort to design, build, and operate cloud-native systems from the ground up. In this role, you will develop secure, scalable data storage services, robust model repository platforms, and high-throughput training pipelines optimized for GPU compute. You will implement infrastructure-as-code, container orchestration, and CI/CD workflows to ensure reliability, security, and cost efficiency across AWS, Azure, and GCP. You will enable cross-cloud interoperability so that users can seamlessly access data, models, and compute resources on demand.

 

Responsibilities:

 

• Lead efforts to design, build, and deploy secure and scalable infrastructure for data storage and model training

• Build APIs for uploading, querying, downloading, and managing data at petabyte scale

• Build systems for data ingestion, lifecycle management, and cross-cloud movement

• Define schemas and policies for compute, storage, and network resource allocation

• Implement container-based deployments across cloud environments

• Implement infrastructure-as-code and CI/CD

• Implement monitoring, alerting, and observability tools for system reliability and performance

 

Requirements:

 

• 4+ years of experience in designing and deploying scalable systems in the cloud

• Strong understanding of cloud security principles

• Worked with infrastructure as code and CI/CD tools

• Writing internal and public-facing technical documentation

• Excellent written and verbal communication skills

• Strong problem-solving and analytical skills

• Ability to work independently and thrive in a greenfield environment

 

Nice-to-haves:

 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related

• Have deployed and managed GPU-based instances in cloud environments

• Familiarity with designing schemas for heterogeneous data

• Experience with distributed data storage systems or data warehouses

• Contributions to open-source infrastructure tools or ML pipelines

• Previous work experience in a startup or early-stage environment

 

Compensation:

 

• Pay based on skills and experience

• End-of-year bonus based on company performance

• 401k

• Full medical and dental insurance

• Paid time off