$95,000~$165,000/year | Full Time | Onsite/Hybrid/Remote
Date: 06/03/25
Trossen Robotics is hiring for a Full Stack Engineer to lead a greenfield effort to design, build, and operate cloud-native systems and interfaces 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 create reliable, secure, and cost-efficient systems. You will build out front-end visualization and management interfaces for the backend services you create.
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
- Create frontend interfaces for backend services
- Build systems for data ingestion, lifecycle management, and cross-cloud movement
- Define policies for compute, storage, and network resource allocation
- Define schemas for, implement, and manage databases that store structured and unstructured data
- 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
- Writing internal and public-facing technical documentation
Requirements
- 4+ years of experience in designing and deploying scalable systems in the cloud
- Strong understanding of cloud security principles
- Worked with structured and unstructured databases
- Experience with frontend frameworks such as React
- Worked with infrastructure as code and CI/CD tools
- 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
- Degree in Computer Science, Engineering, or a related field
- Have deployed and managed GPU-based instances in cloud environments
- 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
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