Senior Full-Stack Engineer

Description

• Design and build REST APIs and web applications for cloud services and on-site device configuration, monitoring, and management • Develop intuitive management UIs for both cloud-based workflows and local hardware deployment • Architect backend services that bridge cloud (AWS) and on-premises AI compute environments • Design low-latency database schemas covering job tracking, results storage, audit logging, and device management • Build and maintain containerized AI inference pipelines deployed on both cloud and dedicated GPU hardware • Implement end-to-end observability (telemetry, logging, alerting) across distributed environments • Identify and resolve performance bottlenecks in inference pipelines and large binary data workflows • Ensure software meets regulatory compliance standards (FDA 21 CFR Part 11/820, SOC2) • Partner closely with ML Engineering and Research teams to bring models into production • Contribute to design reviews, architecture discussions, and incident response rotations • Produce technical documentation for API specs, deployment guides, and regulatory submissions

Requirements

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or equivalent • 5–7 years of professional software development experience • 4+ years building and operating REST APIs and backend services in production • 3+ years in AI/ML application development, including deploying and optimizing inference services • 4+ years with Python and TypeScript/JavaScript across backend and frontend • 3+ years with AWS (EC2, S3, EKS, ECR, Lambda, CloudWatch) • 3+ years with Docker and Kubernetes, including edge or on-prem deployments • 3+ years with SQL and NoSQL database design • 2+ years developing software in regulated environments (FDA and/or SOC2) • Experience with observability tooling (Prometheus, Grafana, DataDog, or similar) • Strong grasp of DevOps practices and CI/CD pipelines • Frontend experience with React or similar frameworks • Comfort with ambiguity and a bias toward shipping in a startup environment.

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