Senior Full-Stack Software Engineer

• Design and build scalable applications for data acquisition, management, and visualization


• Build and maintain full-stack Nota features, from React components through GraphQL schemas to PostgreSQL query performance


• Design, deploy, and scale ML inference services on Ray Serve and Kubernetes, including model versioning, autoscaling, and observability


• Architect and manage the cloud environment supporting data ingestion, querying, and computer vision/ML pipeline development and deployment


• Own infrastructure as code and GitOps across multiple accounts and environments using Terraform, Terragrunt, and ArgoCD


• Build CI/CD pipelines that enable researchers to ship models without filing tickets


• Handle medical imaging data at scale, including DICOM ingestion, de-identification, format conversion, and reliable movement of terabytes


• Work closely with the product team and external stakeholders to shape engineering goals and requirements


• Expand responsibilities as the company grows to meet team and client needs

Requirements

• 5+ years of software engineering experience with a track record of building and operating applications in production


• Full-stack depth across front-end, back-end, database design, and software/network security


• Production Kubernetes experience


• Deep infrastructure-as-code practice with Terraform; Terragrunt is a plus


• Experience with GitOps deployment patterns


• Comfort operating in multi-cloud environments: AWS primary, GCP/Azure secondary


• Experience with HPC schedulers such as Slurm


• Fluency in Python and TypeScript/JavaScript


• Experience with React, GraphQL, and Docker


• Mature CI/CD experience, including GitHub Actions, reproducible builds, and environment parity


• Excellent written and verbal communication skills in English


• Bachelor's degree in engineering, computer science, or a related field is nice to have, not required


• Experience with Claude Code or comparable agentic tooling


• Ability to structure repositories, context, and documentation for production-quality agent output


• Experience building custom tooling such as MCP servers, skills, subagents, or hooks


• Judgment about where agents should be trusted and where they should be reviewed

Core Competencies

Demonstrates expertise in full-stack application development, including proficiency in Python, TypeScript, React, and GraphQL, while effectively managing cloud infrastructure and CI/CD pipelines. Capable of handling large-scale medical imaging data and implementing infrastructure as code using Terraform and GitOps practices.

Highest-signal resume keywords

• Full-Stack Development


• Production Kubernetes Experience


• Infrastructure As Code with Terraform


• CI/CD Pipeline Development


• Medical Imaging Data Management

ATS Optimization Keywords

Hard Skills

• Python


• TypeScript


• React


• GraphQL


• PostgreSQL


• Kubernetes


• Terraform


• Docker


• CI/CD


• DICOM

Soft Skills

• Excellent Communication Skills

Industry Keywords

• Data Acquisition


• Data Management


• Data Visualization


• Cloud Environment


• Computer Vision


• ML Pipeline

Tools & Technologies

• GitOps


• Ray Serve


• ArgoCD


• GitHub Actions


• HPC Schedulers