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# Full Stack Developer

- **Company:** THEATRE MANAGEMENT, INC.
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Agile Methodology, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Software as a Service, D3.Js, Data Visualization, Relational Databases, Django Web Framework, Python (Programming Language), PostgreSQL, TypeScript, Highcharts, ReactJS, Backend, Fastapi, Amazon Relational Database Service, Material UI, Plotly, Machine Learning Operations, Front End Software Development, Functional Programming, Restful APIs, Software Version Control, Docker
- **Published:** October 7, 2026
- **Apply:** https://www.thejobnetwork.com/job/4d94bc5a-ce0b-4de2-88f1-67613a93c8eb/full-stack-engineer

## About the Role

4+ years of professional full-stack development experience with modern web technologies.

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 - Strong proficiency in frontend frameworks (React preferred) and modern JavaScript/TypeScript.

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 - Solid backend experience with Python (Django or FastAPI) and RESTful API design.

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 - Experience building interfaces that connect to ML or data-intensive backend services-you understand what it takes to surface algorithmic outputs in a clean, performant UI.

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 - Hands-on experience with AWS (EC2, S3, Lambda, RDS, or equivalent), Docker, and CI/CD pipelines.

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 - Comfort working with relational databases (PostgreSQL preferred) and data modeling.

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 - Experience with data visualization libraries (D3.js, Plotly, Chart.js, or similar).

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 - Ability to work independently in a startup environment-you ship, you iterate, you take ownership.

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 - Strong written communication skills; ability to document technical decisions and collaborate asynchronously.

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Strong pluses

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 - Experience with ML-powered products or scientific/technical SaaS platforms.

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 - Familiarity with Bayesian Optimization, lab experiment design, or scientific data workflows.

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 - Experience with Shape Up or similar product development methodologies.

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 - Exposure to ML Ops concepts (model versioning, ML pipeline integration, feature flags for model rollouts).

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 - Experience working with separate frontend/backend repositories and managing cross-repo dependencies.

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 - Background in chemistry, materials science, or pharma R&D is a strong differentiator.

## Description

You will work alongside our ML engineers and backend team to ship features that directly impact how enterprise clients interact with our technology, as well as partner with our Product team and UI designers on optimal user experience. This role demands someone who thrives in a fast-moving startup, can operate independently, and brings a bias toward action and quality.