Senior Full-Stack Engineer - Data & ML Apps (Hybrid)

Software Resources; Glendale (CA); Híbrido; USD 127.000 - 134.000; Tempo integral

Resumo da vaga

SRI Resources is seeking a Sr. Software Engineer for our Data & Analytics team in Glendale, CA.

This hybrid, 4 days on-site and 1 day remote, 5+ month contract, focuses on full‑stack development that links data science models with production interfaces and data-driven decision support for content strategy. You will design and implement scalable backend services and APIs on AWS/Databricks, build stakeholder UIs with React, TypeScript, and Streamlit components, and collaborate with Data Scientists

Qualificações

• Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
• 5+ years of software engineering experience building modern web-based, full-stack applications.
• Strong proficiency in React with production apps end-to-end.
• Experience with backend frameworks (TypeScript or Python).
• Experience querying and working with cloud-hosted relational databases using SQL.
• Proven experience deploying backend apps on AWS with CI workflows and containerization/orchestration.

Responsabilidades

• Build, enhance, and maintain access-managed, stakeholder-facing applications with front-end in React and JavaScript and Streamlit components.
• Design, develop, and maintain scalable backend services, APIs, and data pipelines on AWS and Databricks.
• Collaborate with Data Scientists to productionalize ML algorithms.
• Develop secure, reliable backend services with automated testing, monitoring, and CI/CD.
• Prototype APIs and UIs to connect models with applications used by stakeholders.

Conhecimentos

Python

SQL

React

TypeScript

ML understanding

Streamlit

Formação

Bachelors in CS/Engineering

Ferramentas

AWS

Databricks

Docker

Kubernetes

FastAPI/Flask/Django

Descrição da vaga

SRI Resources is seeking a Sr. Software Engineer for our Data & Analytics team in Glendale, CA.

This hybrid, 4 days on-site and 1 day remote, 5+ month contract, focuses on full‑stack development that links data science models with production interfaces and data-driven decision support for content strategy. You will design and implement scalable backend services and APIs on AWS/Databricks, build stakeholder UIs with React, TypeScript, and Streamlit components, and collaborate with Data Scientists