Senior Full-Stack Engineer — Platform & Data Products

Luxoft; Los Angeles (CA); Presencial; USD 140.000 - 210.000; Jornada completa

Descripción de la vacante

Luxoft is seeking an experienced software engineer to build reusable platform capabilities and data products for researchers, enabling discovery and consumption of data across a complex landscape.

You will collaborate with business analysts, architects, designers, and IT teams to translate requirements into robust solutions, review code, and drive modernization across the SDLC with AI-enabled approaches.

Formación

• 8+ years of professional software development experience.
• Strong backend development experience with Python with clean, maintainable production code.
• Frontend development experience (React preferred).
• Production API design & delivery (FastAPI preferred), incl. versioning, docs, observability.
• Cloud experience (AWS preferred) beyond core compute/storage/DB.
• Git workflows and CI/CD pipelines.
• Debugging & problem-solving across the SDLC.
• Experience applying modern agentic approaches to software engineering.
• Hands-on with Claude Code and AI tooling for reusable AI skills.

Responsabilidades

• Collaborate with business teams and architects to understand requirements.
• Work daily with development teams, designers, and IT colleagues.
• Develop and present recommendations from analysis of current solutions; assist in design reviews.
• Propose improvements to processes and procedures for team effectiveness.
• Communicate with both technical and non-technical audiences; produce design docs.

Conocimientos

Software development

Python

React frontend

API design

AWS Cloud

CI/CD

Debugging

AI/Agentic approaches

Code tooling

Herramientas

OpenAPI/Swagger

FastAPI

VS Code + Copilot

Git

Descripción del empleo

Luxoft is seeking an experienced software engineer to build reusable platform capabilities and data products for researchers, enabling discovery and consumption of data across a complex landscape.

You will collaborate with business analysts, architects, designers, and IT teams to translate requirements into robust solutions, review code, and drive modernization across the SDLC with AI-enabled approaches.