Fullstack Software Engineer

Summary

We connect top-tier engineers from Latin America with leading global teams. Our client is looking for Full-stack Senior Software Engineers to join their software platform team, where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. This role spans web services and data engineering, with a strong emphasis on Python development for scientific applications. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, this opportunity is for you!

Responsibilities

• Design & Build Services and Front-ends: Design and build high-performance, secure, and well-documented code that integrate with an ecosystem of existing services and apps. 
• Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads. 
• Cloud & Infrastructure: Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale. 
• Cross-Functional Collaboration: Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows and services.

Requirements

• Degree in Computer Science, Engineering, or related field. 
• 5-8 years of experience writing software in a commercial setting. 
• Full Stack Development: Experience developing web apps across the full stack (React, Python 3.2, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Pydantic, Poetry or UV) 
• Cloud & DevOps Knowledge: Hands-on experience with AWS, GCP, or Azure; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions). 
• Communication & Collaboration: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences. 
• Problem Solving: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability. 
• Strong communication skills in English and Spanish, to effectively collaborate with team members and stakeholders. 

Nice to Have

•  Hands-On with Latest AI Tools: Exposure to AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or agentic frameworks, as well as experience leveraging AI to improve development performance. 
• Experience with ORMs: Experience with and web services for CRUD services (SQLModel, FastAPI, Django). 
• Orchestration Systems: Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster). 
• Familiarity with Python for Science: Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch). 
• Domain Background: Exposure to laboratory software or analytics for life sciences, material sciences, or related fields.