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# Senior Software Engineer, Data

- **Company:** Lila Sciences, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Data Analysis, Cloud Computing, Databases, Data Infrastructure, Data Systems, DevOps, Django Web Framework, Github, Python (Programming Language), Machine Learning, NoSQL, NumPy, SciPy, SQL Databases, TypeScript, User-Centered Design, Web Applications, Web Services, Tailwind, ReactJS, System Availability, AI Coding Agents, Backend, Git, Cloudformation, Fastapi, Pandas, Build Management, Containerization, Scikit Learn, Kubernetes, Information Technology, Virtual Agents, Terraform, Data Pipelines, Crud
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_a980b4a37d78659cab1477f6db882e49-1862398887

## About the Role

* Bachelor's or Master's degree in Computer Science, Engineering, or related field.
 * 5-8+ years of engineering experience building and deploying large-scale backend systems in production.
 * Cloud & DevOps Knowledge: Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).
 * Experience with ORMs: Experience with and web services for CRUD services (SQL Alchemy, SQLModel, FastAPI, Django).
 * Orchestration Systems: Experience with orchestrator tools (Airflow, Prefect, Temporal, Dagster).
 * Full Stack Development: Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic).
 * Hands on experience using AI coding assistants to drive productivity is required.
 * 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 deliver backend solutions, balancing trade-offs between scalability, performance, and maintainability., * 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.
 * Experience with laboratory devices, robotics, or hardware

## Description

Join us in shaping the future of science! We are seeking Senior Software Engineers with backend experience to join our Data Platform Team (Data), where you'll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you!, * Design & Build APIs: Design and build high-performance, secure, and well-documented APIs that integrate with AI-driven applications.

 * Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.
 * 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.