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Senior Software Engineer, Data

Lila Sciences· Software
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Hybrid (Cambridge, MA; San Francisco, CA)$144k - $270kfull-timePosted 4mo ago

About the role

Senior Software Engineers with backend experience to join the Data Platform Team to build tools for automated scientific analysis and data workflows, collaborating with software engineers, lab scientists, and ML engineers in a fast-paced, collaborative environment.

Responsibilities

  • 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.

Qualifications

  • 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.
  • 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.

Skills

Required:Backend engineeringAPI design and developmentCloud & DevOpsORMs and web servicesOrchestration systemsFull stack developmentAI coding assistantsCommunication & collaboration

Benefits

  • Full-time U.S. benefits: medical, dental, vision; employer-paid life and disability insurance; flexible time off with generous holidays; paid parental leave; educational assistance; commuter benefits including bike share memberships; subsidized lunch.
  • International benefits tailored to region; USD salary ranges apply only to U.S.-based positions; international salaries set to local market.
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Lila Sciences

Pioneering Scientific Superintelligence

Pioneering Scientific Superintelligence to solve humankind’s greatest challenges.

Scientific SuperintelligenceAIAutonomous LabsLife SciencesChemical SciencesMaterials Sciences
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