Senior Software Engineer, Data

Lila Sciences
Cambridge, San Francisco
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5-8 yearsEducation: bachelorsSkills: ["Communication","Collaboration","Problem-solving","Teamwork"]

Senior software engineers with backend focus to join the Data Platform Team, building high-performance APIs, scalable data systems, and cloud infrastructure to support real-time ingestion, large-scale analytics, and AI-driven scientific workflows in a collaborative, fast-paced environment.

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Lila Sciences
Lila Sciences
3 months ago

Senior Software Engineer, Data

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Senior software engineers with backend focus to join the Data Platform Team, building high-performance APIs, scalable data systems, and cloud infrastructure to support real-time ingestion, large-scale analytics, and AI-driven scientific workflows in a collaborative, fast-paced environment.
Location: Cambridge, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Design and build high-performance, secure, and well-documented APIs that integrate with AI-driven applications.
  • •Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs) for optimal performance and scalability.
  • •Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.
  • •Leverage AWS, Kubernetes, and modern DevOps practices to build and deploy production-grade systems at scale.
  • •Collaborate cross-functionally with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.

Key Requirements

  • •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
  • •Hands-on experience with AWS; strong understanding of Kubernetes, containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions)
  • •Experience with ORMs (SQLAlchemy, SQLModel, FastAPI, Django) and web services for CRUD
  • •Experience with orchestration systems (Airflow, Prefect, Temporal, Dagster) and full stack development (React, TypeScript, Nx, Tailwind, FastAPI, SQL/NoSQL, Python, Pydantic)
Experience:5-8 yearsBiotechLife sciencesData platformAI
Education:Bachelor's
Skills:CommunicationCollaborationProblem-solvingTeamwork
Languages:English
Tech Stack:AWSKubernetesTerraformCloudFormationGitHub ActionsSQLAlchemySQLModelFastAPIDjangoAirflowPrefectTemporalDagsterReactTypeScriptNxTailwindPythonPydantic

Company Brief

Lila Sciences
Develops AI-driven platforms to accelerate drug discovery and biological research by integrating machine learning with chemical and biological data to predict molecular properties, streamline candidate selection, and enable faster therapeutic development.
Industry: Biotech
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
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