Lila Sciences

1 month ago

Senior Software Engineer, Data

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 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

Website LinkedIn

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Lila Sciences

1 month ago

Senior Software Engineer, Data

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

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

Industry: Biotech

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website LinkedIn