2 months ago

Staff Software Engineer, Scientific System of Record

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead the design and development of a scalable AI-enabled platform, building front-end UIs and backend services that integrate with ML workflows. You will work across the stack with researchers and engineers to ensure high performance, reliability, and scalability of data systems (SQL/NoSQL/vector DBs) and cloud infrastructure (AWS, Kubernetes).

Location: Cambridge, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Design and build high-performance, secure UIs and APIs that integrate with AI-driven applications.
•Develop schemas and manage diverse data systems (SQL, NoSQL, vector databases) for performance and scalability.
•Drive implementation of front-end and backend services with a focus on performance, maintainability, and reliability.
•Diagnose and resolve system bottlenecks while ensuring high availability and low-latency performance across large-scale workloads.
•Leverage AWS and Kubernetes to build and deploy production-grade systems at scale.

Pay and Benefits

Salary: USD 144,000 - 288,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionEquityCommuter BenefitsMeal AllowanceEducationInsurance

Key Requirements

•Bachelor's or Master’s degree in Computer Science, Engineering, or related field.
•6–8+ years of engineering experience building and deploying large-scale systems in production.
•Strong experience with TypeScript, React, and Python; Python preferred.
•Strong experience with SQL, NoSQL, and vector databases; schema design, indexing, and query optimization.
•Proven ability to design and scale RESTful or GraphQL APIs with a focus on reliability and performance.

Experience:6-8 yearsLife sciencesAIData-intensiveLab workflows

Education:Bachelor's

Skills:ReactTypeScriptPythonSQLNoSQLVector databasesRESTGraphQLAPIsAWSKubernetes

Languages:English

Tech Stack:TypeScriptReactPythonSQLNoSQLVector databasesRESTGraphQLAWSKubernetes

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

2 months ago

Staff Software Engineer, Scientific System of Record

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Cambridge, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Design and build high-performance, secure UIs and APIs that integrate with AI-driven applications.
•Develop schemas and manage diverse data systems (SQL, NoSQL, vector databases) for performance and scalability.
•Drive implementation of front-end and backend services with a focus on performance, maintainability, and reliability.
•Diagnose and resolve system bottlenecks while ensuring high availability and low-latency performance across large-scale workloads.
•Leverage AWS and Kubernetes to build and deploy production-grade systems at scale.

Pay and Benefits

Salary: USD 144,000 - 288,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionEquityCommuter BenefitsMeal AllowanceEducationInsurance

Key Requirements

•Bachelor's or Master’s degree in Computer Science, Engineering, or related field.
•6–8+ years of engineering experience building and deploying large-scale systems in production.
•Strong experience with TypeScript, React, and Python; Python preferred.
•Strong experience with SQL, NoSQL, and vector databases; schema design, indexing, and query optimization.
•Proven ability to design and scale RESTful or GraphQL APIs with a focus on reliability and performance.

Experience:6-8 yearsLife sciencesAIData-intensiveLab workflows

Education:Bachelor's

Skills:ReactTypeScriptPythonSQLNoSQLVector databasesRESTGraphQLAPIsAWSKubernetes

Languages:English

Tech Stack:TypeScriptReactPythonSQLNoSQLVector databasesRESTGraphQLAWSKubernetes

Company Brief

Lila Sciences

Industry: Biotech

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website LinkedIn