Senior Backend Engineer, Data Platform for AI Science

Lila Sciences; San Francisco, Cambridge (CA, MA); On-site; USD 144,000 - 288,000; Full time

Benefits offered by this job

Comprehensive benefits program

Flexible time off

Paid parental leave

Educational assistance program

Company subsidized lunch program

Job summary

Lila Sciences in San Francisco is seeking a Senior Software Engineer with backend experience to join their Data Platform Team. The role involves designing and building high-performance APIs, managing diverse data systems, and collaborating with scientists and engineers to integrate data pipelines into scientific workflows.

With 5-8+ years of experience in building large-scale backend systems and expertise in AWS and Kubernetes, the ideal candidate will thrive in a fast-paced environment. The compensation package includes competitive salary and generous benefits.

Qualifications

• 5-8+ years of engineering experience building large-scale backend systems.
• Hands-on experience with AWS and Kubernetes.
• Proven ability to deliver backend solutions balancing trade-offs.

Responsibilities

• Design and build high-performance APIs integrating with AI-driven applications.
• Develop schemas and manage diverse data systems for optimal performance.
• Optimize system performance ensuring high availability across workloads.

Skills

Backend development

Collaboration with ML engineers

API design

Cloud services (AWS)

Containerization (Kubernetes)

Database management

Full stack development

Problem-solving

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

AWS

SQLAlchemy

Airflow

FastAPI

Job description

Lila Sciences in San Francisco is seeking a Senior Software Engineer with backend experience to join their Data Platform Team. The role involves designing and building high-performance APIs, managing diverse data systems, and collaborating with scientists and engineers to integrate data pipelines into scientific workflows.

With 5-8+ years of experience in building large-scale backend systems and expertise in AWS and Kubernetes, the ideal candidate will thrive in a fast-paced environment. The compensation package includes competitive salary and generous benefits.