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Senior Backend Software Engineer at Lila Sciences | Cambridge, MA

Lila SciencesCambridge, MA USA
On-site Full-time $144K/yr - $210K/yr

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Experience Level

Senior

Qualifications

What You’ll Need to Excel Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Experience: 4-8 years of professional software development experience in a commercial environment. Full Stack Development: Proven experience in developing web applications across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic). Cloud & DevOps Expertise: Hands-on experience with AWS, GCP, or Azure; thorough understanding of Kubernetes, containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions). Communication Skills: Exceptional listening abilities and a demonstrated history of effective collaboration with scientists, data engineers, and product teams; capable of conveying complex concepts to varied audiences. Problem-Solving Skills: Proven track record of managing complex backend challenges while balancing scalability, performance, and maintainability.

About the job

Your Contribution at Lila Sciences

Be a part of our mission to revolutionize science! We are on the lookout for a skilled Senior Backend Software Engineer to become a vital member of our software platform team. In this role, you will work alongside talented software engineers, laboratory scientists, and machine learning engineers to develop advanced tools for automated scientific analysis and beyond. Your focus will be on Python development, web services, and data engineering, creating impactful scientific applications. If you excel in a dynamic, collaborative environment and advocate for best practices in git, development workflows, and user-centered design, we invite you to apply!

Your Projects

  • Service Design & Development: Craft and build high-performance, secure, and well-documented code that seamlessly integrates with our existing services and applications.
  • System Optimization: Identify and resolve system bottlenecks, ensuring high availability and low-latency performance across extensive workloads.
  • Cloud Infrastructure: Utilize AWS services, Kubernetes, and modern DevOps methodologies to construct and deploy scalable production-grade systems.
  • Collaborative Integration: Partner with ML researchers, engineers, and scientists to incorporate data pipelines, APIs, and cloud infrastructure into scientific workflows and services.

About Lila Sciences

At Lila Sciences, we are committed to advancing the field of scientific research through innovative technology solutions. Our team is passionate about building state-of-the-art tools that enhance efficiency and accuracy in scientific analysis.

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