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Lead Full Stack Software Engineer at Lila Sciences | Cambridge, MA

Lila SciencesCambridge, MA USA
On-site Full-time $204K/yr - $272K/yr

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Experience Level

Mid to Senior

Qualifications

Essential Qualifications Degree: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Experience: 4-8 years of software development experience in a commercial environment. Full Stack Development Skills: Proven experience in developing web applications across the entire stack (including React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, and Pydantic). Cloud & DevOps Expertise: Practical experience with AWS, GCP, or Azure; comprehensive understanding of Kubernetes, containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions). Strong Communication & Collaboration Skills: Exceptional listening abilities, with a solid history of cross-functional collaboration with scientists, data engineers, and product teams; capable of articulating complex concepts to diverse audiences. Problem-Solving Aptitude: Demonstrated ability to tackle complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.

About the job

Your Impact at Lila Sciences

Become a pivotal part of the scientific revolution! We are looking for a Principal Software Engineer with extensive full-stack expertise to join our innovative software platform team. In this collaborative role, you will partner with software engineers, lab scientists, and machine learning experts to develop advanced tools for automated scientific analysis and beyond. Your responsibilities will encompass web services and data engineering, with a strong focus on Python development tailored for scientific applications. If you excel in a teamwork-oriented, fast-paced setting and adhere to best practices in version control, development workflows, and user-centered design, we would love to connect with you!

Key Contributions You Will Make

  • Design & Build Services and Front-ends: Create high-performance, secure, and well-documented code that seamlessly integrates with our existing services and applications.
  • Performance & Reliability: Identify and resolve system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.
  • Cloud & Infrastructure: Utilize AWS services, Kubernetes, and contemporary DevOps methodologies to build and deploy production-ready systems at scale.
  • Cross-Functional Collaboration: Collaborate with machine learning researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows and services.

About Lila Sciences

At Lila Sciences, we are at the forefront of scientific innovation, dedicated to developing cutting-edge technologies that enhance and automate scientific analysis. Join us to be part of a team that is transforming the landscape of science through advanced engineering and collaborative research.

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