Lilasciences

Lilasciences

Senior Software Engineer, Scientific System of Record

Cambridge, MA USA; San Francisco, CA USA · Senior · Full-time

Sponsorship not specified$144k-$240kDetected 29 days ago
TypeScriptPythonReactBackend DevelopmentFull-Stack DevelopmentCode ReviewGitSQLNoSQLVector DatabasesAWSGCPAzureKubernetesTerraformCI/CDDevOpsTemporalAPI DevelopmentMachine LearningAirflowRecruitingCommunicationCollaboration

About the role

  • These systems connect scientific intent to physical reality.
  • Reliability, Performance, and Scale: Diagnose bottlenecks, improve system performance, and contribute to observability, reliability, and operational excellence for production systems.
  • Engineering Quality: Contribute to architecture discussions, code reviews, testing practices, documentation, and shared engineering standards.

Responsibilities

  • what did we plan to build? and what actually happened?
  • Together with the data and automation teams, their systems ensure reproducibility and close the Design-Build-Test-Learn (DBTL) loop.
  • What You'll Be Building
  • Build systems that model scientific intent, experiment planning, protocol execution, sample and asset state, operational events, and results capture across complex lab workflows.
  • Design and implement high-quality, secure, and well-documented UIs and APIs that support scientists, automation systems, ML workflows, and AI-driven applications.
  • Build front-end and backend services with a focus on performance, maintainability, and reliability.
  • Partner with scientists, ML researchers, platform engineers, data engineers, automation teams, and product managers to translate scientific and operational needs into software.
  • It answers two questions: what did we plan to build? and what actually happened?
  • Lab Execution and Scientific Workflows: Build systems that model scientific intent, experiment planning, protocol execution, sample and asset state, operational events, and results capture across complex lab workflows.
  • User Interfaces and APIs: Design and implement high-quality, secure, and well-documented UIs and APIs that support scientists, automation systems, ML workflows, and AI-driven applications.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • You must be strong in either front-end or backend.
  • Databases and Data Modeling: Experience with SQL and at least one of NoSQL, vector databases, search systems, or data lakehouse architectures
  • Production Systems: Experience operating production software, including debugging, monitoring, performance tuning, and improving reliability over time.
  • Collaboration: Strong communication skills and a track record of working cross-functionally with engineers, product teams, scientists, or other domain experts.
  • Hands-on experience using AI coding assistants or AI-augmented engineering workflows to improve productivity.
  • Cloud and DevOps: Hands-on experience with AWS, GCP, or Azure
  • strong understanding of Kubernetes, containerization, infrastructure as code such as Terraform or CloudFormation, and CI/CD pipelines such as GitHub Actions.
  • Orchestration Systems: Experience with orchestration tools such as Flyte, Temporal, Airflow, Prefect, or similar systems.
  • Your final offer will reflect your background, expertise, and expected impact.

Nice to have

  • Python experience is strongly preferred.

Skills

  • Your Impact at LILA
  • Join us in shaping the future of science!

Compensation

  • We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
  • International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions
  • Expected Base Salary Range
  • $144,000 - $240,000 USD
  • USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.

Benefits

  • U.S. Benefits.
  • Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage
  • employer-paid life and disability insurance
  • flexible time off with generous company wide holidays
  • paid parental leave
  • an educational assistance program
  • commuter benefits, including bike share memberships for office based employees
  • International Benefits.
  • Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region.

Company info

  • The Scientific System of Record Team (SSR) builds the memory layer for Lila's operations.

Visa & Work Authorization

  • al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
Apply directly at Lilasciences →Create a free account for alerts like thisView Lilasciences immigration profile

This listing is sourced directly from Lilasciences's careers page and normalized into a canonical job model.