Senior Software Engineer

Superluminal Medicines, Inc.
Boston, MA, United States
25 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Airflow Automation of Tests BigQuery Cloud Computing Security Cloud Engineering Software Quality Databases Continuous Integration Data Infrastructure Relational Databases Experimental Data
+19 more
HP Systems Insight Manager Python (Programming Language) Laboratory Information Management Systems Operational Databases Software Architecture Cloud Services Software Engineering Software Systems SQL Databases Workflow Management Systems Data Logging Google Cloud Reliability of Systems Backend Build Management Information Technology Restful APIs Data Pipelines Docker

Job description

We are seeking a Senior Software Engineer to design and build the software systems that power how experimental data moves through Superluminal Medicines.

You will own critical systems at the intersection of software engineering, scientific data, and research operations, including compound registration, experimental data ingestion, scientific system integrations, and the infrastructure that connects wet lab workflows to our broader data platform.

This is a high-ownership engineering role. You will be expected to design production systems, make architectural decisions, write high-quality software, and work directly with scientists to solve complex technical problems. The ideal candidate is a strong software engineer who is excited by difficult integration challenges, evolving requirements, and the opportunity to build foundational systems in a modern drug discovery organization., * Design, build, and operate production software systems supporting scientific data and wet lab workflows.

  • Own the architecture and implementation of systems for compound registration, experimental data ingestion, validation, transformation, and publishing.
  • Build reliable integrations across internal applications, APIs, cloud services, databases, and third-party scientific platforms.
  • Develop backend services, data pipelines, and internal applications used directly by scientists and research teams.
  • Design systems that are observable, testable, resilient, and maintainable as scientific workflows and data volumes scale.
  • Work directly with scientists to understand operational problems, identify root causes, and translate ambiguous workflows into clear technical solutions.
  • Improve data quality and system reliability through validation frameworks, automated testing, monitoring, and well-defined interfaces.
  • Establish strong engineering practices around code quality, CI/CD, deployment, documentation, and operational ownership.

Requirements

  • Bachelor’s degree in Software Engineering, Computer Science, Information Technology, or a related field; or equivalent professional experience.
  • 5+ years of professional software engineering experience building and operating production systems.
  • 3+ years of Python experience designing maintainable and well-tested software.
  • Experience building systems that integrate data across APIs, databases, files, asynchronous processes, and third-party platforms.
  • Experience with containers and modern deployment patterns using Docker and Kubernetes.

Experience designing scalable software architecture and making technical design decisions

  • Experience designing and consuming REST APIs.
  • Experience developing production systems on Google Cloud Platform and cloud-native architecture.
  • Experience leading SQL queries, designing relational data models, and developing production data pipelines or workflows.
  • Experience developing and operating production software using automated testing, CI/CD pipelines, application monitoring, logging, and incident troubleshooting practices., * 8+ years of professional software engineering experience building and operating production systems.
  • Experience in biotechnology, pharmaceuticals, life sciences, or another technically complex scientific environment.
  • Experience with LIMS, ELNs, compound registration systems, laboratory informatics, inventory platforms, or scientific instruments.
  • Familiarity with drug discovery data, including compounds, assays, experimental results, and scientific metadata.
  • Experience with BigQuery, dbt, Dagster, or similar modern data platforms and orchestration tools.
  • Experience building internal tools or user-facing applications for technical users.
  • Familiarity with scientific Python, cheminformatics, or bioinformatics workflows.
  • Experience with infrastructure-as-code and cloud security best practices.
  • Experience modernizing manual, fragmented, or vendor-dependent operational workflows.

Benefits & conditions

Pulled from the full job description Health insurance 401(k) matching Vision insurance Dental insurance Life insurance Unlimited paid time off Disability insurance, Superluminal offers a comprehensive benefits package that fully covers employees’ annual deductibles and monthly premiums for medical, dental, and vision insurance. The package also includes a 401(k) match program, a Massachusetts transportation subsidy, equity, unlimited paid time off, and both disability and life insurance.

About the company

Superluminal Medicines is a generative biology and chemistry company revolutionizing the speed and accuracy of how small molecule medicines are created. The Company’s platform aims to create candidate-ready compounds with unprecedented speed using a combination of deep biology, computational and medicinal chemistry, machine learning, and proprietary big data infrastructure. We are expanding the team of talented scientists who seek to build the future of small molecule drug discovery with creativity and innovation.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · WWC 2025

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · WWC Europe 2026

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

4:18 min

Prioritizing communication and structural awareness over strict tool mastery

Liam Hurrel +1 · WWC 2021

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · WWC Europe 2026

1:06 min

Developer experience and project variety at scale

Alexandra Petri · WWC 2023

Videos

See all

Related articles

See all