Staff Software Engineer - Data Processing & Execution Platform

Our Why At Dotmatics

At Dotmatics, we believe science, data, and decision-making must be deeply intertwined for innovation to thrive.

Our Portfolio includes Luma, LumaLab Connect, ELN Platform, Graphpad Prism, Geneious, SnapGene, Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, MStar, SoftGenetics and Virscidian.

We have a vision for a new Lab of the Future that will change the future of scientific research.

We have created the world’s most comprehensive digital science platform – best-of-breed software applications already used by more than 2 million scientists, together in a single ecosystem united by a powerful, flexible enterprise data platform. This is not flat data buried away in digital graveyards. This is dynamic, multi-dimensional decision-making.

Scientific enterprises need a new level of effectiveness to achieve tomorrow’s breakthroughs. Illness will not wait. The biosphere will not wait. We are tireless in our vision, because the time for innovation is now.

Shaping the Future of Science At Dotmatics

Our global team of more than 800 colleagues are dedicated to supporting our customers in over 180 countries. Together, with our scientific community of users, we accelerate scientific innovation in order to make the world a healthier, cleaner, and safer place to live.

You’ll join a collaborative, global team pushing the boundaries of scientific innovation. Your ideas and efforts will have a tangible impact, accelerating scientific progress and discovery. We offer a dynamic, remote-friendly environment that fosters high integrity and collaboration, empowering you to excel. Dotmatics is a company built by scientists, for scientists. Combined, we are now the world’s largest cloud-based scientific research R D platform. We need your help to keep growing and pioneering the future.

We are Science Driven. We are Customer Centric. We are Better Together.

What do we Need:

As a Staff Software Engineer, you will be the technical lead for the data processing and execution platform — a set of services that take user-initiated operations (data commits, transformations, workflows) and execute them reliably across shared compute infrastructure. This is a distributed, event-driven system with multiple services coordinating through asynchronous message passing.

This is no ordinary engineering role - this is working on a product with real world meaning - a product that helps define the way scientists works, helping bring medicine to market quicker, finding cures for diseases faster

This is LUMA

**This is a remote position, located in Mass. There will be some travel required to the office in Boston for team meetings and working sessions.**

In this role, you will:

Define and drive system architecture for event-driven data processing services, leading the migration of key components to a Node.js/TypeScript and Python ecosystem

Contribute to and improve engineering standards, patterns, and best practices for distributed systems, observability, and reliability across a multi-service platform coordinated through Kafka, GraphQL and RESTful APIs

Architect and implement asynchronous data processing pipelines for high-volume scientific data, with attention to at-least-once delivery guarantees, backpressure, and graceful degradation

Guarantee the scalability, maintainability, and security of software solutions running on Kubernetes and AWS

Take ownership of existing services, develop a deep understanding of their behavior, and make pragmatic decisions about how to evolve them

We are looking for candidates with 12+ years experience in engineering preferably in a SaaS environment, and ideally with a degree in Computer Science, Software Engineering, or equivalent.

The Key Skills we are looking for:

Language-agnostic engineering mindset — you pick up new languages and codebases quickly, reason about distributed system design independent of any single runtime, and can be productive in an unfamiliar stack within weeks

Advanced working experience in Asynchronous processing

Strong proficiency in Node.js/TypeScript and Python for building production backend services

Proven experience designing and implementing distributed, event-driven systems coordinated through message buses, GraphQL and RESTful APIs

Experience implementing automated testing platforms, unit tests, and integration tests

Advanced working experience with large data processing platforms such as Spark, Databricks, or Snowflake

Experience managing state across multiple stores (e.g. a message bus, a relational database, and a cache) and the consistency challenges that come with it

Hands-on experience with AWS in production environments and a solid understanding of Kubernetes for orchestrating workloads

Proficiency with CI/CD tools such as GitHub Actions

Knowledge of Agile software development practices

Setting technical direction, leading cross-team initiatives, and leveling up other engineers through mentoring and architectu…