Full Stack Engineer | Luma

Dotmatics Ltd.; Boston (MA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Dotmatics is building the world’s most powerful R&D AI-powered platform. As a Senior Full Stack Engineer, you will develop robust, scalable features across front-end and back-end services for Luma and related tools.

You will contribute to data integration, AI-driven workflows, and high-impact features that help scientists streamline research. The role is hybrid in Boston, requiring in-office presence twice per week.

Qualifications

• 8+ years of engineering experience, preferably in a SaaS environment.
• Strong software engineering with Node.js, React, Java, Go, or C#.
• Experience with RESTful APIs and PostgreSQL.
• Hands-on experience with AWS services; Docker/Kubernetes.
• Experience with Kafka and event-driven architectures.
• Proficient in CI/CD tools like GitHub Actions or AWS CodePipeline.
• Agile methodologies.
• Familiarity with Terraform or similar deployment technologies.

Responsibilities

• Lead the development of complex, high-impact features.
• Develop data pipelines and serverless/event-driven data processing.
• Write clean, maintainable, and well-tested code; address technical debt and improve architecture.
• Collaborate with team members to build intuitive interfaces that support scientific research.
• Provide technical guidance through code reviews and pair programming.
• Ensure service reliability through observability and production deployments.

Skills

RESTful APIs

Agile methodologies

Education

Bachelor's degree in Computer Science, Software Engineering, or equivalent

Tools

NodeJs

React

Java

Go

C#

PostgreSQL

AWS

Docker

Kubernetes

Kafka

GitHub Actions

AWS CodePipeline

Terraform

Job description

At Dotmatics, a Siemens company, 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, 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

Dotmatics is seeking a Senior Full Stack Engineer to join our team. We are building the most powerful R&D AI-Powered platform in the world. Luma is an AI-Native Multimodal Research Platform for Scientific Intelligence, Luma fits the way our customers \"do science\".

It allows scientists to streamline scientific research with adaptive R&D workflows driven by AI and seamless data integration. As a Senior Full Stack Engineer, you will be responsible for building robust, scalable features and ensuring the technical health of our codebase. We value engineers who are curious about AI and are motivated to find new ways to use AI in software development.

This is a hybrid role, requiring you to work from our Boston, US office twice per week.

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

In this role you will

• Lead the development of complex, high-impact features
• Develop and maintain serverless and event-driven data pipelines capable of handling high-volume scientific data.
• Write clean, maintainable, and well-tested code. You will proactively identify technical debt and advocate for architectural improvements.
• Partner closely with other team members to build intuitive user interfaces that simplify complex scientific research.
• Provide technical guidance through thoughtful code reviews and pair programming, fostering a culture of continuous learning.
• Support the reliability of our services by implementing observability and participating in the deployment and monitoring of your code in production.

We are looking for candidates with 8+ years experience in engineering preferably in a SaaS environment, and ideally with a degree in Computer Science, Software Engineering, or equivalent. You will be curious and inquisitive, questioning the why and the how, and will bring strong software engineering experience with NodeJs, React, Java, Go, C# (or similar object-oriented/backend languages).

The key skills we are looking for

• Proven experience building and consuming RESTful APIs and working with PostgreSQL.
• Hands-on experience with AWS services and a solid understanding of Docker/Kubernetes for container orchestration.
• Experience working with message-based architectures (e.g., Kafka) and event-driven patterns.
• A strong advocate for automated testing (unit, integration, E2E) and experience with CI/CD tools like GitHub Actions or AWS CodePipeline.
• Proficiency in Agile methodologies and a track record of delivering value in iterative cycles.

You may also have experience in

• Experience building and scaling complex data ingestion or processing workflows.
• Experience with Terraform or similar deployment technologies.
• Exposure to AWS/GCP or experience designing systems that can run across multiple cloud providers.
• Experience leading small project teams or acting as a \"feature lead\".
• Background in Life Sciences or R&D data management.