Principal Software Architect

Dotmatics; Boston (MA); Remote; USD 180,000 - 260,000; Full time

Job summary

Dotmatics is seeking a Principal Engineering Architect to shape the architecture of Luma, our next-generation, AI-powered data management platform. You will design AWS deployment strategies and guide the engineering and product teams to deliver scalable, secure solutions for multi-tenant environments.

You will mentor engineers, drive architectural reviews, and collaborate with product managers to align on requirements for cloud deployments across customer environments.

Qualifications

• BSc in Computer Science or related field with strong architecture background.
• 10+ years of equivalent engineering architecture experience.
• Proven experience delivering multi-tenant cloud platforms at scale.

Responsibilities

• Own end-to-end architecture for Luma, from data ingestion to AI agent experience.
• Influence platform technology choices and design scalable solutions.
• Ensure data isolation and auditability for regulated customers.
• Lead architectural reviews and drive best practices across teams.
• Mentor engineers and shape project delivery to timelines.

Skills

Cloud architecture

Systems design

AWS services

Kubernetes

Kafka

APIs integration

IaC (CloudFormation, Terraform)

Containerization (Docker/Podman)

Networking in cloud

Software lifecycle

Education

BSc in Computer Science or equivalent

Tools

CloudFormation

Terraform

Databricks

Apache Spark

SiLA

OPC-UA

Job description

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

We are looking for an experienced Principal Engineering Architect to help shape the architecture of Dotmatics Luma, our next-generation, multi-tenant, AI-powered data management and workflow automation platform for multimodal scientific discovery. You will design and refine the AWS systems that deploy Luma efficiently to customers.

As a Principal Software Engineering Architect, you will be a key driver in delivering Luma to customers. This role will be an influential leader and advisor to the Engineering and Product teams. You will provide deep technical expertise on our current technologies, and technical leadership that promotes new ideas and improves how we build and release Luma, including how instruments, scientific data, and the AI agent at the core of the platform connect.

In this role you will get to

• Support and drive the end-to-end architecture of Luma, from instrument connectivity and data ingestion through to the platform services and AI agent experience
• Influence technology choices for the platform
• Design solutions that are enterprise scalable and maintainable, with the data isolation and auditability that regulated scientific customers
• Collaborate on architectural principles, frameworks, best practices, and standard, including how the AI agent and extension points such as MCP connect securely to platform services
• Drive strategic technology initiatives with Product Managers, other Architects, and Engineers
• Be hands-on in developing and delivering Luma, this includes prototyping and guiding the implementation of components inside of Luma.
• Help improve developer experience and software lifecycle by proposing tools and pipelines that increase the quality of the software development experience.
• Advise the product team in clarifying requirements for deploying Luma into customer clouds, including multi-tenant and regulated-environment needs
• Work with customer cloud teams.
• Facilitate the architecture processes, including architecture reviews and documentation
• Mentor other software engineers on the team
• Shape projects in a timely manner to established architecture patterns
• Work in a consultative fashion to improve communication, collaboration, and alignment among teams inside and outside the organization
• Analyse and provide feedback on Luma product strategy

We are looking for people who

have a BSc in Computer Science and 10+ equivalent, with deep technical expertise in engineering architecture and engineering design. You will have expert knowledge of building, releasing, and maintaining a complex scientific enterprise software platform.

The Key Skills we are looking for:

• Deep understanding of modern cloud software architecture, including multi-tenant platforms
• Systems design and development, with a solid understanding of application development best practices and core enterprise applications
• Deep knowledge of AWS services
• Knowledge of cloud-native infrastructure such as Kubernetes and Kafka
• Working technical knowledge of integration strategies, including web services and APIs
• Experience setting up agentic harnesses for code generation
• Influential communication with core and cross-functional teams
• Infrastructure-as-code solutions (CloudFormation, Terraform)
• Software containerization concepts (Docker, Podman)
• Knowledge of networking concepts in cloud environments
• Software development lifecycle processes and version control
• Business requirements gathering and analysis, strategic planning, and project planning and management
• Engineering evaluation principles and practice

You may also have:

• Instrument integration and scientific data ingestion (e.g. SiLA, OPC-UA)
• Apache Spark, Databricks, or comparable data platforms
• Experience using research informatics software and tools
• Scala

Dotmatics is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work.