Senior Software Engineer

Dotmatics; United States; Hybrid; MXN 900,000 - 1,500,000; Full time

Job summary

Dotmatics, a Siemens company, seeks a Senior Full Stack Engineer to join our global, remote-friendly team building the Luma AI-powered R&D platform. You will work on scalable features across a distributed, event-driven system using Node.js and React, designing microservices and data pipelines.

The ideal candidate has 8+ years in software engineering, strong English, and hands-on experience with AWS, Docker, Kubernetes, and RESTful APIs.

Qualifications

• 8+ years of engineering experience, preferably in a SaaS environment.
• Degree in Computer Science or Software Engineering, or equivalent.
• Curious and inquisitive mindset.

Responsibilities

• Lead development of high-impact features across microservices, backend and frontend.
• Design, build, and maintain serverless data pipelines and streaming workflows.
• Create asynchronous, non-blocking services and APIs that scale under load.
• Write clean, well-tested code and address technical debt.
• Collaborate with engineers to build intuitive user interfaces for scientific tools.
• Provide code reviews and pair programming to foster learning.
• Ensure reliability by adding observability and monitoring in production.

Skills

Node.js

React

REST APIs

PostgreSQL

Microservices

Kafka

AWS

Docker

Kubernetes

CI/CD

Agile

English fluency

Education

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

Tools

Docker

Kubernetes

Kafka

AWS

GitHub Actions

GitLab CI

AWS CodePipeline

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**

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 – it fits the way our customers "do science," letting them streamline research with adaptive R&D workflows driven by AI and seamless data integration.

As a Senior Full Stack Engineer, you'll build scalable features across a distributed, event‑driven system and help maintain the technical health of our codebase. You should be a hands‑on expert across the Node.js/React ecosystem, comfortable designing asynchronous, microservice‑based architectures, with a genuine passion for scientific innovation. We value engineers who are curious about AI and motivated to find new ways to apply it in software development.

This is no ordinary engineering role, this is a product with real‑world meaning, one that helps define how scientists work, helping bring medicine to market quicker and find cures for diseases faster. This is LUMA.

In this role you will:

• Lead development of complex, high‑impact features across a microservices architecture, owning both backend services and the frontend experiences they power
• Design, build, and maintain serverless and event‑driven data pipelines — including streaming and message‑based workflows — capable of handling high‑volume scientific data
• Build asynchronous, non‑blocking services and APIs that scale reliably under load
• Write clean, maintainable, well‑tested code; proactively identify technical debt and advocate for architectural improvements
• Partner closely with other engineers 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 deployment and monitoring of your code in production

We are looking for candidates with:

• Strong fluency with English - Written & Spoken
• 8+ years of engineering experience, preferably in a SaaS environment, ideally with a degree in Computer Science, Software Engineering, or equivalent
• You’re curious and inquisitive - someone who questions the why and the how.

The key skills:

• Strong commercial experience building backend services with Node.js and modern frontend applications with React
• Solid experience designing, building, and consuming RESTful APIs
• Strong proficiency working with PostgreSQL and relational database design
• Experience designing and working within microservices and event‑driven architectures, preferably using Kafka
• Strong understanding of asynchronous programming patterns and distributed systems
• Hands‑on experience with AWS services in production environments
• Experience using Docker and Kubernetes for containerisation and orchestration
• A strong advocate for automated testing (unit, integration, E2E) and experience with CI/CD tools such as GitHub Actions, GitLab CI, or AWS CodePipeline
• Proficiency in Agile methodologies and a track record of delivering value in iterative cycles

You may also have experience in:

• Building and scaling complex data ingestion or processing workflows
• Building messaging bots or other automated, event‑triggered tooling
• Terraform or similar infrastructure‑as‑code technologies
• Exposure to AWS/GCP/Azure, or designing systems that run across multiple cloud providers
• Leading small project teams or acting as a "feature lead," including mentoring engineers and running code reviews
• Background in Life Sciences or R&D data management