Senior Full-Stack Engineer — AI-Driven R&D Platform

Dotmatics; United States; Hybrid; USD 140,000 - 190,000; Full time

Job summary

Dotmatics seeks a Senior Full Stack Engineer to join our team. You will build scalable features across a distributed system using Node.js and React, while contributing to AI-powered scientific platforms used by researchers.

You will design asynchronous, event-driven data pipelines, create robust APIs, and ensure quality through tests and CI/CD. The role offers a remote-friendly, hybrid work environment with meaningful impact on science.

Qualifications

• 8+ years of engineering experience, preferably in a SaaS environment
• Degree in Computer Science, Software Engineering, or equivalent
• Strong English communication (written & spoken)

Responsibilities

• Lead development of complex, high-impact features across a microservices architecture, owning backend services and frontend experiences
• Design, build, and maintain serverless and event-driven data pipelines for high-volume scientific data
• Build asynchronous, non-blocking services and APIs that scale under load
• Write clean, tested code and advocate for architectural improvements
• Collaborate with engineers to build intuitive UIs that simplify scientific research
• Provide guidance through code reviews and pair programming to foster learning
• Support service reliability with observability, deployment, and production monitoring

Skills

Node.js

React

RESTful APIs

PostgreSQL

Microservices

Kafka

AWS

Docker

Kubernetes

CI/CD

GitHub Actions

GitLab CI

Agile

Education

Bachelor's in CS/Software Eng

Tools

Docker

Kubernetes

Kafka

GitHub Actions

GitLab CI

AWS CodePipeline

PostgreSQL

Job description

Dotmatics seeks a Senior Full Stack Engineer to join our team. You will build scalable features across a distributed system using Node.js and React, while contributing to AI-powered scientific platforms used by researchers.

You will design asynchronous, event-driven data pipelines, create robust APIs, and ensure quality through tests and CI/CD. The role offers a remote-friendly, hybrid work environment with meaningful impact on science.