Senior Full-Stack Engineer - AI-Driven Lab R&D (Hybrid)

Sponsor Finder; Boston; Híbrido; GBP 91.000 - 136.000; Jornada completa

Descripción de la vacante

Dotmatics is seeking a Senior Full Stack Engineer to join our team, building the world’s most powerful R&D AI-powered platform. You will craft robust, scalable features and maintain a healthy codebase across Node.js and frontend React, with cloud experience and a passion for AI-driven software.

This is a hybrid role based in Boston, requiring you to be in the office twice per week, contributing to high-impact science workflows and data pipelines.

Formación

• 8+ years of software engineering experience in SaaS environments.
• Strong knowledge of backend and frontend tech and cloud services.
• Experience with scalable data processing and AI-powered platforms.

Responsabilidades

• Lead the development of complex, high-impact features.
• Develop and maintain serverless and event-driven data pipelines for high-volume data.
• Write clean, well-tested code and address technical debt; advocate architecture improvements.
• Collaborate with teammates to build intuitive user interfaces for complex research.
• Provide technical guidance via code reviews and pair programming to foster learning.
• Ensure reliability by adding observability and participating in deployment & production monitoring.

Conocimientos

RESTful APIs

PostgreSQL

AWS

Docker/Kubernetes

Kafka

Automated testing

CI/CD

GitHub Actions

Agile methodologies

NodeJs

React

Java

Go

C#

Educación

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

Herramientas

Terraform

AWS CodePipeline

Kubernetes

Descripción del empleo

Dotmatics is seeking a Senior Full Stack Engineer to join our team, building the world’s most powerful R&D AI-powered platform. You will craft robust, scalable features and maintain a healthy codebase across Node.js and frontend React, with cloud experience and a passion for AI-driven software.

This is a hybrid role based in Boston, requiring you to be in the office twice per week, contributing to high-impact science workflows and data pipelines.