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

Dotmatics Ltd.; Boston (MA); Ibrido; USD 140.000 - 190.000; Tempo pieno

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

RESTful APIs

Agile methodologies

Formazione

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

Strumenti

NodeJs

React

Java

Go

C#

PostgreSQL

AWS

Docker

Kubernetes

Kafka

GitHub Actions

AWS CodePipeline

Terraform

Descrizione del lavoro

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.