Full Stack Software Engineer

Azenta; SOUTH PLAINFIELD (NJ); On-site; USD 110,000 - 150,000; Full time

Job summary

Azenta Inc. in South Plainfield, NJ is seeking a Full Stack Software Engineer to design, build, and maintain a laboratory operations platform that connects lab workflows with our LIMS.

You will develop intuitive UIs, back-end services, APIs, and data integrations to improve sample tracking and operational visibility. The role emphasizes turning prototypes into robust software, collaborating with Lab Operations, Bioinformatics, LIMS, Quality, and IT to deliver scalable, secure solutions across

Qualifications

• 3+ years of professional full-stack experience building enterprise platforms.
• Experience with React or Vue and responsive UI design.
• Back-end experience with .NET or Python, REST APIs, and data modeling.
• Experience with Git, automated testing, CI/CD, Docker, and AWS.
• Ability to design secure, scalable, observable applications.
• Experience integrating enterprise systems via APIs and web services.

Responsibilities

• Design, develop, test, deploy, and maintain full-stack capabilities across UI, services, APIs, and data layers.
• Translate user requests into intuitive workflows and improved usability.
• Define data models and secure APIs for core sample and workflow data.
• Contribute to architecture decisions for performance and security.
• Extend platform to integrate with lab instruments and automation systems.
• Collaborate with Quality Assurance to produce documented, auditable records.
• Work with teams across the U.S., EMEA, and APAC to deliver reusable platform capabilities.
• Integrate with enterprise identity, messaging, and monitoring services.

Skills

React

Vue

Python

.NET

REST APIs

CI/CD

Docker

AWS

Security

API integration

Tools

Git

CI/CD pipelines

Docker

AWS

Job description

Azenta Inc.

At Azenta, new ideas, new technologies and new ways of thinking are driving our future. Our customer focused culture encourages employees to embrace innovation and challenge the status quo with novel thinking and collaborative work relationships.

All we accomplish is grounded in our core values of Customer Focus, Achievement, Accountability, Teamwork, Employee Value and Integrity

Job Title

Full Stack Software Engineer

Job Description

Position Title: Full Stack Software Engineer

Location: South Plainfield, NJ

Intro

Company Overview

At GENEWIZ by Azenta, new ideas, new technologies and new ways of thinking are driving our future. Our customer-focused culture encourages employees to embrace innovation and challenge the status quo with novel thinking and collaborative work relationships.

As a global leader in R&D genomics services, GENEWIZ, leads the way in providing superior data quality with unparalleled technical support to enable researchers around the world to advance their scientific discoveries faster than ever before.

Our customers at top-tier pharmaceutical, biotechnology, and academic institutions, as well as cutting-edge start-ups, rely on our proprietary technologies for consistent, reliable, high-quality data, even on the most difficult projects. A full-service provider, we provides Sanger DNA sequencing, gene synthesis, molecular biology, high throughput/next generation sequencing, bioinformatics, and GLP regulatory services

How You’ll Make an Impact

We are hiring a Full Stack Software Engineer to design, build, and support a laboratory operations platform that connects day-to-day lab workflows with our Laboratory Information Management System (LIMS). As an individual contributor, you will develop intuitive user interfaces, back-end services, APIs, and reliable data integrations that improve sample and workflow tracking, automate manual handoffs, and provide laboratory teams with timely operational visibility.

The ideal candidate is a pragmatic engineer who can turn existing prototypes, laboratory processes, and user needs into secure, traceable, and intuitive software. You will partner with Lab Operations, Bioinformatics, LIMS, Quality, and IT teams to define requirements and deliver a scalable platform that supports workflow orchestration, bidirectional LIMS data exchange, exception handling, auditability, and future laboratory applications.

Responsibilities

• Design, develop, test, deploy, and maintain full-stack capabilities across user interfaces, services, APIs, integration middleware, and data layers, including converting prototypes into formal, scalable software solutions.
• Translate user requests and operational needs into intuitive workflows and user experiences that simplify laboratory work and improve usability.
• Define data models and build secure, traceable APIs for exchanging core sample, workflow, status, and metadata between the platform and the LIMS, with support for additional data domains as the platform evolves.
• Contribute to architecture decisions and optimize application performance, scalability, reliability, security, observability, and supportability.
• Extend the platform to integrate with laboratory instruments and automation systems as priorities evolve, including data capture, validation, error handling, retries, and operational monitoring.
• Collaborate with Quality Assurance to produce requirements, design specifications, test evidence, release documentation, and audit-ready records for regulated workflows.
• Collaborate with teams across the U.S., EMEA, and APAC to deliver consistent, reusable platform capabilities and support regional laboratory needs.
• Integrate the laboratory platform with enterprise identity, messaging, data, and monitoring services using supported APIs and security standards.

Required Qualifications

• 3+ years of professional full-stack software development experience building and supporting enterprise or operational platforms.
• Strong proficiency with a modern front-end framework such as React or Vue, including reusable component development and responsive user-interface design.
• Strong back-end development experience with .NET or Python, including REST APIs, service design, relational databases, and data modeling.
• Experience with Git-based development, automated testing and CI/CD, Docker or similar container technologies, and deployment on AWS.
• Experience designing secure, scalable, observable, and supportable applications, including authentication, authorization, logging, monitoring, and error handling.
• Experience integrating enterprise systems through APIs, web services, messaging, or file-based interfaces; experience with operational, manufacturing, healthcare, scientific, or other workflow-intensive systems is applicable.
• Solid understanding of modular architecture, distributed-system design, data integrity, performance optimization, and software engineering best practices.
• Ability to translate complex operational workflows and