Senior Software Engineer

Saved 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

Senior Software Engineer

Job Description

How You’ll Add Value:

As a Senior Software Engineer, you will be responsible for designing and implementing scalable, secure, and maintainable software solutions across cloud-native microservices, data platforms, AI-enabled applications, and integration services. You will collaborate closely with Product Management, Architecture, Quality, DevOps, UX, and Business stakeholders to translate business requirements into enterprise-grade software solutions.

You will play a critical role in building Azenta's next-generation Informatics platform by:

Designing and delivering scalable cloud-native software solutions

Building highly available, secure, and compliant enterprise applications

Accelerating software delivery through modern DevSecOps and AI-assisted development practices

Driving engineering excellence through architecture, code quality, automation, and observability

Supporting innovation in AI-enabled workflows, analytics, and decision-support capabilities

Mentoring engineers and influencing technical direction across the platform

Helping establish the long-term engineering foundation for the LIMS platform

What You’ll Do:

Software Engineering & Architecture:

Design, develop, test, deploy, and maintain enterprise-scale software solutions

Contribute to application architecture, platform architecture, and technical roadmap planning

Develop cloud-native services using modern microservices and event-driven architectures

Create reusable frameworks, services, APIs, and platform components

Design highly available and resilient systems capable of supporting large-scale sample and laboratory data workloads

Participate in architecture reviews and technical design sessions

Platform & Cloud Engineering:

Build and operate applications within AWS cloud environments

Develop Infrastructure as Code solutions using Terraform and related tooling

Implement containerized workloads using Kubernetes and container technologies

Contribute to system scalability, reliability, performance, disaster recovery, and operational readiness

Implement platform monitoring, logging, alerting, and observability solutions

AI & Data Engineering:

Develop AI-enabled platform capabilities including intelligent search, recommendations, workflow automation, analytics, and natural language interfaces

Collaborate with data and AI teams to integrate machine learning and generative AI services

Design scalable data processing and integration workflows

Support development of knowledge management and retrieval capabilities

Product Development:

Participate in requirements analysis, solution design, estimation, and planning activities

Collaborate with product managers, business analysts, architects, and UX designers

Translate business requirements into technical solutions

Participate in software release planning and post-release support activities

Support product validation and customer-focused development efforts

Quality & DevSecOps:

Champion engineering best practices across the Software Development Lifecycle (SDLC)

Implement automated testing strategies including unit, integration, performance, and regression testing

Conduct code reviews and mentor junior engineers

Support CI/CD pipeline implementation and optimization

Ensure compliance with security, privacy, audit, and quality requirements

Promote secure coding standards and DevSecOps practices

Leadership & Collaboration:

Lead technical initiatives and complex development efforts

Mentor engineers and provide technical guidance across teams

Work effectively in cross-functional and geographically distributed teams

Contribute to continuous improvement initiatives and engineering standards

Evaluate emerging technologies and recommend adoption where appropriate

What You Will Bring:

Required Qualifications:

BS/MS in Computer Science, Software Engineering, Information Systems, or related discipline, or an equivalent combination of education and professional experience

7+ years of professional software engineering experience developing enterprise applications, including experience with SaaS/cloud-native solutions, Agile development, and the full Software Development Lifecycle

Technical Expertise:

Strong proficiency in Java with experience in React/TypeScript and/or Python

Experience designing and developing enterprise applications using microservices, REST APIs, event-driven architectures, and third-party system integrations

Strong experience with AWS and modern cloud/platform engineering practices, including Kubernetes/Docker, Infrastructure as Code (e.g., Terraform), and CI/CD

Experience with relational databases such as PostgreSQL, including data modeling, design, optimization, and performance tuning

Experience with modern DevSecOps practices, including automated testing, code quality, monitoring/observability, and secure software development

Experience developing or integrating AI, machine learning, generative AI, or intelligent automation capabilities

Knowledge of relevant interoperability standards and frameworks such as REST, OpenAPI, HL7, and FHIR

Core Competencies:

Strong architecture, system design, analytical, and problem-solving skills

Strong communication and cross-functional collaboration skills

Demonstrated ability to mentor engineers and influence technical direction and engineering standards

Ability to balance business priorities, technical excellence, and competing demands

Preferred Qualifications:

Experience with LIMS, biobanking, laboratory, or scientific software, including laboratory instrument integration

Experience within Life Sciences, Biotechnology, Healthcare, Diagnostics, or Clinical Research

Experience supporting regulated environments such as GxP, FDA, HIPAA, GDPR, ISO 27001, or SOC 2

Knowledge of bioinformatics, genomics, sample management, or scientific workflows

Experience designing multi-tenant SaaS platforms or participating in large-scale modernization/digital transformation initiatives

Experience with AI-enabled capabilities such as intelligent search, knowledge retrieval, natural language interfaces, or workflow automation

Your Working Conditions: 

General office setting

This position qualifies for a hybrid schedule - 4 days in-office,1 day working remote

Join us and help enable life‑changing discoveries by keeping critical life science systems running reliably—every day.

#IND123

*This position is currently not eligible for any employment sponsorship.*

If any applicant is unable to complete an application or respond to a job opening because of a disability, please email at Recruiting@azenta.com for assistance. 

Azenta is an Equal Opportunity Employer. This company considers candidates regardless of race, color, age, religion, gender, sexual orientation, gender identity, national origin, disability or veteran status.

United States Base Compensation: $135,000.00 - $169,000.00

The posted pay range for this position is an estimate based on current market data and internal pay structure. Final compensation may vary above or below this range depending on factors such as experience, education (including licensure and certifications),  qualifications, performance, and geographic location, among other relevant business or organizational needs.