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.

Requirements

Must-haves

All we accomplish is grounded in our core values of Customer Focus, Achievement, Accountability, Teamwork, Employee Value and Integrity
Job Title Senior Software Engineer
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
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
Build and operate applications within AWS cloud environments
Develop Infrastructure as Code solutions using Terraform and related tooling

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiawskubernetesmachine learningci/cdagilejavareacttypescriptpythonrestdocker

Platform: workday
Effort: long