Senior Software Engineer
About The Position
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 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
Requirements
- 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
- 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
- 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
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
Responsibilities
- 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
- 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
- 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
- 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
- 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
- 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
Benefits
- General office setting
- This position qualifies for a hybrid schedule - 4 days in-office, 1 day working remote
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What This Job Offers
Job Type
Full-time
Career Level
Senior
