Senior Software Engineer

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 solutionsBuilding highly available, secure, and compliant enterprise applicationsAccelerating software delivery through modern DevSecOps and AI-assisted development practicesDriving engineering excellence through architecture, code quality, automation, and observabilitySupporting innovation in AI-enabled workflows, analytics, and decision-support capabilitiesMentoring engineers and influencing technical direction across the platformHelping 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 solutionsContribute to application architecture, platform architecture, and technical roadmap planningDevelop cloud-native services using modern microservices and event-driven architecturesCreate reusable frameworks, services, APIs, and platform componentsDesign highly available and resilient systems capable of supporting large-scale sample and laboratory data workloadsParticipate in architecture reviews and technical design sessions Platform & Cloud Engineering: Build and operate applications within AWS cloud environmentsDevelop Infrastructure as Code solutions using Terraform and related toolingImplement containerized workloads using Kubernetes and container technologiesContribute to system scalability, reliability, performance, disaster recovery, and operational readinessImplement 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 interfacesCollaborate with data and AI teams to integrate machine learning and generative AI servicesDesign scalable data processing and integration workflowsSupport development of knowledge management and retrieval capabilities Product Development: Participate in requirements analysis, solution design, estimation, and planning activitiesCollaborate with product managers, business analysts, architects, and UX designersTranslate business requirements into technical solutionsParticipate in software release planning and post-release support activitiesSupport 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 testingConduct code reviews and mentor junior engineersSupport CI/CD pipeline implementation and optimizationEnsure compliance with security, privacy, audit, and quality requirementsPromote secure coding standards and DevSecOps practices Leadership & Collaboration: Lead technical initiatives and complex development effortsMentor engineers and provide technical guidance across teamsWork effectively in cross-functional and geographically distributed teamsContribute to continuous improvement initiatives and engineering standardsEvaluate 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 experience7+ 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 PythonExperience designing and developing enterprise applications using microservices, REST APIs, event-driven architectures, and third-party system integrationsStrong experience with AWS and modern cloud/platform engineering practices, including Kubernetes/Docker, Infrastructure as Code (e.g., Terraform), and CI/CDExperience with relational databases such as PostgreSQL, including data modeling, design, optimization, and performance tuningExperience with modern DevSecOps practices, including automated testing, code quality, monitoring/observability, and secure software developmentExperience developing or integrating AI, machine learning, generative AI, or intelligent automation capabilitiesKnowledge of relevant interoperability standards and frameworks such as REST, OpenAPI, HL7, and FHIR Core Competencies: Strong architecture, system design, analytical, and problem-solving skillsStrong communication and cross-functional collaboration skillsDemonstrated ability to mentor engineers and influence technical direction and engineering standardsAbility to balance business priorities, technical excellence, and competing demands Preferred Qualifications: Experience with LIMS, biobanking, laboratory, or scientific software, including laboratory instrument integrationExperience within Life Sciences, Biotechnology, Healthcare, Diagnostics, or Clinical ResearchExperience supporting regulated environments such as GxP, FDA, HIPAA, GDPR, ISO 27001, or SOC 2Knowledge of bioinformatics, genomics, sample management, or scientific workflowsExperience designing multi-tenant SaaS platforms or participating in large-scale modernization/digital transformation initiativesExperience with AI-enabled capabilities such as intelligent search, knowledge retrieval, natural language interfaces, or workflow automation Your Working Conditions: General office settingThis 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.