Senior Software Engineer

Senior Software Engineer at Azenta, focusing on scalable, secure software across cloud-native services, data platforms, and AI-enabled workflows.

Responsibilities

• Design and deliver scalable cloud-native software solutions
• Build highly available, secure, and compliant enterprise applications
• Advance software delivery using modern DevSecOps and AI-assisted development practices
• Drive engineering excellence through architecture, code quality, automation, and observability
• Support innovation in AI-enabled workflows, analytics, and decision-support capabilities
• Mentor engineers and influence technical direction across the platform
• Help establish the long-term engineering foundation for the LIMS platform
• Design, develop, test, deploy, and maintain enterprise-scale software solutions
• Contribute to application and platform architecture, plus technical roadmap planning
• Develop cloud-native services using modern microservices and event-driven architectures
• Create reusable frameworks, services, APIs, and platform components
• Design resilient systems for large-scale sample and laboratory data workloads
• Participate in architecture reviews and technical design sessions
• Build and operate applications in AWS cloud environments
• Develop Infrastructure as Code using Terraform and related tooling
• Implement containerized workloads with Kubernetes and container technologies
• Improve 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 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
• Support software release planning and post-release support activities
• Support product validation and customer-focused development efforts
• Champion engineering best practices across the 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
• Work effectively in cross-functional and geographically distributed teams
• Contribute to continuous improvement initiatives and engineering standards
• Evaluate emerging technologies and recommend adoption when appropriate
• Collaborate with Product Management, Architecture, Quality, DevOps, UX, and Business stakeholders to translate business requirements into enterprise-grade software solutions

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 building 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, including Kubernetes/Docker, Infrastructure as Code (for example, 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 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

Technologies

• Java
• React
• TypeScript
• Python
• AWS
• Kubernetes
• Docker
• Terraform
• CI/CD
• PostgreSQL
• REST APIs
• Microservices
• Event-driven architectures
• Infrastructure as Code
• Unit testing
• Integration testing
• Performance testing
• Regression testing
• Machine learning
• Generative AI
• Intelligent automation
• REST
• OpenAPI
• HL7
• FHIR

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

Working Conditions

• General office setting
• Hybrid schedule: 4 days in-office, 1 day working remote

Location: Plainfield, IN (hybrid)

Compensation: USD 135,000 - 169,000 per year