Senior Software Engineer

Azenta•Plainfield, IN

7d•Hybrid

About The Position

Azenta is seeking a Senior Software Engineer to design and implement scalable, secure, and maintainable software across cloud-native microservices, data platforms, AI-enabled applications, and integration services. The role collaborates with Product Management, Architecture, Quality, DevOps, UX, and business stakeholders to convert business requirements into enterprise-grade solutions and help build Azenta’s next-generation Informatics platform and long-term LIMS engineering foundation. The engineer will contribute to software and platform architecture, cloud and platform operations, AI and data capabilities, product development, software quality, DevSecOps, and technical leadership. The position includes leading complex technical efforts, mentoring engineers, shaping technical direction, and supporting secure, compliant, highly available systems for laboratory and sample data workloads. The position is based in a general office setting and follows a hybrid schedule of four days in the office and one day working remotely. It is not currently eligible for employment sponsorship. The stated U.S. base compensation range is $135,000 to $169,000; final compensation may vary based on experience, education, qualifications, performance, location, and other business needs.

Requirements

Bachelor’s or master’s degree in Computer Science, Software Engineering, Information Systems, or a related discipline, or an equivalent combination of education and professional experience.
At least 7 years of professional software engineering experience developing enterprise applications, including 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 such as 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.

Nice To Haves

Experience with LIMS, biobanking, laboratory, or scientific software, including laboratory instrument integration.
Experience in 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 and platform architecture and technical roadmap planning.
Develop cloud-native services using microservices and event-driven architectures, and create reusable frameworks, services, APIs, and platform components.
Design highly available and resilient systems to support 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 solutions using Terraform and related tools, and implement containerized workloads using Kubernetes and container technologies.
Contribute to scalability, reliability, performance, disaster recovery, and operational readiness.
Implement monitoring, logging, alerting, and observability solutions.
Develop AI-enabled capabilities such as 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 data-processing and integration workflows; and support knowledge-management and retrieval capabilities.
Participate in requirements analysis, solution design, estimation, planning, release planning, and post-release support.
Collaborate with product managers, business analysts, architects, and UX designers to translate business requirements into technical solutions.
Support product validation and customer-focused development efforts.
Promote software-development lifecycle best practices and implement automated unit, integration, performance, and regression testing strategies.
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 and DevSecOps practices.
Lead technical initiatives and complex development efforts, provide technical guidance across teams, and contribute to engineering standards and continuous improvement.
Work with cross-functional and geographically distributed teams, and evaluate emerging technologies for potential adoption.