Staff Software Engineer Contingent - cryoport

Cryoport Systems is a comprehensive supply chain partner for the life sciences industry, delivering specialized solutions to meet the challenges of the biopharmaceutical, cell and gene therapy, reproductive medicine, and animal health markets. Our offerings span logistics, BioServices and biostorage, cryopreservation, and consulting, ensuring the highest standards of quality and reliability for sensitive materials. With our expansive platform of management solutions and decades of temperature-controlled supply chain expertise, Cryoport Systems helps Enable the Outcome™ by supporting certainty and precision in the supply chain, whether advancing groundbreaking therapies, supporting families on their reproductive journeys, or enhancing animal health programs.

Position Summary

As a Staff Software Engineer at our organization, you will lead technical initiatives, optimize team delivery, and drive architectural decisions within one of our teams. You will collaborate closely with the technical leadership team to ensure deliverables align with the organization’s broader goals and support our clients’ needs, including the design and delivery of AI-powered capabilities.

You will be responsible for building, evolving and supporting core value stream application components essential for our organization’s growth. Your leadership will ensure system success and foster technical excellence, allowing our team to deliver certainty and reliability across our business..

Key Responsibilities

Technical Expertise

• Architect, design and implement scalable, resilient, and maintainable software systems aligned with business objectives.
• Execute value stream initiatives in an agile environment, ensuring that features meet business and technical goals.
• Establish and enforce best practices in software development, including modularization, code quality, testing, security and data modeling.
• Design, build, and productionize AI/ML and LLM-powered features (e.g., retrieval-augmented generation, agentic workflows) with the same rigor applied to core systems — including testing, observability, security, and cost/performance tradeoffs.

Systems Thinking and Innovation

• Participate in technical discussions, architecture reviews, and roadmap planning.
• Define and evolve the technical vision and architecture for the stream.
• Advocate for Domain-Driven Design (DDD) and loosely coupled architectures.
• Evaluate and help introduce new technologies, frameworks, and tools to enhance efficiency and scalability.
• Stay current on emerging AI/ML capabilities and identify practical opportunities to apply generative AI, automation, and intelligent tooling within the value stream.

Stream Alignment