Cryoport Systems seeks to solve the challenge of providing end-to-end temperature-controlled supply chain solutions for the life science industry, including biopharmaceutical, IVF, and animal health sectors, by leveraging scalable, secure, and insight-driven technology platforms.
Requirements
- Data Engineering and analytics platforms including Spark, Kafka, Airflow, and dbt
- Data modeling, governance, lineage, and metadata management
- Machine learning frameworks such as TensorFlow, PyTorch, and MLflow
- Backend and frontend technologies including Java, Python, Go, react, and Angular
- Microservices and event driven architectures using domain driven design principles
- Cloud infrastructure on AWS, GCP, or Azure with Kubernetes and Docker
- CI and CD automation, infrastructure as code, and observability platforms
Responsibilities
- Define and execute multi quarter technology, platform, and data roadmaps aligned with business objectives
- Lead architecture, design, and delivery of enterprise platforms supporting cold chain orchestration, analytics and automation
- Establish data and AI infrastructure including data lakes, pipelines, and governance frameworks
- Integrate predictive analytics and AI models into products and operations
- Evaluate emerging AI and platform technologies for scalability, cost efficiency, and regulatory alignment
- Direct research and development for AI, data, and IoT initiatives; transition validated pilots into production platforms
- Implement scaled Agile delivery processes and maintain performance dashboards for velocity, reliability, and quality
Other
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline (required); Master’s degree (preferred)
- 12+ years of professional software engineering experience, including at least 5 years in a leadership role overseeing multiple engineering teams
- Demonstrated success defining and delivering large-scale technology initiatives in a regulated environment
- Proven track record building and scaling high-performing engineering organizations, recruiting senior talent, and developing leaders
- Owns platform, data, and AI strategy that drives operational and business performance
