Director- Software Engineering

Cryoport Systems is the life science industry’s most trusted provider of supply chain solutions for temperature-sensitive materials, serving biopharmaceutical, IVF and surrogacy and animal health organizations around the world. Cryoport Systems' proprietary Cryoport Express® shippers, Cryoportal® Logistics Management Platform, leading-edge Smartpak™ Condition Monitoring System and geo-sensing technology paired with unparalleled logistics expertise and 24/7/365 customer support, make Cryoport Systems the end-to-end temperature controlled supply chain partner that you can trust.

POSITION SUMMARY:

The Director- Software Engineering leads platform and data engineering functions that power Cyroport Systems. The role defines and executes the technology, data, and AI strategy that supports growth, compliance, and innovation. This leader owns delivery of key digital platforms, ensuring architectures are scalable, secure, and insight driven. This role fosters a higher performance culture that combines engineering excellence with automation and intelligent systems.

PRIMARY RESPONSIBILITIES (include but are not limited to):

• 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

• Partner with Product, Finance, and Executive Leadership to prioritize investments and track measurable results

• Build, mentor, and retain senior engineering talent; promote diversity, inclusion and accountability

• Implement scaled Agile delivery processes and maintain performance dashboards for velocity, reliability, and quality

• Govern technology budgets and resource allocation across projects and platforms

• Partner with Security, Compliance, and Legal to ensure all solutions meet regulatory standards such as HIPAA, GxP, and SOC 2

• Direct research and development for AI, data, and IoT initiatives; transition validated pilots into production platforms

• Serve as the primary technology liaison to executive stakeholders, communicating progress, risk, and ROI with clarity

• Converts business strategy into platform and data execution plans that scale

• Builds a resilient engineering organization that delivers reliable and compliant technology

• Ensures architectural coherence, measurable performance, and sustained innovation

• Serves as the executive partner guiding long-term platform growth and intelligent systems adoption

QUALIFICATIONS AND EDUCATION REQUIREMENTS:

• 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 (e.g., Senior Engineering Manager, Director- Engineering)

• Demonstrated success defining and delivering large-scale technology initiatives in a regulated environment (e.g., life sciences, logistics), with accountability for P&L or equivalent budget ownership.

• Proven track record building and scaling high-performing engineering organizations, recruiting senior talent, and developing leaders.

TECHNICAL EXPERTISE:

• 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

• Secure architecture and compliance frameworks ensuring continuous audit readiness

COMPENTENCIES:

• Owns platform, data, and AI strategy that drives operational and business performance

• Leads architectural vision and ensures scalable, secure, and compliant systems

• Develops engineering leaders and builds a strong management bench

• Promotes responsible AI and ethical data practices

• Aligns engineering, product, and data priorities for unified execution

• Communicates technology direction and investment outcomes to executive leadership

• Oversees budget, resource, and performance governance across multiple teams

• Drives innovation through platform modernization and applied research. Embeds security, privacy, and reliability into every layer of development