Staff Software Engineer

🕒 July 23

🏄 California – Remote

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⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 21%

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Logo of Cryoport Systems

Cryoport Systems

1001 - 5000 employees

🏥 Healthcare

💼 Consulting

🏭 Manufacturing

Healthcare • Consulting • Manufacturing

Cryoport Systems is a strategic partner in temperature-controlled supply chain management solutions for the life sciences. The company offers a comprehensive range of services to protect and manage high-value commodities across the supply chain, specializing in advanced therapies such as cell and gene therapies, biologics, reproductive medicine, and animal health. Cryoport Systems provides robust logistics services that include cryopreservation, biostorage, consulting, and custom packaging, ensuring regulatory compliance and quality standards. With its global reach, the company supports clinical trials and commercial distribution for critical materials, leveraging patented shipping systems and cutting-edge technology to ensure safe and effective transportation of sensitive materials.

📋 Description

• 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. • 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. • Collaborate with product managers and stakeholders to understand business goals and translate them into technical requirements, including AI-driven capabilities. • Mentor senior and mid-level engineers, fostering a culture of learning, technical ownership, and responsible AI development.

🎯 Requirements

• B.S. in Computer Science or equivalent degree (required) / M.S. in Computer Science (preferred) • 10+ years architecting, implementing, and maintaining 100,000+ lines of code multi-tier distributed web applications using Ruby (Ruby on Rails), J2EE, JavaScript (React, Node), Python, and other web technologies. • 6+ years architecting, implementing, and maintaining JSON API’s. • Extensive knowledge of microservices, APIs, event-driven architectures, containerization (Docker, Kubernetes), and data modeling. • 2+ years of hands-on AI/ML engineering experience in production environments. • Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and frameworks such as LangChain, LlamaIndex, or equivalent. • Experience with vector databases (Pinecone, Weaviate, pgvector) and semantic search architectures. • Familiarity with ML serving infrastructure and cloud-based AI deployment patterns. • Experience with model evaluation, prompt engineering, and AI observability tooling. • Knowledge of fine-tuning techniques (LoRA, RLHF) or MLOps tooling (MLflow, Weights & Biases) is a plus.

🏖️ Benefits

• Health insurance • Remote work options

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