Senior Software Engineer, Contingent

🕒 June 18

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 63%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Cryoport Systems

WebsiteLinkedInAll Job Openings

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

• Design, develop, and maintain scalable, resilient, and maintainable software systems aligned with technical roadmaps, including LLM integrations, RAG pipelines, and agentic workflows • Execute value stream initiatives in an agile environment and ensure features meet business and technical goals • Apply best practices in software architecture, code quality, testing, security, observability, and data management • Establish best practices for AI-driven development lifecycles, prompt management, AI evaluation frameworks, and AI-system observability • Design, build, and support production-grade AI-enabled applications and intelligent business capabilities • Develop solutions using modern AI technologies, machine learning services, retrieval systems, and foundation models • Evaluate emerging AI platforms, frameworks, and tools for suitability, effectiveness, scalability, and business value • Design and implement knowledge-driven and retrieval-based solutions to improve decision-making, automation, and user experiences • Collaborate with data, product, and engineering teams to deliver AI-driven capabilities into production • Contribute to enterprise-wide standardization of AI development practices, governance, observability, and operational excellence • Ensure AI-enabled solutions align with security, compliance, and responsible AI principles • Participate in technical discussions, architecture reviews, and roadmap planning • Contribute to the technical vision and architecture for the stream • Advocate for Domain-Driven Design and loosely coupled architectures • Review and assess technologies, frameworks, and tools to improve efficiency and scalability • Collaborate with product managers and stakeholders to translate business goals into technical requirements • Contribute to technical documentation and knowledge sharing • Ensure team work aligns with technical roadmaps • Mentor and support engineers across the organization • Encourage knowledge sharing and collaborative problem solving • Partner with product managers, designers, architects, data professionals, and engineering teams • Provide technical guidance and leadership while supporting team member growth • Champion continuous learning and professional development

🎯 Requirements

• B.S. in Computer Science or equivalent degree (required) • 8+ years architecting, implementing, and maintaining 100,000+ lines of code multi-tier distributed web applications using Python, JavaScript (React, Node), Ruby (Ruby on Rails), J2EE, and other web technologies • 5+ years architecting, implementing, and maintaining JSON APIs • 2+ years of hands-on AI/ML engineering experience in production environments • Extensive knowledge of microservices, APIs, event-driven architectures, containerization (Docker, Kubernetes), and data modeling • Experience incorporating AI-enabled capabilities, intelligent automation, analytics, or machine learning solutions into business applications • Experience with model evaluation, prompt engineering, and AI observability tooling • Preferred: advanced degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field • Preferred: experience implementing AI-enabled applications in production environments • Preferred: experience with cloud-native architectures, microservices, event-driven systems, and modern platform engineering practices • Preferred: experience evaluating and adopting emerging technologies • Preferred: experience supporting highly available, mission-critical business systems • Preferred: knowledge of AI governance, observability, model evaluation, or responsible AI practices • Preferred: experience leading technical initiatives, mentoring engineers, and influencing architectural direction • Strong, detail-oriented analytical and troubleshooting skills • Practical, hands-on judgment regarding AI/LLM-based approaches, reliability, cost, and responsible use • Ability to align initiatives with broader business objectives • Excellent interpersonal and cross-functional collaboration skills

🏖️ Benefits

• No benefits, perks, or compensation extras are specified in the posting

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