Staff Software Engineer

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Logo of Cryoport Systems

Cryoport Systems

1001 - 5000 funcionários

🏥 Saúde

💼 Consultoria

🏭 Manufatura

Healthcare • Consulting • Manufacturing

A Cryoport Systems é uma parceira estratégica em soluções de gerenciamento de cadeia de suprimentos controlada por temperatura para as ciências da vida. A empresa oferece uma gama abrangente de serviços para proteger e gerenciar commodities de alto valor em toda a cadeia de suprimentos, especializando-se em terapias avançadas, como terapias celulares e gênicas, biológicos, medicina reprodutiva e saúde animal. A Cryoport Systems oferece serviços logísticos robustos que incluem criopreservação, biostorage, consultoria e embalagens personalizadas, garantindo conformidade regulatória e padrões de qualidade. Com seu alcance global, a empresa apoia ensaios clínicos e distribuição comercial de materiais críticos, aproveitando sistemas de envio patenteados e tecnologia de ponta para garantir o transporte seguro e eficaz de materiais sensíveis.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• Health insurance • Remote work options

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