Staff Software Engineer

Cryoport Systems

Staff Software Engineer leading technical initiatives and designing AI capabilities at Cryoport Systems. Collaborating closely with teams to deliver high-quality software solutions.

Posted 7/23/2026full-timeRemote • California • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and implementing scalable software systems, with a strong focus on AI/ML integration and best practices in software development. Proven ability to mentor engineers and collaborate with stakeholders to align technical solutions with business objectives.

Highest-signal resume keywords

Architecting Multi-Tier Distributed Web ApplicationsAI/ML Engineering ExperienceMicroservices and API DevelopmentDomain-Driven Design (DDD)Containerization (Docker, Kubernetes)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Ruby (Ruby on Rails)J2EEJavaScript (React, Node)PythonJSON API DevelopmentData ModelingEvent-Driven ArchitecturesModel EvaluationPrompt EngineeringFine-Tuning Techniques (LoRA, RLHF)

Soft Skills

MentoringCollaborationTechnical OwnershipCommunication

Tools & Technologies

LLM APIs (OpenAI, Anthropic)LangChainLlamaIndexVector Databases (Pinecone, Weaviate, pgvector)MLflowWeights & Biases

Certifications & Qualifications

B.S. in Computer ScienceM.S. in Computer Science (Preferred)

Industry Keywords

Agile EnvironmentAI-Driven CapabilitiesSemantic Search ArchitecturesML Serving InfrastructureCloud-Based AI Deployment Patterns

Tech Stack

Tools & technologies

CloudDockerJ2EEJavaScriptKubernetesMicroservicesNode.jsPythonReactRubyRuby on Rails

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Health insurance
Remote work options