Jobs in the United States

25+ jobs

Save this search

Added 9 mins ago
Sr. Engineer, Enterprise Patch & Vulnerability Management
Berkley
Wilmington, DE
AI-Based Vulnerability & Patch Analysis: Leverage AI-enabled tools, analytics, and automation to analyze vulnerability scan data, threat intelligence, and patch release information;…
Added 17 mins ago
Data Solutions Engineer
Holland & Knight LLP
United States
The Engineer works with technology, knowledge, business services, and practice teams to discover the firm’s key operational data, assess intelligence and analytics needs, develop and…
Added 17 mins ago
Data Warehouse Engineer
Hamilton Company
Reno, NV
Hamilton Company is seeking a motivated, hands-on builder to help develop the data pipelines, integrations, and business systems that connect information and support better business…
Added 1 hour ago
EG
Databricks Data Engineer
Eliassen Group
Little Rock, AR
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 1 hour ago
Forward Deployed Software Engineer-Palantir Foundry-Experienced Associate
PwC
Kansas City, MO · St. Louis, MO
As a Forward Deployed Software Engineer-Palantir Foundry-Experienced Associate, you will leverage advanced technologies and techniques to design and develop robust data solutions for…
Added 1 hour ago
EG
Databricks Data Engineer
Eliassen Group
Jefferson City, MO
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 2 hours ago
EG
Databricks Data Engineer
Eliassen Group
Washington, DC
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 2 hours ago
EG
Databricks Data Engineer
Eliassen Group
Frankfort, KY
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 3 hours ago
Senior Data Engineer (AWS & Databricks)
General Dynamics Information Technology
Fairfax, VA
GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Senior Data Engineer will leverage their expertise with AWS Cloud and the…
Added 3 hours ago
Senior Detection Engineer
Nightwing
Arlington, VA
The engineer translates threat intelligence, hunt findings, and incident response lessons into reliable behavioral analytics, investigative queries, and automation. This work moves the team…
Added 3 hours ago
EG
Databricks Data Engineer
Eliassen Group
Richmond, VA
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 5 hours ago
EG
Databricks Data Engineer
Eliassen Group
Hartford, CT
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 5 hours ago
EG
Databricks Data Engineer
Eliassen Group
Oklahoma City, OK
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 6 hours ago
EG
Databricks Data Engineer
Eliassen Group
Madison, WI
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 6 hours ago
GC
Senior Demand Planner - Mobility
Gates Co
Denver, CO
- $40,123 USD / year
Gates is a leading manufacturer of application-specific fluid power and power transmission solutions. We push the boundaries of material science to engineer solutions that continually…
Added 6 hours ago
EG
Databricks Data Engineer
Eliassen Group
Springfield, IL
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 6 hours ago
T
Data Scientist V
TEKsystems
Menlo Park, CA
- $80 to $90 USD / hour
You will work closely with a Senior data engineer to turn the measurement strategy into scalable data models, dashboards, and reporting. The ideal candidate has a product analytics…
Added 6 hours ago
Silicon Product Engineer – Manufacturing
Nvidia
Santa Clara, CA
We are hiring a Silicon Product Engineer – Manufacturing to join our Testability, Manufacturability, Reliability & Quality (TMRQ) team. In this role, you will help validate and implement…
Added 6 hours ago
AI Manager/Lead - Lead Data Engineer II
Deloitte
Sacramento, CA
Leading the design, development, testing, and deployment of artificial intelligence and machine learning solutions supporting health eligibility, benefits, and human services platforms
Added 6 hours ago
EG
Databricks Data Engineer
Eliassen Group
Sacramento, CA
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 7 hours ago
EG
Databricks Data Engineer
Eliassen Group
Dover, DE
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 7 hours ago
EG
Databricks Data Engineer
Eliassen Group
Salt Lake City, UT
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 7 hours ago
EG
Databricks Data Engineer
Eliassen Group
Albany, NY
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 8 hours ago
Data Engineer, WW Pricing - Data & Analytics
Amazon
Seattle, WA
You will be joining WW Pricing Data & Analytics team which consists of several Data Engineers and Business Intelligence Engineers.
Added 8 hours ago
EG
Databricks Data Engineer
Eliassen Group
Olympia, WA
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.

Cryoport Systems, LLC

Senior Software Engineer

Remote, United States

Apply About employer

Applications open in a new tab.

Job details

Experience: 2+ years of hands-on AI/ML engineering experience in production environments.
Posting language: English
Posted: Nov 3, 2026

Original job description

Cryoport Systems is a comprehensive supply chain partner for the life sciences industry, delivering specialized solutions to meet the challenges of the biopharmaceutical, cell and gene therapy, reproductive medicine, and animal health markets. Our offerings span logistics, BioServices and biostorage, cryopreservation, and consulting, ensuring the highest standards of quality and reliability for sensitive materials. With our expansive platform of management solutions and decades of temperature-controlled supply chain expertise, Cryoport Systems helps Enable the Outcome™ by supporting certainty and precision in the supply chain, whether advancing groundbreaking therapies, supporting families on their reproductive journeys, or enhancing animal health programs.

POSITION SUMMARY

As a Senior Software Engineer at Cryoport Systems, you will lead technical initiatives, optimize team delivery, and drive architectural decisions within one of our teams. You will collaborate closely with the technical leadership team to ensure deliverables align with the organization’s broader goals and support our clients’ needs, including the design and delivery of AI-powered capabilities. You will be responsible for building, evolving and supporting core value stream application components - including AI-powered features and intelligent systems - essential for our organization’s growth. Your leadership will ensure system success and foster technical excellence, allowing Cryoport Systems to deliver certainty and reliability across our business.

Key Responsibilities:

Technical Expertise

Design, develop, and maintain scalable, resilient, and maintainable software systems aligned with technical roadmaps, including AI-powered features such as LLM integrations, RAG pipelines, and agentic workflows.
Execute value stream initiatives in an agile environment, ensuring that features meet business and technical goals.
Apply engineering best practices in software architecture, code quality, testing, security, observability, and data management.
Establish engineering best practices around AI-driven development lifecycles, prompt management, AI evaluation frameworks, and observability for AI systems.

AI & Intelligent Systems Engineering

Design, build, and support production-grade AI-enabled applications and intelligent business capabilities.
Develop solutions that leverage modern AI technologies, machine learning services, retrieval systems, and foundation models where appropriate.
Evaluate emerging AI platforms, frameworks, and tools to determine their suitability, effectiveness, scalability, and business value.
Design and implement knowledge-driven and retrieval-based solutions that improve decision-making, automation, and user experiences.
Collaborate with data, product, and engineering teams to deliver AI-driven capabilities into production environments.
Contribute to enterprise-wide standardization of AI development practices, governance, observability, and operational excellence.
Ensure AI-enabled solutions align with organizational security, compliance, and responsible AI principles.

Systems Thinking and Innovation

Participate in technical discussions, architecture reviews, and roadmap planning.
Contributed to the technical vision and architecture for the stream.
Advocate for Domain-Driven Design (DDD) and loosely coupled architectures.
Review and assess new technologies, frameworks, and tools to enhance efficiency and scalability.

Stream Alignment

Collaborate with product managers and stakeholders to understand business goals and translate them into technical requirements, including AI-driven capabilities.
Contribute to technical documentation and knowledge sharing across teams.
Ensure the team’s work aligns with objectives laid out no technical roadmaps.

Team Leadership and Collaboration:

Mentor and support engineers across the organization, fostering a culture of learning, accountability, and technical excellence.
Encourage knowledge sharing and collaborative problem solving across teams.
Partner closely with product managers, designers, architects, data professionals, and engineering teams to align technical efforts with business objectives.
Provide technical guidance and leadership while empowering team members to grow their skills and capabilities.
Champion continuous learning and professional development within the engineering organization.

Tooling/Technologies:

Ruby, Python, JavaScript, TypeScript, Java, MySQL, Docker, Elasticsearch, GitHub, JIRA, AWS Ruby on Rails, Scala, Micronaut, React, Django, FastAPI LLM APIs (OpenAI, Anthropic), LangChain, LlamaIndex, vector databases, RAG pipelines

Required Qualifications:

B.S. in Computer Science or equivalent degree (required) / M.S. in Computer Science (preferred)
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 API’s.
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 Qualifications:

Advanced degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field.
Experience implementing AI-enabled applications in production environments.
Experience with cloud-native architectures, microservices, event-driven systems, and modern platform engineering practices.
Experience evaluating and adopting emerging technologies.
Experience supporting highly available, mission-critical business systems.
Knowledge of AI governance, observability, model evaluation, or responsible AI practices.
Experience leading technical initiatives, mentoring engineers, and influencing architectural direction.

Key Competencies:

Problem-Solving: Strong, detail-oriented analytical skills and a hands-on approach to troubleshooting and resolving technical challenges.
AI Fluency: Practical, hands-on judgment about where AI/LLM-based approaches add real value versus traditional engineering, with an eye toward reliability, cost, and responsible use.
Innovation: A forward-thinking mindset, constantly looking for ways to innovate and improve operations; passion for automating processes.
Strategic Vision: Ability to align stream initiatives with broader business objectives.
Collaboration: Excellent interpersonal skills and ability to collaborate across functional teams.

Apply About employer

More about this job

Skills

Supply chain management
Leadership
Data management
Machine learning
Decision making
Regulatory compliance
Systems thinking
Documentation
Team leadership
Problem solving
Ruby
Python
JavaScript
TypeScript
Oracle Java
MySQL
Docker
Elasticsearch
GitHub
Atlassian JIRA
AWS
Ruby on Rails
Scala
React
Django
LangChain
Computer science
ML
Microservices
Kubernetes
Data modelling
Artificial intelligence
Coaching
Analytical skills
Troubleshooting
Collaboration
Interpersonal skills

Report this job