Note: The job is a remote job and is open to candidates in USA. Cryoport Systems is a comprehensive supply chain partner for the life sciences industry, delivering specialized solutions to meet the challenges of various markets. The Senior Software Engineer will lead technical initiatives, optimize team delivery, and drive architectural decisions, ensuring that core value stream application components are built and supported for organizational growth.

Responsibilities

• Implement scalable, resilient, and maintainable software systems aligned with technical roadmaps
• Execute value stream initiatives in an agile environment, ensuring that features meet business and technical goals
• Apply and ensure best practices in software development, including modularization, code quality, testing, security, and data modeling
• 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
• Collaborate with product managers and stakeholders to understand business goals and translate them into technical requirements
• Contribute to technical documentation and knowledge sharing across teams
• Ensure the team’s work aligns with objectives laid out no technical roadmaps
• Support mid-level engineers, fostering a culture of learning and technical ownership
• Work closely with product managers, designers, and engineering teams to align technical efforts with business goals

Skills

• 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 Ruby (Ruby on Rails), J2EE, JavaScript (React, Node), Python, and other web technologies
• 5+ years architecting, implementing, and maintaining JSON API's
• Extensive knowledge of microservices, APIs, event-driven architecture, containerization (Docker, Kubernetes), and data modeling
• M.S. in Computer Science (preferred)

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