Principal Platform/Software Engineer

NASCO is hiring a Principal Platform/Software Engineer to lead the strategic design, development, and maintenance of software systems for its healthcare SaaS platform. The role provides hands-on technical leadership across AWS infrastructure, Agentic AI systems, large-scale engineering initiatives, and cross-functional teams.

Responsibilities:

• Leads the design and development of software applications and systems, ensuring architecture and product approvals are obtained and functional and non-functional requirements are addressed
• Leads technical execution for autonomous AI agent integrations, LLM workflows, and multi-agent systems using frameworks such as LangChain, AutoGen, or CrewAI
• Builds and champions production-grade CI/CD pipelines, infrastructure automation, and infrastructure-as-code practices using tools such as Terraform or CloudFormation on AWS
• Mentors senior engineers, conducts comprehensive code reviews, upholds code quality standards, guides technical team execution, and resolves complex architectural bottlenecks
• Develops and implements high-quality, scalable, secure, and performant code using approved architectural patterns, coding standards, and enterprise engineering practices
• Resolves complex technical issues through advanced troubleshooting, diagnosis, debugging, dependency analysis, and cross-team collaboration
• Collaborates with executive leadership and cross-functional stakeholders to define project scope, requirements, priorities, and timelines
• Ensures software solutions comply with applicable healthcare industry standards, security expectations, regulatory requirements, and internal governance practices
• Works as part of an Agile team, participates in Agile ceremonies, remains accountable for sprint deliverables, and supports disciplined SDLC execution
• Drives continuous improvement, innovation, emerging technology adoption, regular upskilling, and knowledge sharing across the engineering organization
• Participates in talent acquisition and performance management activities, including interviewing, candidate evaluation, goal setting, associate development, performance feedback, and review input
• Provides technical direction across teams, influencing engineering standards, platform strategy, and architectural decisions without direct people-management authority

Requirements:

• Expert knowledge of cloud and DevOps engineering, including deep AWS expertise, infrastructure automation, CI/CD, and infrastructure-as-code practices
• Proven ability to deploy Agentic AI models, autonomous AI agent integrations, LLM workflows, or multi-agent systems into production environments
• Extensive experience with software engineering methodologies, Agile delivery practices, SDLC governance, and modern engineering best practices
• Advanced full-stack development proficiency across user interface, middle tier, backend, APIs, integrations, and related technologies
• Strong knowledge of modern software architecture, design patterns, scalability, resiliency, security, performance optimization, and non-functional requirements
• Advanced knowledge of infrastructure technologies, including networking, compute platforms, storage, databases, middleware, systems management, and security practices
• Demonstrated ability to lead large-scale technical initiatives, estimate complex work, manage milestones, and guide technical teams through successful delivery
• Strong leadership, mentoring, coaching, communication, and strategic planning skills, including the ability to influence senior engineers and cross-functional stakeholders
• Exceptional problem-solving, analytical thinking, troubleshooting, debugging, and attention to detail in complex distributed systems environments
• Ability to embrace emergent solutioning, iterative delivery, innovation, continuous improvement, and evolving technology trends, including AI-enabled engineering practices
• Demonstrated responsiveness to internal and external customers, with the ability to balance technical excellence, business priorities, and stakeholder needs
• Knowledge of mainframe and/or mid-tier applications programming (COBOL, ALC, DB2) and file utilities
• 8 years of experience in software engineering
• 2 years of leadership experience, including leading teams and projects
• Experience working with a complicated matrix of stakeholders
• Proven track record of deploying Agentic AI models into production environments
• Experience working with Public Clouds (AWS, GCP, or Azure)
• Bachelor's degree in Computer Science, Software Engineering, or a related field or equivalent work experience
• Must have legal authority to work in the US
• Master's degree in a related technical field