Sr. Staff Engineer, Dotnet, AWS, AI

We are seeking a seasoned Sr. Staff Engineer with deep healthcare domain expertise to drive the design and delivery of enterprise-scale interoperability solutions. This role requires a hands-on problem solver who can strategically dissect complex challenges, define scalable architectures, and lead teams through execution. The ideal candidate combines strong technical depth in .NET and cloud technologies and demonstrates the ability to influence teams with a strong sense of ownership and forward-looking mindset.

Job Responsibilities

• Lead architecture and design discussions across global teams, ensuring scalable, maintainable, and high-performance solutions
• Analyze complex technical and functional problems, break them down strategically, and drive end-to-end solutions
• Design and build enterprise-grade healthcare interoperability solutions, with a strong focus on both functional and non-functional requirements (performance, scalability, reliability, security)
• Learn and adapt to latest AI trends and initiatives
• Drive continuous improvements in system architecture, performance, and operational efficiency
• Act as a hands-on technical leader, contributing to development while guiding and influencing the team
• Lead initiatives around healthcare data interoperability aligned with standards (eg: HL7, FHIR, and CDA)
• Ensure compliance with regulatory requirements including USCDI and the 21st Century Cures Act
• Leverage observability and performance metrics to proactively improve system behavior and end-user experience
• Collaborate with Engineering, Product, Program, and cross-functional teams, including offshore teams, to drive integrated solutions
• Establish and reinforce engineering and QA best practices, driving process improvements across the team
• Provide technical leadership, mentorship, and coaching to engineers, fostering a high-performance and feedback-driven culture
• Demonstrate strong ownership and accountability while enabling team success through servant leadership
• Stay forward-looking by driving innovation and adoption of modern technologies and practices

Experience Required

• Bachelor's or Master's degree in Computer Science or a related field
• 10+ years of hands-on experience in building enterprise applications
• Proven experience in healthcare domain, particularly in interoperability solutions
• Strong experience in designing and implementing scalable, distributed systems
• Demonstrated ability to handle complex problem-solving and system design challenges
• Proven track record of delivering solutions addressing non-functional requirements such as performance, scalability, and reliability
• Experience working in cross-functional and globally distributed teams
• Prior experience in modernizing legacy systems (e.g., 32-bit to 64-bit transitions) is a plus

Knowledge, Skills & Abilities

• Strong technical expertise in C#, .NET, .NET Core, Web API, and RESTful services
• Hands on with AWS (ECS, EKS, Lambda, S3) and gateway patterns
• Exposure to AI assisted dev practices (a plus)
• Experience with large-scale, high-throughput API development.
• Familiarity with API authentication/authorization standards and best practices.
• Understanding of distributed systems, tracing, monitoring, and troubleshooting production issues.
• Experience with modern deployment strategies and trade-offs in production environments.
• Knowledge of Kong API Gateway (preferred).
• Familiarity with REST, GraphQL, CQRS, and event-driven development patterns.
• Experience with WCF, WPF and Deep understanding of XML, XPATH
• Strong proficiency in SQL Server and relational database design
• Exposure to interop standards like HL7 v2, FHIR, and CDA (C-CDA) standards
• Knowledge of IHE profiles and interoperability workflows is a plus
• Exposure to Kafka or event-driven architectures is a plus
• Strong analytical and problem-solving skills with ability to navigate ambiguity
• Excellent communication skills with ability to articulate complex technical concepts clearly
• Ability to influence, collaborate, and drive alignment across teams
• Strong sense of ownership, accountability, and commitment to quality
• Open to feedback and focused on continuous learning and improvement