• Design, develop, and implement large-scale distributed systems to handle substantial data volumes, ensuring scalability, low latency, and fault tolerance • Implement APIs and event-driven solutions to meet system requirements and enhance functionality • Create and execute comprehensive unit tests, API tests, regression tests, and performance tests to ensure the reliability and efficiency of the system • Utilize modern frontend frameworks like React for web development • Optimize solutions for scalability, reliability, and high performance • Collaborate closely with cross-functional teams to promptly address and resolve production incidents, ensuring minimal downtime and swift recovery

• Lead the technical design and implementation of large-scale data processing and streaming applications. • Define architecture standards and best practices for distributed data platforms. • Design, develop, and optimize batch and real-time data pipelines using Apache Spark and Kafka technologies. • Build and maintain scalable APIs following OpenAPI specifications. • Perform system analysis, identify performance bottlenecks, and implement optimization strategies. • Collaborate with product owners, architects, data engineers, and business stakeholders to translate requirements into technical solutions. • Mentor and support development teams through code reviews, technical guidance, and knowledge sharing. • Ensure solutions are secure, scalable, maintainable, and aligned with enterprise standards. • Drive continuous improvement initiatives across development processes, architecture, and platform reliability. • Participate in technical decision-making and roadmap planning.

• Lead the technical design and implementation of large-scale data processing and streaming applications • Define architecture standards and best practices for distributed data platforms • Design, develop, and optimize batch and real-time data pipelines using Apache Spark and Kafka technologies • Build and maintain scalable APIs following OpenAPI specifications • Perform system analysis, identify performance bottlenecks, and implement optimization strategies • Collaborate with product owners, architects, data engineers, and business stakeholders to translate requirements into technical solutions • Mentor and support development teams through code reviews, technical guidance, and knowledge sharing • Ensure solutions are secure, scalable, maintainable, and aligned with enterprise standards • Drive continuous improvement initiatives across development processes, architecture, and platform reliability • Participate in technical decision-making and roadmap planning

• Define and execute the product vision and strategy for the mid-cycle and backend RCM portfolio • Lead the roadmap for coding, billing, payment posting, AR & denials, and analytics to deliver measurable improvements in efficiency, accuracy, and financial performance • Partner closely with engineering and data teams in India to drive delivery excellence and foster cross-geo collaboration • Develop and manage a team of high-performing product managers and analysts, promoting a culture of accountability and innovation • Translate customer and market needs into actionable requirements and ensure products deliver strong ROI • Drive initiatives that leverage AI, workflow automation, and advanced analytics to enhance revenue integrity and operational performance • Collaborate with internal stakeholders across operations, sales, and implementation to ensure seamless product adoption and client success • Monitor market trends and emerging technologies to maintain competitive differentiation in the RCM space