• Lead the architectural design and technical roadmap for scalable, high-performance data processing pipelines capable of handling petabyte-scale telemetry data (logs, metrics, traces). • Drive the development and optimization of ML-driven data routing and transformation engines to reduce customer data volumes by 80%+ while architecting real-time analytics systems using advanced machine learning and LLMs. • Design cloud-native microservices and APIs that integrate seamlessly with major observability platforms (Splunk, Elastic, Datadog) while establishing robust monitoring, alerting, and observability solutions. • Lead cross-functional technical initiatives and decision-making forums, collaborating with Product, Data Science, and DevOps teams to translate strategic vision into technical solutions and company-wide standards. • Provide technical leadership and mentorship to senior and junior engineers, driving system performance and reliability optimization while establishing engineering best practices and culture.

• Develop, enhance, and maintain API endpoints and backend services. • Implement business workflows, validations, and integrations across internal systems and partner APIs. • Assist with FHIR API development and resource mapping under the guidance of senior engineers. • Help package approved services for AI consumption by creating well-structured service interfaces and applying MCP-related patterns. • Write unit tests, integration tests, and maintain clear developer documentation. • Participate in design discussions, troubleshooting, and production issue resolution.

• Build and maintain API endpoints, service enhancements, and bug fixes. • Support data transformation, validation, and integration tasks across backend services. • Assist with FHIR-related development, including payload handling, resource mappings, and testing. • Contribute to the development of reusable service interfaces that enable downstream AI and automation use cases. • Write unit tests, documentation, and operational runbooks as needed. • Collaborate closely with senior engineers to learn platform patterns, coding standards, and domain-specific requirements.

• Design, build, and maintain core APIs and backend services that drive platform workflows and facilitate external integrations. • Develop and support FHIR-based integrations, including resource transformation, validation, and workflow orchestration. • Implement business logic, service-layer rules, and integration patterns for internal and partner-facing APIs. • Assist in exposing select services through MCP-compatible wrappers to enable AI and automation use cases. • Collaborate closely with the Tech Lead on architecture, design decisions, performance optimization, and production support. • Write clean, maintainable code, automated tests, and comprehensive technical documentation.