vynca - Senior Software Engineer
Requirements
• Bachelor’s degree in Computer Science or related field (advanced degree preferred). • 5-7 years in software engineering. • Proficiency in Python and Java, with experience in modern frameworks (e.g., Flask/FastAPI, Spring Boot). • Mastery of event-driven architectures (Kafka, Kinesis), distributed systems, and cloud platforms (AWS, Kubernetes). • Strong background in building scalable, real-time data pipelines (Kafka, Flink, Airflow) and hybrid batch/stream systems. • Hands-on experience integrating and processing healthcare data standards: FHIR, CCDA, HL7 V2/V3, DICOM, etc. • Database design (SQL, NoSQL, DynamoDB) and data warehousing (Redshift, BigQuery, Snowflake). • Demonstrated success in optimizing performance (latency, error rates) and reducing infrastructure costs (AWS) • Exceptional communication, problem-solving, and collaboration skills; ability to navigate ambiguity and drive consensus. • Experience in healthcare technology or other regulated industries (Medicare/Medicaid, payor systems, EHR integrations). • Familiarity with real-time analytics, AI/ML integration, or genomic data pipelines • Track record of innovation in real-time reporting or streaming data products. • Working knowledge of healthcare security and compliance frameworks (HIPAA, HITRUST). • At this time we are only considering applicants in the following states: Arizona, California, Colorado, Florida, Georgia, Illinois, Nevada, North Carolina, Oregon, Texas, Utah and Washington.
Responsibilities
• Technical Leadership & Strategy • Architect, design, and lead the development of scalable, high-performance systems using event-driven architectures (e.g., Apache Kafka, Airflow, Flink) and distributed systems. • Champion best practices in system design, code quality, CI/CD pipelines, and observability (e.g., DataDog, Kibana).System Design & Execution • System Design & Execution • Own end-to-end delivery of mission-critical products, from concept to deployment, including: • Real-time data pipelines: design and implement event-streaming and ETL flows that process millions of records per second with low latency. • Batch & streaming hybrid architectures: leverage tools like Kafka Streams, Flink, and Spark Streaming. • Healthcare data integration: ingest, transform, and serve FHIR, CCDA, HL7 V2/V3, and other clinical document standards at scale. • Microservices & customer-facing applications: build resilient, API-driven services with robust versioning and backward compatibility. • Optimize system performance (e.g., API latency reduction, error-rate minimization) through distributed caching, code refactoring, and infrastructure improvements. • Design fault-tolerant, cloud-native solutions (AWS, Kubernetes) with a focus on resilience, cost efficiency, and scalability. • Lead migration/modernization efforts (e.g., legacy system rewrites, data lake/warehouse implementations) while ensuring seamless customer transitions. • Cross-functional Collaboration • Partner with product managers and stakeholders to translate business requirements into technical solutions, advocating for sustainable and innovative approaches. • Drive R&D initiatives to prototype and validate new technologies (e.g., AI/ML integration, real-time analytics). • Communicate complex technical concepts to non-technical audiences, ensuring alignment across teams. • Vaccination Requirement: Employees in patient, client, or customer-facing roles must be vaccinated against influenza. Requests for religious or medical accommodations will be considered but may not always be approved. • Employment Eligibility: Compliance with federal law requires identity and work eligibility verification using E-Verify upon hire.
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