Senior Software Engineer
Listed on 2026-09-09
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Software Development
Cloud Engineer - Software, Backend Developer, Software Architect, Software Engineer
Join the dynamic journey at Vynca, where we're passionate about transforming care for individuals with complex needs.
We’re more than just a team; we're a close-knit community. Our shared commitment to caring for each other and those we serve is what sets us apart. Guided by our unwavering core values:
Excellence, Compassion, Curiosity, and Integrity, we forge paths of success together. Join us in this transformative movement where you can contribute to making a profound difference every day.
At Vynca, our mission is to provide comprehensive care for more quality days at home.
About the jobWe are looking for a Senior Software Engineer to lead the development of innovative, scalable, and secure healthcare technology solutions. In this role, you will provide technical leadership across key projects, work with cross-functional teams to deliver impactful products, and mentor engineers to ensure the highest technical standards are met. You will play a key role in advancing our mission to improve patient care and outcomes through technology.
This is a hybrid position based in San Mateo, CA, with an expectation of working from the office 2–3 days per week.
What you’ll do 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., Data Dog, Kibana). 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.
- 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.
- 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, No
SQL, DynamoDB) and data warehousing (Redshift, Big Query, 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…
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