Senior Software Engineer – Remote Healthcare Data & Systems

Vynca

United States

Hybrid

USD 150,000 - 190,000

Full time

6 days ago

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Job summary

Vynca is seeking a Senior Software Engineer to lead the development of healthcare technology, providing technical leadership across key projects, mentoring engineers, and ensuring high standards. This fully remote role aligns with Pacific Coast business hours (PST) and requires collaboration with cross-functional teams to deliver scalable, secure data pipelines and microservices in AWS/Kubernetes.

You will work with modern stacks (Python/Java, Kafka, Airflow) and healthcare data standards (FHIR,

Qualifications

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 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 and reducing infrastructure costs (AWS).
Exceptional communication, problem-solving, and collaboration skills; navigate ambiguity and drive consensus.

Responsibilities

Architect and lead scalable, high-performance systems.
Champion best practices in system design, code quality, CI/CD pipelines, and observability.
Own end-to-end delivery of mission-critical products from concept to deployment.
Design real-time data pipelines handling millions of records per second with low latency.
Leverage batch/stream architectures with Kafka Streams, Flink, Spark Streaming.
Integrate healthcare data standards at scale (FHIR, CCDA, HL7).
Build API-driven microservices with robust versioning and backward compatibility.
Improve performance and reduce latency and error rates.
Design cloud-native solutions (AWS, Kubernetes) with resilience and cost efficiency.
Lead modernization efforts while ensuring seamless customer transitions.
Collaborate with product managers to translate requirements into technical solutions.
Drive R&D initiatives for AI/ML integration and real-time analytics.
Communicate complex concepts to non-technical audiences.