Top Healthtech Software Engineer Jobs

Manage the Data Platform Team, focusing on high-throughput data infrastructure and AI-native development. Oversee data processing systems, mentor engineers, and align team goals with business objectives.

The Software Engineer will enhance developer experience at Benchling by building production release tooling, improve workflows, and collaborate with teams to scale processes. Responsibilities include developing efficient development tools and championing engineering patterns.

The role involves developing backend services and data integrations for improving care workflows in senior living, requiring collaboration with product and data teams.

The Data Engineering Manager will oversee data engineers, develop data pipelines and ETL processes, and collaborate with cross-functional teams to enhance data architecture and strategy.

Build full-stack features for a web-based broker platform serving Medicare customers. Work across frontend and backend, influence architecture, reduce technical debt, collaborate with product and design, use AI-powered developer tools, and mentor engineering best practices to scale the platform.

Build and architect the companys first native mobile app using React Native, make key architectural decisions, implement native integrations (HealthKit, push, video), collaborate across web and backend teams, and own quality, analytics, and product tradeoffs to deliver a production-grade healthcare consumer app.

The Senior Data Platform Engineer will manage and develop the data infrastructure on Databricks and AWS, ensuring scalable and efficient data capabilities while collaborating across teams.

As a Senior Staff Software Engineer, you will enhance our platform and mentor junior engineers while ensuring robust, user-centric software development.

The Director of Applications will oversee the organization's application portfolio, develop enterprise application strategies, manage integration projects, and collaborate with IT leadership to align systems with business goals.

The role involves developing the query processing stack, optimizing for analytics and AI workloads, designing data processing abstractions, and mentoring engineers.