Senior Backend Engineer - Infrastructure

Twin Health 

At Twin Health, we empower people to reverse, prevent and improve chronic metabolic diseases. Twin Health invented The Whole Body Digital Twin™ , a dynamic representation of each individual’s unique metabolism, built from thousands of data points collected daily via non-invasive sensors and self-reported preferences. The Whole Body Digital Twin delivers a new standard of care, empowering physicians and patients to make personalized data-driven decisions. 

Working here  

Our team is passionate, talented, and driven by our purpose to improve the health and happiness of our members. Our culture empowers each Twin to do what’s needed to create impact for our members, partners, and our company, and enjoy their experience at work. Twin Health was awarded Innovator of the Year by Employer Health Innovation Roundtable (EHIR) (out of 358 companies), named to the 2021 CB Insights Digital Health 150, and recognized by Built In's 2022 Best Places To Work Awards. Twin Health has the backing of leading venture capital funds including ICONIQ Growth, Sequoia, and Sofina, enabling us to scale services in the U.S. and globally and help solve the global chronic metabolic disease health crisis. We have recently announced broad and growing partnerships with premier employers, such as Blackstone and Berkshire Hathaway. We are building the company you always wished you worked for. Join us in revolutionizing healthcare and building the most impactful digital health company in the world!

Excited to join us and do your part in improving people’s health and happiness?

Opportunity 

Join an innovative team at the intersection of healthcare and advanced technology. As a Senior Backend Engineer in our Infrastructure group, you will play a key role in building the next-generation data store, data pipeline, and AI platform. Collaborating with data, AI, and product teams at Twin, you’ll help lay the foundation for data-driven AI products and scale our growing business.  

You’ll work alongside passionate software engineers, architects, and AI experts committed to pushing the boundaries of innovation and excellence. This is a unique opportunity to shape the future of AI-driven healthcare solutions while solving complex engineering challenges in a dynamic, fast-paced environment.

Responsibilities 

• Data Pipeline Development: Design, develop, and maintain scalable, reliable data pipelines to ingest, transform, and store structured/unstructured data, and export transformed data back to transactional stores.
• Data Transformation & Processing: Implement microservices and scheduled jobs for complex data transformations, deploy them to production, and manage infrastructure setup and monitoring.
• Core Platform Development: Contribute to our platform framework by building custom libraries and tools to enhance engineering efficiency and AI software development.
• Architecture & Execution: Drive architecture decisions, collaborate with team leads, and execute projects to deliver impactful outcomes.
• Cross-Functional Collaboration: Work with Data Platform, AI Platform, Infra, Analytics, and Product teams to define and execute data-driven strategies.
• Performance & Scalability: Monitor and optimize the performance, cost-efficiency, and scalability of data and platform infrastructure.
• Code Quality & Best Practices: Write clean, maintainable, and scalable code while adhering to software development best practices.
• Additional duties as assigned

Qualifications 

• Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience, with 3+ years of backend engineering experience, particularly in data-intensive applications.
• Strong experience with SQL and data modeling for analytical workloads.
• Proficiency in Python and/or Java for data processing and software development.
• Experience with event-driven architectures(Kafka, SQS, Snowflake Stream, AWS Lambda), and microservices.
• Proven experience in designing and building scalable data pipelines, and distributed systems.
• Experience collaborating with AI and analytics teams to integrate data-driven solutions into products.
• Ability to contribute to architecture decisions and technical discussions within engineering teams.
• Strong problem-solving skills, with the ability to troubleshoot data pipeline failures, performance bottlenecks, and support AI development.
• Strong communication and collaboration skills, with experience working cross-functionally across data, platform, infra, and product teams.

Preferred Qualifications

• Hands-on expertise with Snowflake or similar data warehouse technologies (BigQuery, Redshift, Databricks