About Amigo

We build AI that puts people first. Instead of just making organizations more efficient, we ensure AI systems actually help humans thrive.

We focus on healthcare because getting things right matters most in this field. Our technology provides organizations with confidence that their AI is functioning correctly before deployment. We use advanced testing and verification to make sure these systems are reliable enough for critical decisions.

We operate globally and follow strict regulations. We've raised $6.5M from investors, including General Catalyst and GSV Ventures. Our team comes from diverse backgrounds—tech, psychology, economics, healthcare, and policy—all working together to create AI that organizations can trust and that genuinely benefits people.

About this role

As a Staff Software Engineer (Data) at Amigo, you'll architect and build the data infrastructure that powers our platform. You'll design systems that process, analyze, and serve healthcare data at massive scale while maintaining the highest standards of privacy, security, and compliance. Your work will enable our systems to make informed decisions based on real-time healthcare data.

What you'll do

• Architect data processing pipelines handling millions of healthcare records with strict privacy controls

• Design and implement real-time data streaming systems for low-latency inference

• Build robust ETL pipelines that transform healthcare data from multiple sources

• Implement data quality monitoring and validation systems for healthcare compliance

• Design scalable data storage solutions optimized for both analytical and operational workloads

• Build data lineage and governance systems, ensuring full auditability

• Implement privacy-preserving data processing techniques for sensitive healthcare information

• Create data APIs and services enabling seamless access to healthcare data across the platform

• Design backup and disaster recovery systems meeting healthcare regulatory requirements

• Build analytics platforms enabling insights into AI agent performance and healthcare outcomes

What we're looking for

• 7+ years of experience building large-scale data systems

• Deep expertise with data processing and streaming frameworks

• Strong experience with both SQL and NoSQL databases

• Experience with cloud data platforms and services

• Knowledge of data modeling, warehousing, and lake architectures

• Understanding of data privacy and security in regulated industries

• Experience with real-time streaming and batch processing systems

• Strong programming skills in data processing languages

• Knowledge of data quality and governance frameworks

• Experience with distributed systems and service architectures

Nice to have

• Experience with healthcare data standards (HL7, FHIR)

• Knowledge of HIPAA compliance and healthcare data privacy

• Background with real-time data processing and distributed analytics systems

• Experience with graph databases and knowledge graphs

Benefits

Health & Wellness

• Comprehensive health, dental, and vision insurance

• Mental health support and wellness coaching

• Flexible wellness stipend for fitness, therapy, or personal growth

• Daily catered lunch and dinner

Growth & Development

• Annual learning budget for courses, books, or conferences

• Conference attendance budget for professional development

• Development setup of your choice

• Academic collaboration opportunities