Staff Software Engineer (Data)

Posted 25 Days Ago
Be an Early Applicant
San Francisco, CA
In-Office
220K-300K Annually
Senior level
Artificial Intelligence • Enterprise Web • Healthtech • Software
Building healthcare AI systems organizations stake their reputations on—trust & safety infrastructure for clinical agent
The Role
As a Staff Software Engineer (Data), you'll design and build data infrastructure for healthcare, including data pipelines, storage solutions, and compliance systems.
Summary Generated by Built In
About Amigo

Amigo builds trust and safety infrastructure for AI in mission-critical environments.

We partner with organizations in healthcare and other regulated sectors to deploy AI systems that operate reliably when the stakes are highest. Our infrastructure enables verification, monitoring, and real-time oversight—ensuring AI serves people safely at scale.

We've raised $6.5M from General Catalyst and GSV Ventures. Our team combines expertise in distributed systems, quantitative research, clinical operations, and regulatory environments to build AI that organizations can trust.

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

Top Skills

Cloud Data Platforms
Data Modeling
Data Processing Frameworks
Etl Pipelines
NoSQL
SQL
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The Company
HQ: New York, New York
15 Employees
Year Founded: 2024

What We Do

Amigo AI builds trust and safety infrastructure for clinical agents—ensuring AI systems in healthcare provide quantified confidence when mistakes aren't an option. Our platform combines advanced simulation, verification, and recursive optimization to enable healthcare organizations to deploy AI with statistical guarantees about its behavior.

We solve the fundamental challenge of reliable AI in critical domains through deterministic verification for clinical protocols and continuous drift detection for real-world performance. Our systems provide complete transparency—every AI decision is traceable and auditable, with quantified confidence intervals rather than black box predictions.

Founded by technologists from Google, Meta AI, Databricks, Coda, and Plaid, we've built systems that let organizations make informed risk decisions about AI deployment in healthcare. Our interdisciplinary approach draws from computer science, economics, physics, and mathematics to tackle human-centric optimization problems where people and populations are at the center of every solution.

We're actively working with healthcare organizations across digital health, cancer care, cardiac care, and personalized medicine to deploy AI systems that continuously learn and adapt from real-world feedback while maintaining verified safety boundaries. Our technology amplifies human expertise rather than replacing it, empowering domain experts to achieve outcomes neither could accomplish alone.

Why Work With Us

We build AI healthcare systems where 99% isn't good enough. Rapid growth—promotions in 3 months. Freedom to work your way: art museums or late nights. Tackle recursive optimization problems that ship to production. Your work directly impacts critical healthcare decisions. Diverse team from Google, Meta AI, Databricks solving problems that matter.

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