Amigo builds AI agents for healthcare. For managed service customers, we are responsible for maintaining and uplifting agent performance, ensuring clinical safety and continuous improvement of patient outcomes.
Our agents operate autonomously within bounded clinical domains. Clear inclusions, exclusions, and handoff protocols. The scope of autonomous operation expands over time as we validate performance across patient populations.
Infrastructure owns the foundation: multi-region Kubernetes deployments, Databricks platform, voice/telephony systems, and the compliance posture required for healthcare (HIPAA, SOC 2). The work includes reliability engineering, security, and ensuring the platform scales without compromising safety.
Series A from leading investors. Clinical validation and evidence generation in partnership with leading academic medical institutions.
About this roleAs a Senior Software Engineer (Infra) at Amigo, you'll build the foundational infrastructure that powers our platform at global scale. You'll design and implement core systems that handle millions of conversations across multiple regions while meeting diverse regulatory requirements. This role combines deep technical expertise in distributed systems with practical experience building production infrastructure that operates reliably across healthcare, finance, and other regulated industries.
What you'll doDesign and build scalable infrastructure supporting millions of conversations across multiple regions
Implement multi-region deployment pipelines with zero-downtime updates for critical systems
Build monitoring and alerting systems that provide visibility across global infrastructure and the entire platform stack
Design disaster recovery and backup systems meeting diverse regulatory compliance requirements
Implement security infrastructure to meet stringent compliance standards
Build auto-scaling systems that handle traffic spikes while maintaining cost efficiency globally
Maintain infrastructure as code of our infra, ensuring clearly documented and identical deployments across regions
Implement data residency and sovereignty controls for regulated industries
Perform cost optimizations that balance performance with regulatory requirements
4+ years of production infrastructure experience at scale
Strong experience with cloud platforms and multi-region deployments
Deep knowledge of containerization and orchestration technologies
Strong experience with infrastructure as code tools like Terraform
Experience with CI/CD pipelines and deployment automation
Deep knowledge of end-to-end monitoring and observability tools
Experience with database administration and backup/recovery procedures, preferably with a NoSQL database
Understanding of security best practices and regulatory compliance requirements in regulated industries
Strong debugging skills for complex infrastructure issues
Experience in healthcare, finance, or other heavily regulated industries, with knowledge of specific regulatory frameworks (HIPAA, GDPR, SOX, etc.)
Experience with high-performance computing and distributed systems at scale
Background with high-availability, mission-critical systems
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
Annual learning budget for courses, books, or conferences
Conference attendance budget for professional development
Development setup of your choice
Academic collaboration opportunities
Top Skills
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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