Amigo builds AI agents that deliver healthcare autonomously—AI doctors, AI nurses, and AI care coordinators. Our agents handle clinical workflows and patient engagement across the entire patient journey: pre-visit intake, triage, care navigation, post-visit care plans, side effect management, and medication adherence. Context-aware with memory across sessions and the ability to take clinical action.
We own outcomes, not just delivery. For our customers, we're responsible for agent performance: clinical safety, continuous improvement, measurable patient outcomes. Agents operate autonomously within bounded clinical domains, with clear scope and handoff protocols. That scope expands as we validate performance across populations.
We're fresh off our Series A from Tier 1 investors like General Catalyst, GSV Ventures, SVA, and CohoVC. Our work is validated with leading academic medical institutions. We're currently reaching 1M+ patient interactions every 90 days, and are on track to 10x this year.
As a Staff Software Engineer (Infra) at Amigo, you'll own the technical direction of the infrastructure that powers our platform at global scale. You'll architect multi-region systems handling millions of conversations while maintaining the compliance posture required for healthcare.
You'll drive architecture decisions for Kubernetes deployments, Databricks platform, voice/telephony systems, and security infrastructure. You'll mentor engineers, shape technical culture, and ensure we maintain elite engineering standards as the team grows. Reliability and security are non-negotiable—the platform must scale without compromising safety.
Own technical architecture for infrastructure across cloud platforms, Kubernetes, Databricks, and supporting systems
Drive engineering standards for reliability, security, observability, and incident response
Architect multi-region deployment strategies with zero-downtime updates for critical systems
Design the compliance & security infrastructure for healthcare (HIPAA, SOC 2) and support future regulatory requirements
Own disaster recovery architecture and backup systems meeting healthcare compliance requirements
Make build vs. buy decisions for infrastructure tooling and evaluate technical tradeoffs
Design auto-scaling systems that handle traffic spikes while maintaining cost efficiency
Own infrastructure as code of our infrastructure, ensuring clearly documented and identical deployments across regions
Mentor engineers and establish patterns that raise the bar for the infrastructure team
Collaborate with backend, platform, and security teams to ensure system-wide coherence
Define reliability targets (SLOs/SLIs) and drive operational excellence across the platform
7+ years of production infrastructure experience, with significant time at elite engineering organizations
Expert-level experience with Kubernetes and container orchestration at scale
Proven track record designing infrastructure that scales across multiple regions
Deep experience with cloud platforms (AWS, GCP, or Azure)
Strong understanding of infrastructure-level networking and security configurations
History of establishing engineering standards and mentoring engineers
Extremely high standards for reliability, security, and operational excellence
Both execution-oriented and defensive-minded: you ship infrastructure while anticipating failure modes
Deep knowledge of infrastructure as code tools (Terraform, Pulumi, or similar)
Experience with compliance requirements and data residency controls in regulated industries
Excellent written and verbal communication across engineering and executive stakeholders
Experience with healthcare infrastructure or HIPAA compliance at scale
Background with voice/telephony systems or real-time communication infrastructure
Experience with Databricks platform administration and optimization
Track record building and scaling infrastructure teams
Knowledge of specific regulatory frameworks (HIPAA, SOC 2, GDPR)
Experience 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.
