Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journey: pre-visit intake, care navigation, post-visit care plans, patient monitoring, and more.
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 backed by Tier 1 investors like General Catalyst, GSV Ventures, SVA, and CohoVC. Our work is validated with leading academic medical institutions. Our agents have reached 3M+ patient encounters 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
BenefitsHealth & Wellness
Comprehensive health, dental, and vision insurance
Daily catered lunch and dinner
Mental health support and wellness coaching
Flexible wellness stipend for fitness, therapy, or personal growth
Annual learning budget for courses, books, or conferences
Conference attendance budget for professional development
Annual team offsite
Academic collaboration opportunities
Unlimited PTO
Patients Win, We Win
If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it.
High Standards, High Care
We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas—not despite our standards, but because of them.
Thoughtful Urgency
We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both.
Intensely Measured
We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it.
Low ego: Politics and territory don't interest you. The best ideas win, regardless of who has them.
Direct: You say the hard thing, challenge ideas openly, and commit fully once decided.
High agency: You thrive on trust rather than instruction. When you see something is broken, you fix it. You don’t file tickets and wait for someone else.
Bar of excellence: You hold yourself to a bar most people wouldn't, and you want teammates who do the same.
Skeptical: You push back on rules that don’t make sense and question assumptions that haven’t earned their place.
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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