Senior Software Engineer (Infra)

Reposted 17 Days Ago
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New York City, NY, USA
In-Office
210K-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
The Senior Software Engineer will design, build, and maintain scalable infrastructure for AI systems in a global, regulated environment, with a focus on reliability and compliance.
Summary Generated by Built In
About Amigo

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.


About this role

As 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 do
  • Design 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


What we're looking for
  • 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


Nice to have
  • 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

 

Benefits

Health & 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

Growth & Development
  • Annual learning budget for courses, books, or conferences

  • Conference attendance budget for professional development

  • Annual team offsite

  • Academic collaboration opportunities

  • Unlimited PTO

Our Core Values
  1. 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.

  2. 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.

  3. 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.

  4. 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.

Who Builds With Us
  • 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

Access Controls
Ci/Cd Pipelines
Cloud Platforms
Containerization
Database Administration
Encryption
Infrastructure As Code
Monitoring Tools
Orchestration Technologies
Am I A Good Fit?
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The Company
HQ: New York, New York
30 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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