Senior Full-Stack Engineer - AI Agents for Pharma

Quinn; California (MO); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive compensation

Meaningful equity

Job summary

Quinn in California is seeking an Infrastructure Owner to oversee their enterprise production stack, ensuring reliability and compliance for customer deployments. The ideal candidate should have over 5 years of experience in production infrastructure and deep AWS knowledge.

This role focuses on owning the infrastructure that directly enables scientific decisions in the pharma industry. You'll be pivotal in defining technical direction, architecting next-gen solutions, and ensuring the infrastructure's optimal performance.

Competitive compensation and equity are offered.

Qualifications

• 5+ years of experience in production infrastructure management.
• Expertise in AWS, including compute, storage, networking, and identity.
• Experience with secure customer-facing deployments.

Responsibilities

• Own deployment and data isolation for customer environments.
• Ensure production reliability and resolve issues.
• Architect and ship next-gen infrastructure.

Skills

Production infrastructure ownership

Deep AWS expertise

Data isolation and compliance

Reliability in deployments

Self-verification bias

Tools

AWS

Python

TypeScript

Job description

About iollo

iollo was founded by Daniel Gomari (PhD Computational Biology, Stanford) and Prof. Mike Snyder (Stanford Genetics, 900+ publications) after watching pharma companies spend millions and months making R&D decisions that could be computed in days. We built Quinn to fix that. Quinn is an AI scientist that runs autonomous scientific workflows and delivers high-stakes R&D decisions to Fortune 500 pharma companies.

The role

Own the infrastructure Quinn runs on in production.

Quinn runs autonomous scientific workflows inside enterprise pharma environments. Each customer gets an isolated deployment with dedicated storage and compute. Runs are long-lived, concurrent, and compute-intensive. The engineering challenge: deploy securely into customer-controlled cloud infrastructure, keep data fully isolated across tenants, and keep production reliable for customers where infrastructure failures have real business consequences.

What you'll do

• Own deployment and data isolation for enterprise customer environments
• Ship observability and cost controls at scale
• Keep production running and be the person who answers when it isn't
• Build it, deploy it, prove it works

What you'll need

• 5+ years owning production infrastructure end-to-end
• Deep AWS experience across compute, storage, networking, and identity
• Built customer-facing deployments with real data isolation and compliance requirements
• Shipped in environments where reliability is non-negotiable
• A bias toward verifying your own work before anyone else touches it

You'll stand out if you

• Have deployed into customer-controlled cloud environments with SSO and dedicated storage
• Have worked with workflow orchestration and serverless compute at scale
• Use AI agents as core engineering tools, not novelties

Tech stack

AWS (compute, storage, identity, networking), Python, TypeScript, workflow orchestration, serverless compute. SOC 2/ISO 27001 compliant environments.

First 90 days

• First 30 days:Own the production stack. Ship multiple customer-facing releases. Stand up new isolated environments. Prove you can operate independently from day one.
• First 60 days:Architect and ship the next generation of deployment and observability infrastructure. Be the person who defines how new customers get deployed, not just the person who executes it.
• First 90 days:You're defining the infrastructure roadmap, not just executing it. The team defers to you on technical direction.

Why join us

• Your infrastructure directly enables scientific decisions that change how drugs get made in the world
• Shape systems that Fortune 500 pharma depends on
• Competitive compensation with meaningful equity

You'd be the person Quinn depends on to run. Enterprise pharma already trusts Quinn with their highest-stakes R&D decisions. You make sure the infrastructure never gives them a reason to stop. If you want to own that, let's talk.