Skills

Python Kubernetes AWS Django cloud platforms GCP

Job Specifications

We are looking for a Staff Engineer to join our growing Cloud Systems team at Argmax! In this role, you will design, implement and optimize systems that serve critical functions such as software licensing, large AI asset distribution, and performance telemetry and more. Although Argmax deploys AI workloads directly on user devices, these cloud systems serve as the backbone of Argmax SDK, our flagship product, and must be built to handle traffic from millions of devices worldwide with 99.9999% uptime. If the scale and reliability challenge excites you, read further!

Responsibilities

Prepare existing systems for 10x scale: You will review and proactively identify improvements to ensure our systems currently deployed on AWS are ready for 10x higher traffic within the next year.
Architect multi-cloud expansion: As part of our best-in-market reliability ambition, you will lead Argmax's expansion from AWS to GCP and potentially other CSPs as we embrace Kubernetes. The primary objective will be to retain >99.9999% reliability through redundancy while maintaining cost efficiency at scale, preserving our 95%+ gross margin.
Architect new systems as the product evolves: You will lead the design and implementation of new cloud systems to support the evolution of Argmax SDK. For example, Argmax SDK currently relies on a third-party AI asset distribution infrastructure and one of your first projects will be to pull this infrastructure in-house and optimize global CDN to ensure fast and robust delivery of assets worldwide.

Qualifications

3+ years of tech lead experience in building and maintaining cloud systems that served at least 10,000 users.
Fluency in Python (Django)
Fluency in Kubernetes

Preferred Qualifications

5+ years of tech lead experience in building and maintaining cloud systems that served at least 100,000 users.
Track record of significant open-source contributions

Perks

Top-of-market equity at a fast-growing early-stage startup with a unique mission
Performance-based equity refreshers twice a year
3 days a week in the office from Palo Alto, CA
Palo Alto office offers comprehensive on-site amenities, including chef-catered meals
Remote possible by exception for industry leader exceptional candidates
Platinum-tier healthcare with 90% employer contribution, including dependents
401(k) match
Quarterly in-person team-building weeks in Palo Alto, CA

About Argmax

AI applications are scaling in user adoption at unprecedented rates. The infrastructure is crumbling:

Spinner wheels are back in fashion
The most sensitive types of user data are uploaded to the cloud and occasionally leaked
Spiky demand leads to infrastructure capacity crunch and underutilization at the same time

Argmax is building the critical infrastructure required to bring real-time AI workloads to the edge:

Autoscaling instantly and infinitely
Private and compliant by design
Reliable beyond even the multi-cloud platforms

The hardest part: We are directly migrating cloud workloads to the edge, without compromising accuracy that our customers work so hard to achieve. This is a hard core technology problem and we built the mission-driven team with a long-term vision to make on-device the default way to build AI applications. Join us if this sounds like you and you have 3+ years to stake!