Senior Infrastructure Engineer

About Foundry

At Foundry we are on a mission to orchestrate the world’s compute capacity, rendering it universally accessible and useful. To do so, we are building a new breed of public cloud, backed by an orchestration platform that makes accessing AI compute as easy as turning on the light. We spun out of a PhD lab at Stanford about a year ago, and are backed by Sequoia, Lightspeed, Jeff Dean, Eric Schmidt, and many other incredible angels and advisors. We raised $80M to date, have customers, and revenue. 

Cloud computing is supposed to abstract away the hardware layer but ML infra is more complex than ever. Engineers should spend less time focusing on which chip they should use and more time on solving hard problems. Our orchestration platform makes using compute resources as easy as flipping a light switch. For more information, see below. 

Working at Foundry

We are not looking to change an industry—we are looking to revolutionize it. We don’t just dream big—we have the audacity to dream massively. We are not reaching for the stars to land on the moon—we are reaching for Mars, or even another galaxy. We make the impossible possible.

We focus on energy and clarity. We are team players, daring truth seekers, with no ego. We are growing quickly but maintain a flat structure by having an ownership mentality. We believe in asking the right questions in order to solve hard problems.

Joining Foundry

Foundry is looking for a skilled Infrastructure Engineer to join our team. In this role, you will collaborate closely with our development team to architect, build, and deploy cutting-edge infrastructure solutions. You will have the opportunity to learn from experienced industry professionals and gain hands-on experience in a dynamic startup setting.

This position offers a valuable chance for an Infrastructure Engineer to expand their expertise in a fast-paced and innovative environment. You will be involved in exciting projects and play a key role in shaping early infrastructure designs and implementations. If you are passionate about infrastructure engineering and eager to enhance your skills, we invite you to apply and be part of our team.

Responsibilities

• Demonstrate a strong interest and passion for development platforms, MLOps, CI/CD, infrastructure, or creating products for technical teams.
• Make well-informed trade-offs that consider both engineering and product requirements, while effectively balancing short-term needs with long-term goals.
• Utilize your 6+ years of relevant industry experience in a fast-paced, high-growth tech environment to build and scale internal platforms using technologies such as Python, Typescript, Postgres, Kubernetes, Terraform, and a variety of AWS products.
• Apply your expertise in system, API, and infrastructure design, leveraging cloud concepts such as storage volumes, private networks, container scheduling, and Kubernetes to drive effective solutions.
• Develop and maintain integrations with platform entities like storage providers, datasets, models, and metrics.
• Manage the product feature lifecycle, from planning and development to launch and ongoing maintenance.
• Engage in collaborative efforts with fellow engineers to devise elegant architectures and solutions.

Requirements

• Bachelor's or Master's degree in Computer Science or a related field.
• Minimum of 6 years of experience in Infrastructure engineering or a similar role.
• Extensive experience in deploying, managing, and scaling applications with Kubernetes in both cloud and on-premise settings. Familiarity with Kubernetes ecosystem tools (e.g., Helm, Kustomize) is essential.
• Proficiency in infrastructure automation and configuration management tools (e.g., Terraform, Ansible).
• Experience integrating and optimizing gRPC protocols to enhance system communication efficiency and performance.
• Exceptional problem-solving abilities with the capacity to thrive under pressure in a fast-paced environment.
• Ability to work autonomously as well as collaboratively within a team environment.

Nice to have

• Hands-on experience with event-driven data and machine learning infrastructure, encompassing streaming pipelines, database systems, model training, and GPU-accelerated inference.

Benefits

• Health, dental, and vision coverage for you and your dependents
• 401k Plan with 4% company match
• 21 days of PTO & 14 company holidays; including 2 floating holidays

Salary Range Information 

In consideration of market analysis and various pertinent factors, the remuneration bracket for this role is set between $170,000 and $230,000. Nevertheless, adjustments beyond this range could be warranted for candidates whose qualifications substantially deviate from those delineated in the job description.

In-Office requirement

Offices remain pivotal for fostering collaboration and nurturing Foundry's cultural ethos. For roles like the one at our Palo Alto HQ, employees are required to work from the office three days a week (typically Monday, Wednesday, and Thursday), ensuring a blend of in-person and remote work conducive to our team dynamics and operational needs. Exceptions for full remote work must be formally approved.

Equal Opportunity Employer

Foundry maintains a strict commitment to Equal Opportunity employment practices. All applicants are evaluated without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

We emphasize that candidates need not fulfill every expectation listed to be eligible for this position. Our objective is to cultivate a diverse team encompassing a spectrum of backgrounds, experiences, and skill sets.