Senior DevOps Engineer, Galileo

Salary not provided

+ Early stage equity

AWS

Docker

Kubernetes

GCP

Python

Jenkins

Azure

Split

Senior and Expert level

San Francisco Bay Area

Office located in Burlingame, CA

AI observability and evaluation platform

Job no longer available

AI observability and evaluation platform

101-200 employees

B2BArtificial IntelligenceEnterpriseMachine Learning

Job no longer available

Salary not provided

+ Early stage equity

AWS

Docker

Kubernetes

GCP

Python

Jenkins

Azure

Split

Senior and Expert level

San Francisco Bay Area

Office located in Burlingame, CA

101-200 employees

B2BArtificial IntelligenceEnterpriseMachine Learning

Company mission

To give AI teams a way to evaluate, iterate, monitor and protect AI applications at enterprise scale.

Job

Company

Role

Who you are

If you are passionate about Machine Learning, believe that ML and AI will change the future of the world, and are an excellent and disciplined programmer, this is a great opportunity for you
3 years minimum of relevant work experience
Strong experience with Kubernetes and/or related container orchestration systems
Worked with Jenkins, Github Actions as well as other systems and tools to streamline CI/CD processes
Strong experience with Python
Experience building backend services and APIs (in Python)
A startup mindset, biasing towards thoughtful action with minimal direction

Desirable

Strong experience working with:
Building and working on complex Kubernetes applications (e.g. applications with split control and data planes)
Cloud services such as Amazon Web Services (AWS) or Google Cloud Platform (GCP)
Kubernetes
Docker and container systems
Monitoring and Observability stacks
Best security practices when managing cloud services and access (TLS, mTLS, SSO, Image hardening)
Strong experience building APIs in Python, working with Docker and Kubernetes, building systems on AWS, Google Cloud, Azure

What the job involves

As a founding Senior Devops Engineer at Galileo, you will play a foundational role in designing, building, and scaling Galileo's build and deployment systems
We’re looking for an exceptional software engineer, interested in solving complex problems at the intersection of Data and ML
Join our team at Galileo and help us build the future of data intelligence in Machine Learning
Build and scale Galileo's build and deployment system
Streamline Galileo's customer deployment and release management pipelines for customers
Build robust internal operations tooling to drive up developer efficiency
Design and develop internal observability around internal as well as customer clusters
Build and own tooling to automate Galileo’s operational infrastructure

Our take

Generative AI evaluation company Galileo is here to help solve AI's measurement problem. To empower a future where all enterprises run on machine learning, it supplies AI teams with a way to evaluate, iterate, monitor and protect AI applications at enterprise scale.

The value of this offering is that is enables teams to build at speed while ensuring their apps are both tailored for purpose and secure. The product is powered by research-backed evaluation metrics, and is already used by hundreds of AI teams from startups to Fortune 50 enterprises.

Galileo has experienced rapid growth. For example, in 2024, it saw an over 800% boost to its revenue. It has also raised substantial funding that supports the scaling of its go-to-market strategy, expansion of product development efforts and a further investment in research.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Oct 2024

$45m

SERIES B

Nov 2022

$18m

SERIES A

Total funding: $68.1m

Company benefits

Best-in-class coverage in Health / Dental / Vision for our team
Wellness stipend for everyone on the team to take good care of themselves, even outside of work
While we’re at work, our meals are taken care of, so we can get all the fuel we need to be at our best
Investing in ourselves also includes investing in our retirement. We provide a 401-K plan to encourage saving some portion of our paychecks
Take time off as needed to rest, refresh or rejuvenate
We strongly believe in supporting our team as well as helping them support those near and dear to them

Company HQ

SoMa, San Francisco, CA

Leadership

Vikram Chatterji

(Co-Founder & CEO)

Member of the Forbes Technology Council and Advisor at CMU Tech & Entrepreneurship. Was previously Product Management Lead of Google AI at Google as well as Head of Product for Consumer/Data Science at Premise Data.

Yash Sheth

(Co-Founder & CTO)

Former Staff Software Engineer Google. Has also worked as a Graduate Teaching Assistant at UC Irvine, interned in Software Development at salesforce.com and was Associate Systems Engineer at Perfect Carboys.

Atindriyo Sanyal

(Co-Founder & CPO)

An Advisor for various companies, they previously were part of Engineering Leadership at Uber AI. Was also Senior Engineering Lead at Apple and a Graduate Researcher at the Networks Research Laboratory at UCLA.

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