Senior DevOps Engineer, Galileo
+ Early stage equity
Evaluation intelligence platform
Open for applications
Evaluation intelligence platform
21-100 employees
Open for applications
+ Early stage equity
21-100 employees
Company mission
To give AI teams a way to evaluate, iterate, monitor and protect AI applications at enterprise scale.
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, with an over 800% boost to its revenue across 2024. It has also raised substantial funding that will support 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
Insights
Few candidates hear
back within 2 weeks
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
Articles
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 & COO)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 & CTO)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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