Senior Devops Engineer

About Galileo

Galileo is an early-stage Series B business, founded in 2021 by Engineering Leaders from Google AI and Uber AI. Backed by tier 1 investors such as Battery Ventures, Scale Venture Partners, Walden Catalyst, and others with $68M in total funding. 

Galileo is poised to build an enduring business centered around AI/ML on unstructured data. The founding team spent years building cutting edge Machine Learning systems at Google, Uber and Apple. The big lesson was that models are as good as the data you give to them.

In the era of Generative AI and LLMs, the tools that Data Scientists use to do evaluations of Language Models and Applications includes ad-hoc python scripts, Jupyter Notebooks and Excel sheets. This calls for new tools in the LLM development stack to mitigate data errors and biases, investigate regions of LLM underperformance, and help create high quality LLM based applications quickly via robust evaluation and experimentation tooling.

Galileo provides an end-to-end platform for evaluating, observing, and protecting Generative AI (GenAI) applications. Their key offerings include:

• Evaluate: A tool for building and iterating on GenAI systems, allowing teams to experiment and optimize their AI models efficiently.
• Observe: A real-time monitoring and debugging solution for production GenAI applications, providing alerts about hallucinations and abnormal behavior.
• Protect: A system that creates and manages guardrails to safeguard users from harmful outputs and protect AI systems from malicious inputs.

Role Description

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.

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.  

Main Responsibilities

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

Minimum Qualifications

• 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 

You’re an ideal fit if you also have:

• 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
• Strong experience building APIs in Python, working with Docker and Kubernetes, building systems on AWS, Google Cloud, Azure

Why Galileo

• This is an opportunity to join a seasoned founding team that has previously led product and engineering teams from 0 to $100M+ in revenue and from 0 to 1B+ users globally
• We obsess over our team’s culture driven by inclusivity, empathy and curiosity
• We invest in our team’s development and happiness because our employees are the keys to our success and ensuring happy customers – towards that end, we offer: 
• • Unlimited PTO
  • Parental leave – 100% pay for 8 weeks
  • Medical, Dental and Vision Insurance
  • 401 (K) Retirement Savings Plan
  • Early stage equity 
  • Mental and Physical Wellness Stipend
  • Daily Lunch Stipend 
  • Offices in San Francisco and New York