Rungalileo
Senior Devops Engineer
Rungalileo, New York, New York, us, 10261
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 DescriptionAs 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 ResponsibilitiesBuild and scale Galileo's build and deployment systemStreamline Galileo's customer deployment and release management pipelines for customersBuild robust internal operations tooling to drive up developer efficiencyDesign and develop internal observability around internal as well as customer clustersBuild and own tooling to automate Galileo’s operational infrastructureMinimum Qualifications3 years minimum of relevant work experienceStrong experience with Kubernetes and/or related container orchestration systemsWorked with Jenkins, Github Actions as well as other systems and tools to streamline CI/CD processesStrong experience with PythonExperience building backend services and APIs (in
Python
)A startup mindset, biasing towards thoughtful action with minimal directionYou’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)Docker and container systemsStrong experience building APIs in Python, working with Docker and Kubernetes, building systems on AWS, Google Cloud, AzureWhy GalileoThis 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 globallyWe obsess over our team’s culture driven by inclusivity, empathy and curiosityWe 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:
#J-18808-Ljbffr
: 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 DescriptionAs 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 ResponsibilitiesBuild and scale Galileo's build and deployment systemStreamline Galileo's customer deployment and release management pipelines for customersBuild robust internal operations tooling to drive up developer efficiencyDesign and develop internal observability around internal as well as customer clustersBuild and own tooling to automate Galileo’s operational infrastructureMinimum Qualifications3 years minimum of relevant work experienceStrong experience with Kubernetes and/or related container orchestration systemsWorked with Jenkins, Github Actions as well as other systems and tools to streamline CI/CD processesStrong experience with PythonExperience building backend services and APIs (in
Python
)A startup mindset, biasing towards thoughtful action with minimal directionYou’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)Docker and container systemsStrong experience building APIs in Python, working with Docker and Kubernetes, building systems on AWS, Google Cloud, AzureWhy GalileoThis 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 globallyWe obsess over our team’s culture driven by inclusivity, empathy and curiosityWe 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:
#J-18808-Ljbffr