Senior Software Engineer, AI/MLOps

Galileo•Burlingame, CA

About The Position

As an early engineer at Galileo, you will play a foundational role in designing, building, and scaling our products and team. We’re looking for an exceptional Senior Software Engineer, interested in solving complex problems at the intersection of Data and ML and passionate about the opportunities in Observability and Reliability for GenAI. What you'll be doing Technical Design and Architecture - you will champion for the right scalable, reliable architecture and obtain buy-in from all the stakeholders Planning and Execution - you will work with your team to help plan the roadmap and execute it PR and Design Reviews - you will uphold the engineering excellence/quality bar by reviewing your peer’s PRs Collaboration - you will collaborate closely with Product Managers, designers and other TLs to ensure we are building the right strategy and leveraging each other’s work. Advance Engineering - you will participate in design reviews, on-call and support, participate in and present during Tech Talks and learning sessions & help interview other engineering candidates

Requirements

5+ years of experience building Data or AI/ML products
Experience building APIs in Python (FastAPI preferred)
Experience building large scale distributed systems and familiarity with
Messaging and Pub-Sub systems such as RabbitMQ/Kafka
Storage/database systems similar to Postgres, MongoDB, Cassandra, S3
OLAP systems such as ClickHouse, Pinot
Orchestration systems such as Celery
Experience building test suites using frameworks such as PyTest/PyUnit
Experience working effectively during the product development process, working cross-functionally with a product manager, designer, user researcher, and data scientist
Excellent communication skills for collaborating with cross-functional partners
High productivity and care to help teams collaborate more effectively and efficiently
A startup mindset, biasing towards thoughtful action with minimal direction.

Nice To Haves

Experience working with Docker and Kubernetes.
Experience building applications on at least one of AWS, Google Cloud, or Microsoft Azure.
Experience building customer facing products with ML frameworks (like PyTorch, Tensorflow, Keras, etc)
Experience building agentic applications (like LLMs, rags, agents, etc.) with common frameworks (like OpenAI, langChain, crewAI, etc.)

Responsibilities

Technical Design and Architecture - you will champion for the right scalable, reliable architecture and obtain buy-in from all the stakeholders
Planning and Execution - you will work with your team to help plan the roadmap and execute it
PR and Design Reviews - you will uphold the engineering excellence/quality bar by reviewing your peer’s PRs
Collaboration - you will collaborate closely with Product Managers, designers and other TLs to ensure we are building the right strategy and leveraging each other’s work.
Advance Engineering - you will participate in design reviews, on-call and support, participate in and present during Tech Talks and learning sessions & help interview other engineering candidates