Senior Software Engineer, Product

Hiring Company

Galileo One-liner: Galileo is the leading platform for Gen AI evaluation and observability, democratizing safe and reliable AI-powered software development.

Role Responsibilities

• Technical Design and Architecture - champion for the right scalable, reliable architecture and obtain buy-in from all stakeholders
• Planning and Execution - work with your team to help plan the roadmap and execute it
• PR and Design Reviews - uphold the engineering excellence/quality bar by reviewing peer PRs
• Collaboration - 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 - participate in design reviews, on-call and support, Tech Talks and learning sessions, and help interview engineering candidates

Qualifications

• 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
• Experience building large scale distributed systems and familiarity with Storage/database systems similar to Postgres, MongoDB, Cassandra, S3
• Experience building large scale distributed systems and familiarity with OLAP systems such as ClickHouse, Pinot
• Experience building large scale distributed systems and familiarity with 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
• Achieve high productivity and care to help teams collaborate more effectively and efficiently
• A startup mindset, biasing towards thoughtful action with minimal direction

PREFERRED QUALIFICATIONS

• 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)