Senior Software Engineer, Product

About the role

This role is part of the Jobright TNT — the private hiring network connecting top talent with top AI startups like Perplexity, Mercor, Cresta, Suno and 150 more. Galileo is the leading platform for Gen AI evaluation and observability, democratizing safe and reliable AI-powered software development.

Responsibilities

• Champion scalable, reliable architecture and obtain buy-in from stakeholders
• Work with your team to plan the roadmap and execute it
• Uphold engineering excellence and quality by reviewing peer PRs
• Collaborate closely with Product Managers, designers and other TLs to ensure alignment and leverage shared work
• Participate in design reviews, on-call and support, Tech Talks, learning sessions, and help interview 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
• 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, collaborating 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

Preferred

• 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)