Senior Software Engineer, Product

This role is part of the Jobright TNT—a private hiring network connecting top talent with top AI startups like Perplexity, Mercor, Cresta, Suno, and 150+ more. Only select, high-signal candidates are invited to Jobright TNT and recommended directly to hiring teams.

About the Company

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

Pay

$180K/yr - $225K/yr

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 Tech Leads 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

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, 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

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.)