VP, Senior Backend Developer - Galaxy

What We Value:

We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.

• Seek Excellence.
• Be Selective To Be Effective.
• Be Highly Aligned, Loosely Coupled.
• Disagree Transparently.
• Encourage Independent Decision-Making.
• Build Dream Teams.

Who You Are:

You'll design and build backend systems powering blockchain infrastructure and staking products across Galaxy — spanning Ethereum-based systems, staking infrastructure (native and liquid), and blockchain data systems and APIs. Liquid Collective is one of several key initiatives you'll contribute to.

This is a hands-on role with significant ownership and influence. You'll play a key part in shaping architecture, development practices, and engineering culture — not just building features, but raising the bar on how the team works. You'll own systems end-to-end, from architecture through to observability, and you'll operate in a spec-first development environment that increasingly leverages AI-assisted workflows.

Typical time allocation: roughly 60% building systems and features, 20% code review and mentorship, 20% design, architecture, and product collaboration.

What You’ll Do:

• Design and build APIs, services, Ethereum data pipelines and indexers, staking and validator infrastructure integrations, and monitoring and operational tooling.
• O wn system design end-to-end: architecture, implementation, testing, deployment, and observability.
• W ork across the Ethereum stack, integrating with both execution layer and consensus layer clients.
• C ontribute to Liquid Collective alongside other staking and blockchain infrastructure projects across Galaxy.
• Set and maintain the bar on API design, testing strategies for distributed systems, reliability and fault tolerance, and security and key management practices.
• O perate in a spec-first development environment — translate product and protocol requirements into clear technical specs before building.
• L everage AI-assisted development workflows ( e.g. Claude Code) and work with emerging paradigms like MCP (Model Context Protocol) and agent-based tooling.
• W ork cross-functionally with protocol, product, and infrastructure teams.
• M entor engineers through code review, design feedback, and raising the overall quality of what the team ships.
• C ontribute to how the team evolves its practices — not just executing within the current system, but improving it.
• Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.