Senior Backend Developer, Galaxy

• 7+ years of professional software engineering experience
• Strong experience building backend systems in Golang
• Deep understanding of distributed systems. Experience working with blockchain systems, preferably Ethereum — including familiarity with execution vs consensus layers, node operation, and data flow
• Experience with cloud-native infrastructure: AWS, Kubernetes, Helm, GitOps (e.g. Flux)
• Strong testing practices for complex and stateful systems
• Experience working in remote, asynchronous teams
• High agency, low ego — you own your work end-to-end and hold yourself accountable for quality

Desirable

• 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
• Build and own backend systems
• Design and build APIs, services, Ethereum data pipelines and indexers, staking and validator infrastructure integrations, and monitoring and operational tooling
• Own system design end-to-end: architecture, implementation, testing, deployment, and observability
• Work across the Ethereum stack, integrating with both execution layer and consensus layer clients
• Contribute to Liquid Collective alongside other staking and blockchain infrastructure projects across Galaxy
• Define and uphold engineering standards
• Set and maintain the bar on API design, testing strategies for distributed systems, reliability and fault tolerance, and security and key management practices
• Operate in a spec-first development environment — translate product and protocol requirements into clear technical specs before building
• Leverage AI-assisted development workflows (e.g. Claude Code) and work with emerging paradigms like MCP (Model Context Protocol) and agent-based tooling
• Collaborate and contribute to engineering culture
• Work cross-functionally with protocol, product, and infrastructure teams
• Mentor engineers through code review, design feedback, and raising the overall quality of what the team ships
• Contribute 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
• Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work