Lead Software Engineer

Revenue.io is seeking a Lead Software Engineer to play a pivotal role in shaping both the technology and culture of our Revenue Platform team. This is a player-coach role for someone who leads by example—writing high-quality code, guiding technical direction, and setting the standard for how great engineering gets done.

You’ll be at the forefront of our evolution toward generative AI-powered software development, helping us integrate AI tooling across the entire SDLC—from planning and design to testing, release, and operations. You’ll serve as a technical force multiplier: mentoring others, leading initiatives, and conducting self-directed technical spikes that inform platform strategy.

We're looking for someone who is equal parts builder, explorer, and leader—someone who delivers at a high level while inspiring the team around them to do the same.

• Individually contribute to complex backend systems, delivering performant, secure, and maintainable code that others look to as the gold standard.
• Lead and deliver key platform initiatives, driving architectural decisions and execution with clarity and consistency.
• Conduct structured, self-directed technical spikes and evaluations to inform platform direction and de-risk implementation decisions.
• Own and drive resolution of the most complex, high-priority production issues, leveraging logs, telemetry, and team collaboration to rapidly diagnose and remediate.
• Drive deep, hands-on adoption of generative AI tools (e.g., Copilot, Cursor, Devin) across all phases of the SDLC, not just development—impacting planning, testing, documentation, operations, and release workflows.
• Mentor other experienced engineers, helping them grow technically while instilling a mindset of high ownership, curiosity, and continuous improvement.
• Own and continuously evolve core engineering practices, including code review standards, observability patterns, and test strategies.

• 3+ years of experience as a Lead or Staff Software Engineer role with similar responsibilities 
• 8+ years of Java-based, backend development experience in high-scale SaaS environments preferably early/mid-stage start ups (Series C and earlier)
• Proven experience architecting and delivering production-grade platforms and platform services with high reliability, performance, and security.
• Significant skills and experience in Java, Spring Boot, and designing scalable REST APIs.  Experience with React / Typescript a significant plus
• Demonstrable, hands-on experience leveraging generative AI tooling in real engineering work.
• Proven ability to troubleshoot the most complex production issues using telemetry, logs, and debugging tools—especially in distributed systems.
• Track record of leading technical investigations, spikes, and prototyping initiatives that shape product or platform direction.
• Deep familiarity with PostgreSQL, Redis, AWS infrastructure, CI/CD pipelines, and observability tools.
• Clear, structured communicator—proactive in updates, alignment, and decision-making.
• Passion for mentorship, team growth, and elevating engineering culture.  You are a bar setter.

• You’re a builder, mentor, and force multiplier—you write excellent code, but your true power is in how you level up everyone around you.
• You’re a model of engineering excellence—your work demonstrates what best-in-class execution looks like in everything from code quality to communication and delivery velocity.
• You’re a generative-native leader—you don’t just use AI tooling, you wield it to rethink velocity, quality, and the entire engineering workflow.
• You see ambiguity as an opportunity to drive clarity—and you move fast, even when the map isn’t finished.
• You’re obsessed with improving the craft of software engineering—and you have strong opinions, held lightly, about how we can do it better.
• You take pride in being the calmest person in the room during production incidents—and the fastest to find the root cause.
• You’re not just here to deliver features. You’re here to shape how great engineering gets done in the AI era.