PlayerZero builds an engineering world model so SRE, QA, and support teams resolve incidents, prevent defects, and close tickets faster. Backed by Tech Square Ventures.
About the role
As a Platform Engineer, you’ll build and evolve the backend services and shared capabilities that power PlayerZero. You’ll work across application code, data models, integrations, and infrastructure to make the platform more reliable, maintainable, and easier to extend. Our platform work spans communications, billing, shared services, and the runtime supporting AI agents. Your initial focus will reflect the team’s priorities and your strengths, with opportunities to contribute across these areas. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Deep experience building and operating backend systems with Kotlin, including strong JVM fundamentals and familiarity with Gradle
- Experience incrementally decomposing a large JVM application into clearer modules or services
- Strong skills in API design, data modeling, databases, and distributed systems
- A practical approach to architecture, with a track record of removing unnecessary complexity and delivering improvements in manageable steps
- Ownership of technical work from design through production, including troubleshooting and maintaining the systems you build
- The ability to lead through technical judgment, clear writing, code review, and collaboration
More about this role
Building great software takes more than writing code. It takes teams working together and too often, the information they need is scattered across tools, conversations, and systems.
PlayerZero is an AI platform that connects work across enterprise Support, Engineering, Product, QA, and SRE teams, helping them resolve issues faster, improve software quality, and plan what to build next.
At its core is our Engineering World Model: a living understanding of a company’s software, how it runs, and the people and decisions behind it. By connecting codebases, tickets, production telemetry, and the conversations that shape the work, our model links what software is intended to do with how it actually behaves in production. and learns from where the two diverge.
Our agents (we call them Players:) use that context to take on work across the software lifecycle. They learn from each outcome, earning trust and taking on more responsibility over time.
We’re building a future where AI plays an active role in how teams plan, build, and run software. We’re looking for people across disciplines to help shape
As a Platform Engineer, you’ll build and evolve the backend services and shared...
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