资深全栈软件工程师 — 开发平台（远程拉美）

Company: Playbypoint
Team: Core Platform
Location:LATAM remote. Open to other timezones with overlap to UTC-3 / UTC-5.
Employment: Full-time
Reports to: Engineering Manager, Core Platform

About Playbypoint

We're a rapidly expanding startup at the forefront of the racquet sports industry. At Playbypoint, we specialize in providing innovative enterprise software solutions that empower clubs, players, and coaches to streamline their operations and enhance their game. We're backed by top investors, trusted by leading clubs, and scaling fast – and we're looking for passionate individuals to join us in revolutionizing the racquet sports world with cutting-edge software.
The Role
We're building the platform that lets the world build on top of Playbypoint — and we're looking for a Senior Full Stack Engineer to be part of it. This goes beyond a traditional external API: you'll design and deliver the full stack of surfaces that enable developers, partners, and AI agents to integrate with us — REST APIs, MCP servers, skills, webhooks, and the developer experience layer that ties it all together.
This is a high-visibility, high-ownership role at the intersection of platform engineering and the emerging ecosystem of AI-powered builders.
Our stack: Ruby on Rails (backend), React + TypeScript (frontend), GraphQL and REST APIs, MySQL / Redis / Sidekiq, cloud-native infrastructure on AWS.
What You'll Do

• Design and build Playbypoint's external API — versioned, stable, and built to scale with a growing ecosystem of integrators and partners.

• Develop and maintain MCP servers and skills that expose Playbypoint capabilities to AI agents and developer tools.

• Own the developer experience end to end: API documentation, developer portal, onboarding flows, SDKs, and sandbox environments.

• Define API governance practices: versioning strategy, deprecation policies, backward compatibility, and breaking change management.

• Build the infrastructure that makes our external surfaces observable and reliable — rate limiting, auth, throttling, usage analytics.

• Partner with product and internal engineering teams to expose platform capabilities through well-designed, consistent integration contracts.

• Track and shape how the ecosystem of builders — human and AI — integrates with Playbypoint.

You Might Thrive in This Role If You

• Have 7+ years of software engineering experience, with significant focus on API design, platform development, or developer tooling.

• Are comfortable across the full stack — backend API design and frontend developer portal/documentation surfaces.

• Have designed and shipped public or partner-facing APIs at scale — versioning, auth models, rate limiting, and the full lifecycle of an external API are familiar territory.

• Have hands-on experience building for AI-era integration surfaces — MCP servers, agent skills, LLM tool definitions, or similar patterns.

• Care deeply about developer experience: you've built or contributed to developer portals, SDKs, or documentation systems that builders actually love.

• Understand the difference between an internal API and an external one — backward compatibility, contract stability, and the cost of breaking changes are not abstract concepts.

• Are comfortable working across teams to define integration contracts that balance internal velocity with external stability.

• Communicate clearly and default to async. Strong written and spoken English is a must — we work closely with US-based stakeholders and partners, and our developer-facing surfaces are products in themselves.

Engineering in the AI Era
We expect every engineer at Playbypoint to work with AI as a core part of their craft — not as a novelty, but as a force multiplier across the entire SDLC. That means:

• Actively using AI tools throughout the development lifecycle — design, coding, code review, testing, debugging, and incident analysis.

• Having built AI-powered tooling or agents — whether internal automation, LLM-integrated features, or workflow improvements that shipped to production.

• Knowing when AI adds real value and when it doesn't — judgment matters more than enthusiasm.

We don't expect everyone to be an AI researcher. We do expect you to be fluent in the tools and patterns of the moment, and curious about what's next.
Bonus

• Experience building API gateways, developer portals, or API management platforms.

• Deep familiarity with MCP (Model Context Protocol), agent skill frameworks, or AI-native integration patterns.

• Background in vertical SaaS, marketplaces, or fintech — where API reliability directly impacts partner revenue.

• Familiarity with OpenAPI/Swagger, webhook infrastructure, or event-driven integration patterns.

• Experience with Ruby on Rails at scale.

Originally posted on Himalayas