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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Backend Engineer - **Company:** Arena Intelligence, Inc. - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Application Layers, Audit Trail, User Authentication, Data Architecture, Data Systems, PostgreSQL, Role-Based Access Control, Redis, Single Sign-On, Data Streaming, Enterprise Data Management, Large Language Models, Backend, Stripe, Machine Learning Operations, Api Design, Data Pipelines - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/backend-engineer-arena-intelligence-inc-8764698 ## About the Role * 5+ years of backend engineering experience, with meaningful time spent on building product facing APIs, services and data systems at scale * Strong proficiency in a modern backend language - Go preferred - and the judgment to design APIs other engineers and customers will live with for years. * Solid data fundamentals. You're comfortable modeling, querying, and scaling Postgres, and you know when to reach for Redis, a queue, or a warehouse. * Experience composing services into products - integrating payments, auth, analytics, or data pipelines into something coherent and reliable. * A product-oriented mindset. You think about the developer experience of your APIs, not just the implementation. You ask "why" before "how." * Comfort with ambiguity. We're a startup. Scope is fluid, context shifts, and you'll wear many hats. That should sound exciting, not stressful., * Experience with LLM provider APIs (OpenAI, Anthropic, Google, etc.) and the realities of building on them: streaming, token accounting, rate limits, model-specific quirks. * Background in ML infrastructure, model serving, or evaluation frameworks. * Experience building enterprise-ready features: SSO, RBAC, audit logs, multi-tenancy. * Experience building billing and usage infrastructure around systems like Stripe, Metronome, and Orb. * Familiarity with the modern AI stack (vLLM, LiteLLM, LangChain, etc.). ## Description Arena Intelligence is looking for a backend engineer to build the products and platforms that sit on top of our evaluation systems - the APIs, services, and data systems that turn Arena's evals into products that enterprises depend on. This is the application layer of the Arena Service. Where our infrastructure teams builds the gateways and runtimes beneath - you will work closely with them to build the backends that customers will touch directly. This will include the APIs that expose Arena and enterprise data and the systems that manage usage, billing and multi tenant access. This work spans product surfaces of varying maturity and the data pipelines behind them - zero to one in places and scale-it up in others. You'll be an early member of our enterprise team, working closely with infrastructure engineers, researchers, and product leadership. We move fast and stay rigorous., * Turn evaluations into product. Partner with the research team to take novel eval methods and make them durable, full-featured products: scoring pipelines, data models, and the APIs that expose them. * Ship enterprise-grade backends. Usage metering, cost attribution, billing integration, authentication, RBAC, multi-tenancy, and audit logging - the systems enterprise customers expect. * Own the data architecture. Unify our public and private evaluation data, design schemas that hold up as the product grows, and make Arena's data queryable, consistent, and fast. * Flex across the stack. Contribute to the backend of our Leaderboards and Evals platforms when needed, helping unify our public and private data architectures. ## Related Videos - [Navigating Growth, Scaling Challenges, and Office Expansions with David Singleton, CTO at Stripe](https://www.wearedevelopers.com/videos/100362-navigating-growth-scaling-challenges-and-office-expansions-with-david-singleton-cto-at-stripe) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [Meet Your New BFF: Backend to Frontend without the Duct Tape](https://www.wearedevelopers.com/videos/682-meet-your-new-bff-backend-to-frontend-without-the-duct-tape) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [The 7 Most Popular Backend Frameworks for Developers](https://www.wearedevelopers.com/magazine/403-the-7-most-popular-backend-frameworks-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)