> Markdown version of [/jobs/ext/4613169-software-engineer-platform](https://www.wearedevelopers.com/jobs/ext/4613169-software-engineer-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Platform - **Company:** PEOPLE INC. - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $200,000.0 - $350,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, User Authentication, Microsoft Azure, Cloud Computing, Programming Tools, Distributed Systems, PostgreSQL, Redis, Software Engineering, Data Streaming, AI Infrastructure, Google Cloud, Large Language Models, Backend, Rate Limiting, Usage Tracking, Kubernetes, Machine Learning Operations, Api Gateway, Terraform, Dynatrace, Golang - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25304_f790b45d6ebee33b5a0cb250c941c4f6 ## About the Role * 5+ years of professional software engineering experience, focused on backend services, distributed systems, or developer-facing platforms. * Strong Golang experience is required. You have built and operated meaningful backend systems in production. * Experience designing reliable APIs, service integrations, or gateway/proxy-style systems. * For Senior candidates: a track record of owning and delivering important backend functionality end to end. * For Staff candidates: extensive backend/platform experience, strong technical judgment, and the ability to provide hands-on technical leadership. * Cloud experience with GCP, AWS, Azure, or another major provider is helpful but not required. * Comfortable working hands-on in a fast-moving environment where the product and infrastructure are still evolving. * Able to work from our San Francisco office three days per week. Nice to Have * API gateway, proxy, or multi-provider integration experience. * Experience with streaming APIs, response normalization, or resilient distributed systems. * Exposure to LLM APIs, model serving, AI infrastructure, or evaluation platforms. * Cloud infrastructure experience across GCP, AWS, Azure, Kubernetes, Terraform, Postgres, or Redis. * Experience building usage tracking, billing/metering, authentication, or developer tooling. ## Description The open AI evaluation platform redefining how the world's leading AI labs measure model performance is looking for a Software Engineer, Platform to help shape the future of how the world measures artificial intelligence. They are building an AI gateway that gives developers access to multiple model providers through a unified endpoint. The product is in a private, gated launch, with additional platform capabilities-including direct model access-being built next. You'll help build the platform infrastructure that turns their research advantage into enterprise products. This is a founding role on the developer team. You'll work directly with the founders and early customers to define what they build and how they build it., * Build and scale hands-on backend platform services for client's AI gateway, evolving an existing prototype into a reliable, independently scalable service. * Solve hard streaming problems. Handle SSE/streaming responses across heterogeneous providers, including partial failure recovery, mid-stream fallback, and consistent response normalization. * Ship reliable platform infrastructure, including capabilities such as authentication, rate limiting, usage metering, and cost tracking as the gateway matures. * Build deep observability. Instrument the platform with distributed tracing, latency breakdowns, usage tracking, and real-time dashboards so customers (and the team) can see exactly what's happening. * Build AI-centered platform capabilities. Integrate with client's evaluation platform and data, and collaborate with research and product teams to turn new ideas into reliable product features. * Flex across the stack. Contribute to the backend of the company's Leaderboards and Evals products when needed, working across platform and product boundaries.