## Job Summary
We are seeking a **Platform Engineer** who combines **product ownership** with **hands-on engineering** to lead the development and management of our enterprise-facing platform. The role involves understanding customer needs, translating them into actionable roadmaps, and delivering scalable, reliable systems from design to production. The engineer will be responsible for the API platform, model gateway, evaluation infrastructure, and core backend systems, ensuring an optimal developer experience and system reliability to support enterprise AI workloads.
## Responsibilities
- **Own platform priorities** in collaboration with the founders by transforming customer problems into a strategic roadmap, defining success metrics, and delivering end-to-end improvements.
- **Build and scale** the API platform and model gateway, including features such as routing, authentication, usage tracking, and billing.
- **Develop evaluation and benchmarking infrastructure** that captures production feedback, enabling the AI/ML team to measure and enhance model performance.
- **Create APIs, documentation, and developer-facing interfaces** to facilitate seamless enterprise integration.
- **Manage backend architecture** across services, databases, and cloud infrastructure, balancing throughput, latency, reliability, and cost-efficiency.
- **Coordinate with GPU/inference teams** to ensure system uptime, capacity planning, and failure handling for enterprise workloads.
- **Implement observability, logging, monitoring, and debugging systems** with clear alerting and incident response protocols.
- **Collaborate with AI/ML teams** to integrate and evaluate open-weight models and ensure reliable model serving.
- **Oversee releases and production deployment**, including testing, safe deployment, issue diagnosis, and incorporating customer feedback for continuous improvement.
## Qualifications
- 3 - 7 years of experience in **backend, platform, or full-stack engineering**.
- Proven experience in **building and owning production-grade backend systems and APIs**.
- Experience shipping products at **product-led startups** or **high-scale technology companies**.
- Strong proficiency in **backend programming languages** such as **Python, Go, Java, or JavaScript/TypeScript (Node.js)**.
- Solid understanding of **databases, distributed systems, APIs, and cloud infrastructure**.
- Experience managing **reliability, latency, observability**, and handling **production incidents**.
- Comfortable working **across the stack** with a strong **backend foundation**.
- Demonstrated **product ownership** skills: understanding customer problems, making trade-offs, prioritizing work, and measuring impact.
- **Experience with AI/ML infrastructure**, **LLM APIs**, **model serving**, **evaluation systems**, or **developer platforms** is a strong plus but not mandatory.
## Preferred Skills
- Experience building backend or platform products at companies such as **Razorpay, Uber, Salesforce**, or similar organizations.
- Ability to make **architectural trade-offs** and operate **infrastructure dependencies** critical to engineering teams and customers.
- Hands-on experience in **AI infrastructure**, **model deployment**, and **evaluation systems**.
## Experience
- **3 to 7 years** of relevant experience in backend or platform engineering.
- Proven track record of **taking products from customer problem to production**, making **architectural decisions**, and **operating critical infrastructure**.
## Environment
- The role involves working in a **collaborative environment** with close interaction with founders and cross-functional teams.
- The work setting details (remote, in-office, hybrid) are **not specified**.
- The role requires a **hands-on approach** with a focus on **building scalable, reliable systems** for enterprise AI workloads.
## Salary
*Not specified.*
## GrowthOpportunities
*Not specified.*
## Benefits
*Not specified.*