Sr. Platform Engineer

Job description

We are seeking a Senior Platform Engineer to join our Core Platform team. In this role, you will own and evolve the end-to-end architecture of the Core Platform, including backend services, SDKs, AI-enabled capabilities, and supporting infrastructure. You will design and operate scalable APIs, event-driven systems, distributed services, and AI-integrated workflows, ensuring high standards for reliability, performance, observability, and security. This role requires strong architectural judgment, hands-on technical leadership, and the ability to collaborate cross-functionally to deliver extensible platform capabilities that support both traditional integrations and AI-driven use cases. You will help set technical direction, mentor engineers, and drive engineering best practices across the team. ### Core Responsibilities - Own the end-to-end architecture of the Core Platform, including backend services, SDKs, AI-enabled components, and related infrastructure. - Design and implement scalable APIs, event-driven systems, distributed services, and AI-integrated capabilities (including AI/ML and MCP integrations). - Architect systems that reliably incorporate AI models into production environments, with strong attention to observability, latency, cost management, and failure handling. - Lead API design and implementation with a focus on usability, performance, and long-term maintainability. - Architect and evolve microservices using domain-driven design principles. - Build platform abstractions and primitives that enable AI-driven workflows and agent-based capabilities. - Partner closely with Product, Infra, and Customer Success teams to deliver seamless, customer-centric integration capabilities. - Provide technical leadership, mentorship, and architectural guidance to engineers. - Establish and elevate engineering best practices across design, development, testing, and operations. ### Required Qualifications - 5+ years of professional software engineering experience. - Proven experience building scalable, reliable, and secure distributed systems, including systems that integrate AI/ML capabilities. - Experience integrating AI-powered features into production systems, with an understanding of performance, reliability, and governance considerations. - Deep expertise in REST API design and implementation. - Experience designing and operating event-driven architectures. - Strong coding skills across multiple layers of the stack (backend services, SDKs, developer tooling, and AI-integrated systems). - Strong understanding of microservices architecture and domain-driven design. - Strong proficiency in Python (object-oriented and functional programming). - Experience with Golang and TypeScript desired. - Track record of technical leadership, mentorship, and cross-functional collaboration. - Excellent communication skills with the ability to influence at both technical and strategic levels. - Must be a US citizen living within the United States.