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.