Own and evolve the Core Platform architecture: design and operate scalable APIs, event-driven distributed services, SDKs and AI-integrated workflows. Ensure reliability, observability, performance, and security; provide technical leadership, mentor engineers, and drive best practices.
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.
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.
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