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Posted 2 months ago

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Sr. Platform Engineer

AnywhereRemoteFull-time

AI Summary

Senior Platform Engineer owning end-to-end architecture of the Core Platform, designing scalable APIs, event-driven and distributed systems, and AI-enabled workflows while providing technical leadership and cross-team collaboration.

About this role

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.
  • Skills

    AI/ML IntegrationDistributed SystemsDomain-Driven DesignEvent-driven ArchitectureFunctional ProgrammingGolangMCP IntegrationsMicroservicesObject-oriented ProgrammingObservabilityPerformance OptimizationPythonREST API DesignTypeScript

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