Senior Platform Engineer

Istari

Senior Platform Engineer developing scalable APIs and AI-driven capabilities in the Core Platform. Leading technical direction and mentoring engineers in cross-functional collaboration.

Posted 7/22/2026full-timeRemote • New York • 🇺🇸 United StatesSenior💰 $145,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting scalable, reliable, and secure distributed systems with a focus on AI/ML integration, REST API design, and microservices architecture. Provides technical leadership and mentorship while ensuring best practices in software development and operations.

Highest-signal resume keywords

AI/ML IntegrationREST API DesignMicroservices ArchitectureTechnical LeadershipDistributed Systems

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonGolangTypeScriptEvent-Driven ArchitectureScalable API DesignDomain-Driven DesignBackend ServicesSDK DevelopmentAI-Integrated SystemsObservability

Soft Skills

Excellent CommunicationCross-Functional CollaborationMentorship

Industry Keywords

Software EngineeringTechnical LeadershipCustomer-Centric IntegrationGovernance ConsiderationsPerformance Reliability

Tech Stack

Tools & technologies

Distributed SystemsGoMicroservicesPythonTypeScript

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Bonuses
Equity
Comprehensive benefits package