istaridigital.ai - Istari Digital - Principal Platform Engineer
Requirements
• 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. • Istari is a digital engineering software company building open, scalable infrastructure for engineering data. Our platform lets customers simply and securely integrate engineering models across disciplines, organizations, and security levels — whether they're designing prototypes, performing virtual testing, or training AI and autonomy for complex systems. • Focus is rewarded. Finish is remembered. • Facts are friendly. Even when they are not fun. • Fellowship is fundamental. Make others successful.
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.
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