Senior Platform Engineer

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Istari

11 - 50 employees

🚀 Aerospace

☁️ SaaS

🤖 Artificial Intelligence

Aerospace • SaaS • Artificial Intelligence

Istari is at the forefront of digital engineering innovation, providing digital twin technology that revolutionizes industries from aerospace to agriculture. By making digital twins simple and secure, Istari unlocks advanced models and simulations, facilitating more efficient and sustainable product development. The company's innovative approach extends the internet into a future engineering metaverse, offering software-like agility for physical systems and empowering collaborative and secure workflows. Recognized for their groundbreaking work, Istari has secured a $19M contract to develop the world’s first digitally certified airplane, marking a significant milestone in digital certification and collaboration with partners like Lockheed Martin.

📋 Description

• 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

• 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

• Bonuses • Equity • Comprehensive benefits package

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