Distinguished Engineer

🕒 vor 1 Tag

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Autodesk

10.000+ Mitarbeiter

Gegründet 1982

🏗️ Bauwesen

🏭 Fertigung

💼 Beratung

Construction • Manufacturing • Consulting

Autodesk ist ein weltweit führender Anbieter von Software für Designerinnen und Designer, Ingenieurinnen und Ingenieure, Baufachleute und Kreative. Das Unternehmen bietet eine umfassende Suite von Design- und Engineering-Anwendungen, darunter bekannte Produkte wie AutoCAD, Revit und 3ds Max. Über die Design and Make Platform unterstützt Autodesk Fachleute in unterschiedlichsten Branchen dabei, Projekte effizient zu entwerfen, zu visualisieren und zu verwalten – und fördert so Innovation und Nachhaltigkeit in Architektur, Ingenieurwesen, Bauwesen und Fertigung.

Beschreibung

• Lead the design and implementation of scalable Product Access and entitlement systems for cloud, API, and AI-driven products • Define and drive the long-term technical strategy and engineering vision for Product Access platforms and access enforcement • Develop greenfield initiatives and foundational platform capabilities through hands-on prototyping and implementation • Contribute directly to critical projects and resolve complex engineering challenges across teams • Champion AI-assisted software development practices using tools such as Claude Code • Establish best practices for AI-assisted workflows across software design, implementation, testing, and operational support • Design access-decision systems for human and non-human actors, including services, automations, and AI agents • Evolve entitlement and licensing platforms for subscription, usage-based, and AI-driven consumption models • Build scalable, low-latency, resilient distributed systems with operational excellence • Influence technical direction and adoption of shared platforms, standards, and engineering practices across organizations • Partner with engineering, product, security, business, and Product Management teams on platform evolution, monetization, and strategy • Mentor engineers through collaboration, code reviews, architecture guidance, and technical leadership • Evaluate emerging technologies and translate them into practical engineering capabilities • Promote simplicity, developer experience, operational excellence, scalable architectures, and high-quality execution

🎯 Anforderungen

• 12+ years of experience building large-scale distributed systems and platform services • Strong hands-on software engineering background contributing to architecture, design, and implementation • Proven experience building or evolving Product Access platforms • Experience with entitlement and licensing systems • Experience with usage-based or consumption-driven services • Deep expertise in cloud-native architectures • Deep expertise in distributed systems design • Deep expertise in microservices and API design • Deep expertise in scalability, reliability, and operational excellence • Recognized technical expertise in distributed systems, platform engineering, or Product Access architectures • Ability to shape engineering direction through technical vision, innovation, and influence • Experience improving engineering productivity through modern tooling and developer platform investments • Practical experience with AI-assisted software development workflows and tools such as Claude Code, GitHub Copilot, Cursor, or similar • Familiarity with AI-enabled product patterns, agentic workflows, and API-driven consumption models • Ability to influence technical strategy and alignment across organizations without direct authority • Strong executive communication and stakeholder management skills • Ability to balance short-term delivery with long-term platform and architectural sustainability • Strong product and business acumen • Preferred: experience with SaaS licensing and entitlement models • Preferred: experience building platform services used across multiple engineering organizations • Preferred: exposure to developer platforms, internal tooling, or engineering productivity initiatives • Preferred: experience with Kubernetes, event-driven architectures, and AWS, Azure, or GCP • Preferred: exposure to AI/ML-enabled products and modern AI application architectures • Preferred: experience driving enterprise-scale platform adoption and technical convergence initiatives

🏖️ Vorteile

• Annual cash bonuses may be included in the compensation package • Stock grants may be included in the compensation package • Comprehensive benefits package • Health and financial benefits • Time away • Everyday wellness benefits • In-person onboarding and/or in-person ID verification may be required

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