Principal Software Engineer – Backend

🕒 il y a 6 mois

🏄 California – Distant

🏄 California – Remote

💵 $139 000 - $249 260 / an

⏰ Temps Plein

🔴 Expert

🔙 Ingénieur Back-end

👻 Score fantôme 45%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Autodesk

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1982

🏗️ Construction

🏭 Fabrication

💼 Conseil

Construction • Manufacturing • Consulting

Autodesk est un leader mondial dans le domaine des logiciels pour les concepteurs, ingénieurs, constructeurs et créateurs. L'entreprise offre une suite complète d'applications de conception et d'ingénierie, incluant des produits populaires tels qu'AutoCAD, Revit et 3ds Max. Grâce à sa plateforme Design and Make, Autodesk permet aux professionnels de divers secteurs de concevoir, visualiser et gérer des projets de manière efficace, favorisant l'innovation et la durabilité dans les domaines de l'architecture, de l'ingénierie, de la construction et de la fabrication.

Description

• Provide principal-level technical leadership across multiple backend and platform teams • Shape architecture and technical strategy beyond a single squad or service • Author and evolve critical backend systems and APIs for scalability, reliability, and extensibility • Lead design of distributed, event-driven systems, addressing consistency, ordering, failure handling, replay, idempotency, rate limiting, and backpressure • Establish and drive service and API standards, including schema design, versioning, backward compatibility, and consumer experience • Act as technical decision-maker for cross-team initiatives and make durable architectural choices • Drive operational excellence through observability, alerting, incident response, post-incident learning, and systemic remediation • Reinforce engineering best practices for design reviews, code quality, testing, CI/CD, and production readiness • Mentor senior engineers and emerging technical leaders through influence, example, and coaching • Partner with product, data, and platform leaders to translate ambiguous business problems into technical solutions • Remain hands-on in complex system design, critical implementations, architectural refactors, and high-severity incident resolution

🎯 Exigences

• Bachelor’s or Master’s degree in Computer Science, a related technical field, or equivalent practical experience • 10+ years of professional software engineering experience, with significant depth in backend and distributed systems • Experience building enterprise platform services consumed by many internal and/or external teams • Python, AWS, API, and backend services integration experience • Expertise building and operating backend services and APIs in production environments at scale • Strong experience with distributed systems design, including asynchronous processing, messaging, eventual consistency, and fault tolerance • Deep hands-on experience with AWS and cloud-native architectures, including compute, storage, messaging, IAM, observability, and scaling patterns • Proven ownership of mission-critical systems, including design accountability, operational responsibility, and long-term maintainability • Strong software engineering fundamentals: system design, service-level data modeling, API design, automated testing, CI/CD, and infrastructure as code • Track record of influencing architecture and engineering outcomes across multiple teams without formal authority • Excellent written and verbal communication skills, with the ability to clearly articulate complex technical concepts to diverse audiences • Preferred: familiarity with data engineering or data platform ecosystems • Preferred: experience with event streaming and messaging platforms such as Kafka or Kinesis • Preferred: background in master data management, identity resolution, data enrichment, or data quality • Preferred: experience integrating backend services with analytics, search/indexing, or ML/AI platforms • Preferred: experience operating in large, complex organizations spanning multiple teams, regions, and business units

🏖️ Avantages

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

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