Principal Software Engineer – Backend

🕒 Abril 21

🏄 California – Remoto

🏄 California – Remote

💵 $139.000 - $249.260 / ano

⏰ Tempo Integral

🔴 Especialista

🔙 Engenheiro Backend

👻 Score fantasma 45%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Autodesk

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1982

🏗️ Construção

🏭 Manufatura

💼 Consultoria

Construction • Manufacturing • Consulting

A Autodesk é líder global em software para designers, engenheiros, construtores e criadores. A empresa oferece um portfólio abrangente de aplicativos de design e engenharia, incluindo produtos populares como AutoCAD, Revit e 3ds Max. Por meio de sua plataforma Design and Make, a Autodesk capacita profissionais de diversos setores a projetar, visualizar e gerenciar projetos com eficiência, fomentando a inovação e a sustentabilidade em arquitetura, engenharia, construção e manufatura.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo