Principal Software Engineer

🕒 Outubro 29

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $210.000 - $235.000 / ano

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 1%

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

AutoRABIT

SiteLinkedInTodas as Vagas

51 - 200 funcionários

💼 Consultoria

🏥 Saúde

📦 Logística

Consulting • Healthcare • Logistics

AutoRABIT é uma empresa especializada em soluções automatizadas de DevSecOps especificamente para ambientes Salesforce. Oferece uma variedade de produtos e serviços voltados para melhorar a segurança, conformidade e produtividade para equipes empresariais que utilizam Salesforce. Isso inclui gerenciamento automatizado de lançamentos, proteção de dados, análise de código estático e ferramentas de análises visuais. As soluções da AutoRABIT são projetadas para apoiar regulamentações rigorosas de segurança de dados e garantir qualidade nos lançamentos de aplicativos. As ofertas da empresa são construídas para fornecer automação profunda e visibilidade no pipeline de DevOps do Salesforce, atendendo a setores como bancos, saúde e ciências da vida.

Descrição

• Serve as a technical leader across engineering teams and product initiatives • Influence architectural direction while remaining actively engaged in software development • Design and implement scalable, secure, reliable, and high-performance enterprise software solutions • Partner with Engineering leadership to solve complex technical challenges • Champion practical AI-assisted software development practices across Engineering • Design and build AI-powered capabilities that improve developer productivity and customer value • Evaluate emerging AI technologies, including LLMs, AI agents, RAG, and agentic development workflows • Mentor engineers on responsible AI adoption, technical evaluation, and modern development practices • Write, review, test, and maintain high-quality production code • Lead complex development initiatives from design through production deployment • Troubleshoot critical production issues and deliver practical, sustainable solutions • Drive technical excellence across Java applications, APIs, microservices, and cloud-native architectures • Establish engineering practices that improve software quality, maintainability, and delivery • Identify technical debt and lead modernization initiatives • Improve application performance, scalability, reliability, and developer productivity • Champion automation, engineering excellence, and continuous learning • Prototype and evaluate technologies that strengthen AutoRABIT's enterprise platform • Mentor senior engineers and emerging technical leaders • Collaborate with Product Management, Architecture, Security, and DevOps teams • Translate complex technical concepts into actionable recommendations • Foster a culture of accountability, curiosity, collaboration, and execution

🎯 Requisitos

• 15+ years of professional software engineering experience delivering enterprise-scale applications • Expert-level proficiency in Java, modern software engineering practices, and distributed systems • Strong experience with Spring Boot, APIs, microservices, cloud-native development, and enterprise application architecture • Demonstrated hands-on experience using AI-assisted development tools to improve engineering productivity • Experience building AI-powered software products, integrations, or developer productivity solutions • Familiarity with Large Language Models, Retrieval Augmented Generation (RAG), AI agents, Model Context Protocol (MCP), or comparable AI technologies • Deep understanding of cloud platforms such as AWS or Azure, including modern cloud architecture and AI integration capabilities • Experience with CI/CD, DevSecOps, Kubernetes, containers, and Infrastructure as Code • Experience developing enterprise SaaS products, preferably within the Salesforce ecosystem • Demonstrated ability to diagnose and resolve complex technical and production issues • Experience mentoring senior engineers and leading technical initiatives across teams • Contributions to open source projects, technical publications, patents, or other demonstrated technical leadership • Excellent communication skills and ability to influence technical decisions without direct authority • Ability to collaborate effectively with globally distributed engineering teams while working remotely within the United States • Must live in and be eligible to work in the United States

🏖️ Benefícios

• Bonus • Fully remote work within the United States • Opportunity to work with talented engineers across a global organization • Opportunity to shape technical direction and accelerate AI adoption across Engineering

📊 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