Principal Software Engineer

🕒 il y a 1 jour

🇺🇸 États-Unis – Télétravail

💵 $210 000 - $235 000 / an

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 1%

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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AutoRABIT

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51 - 200 employés

💼 Conseil

🏥 Santé

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Consulting • Healthcare • Logistics

AutoRABIT est une entreprise spécialisée dans les solutions DevSecOps automatisées spécifiquement pour les environnements Salesforce. Elle offre une variété de produits et services visant à améliorer la sécurité, la conformité et la productivité des équipes d'entreprise utilisant Salesforce. Ceux-ci incluent la gestion automatisée des versions, la protection des données, l'analyse statique de code et les outils d'analyse visuelle. Les solutions d'AutoRABIT sont conçues pour soutenir des réglementations strictes en matière de sécurité des données et garantir la qualité des versions d'applications. Les offres de la société sont conçues pour fournir une automatisation approfondie et une visibilité sur le pipeline DevOps Salesforce, répondant aux industries telles que la banque, la santé et les sciences de la vie.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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

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