Distinguished Software Engineer

🕒 il y a 1 jour

🇺🇸 États-Unis – Télétravail

💵 $265 000 - $295 000 / an

⏰ Temps Plein

🟠 Senior

🔴 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

📦 Logistique

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

• Influence engineering strategy across products and teams • Define long-term technical direction, architectural principles, and engineering standards • Identify and solve complex technical challenges spanning teams, products, and platforms • Partner with the VP of Engineering, CTO, and senior leaders to align technical investments with business priorities • Evaluate technical decisions, platform investments, and modernization initiatives • Drive adoption of AI technologies across products, engineering productivity, and customer outcomes • Architect, develop, and deliver AI-powered product capabilities and intelligent automation solutions • Lead initiatives involving LLMs, RAG, AI agents, MCP, and agentic workflows • Establish standards for AI-assisted software development, including code quality, security, validation, and responsible use • Evaluate emerging AI technologies and determine measurable value • Mentor engineering teams on AI implementation and evaluation methods • Write, review, test, and deploy production code • Lead design and implementation of complex, business-critical software capabilities • Serve as technical escalation point for difficult engineering and production challenges • Drive engineering excellence across Java, Spring Boot, APIs, microservices, distributed systems, and cloud-native platforms • Build reference implementations, prototypes, and foundational components • Ensure scalability, security, reliability, performance, and maintainability • Guide evolution of enterprise SaaS architecture and lead modernization initiatives • Establish reusable engineering patterns, frameworks, and standards • Improve platform performance, resilience, observability, and operational efficiency • Champion automation, CI/CD, DevSecOps, testing, and modern software development practices • Use engineering metrics and measurable outcomes to evaluate improvements • Advise Engineering, Product, Architecture, Security, and Executive Leadership • Mentor Principal Engineers, senior developers, architects, and emerging technical leaders • Lead technical discussions and influence decisions across the organization • Communicate complex engineering concepts to technical and nontechnical stakeholders • Foster collaboration, technical excellence, innovation, and ownership across globally distributed teams

🎯 Exigences

• 15+ years of professional software engineering experience • Proven experience operating as a Distinguished Engineer, Principal Engineer, Staff Engineer, Chief Architect, or equivalent senior technical individual contributor • Exceptional hands-on expertise in Java, Spring Boot, distributed systems, microservices, APIs, and enterprise application architecture • Deep experience designing and delivering highly scalable, secure, and reliable enterprise SaaS platforms • Demonstrated success leading major technical initiatives spanning multiple engineering teams or product areas • Proven experience building and delivering AI-powered software capabilities in production environments • Strong practical experience with AI-assisted software development tools and modern AI engineering workflows • Experience with Large Language Models, RAG, AI agents, MCP, or comparable AI frameworks • Deep understanding of AWS or Azure, including cloud architecture, distributed systems, and AI integration capabilities • Extensive experience with CI/CD, DevSecOps, Kubernetes, containers, and Infrastructure as Code • Strong understanding of enterprise security, application performance, reliability, and operational excellence • Demonstrated ability to resolve highly complex technical challenges and critical production issues • Experience influencing architectural direction and technical standards across multiple teams • Proven ability to mentor senior technical contributors and elevate engineering capabilities • Exceptional communication skills and ability to influence executive and technical stakeholders • Track record of translating technical innovation into measurable product, engineering, or business outcomes • Demonstrated technical leadership through major engineering contributions, open source projects, publications, patents, industry recognition, or equivalent achievements • Preferred: experience with Salesforce technologies, APIs, metadata, DevOps workflows, or enterprise applications built for the Salesforce ecosystem • Preferred: experience developing DevSecOps platforms, CI/CD tooling, release automation, or data protection solutions • Preferred: experience introducing AI-powered capabilities or agentic workflows into enterprise software products • Preferred: experience guiding major architectural modernization initiatives • Preferred: experience working in highly regulated industries or security-sensitive enterprise environments • Preferred: experience collaborating with globally distributed engineering and product teams • Must live in and be eligible to work in the US

🏖️ Avantages

• Bonus • Remote work

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