Vice President, Software Engineering

🕒 il y a 16 jours

🇺🇸 États-Unis – Télétravail

💵 $225 000 - $325 000 / an

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

info

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of Experian

Experian

10 000+ employés

Fondée en 1996

💼 Conseil

📣 Marketing

📦 Logistique

Consulting • Marketing • Logistics

Experian libère le pouvoir des données pour créer des opportunités pour les consommateurs, les entreprises et la société.\n\nLors des grands moments de la vie - que ce soit pour acheter une maison ou une voiture, envoyer un enfant à l'université, ou faire croître une entreprise de manière exponentielle en la connectant à de nouveaux clients - nous donnons aux consommateurs et à nos clients les moyens de gérer les données en toute confiance afin qu'ils puissent maximiser chaque opportunité.

Description

• Define and drive the long-term engineering vision, strategy, and roadmap • Partner with executive leadership to align technology initiatives with business objectives • Evaluate emerging technologies and translate them into measurable business value • Oversee end-to-end software development lifecycle including architecture, development, testing, release, and operations • Ensure delivery of high-quality, scalable, secure, and reliable software systems • Establish and monitor engineering KPIs (velocity, quality, uptime, cost efficiency) • Drive architectural decisions, platform strategy, and technology standards • Ensure modern engineering practices (cloud-native, microservices, DevOps, CI/CD, AI integration where relevant) • Build, lead, and scale high-performing engineering teams across multiple disciplines while fostering an AI-first culture emphasizing continuous learning and upskilling

🎯 Exigences

• 15+ years of software engineering experience with at least 5+ years in senior leadership roles • Proven track record of leading distributed engineering teams in US and overseas • Experience delivering complex, enterprise-scale or high-growth SaaS platforms with high availability, scalability and performance (SLA & RTO) • Experience developing AI-enabled customer-facing products or integrating AI capabilities into enterprise applications • Experience in setting up framework to establish delivery predictability and cycle time improvements • Knowledgeable about FinOps for cloud cost efficiency and ROI on capital investments • Strong background in modern software architectures (AWS, APIs, MCPs) • Experience with DevOps, CI/CD pipelines, and agile methodologies • Understanding of Generative AI, LLMs, AI application architecture, integrating AI services, and responsible AI practices/governance • Experience in B2B frontend UI, backend microservices and batch job development • Knowledgeable about REST, Node.js, React, Python, Terraform, AWS RDS

🏖️ Avantages

• Flexible time off including unlimited vacation • Volunteer time off • 12 paid holidays • Core benefits including medical, dental, vision, and matching 401K

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