Vice President, Software Engineering

🕒 July 22

🇺🇸 United States – Remote

💵 $225k - $325k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Experian

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

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