VisaDirector, Platform Engineering
Visa is hiring a Director, Platform Engineering in Foster City, United States. It pays $219k-$351k a year and Level rates it ; you can apply on Visa.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include platform engineering, hybrid cloud and data governance.
- Level classifies it as an executive role.
- Level lists 826 other open roles at Visa.
AI in this role
Leads platform engineering strategy and infrastructure delivery for enterprise data, analytics, and AI ecosystems.
About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Job Description
Visa's Data Trust & Platform Engineering (DTPE) organization delivers the foundational platforms that power Visa's enterprise data, analytics, AI, and cloud ecosystem. DTPE is responsible for advancing secure, scalable, governed, and resilient data platform capabilities spanning hybrid-cloud infrastructure, compute, storage, streaming, orchestration, data governance, privacy, quality, and platform engineering services.
We are seeking a seasoned Director, Platform Engineering to lead a strategically important Platform Engineering organization based in Foster City. This leader will own execution, operational excellence, customer engagement, and technology strategy for a portfolio of mission-critical platform services that enable Visa's modern data and AI ecosystem.
As the senior DTPE engineering leader in Foster City, this role will act as the primary interface between platform engineering teams, data product organizations, architecture leaders, and executive stakeholders. The Director will drive platform modernization, hybrid-cloud adoption, engineering excellence, reliability, and operational maturity while building and leading high-performing engineering teams.
This position requires a strong blend of technical leadership, organizational influence, business acumen, customer obsession, and operational rigor.
Key Responsibilities:
Strategic Leadership
Define and execute the strategic roadmap for Platform Engineering aligned with Visa's enterprise data, AI, and hybrid-cloud transformation objectives.
Partner with senior leadership to shape long-term investment priorities, technology direction, and modernization initiatives.
Lead organizational planning, workforce strategy, succession planning, and engineering capability development.
Drive adoption of engineering best practices, automation, AI-assisted development, and platform self-service models.
Platform & Technology Leadership
Provide leadership for large-scale platform services supporting data, analytics, AI, and mission-critical enterprise workloads.
Drive modernization of platform architecture, cloud-native adoption, infrastructure automation, developer productivity, and platform reliability.
Establish engineering standards for scalability, resilience, observability, security, compliance, and cost efficiency.
Partner with architects and distinguished engineers to define technology roadmaps and future-state platform architectures.
Business & Stakeholder Engagement
Serve as the Foster City DTPE leader and primary point of engagement for US-based customers, partners, and engineering organizations.
Build strong partnerships across Data Platform, Product, Infrastructure, Security, Operations, and Architecture organizations.
Influence senior executives and stakeholders to align investments, priorities, and execution plans.
Represent DTPE in executive reviews, planning cycles, operational governance forums, and strategic transformation initiatives.
Engineering Delivery & Operational Excellence
Own delivery outcomes, service reliability, production readiness, and operational health for Platform Engineering services.
Drive measurable improvements in availability, performance, efficiency, developer experience, and platform adoption.
Lead incident management governance, operational reviews, risk management, and remediation programs.
Establish metrics-driven management practices centered on business outcomes, engineering productivity, and customer satisfaction.
Organizational Leadership
Lead and develop managers and senior engineering leaders.
Build a high-performing culture centered on accountability, innovation, inclusion, and technical excellence.
Drive talent acquisition, retention, leadership development, and organizational effectiveness.
Foster collaboration across geographically distributed teams spanning the US and India.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:
- 10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD
Preferred Qualifications:
- 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
- 12+ years of software engineering, infrastructure engineering, platform engineering, or data platform experience.
- 5+ years of leadership experience managing managers and engineering teams.
- Bachelor's degree in Computer Science, Engineering, or related field.
- Proven experience leading large-scale platform, infrastructure, cloud, or enterprise data engineering organizations.
- Strong background in distributed systems, cloud-native technologies, platform services, and operational excellence.
- Demonstrated success driving organizational transformation and technology modernization initiatives.
- Experience leading hybrid-cloud platform strategies and enterprise-scale modernization programs.
- Deep understanding of data platforms, AI infrastructure, analytics platforms, governance, and platform engineering disciplines.
- Experience building customer-centric platform organizations with strong service-oriented operating models.
- Knowledge of Kubernetes, distributed compute, storage systems, data infrastructure, observability, and reliability engineering.
- Demonstrated executive presence and ability to influence VP and SVP-level stakeholders.
- Master's degree in Computer Science, Engineering, or Business preferred.
- Leadership Expectations
- Strategic Enterprise Thinking
- Organizational Leadership & Change Management
- Technology Vision and Innovation
- Customer-Centric Mindset
- Executive Communication
- Data-Driven Decision Making
- Talent Development and Coaching
- Cross-Functional Influence and Collaboration
Information for US Applicants
Work Hours
Varies upon the needs of the department.
Travel Requirements
This position requires travel 5-10% of the time.
Mental/Physical Requirements
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.How we rate this
Director, Platform Engineering at Visa rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where platform engineering was part of your work. What did you do?
- Tell me about a project where hybrid cloud was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where infrastructure was part of your work. What did you do?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Platform Engineering, Hybrid Cloud, Data Governance, and Infrastructure. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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