Role at a glance
- Job function
-
Software Engineering & IT Software Engineering
- Salary
- $163.3K – $261.6K/yr
- Location
- Austin, Texas, United States
- Work arrangement
- On-site
- Employment
- Full-time
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Role Summary
The Senior Manager, Software Engineering leads engineering teams that design, deliver, and operate large-scale distributed systems and software platforms. The role sets technical direction for platform engineering and AI-enabled development while partnering with product, business, and other teams on technology roadmaps and operational reliability.
What You'll Do
- Lead and grow teams responsible for scalable, resilient, and secure software platforms.
- Set technical strategy and oversee architecture, technology selection, and platform modernization across distributed systems,...
- Champion AI-assisted engineering practices and oversee adoption of AI tools, frameworks, and workflows.
- Partner with product and business leaders to translate strategic priorities into technology roadmaps and engineering initiatives.
- Establish engineering standards, metrics, and operational practices, and mentor engineers, architects, and engineering managers.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Basic qualification: 8+ years of relevant work experience and a bachelor's degree, or 11+ years of relevant work experience.
Preferred
- 9 or more years of relevant work experience with a Bachelor Degree, or 7 or more relevant years with an Advanced Degree (e.g., Masters,...
- 8+ years of relevant work experience and a Bachelor's degree, or 11+ years of relevant work experience.
- 10+ years of software engineering experience, including 3+ years leading engineering teams.
- Experience reviewing business requirements and developing technical documentation; designing and implementing testing procedures for...
- Experience building large-scale transaction-processing, e-commerce, fintech, payments, or highly regulated platforms.
- Experience implementing enterprise AI platforms and AI-powered developer productivity solutions; deep knowledge of Generative AI...
- Experience with AI-assisted software development platforms including Claude Code, Codex, GitHub Copilot, Cursor, and related technologies.
- A master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field is preferred.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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
We are seeking a highly technical and hands-on Senior Manager, Software Engineering to lead high-performing engineering teams responsible for designing, developing, and operating large-scale distributed systems. This role requires a technology leader who combines deep software engineering expertise with strong people leadership and extensive experience in Artificial Intelligence technologies, including Generative AI, Large Language Models (LLMs), AI Agents, Claude Code, Codex, GitHub Copilot, Retrieval-Augmented Generation (RAG), and modern AI-native development practices.
The ideal candidate is passionate about solving complex engineering challenges, scaling organizations, mentoring future leaders, and driving innovation through AI-powered software development. You will work closely with product, architecture, security, infrastructure, and business teams to create next-generation payment and commerce solutions that serve millions of users globally.
The Work Itself
- Lead and grow teams responsible for designing and delivering highly scalable, resilient, and secure software platforms operating at global scale.
- Drive technical strategy and execution across distributed systems, cloud-native architectures, APIs, AI-enabled platforms, and mission-critical payment systems.
- Build and cultivate a high-performance engineering culture focused on quality, operational excellence, innovation, and customer obsession.
- Architect and oversee the development of large-scale applications capable of supporting millions of daily transactions while meeting stringent availability and security requirements.
- Champion AI-first engineering practices by leveraging Generative AI, Agentic AI frameworks, LLMs, Claude Code, Codex, GitHub Copilot, and AI-powered SDLC automation.
- Partner with product and business leaders to define roadmaps and translate strategic priorities into executable engineering initiatives.
- Lead modernization efforts involving cloud platforms, microservices, event-driven architectures, MLOps, and AI infrastructure.
- Establish engineering metrics, delivery frameworks, and operational practices that improve velocity, quality, reliability, and developer productivity.
- Drive innovation through proof-of-concepts, experimentation, and adoption of emerging technologies that create measurable business value.
- Mentor engineers, architects, and engineering managers while fostering a culture of technical excellence and continuous learning.
- Lead cross-functional initiatives involving security, compliance, AI governance, resiliency, observability, and platform engineering.
- Influence organizational strategy through technology leadership, technical vision, and executive stakeholder engagement.
Essential Functions
- Provides strategic technology leadership and serves as the technical authority for large-scale application platforms and distributed systems.
- Leads teams through architecture design, technology selection, platform modernization, and enterprise-scale engineering initiatives.
- Establishes engineering standards, AI governance frameworks, and software development best practices across multiple teams.
- Drives adoption of AI-powered engineering tools and workflows to accelerate software delivery and improve developer experience.
- Evaluates, designs, and implements solutions utilizing Generative AI, Large Language Models, Agentic Frameworks, MCP, RAG, Vector Databases, and AI orchestration platforms.
- Partners with executive leadership, product management, and business stakeholders to align technology investments with strategic company objectives.
- Builds and executes long-term technology roadmaps while maintaining operational stability and service reliability.
- Leads technical reviews, architecture governance, and decision-making processes for mission-critical systems.
- Champions platform resiliency, security-by-design principles, compliance requirements, and operational excellence.
- Guides engineering organizations in building reusable frameworks, services, SDKs, and AI-enabled platform capabilities.
- Establishes key engineering KPIs related to availability, scalability, performance, quality, developer productivity, and business outcomes.
- Drives recruitment, talent development, succession planning, and leadership growth across engineering teams.
- Identifies emerging industry trends and evaluates opportunities to leverage new technologies for business transformation.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:
8+ years of relevant work experience and a Bachelors degree, OR 11+ years of relevant work experience
Preferred Qualifications:
- 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
- 8+ years of relevant work experience and a Bachelor's degree, OR 11+ years of relevant work experience.
- 10+ years of software engineering experience with 3+ years leading engineering teams.
- Experience in reviewing business requirements and developing technical documentation.
- Experience in designing and implementing testing procedures for APIs and integration patterns.
- Experience in participating in design reviews and providing input on product designs and schedules.
- Experience in leading teams to ensure productivity and high-quality delivery.
- Experience in code review and accountability for development/testing activities.
- Experience in technical evaluations and proof of concepts for new technologie.
- Experience building large-scale transaction processing, e-commerce, fintech, payments, or highly regulated platforms.
- Experience implementing enterprise AI platforms and AI-powered developer productivity solutions.
- Deep knowledge of Generative AI ecosystems, LLM operations, prompt engineering, RAG, vector databases, and AI agents.
- Experience with modern AI-assisted software development platforms including Claude Code, Codex, GitHub Copilot, Cursor, and related technologies.
- Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field preferred.
- Demonstrated track record of delivering large transformational initiatives that create measurable business impact.
- What Sets You Apart
- You are equally comfortable discussing distributed systems architecture with senior engineers, presenting technology strategy to executives, mentoring engineering managers, and rolling up your sleeves to prototype AI solutions. You thrive in environments where innovation, scale, AI transformation, and technical excellence converge to solve some of the world's most complex engineering challenges.
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.About the company
Visa
Large Enterprise
Visa is a global leader in digital payments, facilitating transactions between consumers, merchants, and financial institutions across more than 200 countries. Through its extensive network, Visa provides secure and reliable payment solutions that empower businesses and individuals to transact seamlessly anywhere in the world. With a strong focus on innovation, Visa continues to develop cutting-edge technologies that enhance the user experience and promote financial inclusion. As a trusted partner in the payments ecosystem, Visa plays a crucial role in driving economic growth and enabling commerce on a global scale.