workday
Posted 1 day ago
Director, Software Engineering
Job description
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. Visa will accept applications for this role until at least 11-30-2026 Job Description We are seeking a Director of Software Engineering who combines strategic leadership with strong technical depth. This role leads multiple engineering teams while maintaining hands-on involvement in architecture decisions, technical reviews, and proof-of-concepts. You will drive engineering excellence, influence technology strategy, and ensure delivery of scalable, secure solutions that impact millions globally.
Essential Functions
Lead and inspire engineering teams, fostering a culture of innovation and accountability Guide architecture decisions, review critical components, and contribute to proof-of-concepts Collaborate with Product and Architecture leaders to define technology roadmaps Establish processes for code quality, automation, and operational excellence Hire, mentor, and retain top engineering talent Champion adoption of emerging technologies (AI/ML, GenAI, cloud-native architectures) Drive measurable improvements in engineering efficiency and system performance This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic
Qualifications
• 10+ years of relevant work experience and a Bachelors degree, OR 13+ years of relevant work experience
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 • Solid understanding of Large Language Models, Generative AI systems and applications. • Background in developing and deploying AIML platforms and applications in on premises and public cloud infrastructure. • Have prior hands-on experience using languages such as Python, Go, Java, Python, Rust. Strong on coding and code reviews. •
Experience
in leading teams that have built full stack applications from the ground-up using distributed high performance and scalable technologies such as K8s, Docker, Ray, Airflow, Hadoop, Spark, Kafka and so on. •
Experience
in leading teams that have built cloud platform solutions using AWS, Azure and GCP for high performance real time AIML applications •
Experience
in DevSecOps world - Github/Git, CI/CD Pipelines, Jenkins, Ansible, Shell Scripts, Security Tools, Observability, Alerting, IaC etc. Skills You’ll Bring: • Strategic leadership with a proven ability to manage multiple teams and large-scale programs • Deep technical expertise in modern architectures (microservices, cloud-native), security engineering, and API platforms • Strong understanding of agile methodologies and software development lifecycle principles • Ability to influence senior stakeholders and drive organizational change •
Experience
balancing hands-on technical involvement with leadership responsibilities • Excellent problem-solving, communication, and collaboration skills • Payments industry experience is a plus Information for US Applicants For roles located in the US, the estimated salary range for this position is $186,800.00 to $ 299,200.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. 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. If you thrive on rapid growth and enjoy working alongside positive, driven teammates, you’ll feel right at home here. Help us to uplift everyone, everywhere. Whether you’re starting your career, pushing your capabilities or are a seasoned professional, learn how we can partner to reimagine the world. Introduce yourself to our recruiters and we'll get in touch if there's a role that seems like a good match. At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Our evolving technology keeps us at the heart of the digital economy, connecting people to 80+ million businesses worldwide. Backed by a resilient, proven model, our expanding network fuels growth—for Visa and for your career. Your journey starts here — discover how we hire Ready to take the next step? Learn more about life at Visa, explore our hiring process and get first-hand insights by hearing directly from our recruiters about what to expect. Apply with confidence today! Learn our recruiting process
Skills and functions
- Airflow
- Aws
- Azure
- Gcp
- Kafka
- Kubernetes
- Python
- Software Engineering
- Spark