About the role
What will you do at Visa?
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
IaaS Systems and Storage &
Engineering (ISSE) team is part of the Operations & Infrastructure technology
organization. Our vision, mission and purpose are summarized as following,
Vision - Deliver best-in-class Infrastructure on demand everywhere. Mission -
Engineer and build reliable and secure infrastructure for all type of workloads
in Private/ Hybrid Cloud, utilizing open and innovative technologies at the
right unit cost. Purpose - increase innovation velocity of developers and reduce
infrastructure maintenance overhead These are the guiding principles for the
important work we do every day and build toward the overall vision of Visa - The
best way to pay and be paid for everyone, everywhere. You will be part of a team
of systems DevOps engineers/architects who adopt, integrate & engineer industry
leading technologies and management solutions for the container platform,
focusing on Kubernetes, microservices architecture, and cloud technologies. The
candidate should have experience in deploying infrastructure solutions on one of
major public clouds such as AWS, GCP & Azure. Familiarity with the philosophy of
DevOps and experience in infrastructure as code and automation at scale is a
must. The candidate will also establish, promote, and provide standard
foundational services for Visa's public cloud implementation, closely working
with stakeholders to craft and implement solutions with robust security posture,
deliver functions with optimized cost, and enhance developer productivity.
Essential Functions Collaborate with cross-function teams to design, implement,
and maintain secure, scalable, and automated cloud infrastructure solutions
supporting enterprise-scale systems. Utilize deep knowledge of AWS, Azure, and
GCP to guide infrastructure design decisions aligned with performance, cost, and
security goals. Drive adoption of Infrastructure as Code (IaC) and DevOps
methodologies to enable consistent, repeatable deployments and greater
operational efficiency. Develop and manage standard foundational services for
the enterprise cloud environment, improving reliability, observability, and cost
optimization. Ensure availability, resilience, and security of mission-critical
applications hosted in cloud environments. Collaborate across engineering,
security, and operations teams to mature the cloud ecosystem, integrating
logging, monitoring, configuration management, and orchestration tools. Define,
document, and implement enterprise standards and best practices for cloud
infrastructure provisioning, automation, and compliance. Create and maintain
reusable IaC modules and CI/CD pipeline templates to advance platform
consistency and governance. Standardize and harden container orchestration
platforms, delivering Kubernetes-as-a-Service with automated scaling and high
availability. Integrate cloud monitoring, APM, and SIEM tools to enhance
observability, proactive alerting, and security compliance. Partner with vendors
and internal stakeholders to ensure infrastructure meets business, compliance,
and security requirements. Provide technical guidance and mentorship to peers
and cross-functional teams on cloud design, automation, and operational
practices. Support the integration of AI and data-intensive workloads into
enterprise cloud environments, focusing on performance optimization and scalable
automation This is a hybrid position. Expectation of days in the 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 • 2+ years of relevant work experience and a
- Bachelors degree, OR 5+ years of relevant work experience Preferred
Qualifications
- • 3 or more years of work experience with a Bachelor’s Degree or
- more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA,
- JD, MD) • Bachelor’s Degree in Computer Science, Information Systems,
- Engineering, or a related technical discipline. • Minimum of 3 years of
- professional experience in cloud infrastructure engineering, DevOps, or site
- reliability engineering (SRE). • Strong knowledge of operating systems
- (Linux/UNIX and Windows Server) and scripting languages such as Python, Bash, or
- PowerShell.
Preferred Qualifications
- • Proven hands-on experience designing,
- deploying, and automating infrastructure in major public cloud environments,
- primary (AWS, Azure, GCP). • Deep understanding of core cloud services including
- networking, compute, storage, and databases, with experience in multi-account
- and multi-region configurations. • Proficiency with Infrastructure as Code (IaC)
- frameworks such as Terraform, Pulumi, or CloudFormation and configuration
- management tools like Ansible. • Practical experience implementing and
- maintaining CI/CD pipelines using Jenkins, GitHub Actions, or comparable tools.
- • Demonstrated ability to design and manage containerized applications and
- Kubernetes orchestration environments, including GitOps workflows using ArgoCD.
- • Hands-on experience deploying and monitoring applications with CloudWatch,
- Azure Monitor, GCP Operations Suite, Prometheus, and Grafana. • Working
- knowledge of enterprise security best practices, including CIS Benchmarks, IAM
- policies, vulnerability scanning, and compliance frameworks. • Experience
- integrating or supporting AI agents within cloud-native applications, including
- workflow orchestration and tool-calling patterns. • Exposure to Model Context
- Protocol (MCP) concepts or similar approaches for securely connecting AI agents
- to enterprise tools, APIs, and data sources. • Familiarity with agentic
- frameworks (e.g., LangChain, LlamaIndex, or similar) for building multi-step,
- tool-using AI systems. • Professional Attributes • Excellent analytical and
- problem-solving skills with the ability to work independently and
- collaboratively. • Strong communication and documentation capabilities, with
- attention to clarity and technical precision. • High initiative, adaptability,
- and commitment to continuous learning in cloud, DevOps, and AI technologies. •
- Proven ability to operate effectively in an enterprise environment balancing
- agility, compliance, and innovation. U.S. Applicants Only The estimated salary
- range for this position is $110,700.00 to $ 171,800.00 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
Which skills does this role require?
Make your next move
Build a shortlist and prepare
Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.
- Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
- Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.
Other roles to compare
Review the responsibilities and requirements before adding an opening to your shortlist.
AI Solutions Engineer
Vantage Bank · Fort Worth, Texas, United States
VP – Distinguished Engineer of Generative AI Engineering
Slate Auto · United States
AI Workflow Engineer
Scout Motors Inc. · Charlotte, North Carolina, United States
AI Solutions Engineer
Superior Essex · Sandy Springs, Georgia, United States
Automation Engineer, CGIC & BD AI Automation
Quantum Sky · Reston, Virginia, United States
AI Integration Engineer (Hybrid)
DXC Technology · Arlington, Virginia, United States
Role information can change. Confirm current details on the original application page.
