Software Engineer - Sr. Consultant level - DevOps

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.

About the Organization:

Our Technology Organization is a global community of problem solvers and innovators shaping the future of digital platforms and intelligent systems. We operate highly scalable, secure, and resilient cloud ecosystems that support missioncritical services used by millions of users and partners worldwide.

As part of our organization, you will work onlarge-scale distributed systems,cloud-native platforms, andAI-enabled services, solving complex challenges in reliability, automation, security, and developer productivity. Your work will directly influence how modern cloud and GenAI-powered platforms are designed, deployed, and operated at enterprise scale.

The Opportunity

We are seeking aseasoned DevOps Leaderwho isstrategic, hands-on, and forward-thinking, with deep expertise incloud technologies, platform engineering, and Generative AI enablement.

In this role, you will lead the evolution of our DevOps and platform engineering capabilities-drivingcloud modernization, CI/CD excellence, operational resilience, and AI-assisted automation. You will partner closely with Engineering, Product, Security, and Data teams to enable faster, safer, and smarter delivery of software at scale.

This is a high-impact leadership role for someone who thrives at the intersection oftechnology strategy, people leadership, and engineering execution.

The Work Itself:

• Define and execute theDevOps and Platform Engineering strategyto support cloud-native, microservices, and AI-driven workloads at enterprise scale.
• Design and governhighly available, secure, and scalable cloud architecturesthat meet stringent reliability, performance, and compliance requirements.
• Lead the adoption ofInfrastructure as Code (IaC),CI/CD pipelines, andautomated release managementto accelerate delivery while improving quality and stability.
• ChampionSite Reliability Engineering (SRE)principles, including observability, error budgets, incident management, and continuous reliability improvement.
• EnableGenerative AI and ML workloadsby building and operating platforms that support model training, deployment, inference, and experimentation.
• Drive the integration ofGenAI capabilitiesinto DevOps workflows (e.g., AI-assisted monitoring, incident response, pipeline optimization, and developer productivity).
• Partner cross-functionally with Engineering, Security, Product, and Data teams to ensure DevSecOps best practices are embedded across the software lifecycle.
• Establish and evolveplatform standards, reference architectures, and reusable frameworksto improve consistency and reduce operational friction.
• Lead, mentor, and grow high-performing DevOps and platform engineering teams, fostering a culture of ownership, learning, and innovation.
• Influence organizational change by promotingcloud-first, automation-first, and AI-enabled operating models.

Essential Functions:

• Providesstrategic technical leadershipfor cloud infrastructure, DevOps tooling, CI/CD platforms, and operational practices.
• Establishes and governsDevOps, SRE, and cloud standards, ensuring alignment with security, compliance, and business objectives.
• Leads discussions with engineering and product leaders todefine platform roadmapsand recommend scalable, cost-effective solutions.
• Evaluates, selects, and drives adoption ofcloud services, DevOps tools, and GenAI platformsaligned to organizational needs.
• Designs and overseesend-to-end CI/CD pipelines, including build, test, security scanning, deployment, and rollback strategies.
• Implementsobservability and reliability frameworks, ensuring proactive detection, rapid response, and continuous improvement.
• Championstechnology innovation, including proofs of concept (PoCs) for emerging tools andGenerative AI use cases.
• Guides teams in buildingself-service platforms, reusable modules, and automation frameworksthat improve developer experience.
• Ensures operational excellence throughcapacity planning, cost optimization (FinOps), incident postmortems, and resilience testing.
• Keeps abreast of emerging cloud, DevOps, and AI trends and translates them into actionable platform improvements.

Why This Role Matters:

This role is pivotal in shaping how our organizationbuilds, deploys, and operates software in the cloud and AI era. You will directly influence platform scalability, developer productivity, operational resilience, and our ability to leverageGenerative AI responsibly and effectivelyacross the enterprise.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Visa is not offering relocation assistance for this role.

Basic Qualifications:

8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, 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

Strong background in CI/CD-driven DevOps practices, supporting n-tier and microservices-based architectures across development, staging, and production environments.

Hands-on expertise with major cloud platformssuch asAWS, Azure, or Google Cloud, including compute, storage, networking, IAM, and managed PaaS services.

Advanced experience with Infrastructure as Code (IaC)using tools such asTerraform, CloudFormation, ARM, or Pulumifor automated, repeatable deployments.

Proven proficiency in containerization and orchestration technologies, includingDocker, Kubernetes, Helm, and Kubernetes Operators, with experience operating clusters at scale.

Strong experience implementing and maintaining CI/CD pipelinesusing tools such asJenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, or similar, integrated with artifact repositories and security scanning.

Solid understanding of application runtime environments, including experience supportingJava/J2EE, Spring Boot, or other modern frameworksin cloud and containerized ecosystems.

Expertise in API-based and event-driven architectures, includingRESTful services,JSON/XML, andmessaging/streaming platformssuch asKafka, with experience in installation, configuration, monitoring, and troubleshooting.

Experience with observability and reliability engineering, includinglogging, monitoring, alerting, and tracingusing tools such asPrometheus, Grafana, ELK/EFK, CloudWatch, or Azure Monitor.

Strong knowledge of databases and data platforms, includingRDBMS(Oracle, SQL Server, PostgreSQL) andNoSQLtechnologies (MongoDB, DynamoDB, Cassandra).

Working knowledge of security best practices in cloud and DevOps, includingIAM, secrets management, encryption, vulnerability scanning, and DevSecOps pipelines.

Experience supporting AI/ML or GenAI workloads, including deploying and operatingmodel-serving pipelines,MLOps platforms, orLLM-based applicationsin cloud environments.

Proficiency with GenAI technologies, including experience integratingLLMs, AI APIs, vector databases, or AI-enabled automationinto DevOps workflows.

Strong foundation in cloud computing concepts, with a deep understanding ofIaaS, PaaS, SaaS, andpublic, private, and hybrid cloud deployment models.

Demonstrated ability to deliver highly reliable, scalable, and secure systems, with a strong commitment toquality, automation, and operational excellence.

Ability to manage multiple priorities and deliver across concurrent initiativesin a fast-paced, evolving environment.

Experience leading DevOps initiatives, mentoring engineers, or owning platform-level componentsis highly desirable.

Excellent communication, collaboration, and stakeholder engagement skills, including the ability to present technical concepts to both technical and non-technical audiences.

Proven experience working in Agile/Scrum environments, actively participating in sprint planning, reviews, retrospectives, and continuous improvement efforts.

The Skills You Bring:

Leadership & Vision:Proven experience leading DevOps, SRE, or Platform Engineering teams in complex, enterprise environments.

Cloud Expertise:Deep hands-on and architectural experience withAWS, Azure, or Google Cloud, including IaaS, PaaS, and managed services.

DevOps Mastery:Strong background inCI/CD, Infrastructure as Code, containerization, and orchestration(Docker, Kubernetes, Helm).

AI & GenAI Enablement:Experience supportingAI/ML or Generative AI workloads, including model deployment, inference platforms, or AI APIs.

Builder Mindset:Demonstrated success building scalable platforms, automation frameworks, and developer enablement tools.

Security-First Thinking:Strong understanding ofDevSecOps, IAM, secrets management, compliance, and secure cloud architectures.

Change Agent:Comfortable challenging the status quo and driving cultural transformation toward automation and cloud-native practices.

Learner:Continuous curiosity to explore emerging technologies, especially inGenAI, platform engineering, and cloud optimization.

Collaboration:Strong partnership skills, working effectively with Product, Engineering, Security, Data, and Agile/Scrum teams.

Communication:Excellent ability to articulate complex technical concepts to executive, technical, and non-technical stakeholders.

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel5-10% 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 protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for this position is 152,200.00 to 243,700.00 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.