Software Engineer - Sr. Consultant level - DevOps at Visa

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

04 Jun, 26

Salary

243700.0

Posted On

06 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

DevOps, Platform Engineering, Cloud Modernization, CI/CD, SRE, Generative AI Enablement, Infrastructure as Code, Kubernetes, Docker, Terraform, Observability, FinOps, DevSecOps, Cloud Architecture, Automation, Microservices

Industry

IT Services and IT Consulting

Description

Company Description 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 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 mission‑critical services used by millions of users and partners worldwide. As part of our organization, you will work on large-scale distributed systems, cloud-native platforms, and AI-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 a seasoned DevOps Leader who is strategic, hands-on, and forward-thinking, with deep expertise in cloud technologies, platform engineering, and Generative AI enablement. In this role, you will lead the evolution of our DevOps and platform engineering capabilities—driving cloud 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 of technology strategy, people leadership, and engineering execution. The Work Itself: Define and execute the DevOps and Platform Engineering strategy to support cloud-native, microservices, and AI-driven workloads at enterprise scale. Design and govern highly available, secure, and scalable cloud architectures that meet stringent reliability, performance, and compliance requirements. Lead the adoption of Infrastructure as Code (IaC), CI/CD pipelines, and automated release management to accelerate delivery while improving quality and stability. Champion Site Reliability Engineering (SRE) principles, including observability, error budgets, incident management, and continuous reliability improvement. Enable Generative AI and ML workloads by building and operating platforms that support model training, deployment, inference, and experimentation. Drive the integration of GenAI capabilities into 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 evolve platform standards, reference architectures, and reusable frameworks to 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 promoting cloud-first, automation-first, and AI-enabled operating models. Essential Functions: Provides strategic technical leadership for cloud infrastructure, DevOps tooling, CI/CD platforms, and operational practices. Establishes and governs DevOps, SRE, and cloud standards, ensuring alignment with security, compliance, and business objectives. Leads discussions with engineering and product leaders to define platform roadmaps and recommend scalable, cost-effective solutions. Evaluates, selects, and drives adoption of cloud services, DevOps tools, and GenAI platforms aligned to organizational needs. Designs and oversees end-to-end CI/CD pipelines, including build, test, security scanning, deployment, and rollback strategies. Implements observability and reliability frameworks, ensuring proactive detection, rapid response, and continuous improvement. Champions technology innovation, including proofs of concept (PoCs) for emerging tools and Generative AI use cases. Guides teams in building self-service platforms, reusable modules, and automation frameworks that improve developer experience. Ensures operational excellence through capacity 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 organization builds, deploys, and operates software in the cloud and AI era. You will directly influence platform scalability, developer productivity, operational resilience, and our ability to leverage Generative AI responsibly and effectively across 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. Qualifications 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 platforms such as AWS, Azure, or Google Cloud, including compute, storage, networking, IAM, and managed PaaS services. Advanced experience with Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, ARM, or Pulumi for automated, repeatable deployments. Proven proficiency in containerization and orchestration technologies, including Docker, Kubernetes, Helm, and Kubernetes Operators, with experience operating clusters at scale. Strong experience implementing and maintaining CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, or similar, integrated with artifact repositories and security scanning. Solid understanding of application runtime environments, including experience supporting Java/J2EE, Spring Boot, or other modern frameworks in cloud and containerized ecosystems. Expertise in API-based and event-driven architectures, including RESTful services, JSON/XML, and messaging/streaming platforms such as Kafka, with experience in installation, configuration, monitoring, and troubleshooting. Experience with observability and reliability engineering, including logging, monitoring, alerting, and tracing using tools such as Prometheus, Grafana, ELK/EFK, CloudWatch, or Azure Monitor. Strong knowledge of databases and data platforms, including RDBMS (Oracle, SQL Server, PostgreSQL) and NoSQL technologies (MongoDB, DynamoDB, Cassandra). Working knowledge of security best practices in cloud and DevOps, including IAM, secrets management, encryption, vulnerability scanning, and DevSecOps pipelines. Experience supporting AI/ML or GenAI workloads, including deploying and operating model-serving pipelines, MLOps platforms, or LLM-based applications in cloud environments. Proficiency with GenAI technologies, including experience integrating LLMs, AI APIs, vector databases, or AI-enabled automation into DevOps workflows. Strong foundation in cloud computing concepts, with a deep understanding of IaaS, PaaS, SaaS, and public, private, and hybrid cloud deployment models. Demonstrated ability to deliver highly reliable, scalable, and secure systems, with a strong commitment to quality, automation, and operational excellence. Ability to manage multiple priorities and deliver across concurrent initiatives in a fast-paced, evolving environment. Experience leading DevOps initiatives, mentoring engineers, or owning platform-level components is 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 with AWS, Azure, or Google Cloud, including IaaS, PaaS, and managed services. DevOps Mastery: Strong background in CI/CD, Infrastructure as Code, containerization, and orchestration (Docker, Kubernetes, Helm). AI & GenAI Enablement: Experience supporting AI/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 of DevSecOps, 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 in GenAI, 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. Additional Information 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 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. Job Family Group: Technology and Operations

Responsibilities

This role involves defining and executing the DevOps and Platform Engineering strategy to support cloud-native, microservices, and AI-driven workloads at enterprise scale, while leading the adoption of Infrastructure as Code and CI/CD excellence. The leader will champion Site Reliability Engineering principles and enable Generative AI workloads by building and operating supporting platforms.