Software Engineer - Sr. Consultant level - DevOps at Visa

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.