Senior Cloud Infrastructure Systems Engineer

Visa•Ashburn, VA

1d•Hybrid

About The Position

The IaaS Systems and Storage & Engineering (ISSE) team, part of Visa's Operations & Infrastructure technology organization, aims to deliver best-in-class infrastructure on demand everywhere. Their mission is to engineer and build reliable and secure infrastructure for all types of workloads in Private/Hybrid Cloud, utilizing open and innovative technologies at the right unit cost, thereby increasing innovation velocity for developers and reducing infrastructure maintenance overhead. This role is for a systems DevOps engineer/architect within this team, focusing on adopting, integrating, and engineering industry-leading technologies and management solutions for container platforms, specifically Kubernetes, microservices architecture, and cloud technologies. The candidate will be involved in deploying infrastructure solutions on major public clouds like AWS, GCP, and Azure, and must be familiar with DevOps philosophy, infrastructure as code, and automation at scale. The position also involves establishing, promoting, and providing standard foundational services for Visa's public cloud implementation, collaborating with stakeholders to create secure and cost-optimized solutions, and enhancing developer productivity. This is a hybrid position.

Requirements

2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
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.

Nice To Haves

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

Responsibilities

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.