Senior Associate, Solutions Designer

Visa•Austin, TX

2d•Hybrid

About The Position

You will be part of a dynamic team of solution engineers who deliver, integrate & architect highly available and scalable infrastructure solutions for on-prem and public clouds, focused on Kubernetes, cloud technologies and automation skills. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to drive next-generation solution design and architecture.

Requirements

2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)
5 or more years of relevant work experience in systems architecture, engineering or development including experience in cloud automation frameworks, Hybrid cloud infrastructure deployments with a bachelor’s degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD
Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.)
Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems
Experience applying AI to solve engineering challenges and converting business processes into automated agentic workflows
Experience in designing, building, and running production systems in cloud or migrating to the cloud and or containers, practicing infrastructure as code, automated testing, and automating infrastructure tasks
Automation championing through robust automation using Python, Java, and Go to streamline end-end delivery of automated application deployment
Best in class Software Developer including Continuous Integration and Continuous Deployment (CICD) pipeline tools such Jenkins and proficient in git
Solid understanding of Linux/Unix systems, networking protocols, certificate management, secret management, system design, cloud platforms (AWS, Azure, GCP), and containerization (Kubernetes, Docker)
Experience with cloud platforms (AWS, Azure, GCP) and modern architectures
Knowledge of API design, microservices, and distributed systems
Demonstrated experience with hands-on Infrastructure as Code (IaC) development and deployment in Hybrid Cloud (AWS, Azure and GCP) deployments
Knowledge of AI/ML and Generative AI algorithms, and their architectural design
Proficient with container deployments and troubleshooting in Kubernetes environments

Nice To Haves

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)

Responsibilities

Develop and architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem
Develop integrations with AI/ML frameworks, chatbots, and agents to enhance automation
Lead technical initiatives leveraging agentic AI, LLMs to automate workflows and improve developer experience
Deliver secure, highly available and scalable infrastructure solutions through automation
Experienced with docker, container and Kubernetes for container orchestration
Hands-on experience in driving the design and implementation of solutions on one of the major public clouds, such as AWS, GCP, Azure with expertise in assessing, developing or migrating well architected applications for containers and cloud
Design and build using infrastructure as code and automated testing
Develop standard automation templates for deployment of public cloud infrastructure and platform components