As a member of the Infrastructure Reliability Engineering team – You are responsible to manage a team of system engineers who focused on Kubernetes, microservices architecture, and cloud technologies. As part of this self-driven team, you will support critical container Infrastructure and ensure the stability of services by performing dedicated maintenance activities. You engage in automation activities, perform root cause analysis (RCA), and remediation. Knowledge of production support process including incident/change/problem management, call triaging, and critical issue resolution procedures.
Essential Functions:
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
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
Minimum Bachelor's degree in Engineering, or Computer Science, Information Systems, or related field
Minimum Eight (8) years of directly related experience.
In-depth knowledge of IT infrastructure, observability tools, data analytics, and incident management processes.
Minimum 5 years of experience in System Administration
At least 5 years in the Container and Cloud (AWS & GCP) with a focus on DevOps and service-based systems engineering.
Minimum 4 years hands-on experience with Kubernetes (on internals architecture of K8s).
Minimum 2 years of experience with AWS /GCP
Minimum 3 years of Scripting experience (Shell, Python, Ansible, Terraform and YAML packages)
Minimum 2 years of experience with Microservices based applications traffic routing (i.e., Istio ServiceMesh)
Experience with configuration management tools (Chef, Ansible, terraform etc.) is must.
Working with tools surrounding the Kubernetes ecosystem such as helm, kubeadm, CSI, CNI etc. is must.
Experience with CI/CD or GitOps pipeline Architecture (i.e., ArgoCD, Code Fresh, Jenkins) is must.
Working knowledge of monitoring and logging tools: Prometheus, Graphana, Fluentbit ,Netcool, Humio
Exposure to AI platforms (OpenAI, Claude) or interest in AI-driven automation for Container operations.
Deep understanding of networking concepts
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.
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Visa Inc. is a global payments technology company that connects consumers, businesses, financial institutions, and governments in more than 200 countries and territories to fast, secure and reliable electronic payments. We operate one of the world's most advanced processing networks - VisaNet - that is capable of handling more than 65,000 transaction messages a second, with fraud protection for consumers and assured payment for merchants. Visa is not a bank and does not issue cards, extend credit or set rates and fees for consumers. Visa's innovations, however, enable its financial institution customers to offer consumers more choices: pay now with debit, pay ahead with prepaid or pay later with credit products. For more information, visit usa.visa.com/about-visa, visacorporate.tumblr.com and Visaeurope.com
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