Sr. Network Engineer – Network Observability
VisaHighlands Ranch, COPosted 11 April 2026
Job Description
As a Senior Network Observability Engineer specializing in Network Tools, you will play a critical role in ensuring the reliability and effectiveness of Visa’s global network monitoring and management platforms. This role is focused on engineering, administering, and optimizing commercial, off-the-shelf network monitoring, management, and automation solutions, while also leveraging automation frameworks, cloud-native architectures, and Generative AI (GenAI) to maximize operational uptime and efficiency. You will design and implement enhancements that fuse commercial software with in-house automation, enabling predictive analytics and automated incident response, as well as driving efficiency gains. Your expertise will allow you to develop and refine workflows that incorporate cloud scalability, AI-driven insights, and infrastructure-as-code, ensuring our monitoring and fault management platforms remain state-of-the-art. Collaboration is essential. You’ll partner closely with internal architecture, engineering, operations, and business teams to translate requirements into technical solutions that are both robust and innovative. Your role will be pivotal in guiding the transformation of Visa’s network monitoring and configuration management into highly automated and resilient infrastructures. We support teams that operate 24x7x365.  Our core objectives include:
Provide robust tooling solutions to help ensure network reliability, performance, and security compliance. Automating network monitoring operations to minimize manual intervention and reduce downtime. Providing actionable analytics and reporting to inform network strategy and troubleshooting. Collaborating with networking, security, and IT teams to address evolving infrastructure needs. Reducing incident volume and providing root cause via automated triage and event correlation. Integrating AI and GenAI into solutions to accelerate automation and improve diagnostics
This role will be responsible for:
Engineering and operating network monitoring and automation tools (e.g., NetBrain, SevOne, ITNM). Helping to design and implement enhancements that integrate commercial software with in-house applications and automation. Implementing predictive analytics and automated incident response. Providing root cause and reducing alert noise through event correlation. Supporting configuration audits and compliance reporting.
If you’re passionate about innovating at the intersection of vendor solutions and emerging technologies, and are ready to help transform Visa’s monitoring ecosystem, we invite you to join our Global Network Engineering Tools team.  This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Visa does not support immigration for this role. Visa will accept applications for this role until at least April 16, 2026.
 
Basic Qualifications:
2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
Preferred Qualifications
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) Hands-on expertise in programming and scripting using Python or similar languages, and automating workflows with infrastructure-as-code (Terraform, Ansible) and CI/CD pipelines. Strong proficiency with Linux operating systems in production environments Hands-on experience engineering, deploying, and operating vendor-purchased, off-the-shelf network monitoring solutions (e.g., SevOne, ITNM, Netscout, NetBrain). Strong skills in database management, including SQL and the integration of diverse data sources for comprehensive monitoring. Understanding of SNMP, syslog, and modern observability tools (Prometheus, Grafana, ELK), including their orchestration in hybrid on-prem/cloud environments. Proficiency in integrating monitoring solutions with cloud services (AWS, Azure, GCP). Pro ... (truncated, view full listing at source)
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