Post a Job
Divya Kannan
Divya Kannan

QA Automation Engineer

Open to offers · Member since 21 Oct 2026
Message
Location
Saltillo, Mexico
Desired salary
Unspecified
Work preference
Hybrid
Experience level
Mid

About

Professional summary

I am a QA Automation Engineer with over four years of experience in manual and Python-based automation testing for network software. I specialize in regression validation, test planning, defect management, and ensuring stable, high-quality releases.

I have extensive experience testing Cisco N9000v virtualized environments across VMware ESXi, KVM, and Vagrant platforms. My work includes validating virtualization features, customer-reported issues, routing protocols, and open-config capabilities.

I use Python and the Cisco pyATS framework to develop and integrate automated test scripts into regression pipelines. I have also worked with YANG, NETCONF, gNMI, Jenkins, Git, and network security testing tools.

I have led small cross-functional and integration teams, collaborating with product, development, documentation, and engineering teams to achieve complete test coverage and deliver customer-focused features. I am experienced in reviewing functional specifications, raising actionable defects, and validating fixes.

Earlier in my career, I trained in cloud and DevOps technologies including AWS, GCP, Docker, Kubernetes, Terraform, Ansible, and PostgreSQL. I also bring customer support experience, with strong communication and issue-resolution skills.

Skills

24 capabilities
BGPCloud ComputingCross Functional CollaborationCustomer SupportDevOpsEnd To End TestingFunctional TestingFuzz TestingGNMIISISManual TestingOpenConfigOSPFPyATSPythonQuality AssuranceRegression TestingRIPSecurity TestingTechnical DocumentationTest AutomationTest PlanningVulnerability TestingYANG

Tech stack & tools

Working toolkit

Application Hosting

Jenkins

Data Stores

PostgreSQL

Development

AnsibleDockerGitKubernetesTerraformVagrant

Experience

Career history

Software Engineer II Cisco Systems

Performed manual and Python-based automation testing and regression validation to ensure network software stability across product releases. Participated in functional specification and design reviews, provided enhancement feedback, and led test planning for new feature requirements.

Tested Cisco N9000v virtualized environments end to end across ESXi OVA, KVM QCOW2, and Vagrant Box deployments. Delivered and validated virtualization capabilities, including reduced-memory configurations for Google G-Research, and supported customer issue reproduction and fix validation through CAP cases.

Led a four-person cross-OS team validating vulnerabilities across Cisco NX, ACI, XE, and XR routing components. Built development testbeds, tested RIP configuration replace and DMEization initiatives, validated YANG, NETCONF, and gNMI open-config features, and managed defect reporting through closure.

Software Engineer I Cisco Systems

Integrated Python and Cisco pyATS automation scripts into regression pipelines to improve test coverage and execution efficiency. Led a five-person integration team and pushed automated test scripts to Git.

Raised PSIRT vulnerability defects using Synopsys Defensics fuzz testing for BGP and ISIS on Cisco N9000 data center platforms. Executed cross-functional vulnerability testing for Cisco XE enterprise and Cisco XR service-provider routers and switches.

Manually validated and automated virtualization features, including Vagrant automation and hardware emulations for Google GDCH. Also validated customer-found OSPF, tunnel, and non-component virtualization issues using VMware ESXi, VMware vCenter, Cisco Xpresso, and Jenkins.

Trainee Software Engineer Kloudone

Completed training in Python, PostgreSQL, and DevOps technologies. Built foundational knowledge of Docker, Kubernetes, Git, Terraform, and Ansible.

Received cloud platform training covering AWS EC2 and Google Kubernetes Engine clusters.

Customer Service Associate Sutherland

Provided real-time customer support for Amazon.com customers through email and live chat. Resolved product, service, and order-tracking inquiries efficiently and professionally.

Collaborated with internal teams to escalate and resolve complex customer issues.

Education

Learning history

SKR Engineering College

Bachelor's degree, Computer Science and Engineering

Bachelor of Engineering in Computer Science and Engineering.

This professional hasn’t added portfolio projects yet.

This professional hasn’t listed any services yet.

Report this profile

Why are you reporting this profile?
Share
Jobs Talent AI Tools Salaries
Menu