Network/QA Engineer
Xoriant
San Jose, CA · Posted August 6, 2026
We last confirmed this job open on October 28, 2026. Check the employer’s site to see if it is still taking applications.
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Where San Jose, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for marketing pay after cost of living$204k · of 16
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- #5Best cities for technology jobs1,449 openings · of 100
- #5Cities with the most jobs that do not need a four-year degree in the West Coast162 jobs · of 47
Rankings about engineering jobs
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- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
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- Employers with the most engineering jobs #1 Amazon (2,992 roles)
How AI is used in this kind of work
Among software quality assurance analysts and testers, AI is already used for a large share of the tasks. Measured exposure for software quality assurance analysts and testers: 52% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
Role – Networking Engineer Program - Deep Network Model Human Evaluation Program Networking and Compliance Subject Matter Experts (SMEs) for Human Expert Assisted Data Acquisition Program Required Skills Expert-level knowledge of enterprise networking: Deep understanding of Cisco routing and switching products, with a focus on large-scale campus, enterprise and datacenter networks. Extensive troubleshooting experience: Demonstrated experience diagnosing and resolving complex networking, security and compliance issues, including root cause analysis, and multi-domain and multi-vendor environments. Proficiency with CLI diagnostics: Expert knowledge of Cisco CLI, including the use of “show” commands and other diagnostics for problem investigation. Experience with network monitoring and analytics platforms: Hands-on experience with tools such as Cisco Catalyst, SDWAN, Nexus, Intersight, Firewall, Cloud Control etc, for monitoring, troubleshooting, configuration, compliance and performance analysis. Experience documenting technical solutions: Strong ability to create detailed methods of action, recommendations, and impact statements for network problems and proposed solutions. Familiarity with automation and scripting: Working knowledge of Python and automation frameworks (e.g., Ansible, Terraform) for interacting with APIs and automating network tasks. Experience with software defect analysis: Familiarity with identifying software-related network issues and evaluating the impact of software bugs and vulnerabilities. Experience with training/evaluation data creation: Ability to design, curate, and annotate realistic problem scenarios and training examples for use in ML and GenAI model and agent development.