QA Automation Engineer – Networking Product

CodiLime is a software and network engineering industry expert and the first-choice service partner for top global networking hardware providers, software providers and telecoms. They create proofs-of-concept, help clients build new products, nurture existing ones and provide services in production environments. The company has 250+ employees, operating since 2011, serving clients worldwide including the US, Japan, Israel, and Europe.

• Strong hands-on experience with Python-based test automation using pytest or similar frameworks (experience with pyATS/Genie is highly desirable)
• Experience in network test automation
• Solid networking knowledge focusing on routing: BGP, OSPF, routing tables, VRFs, and general Layer 3 networking concepts
• Understanding of SD-WAN concepts including overlay architecture, policies, IPsec tunnels (hands-on SD-WAN experience strongly preferred)
• Proven debugging and troubleshooting skills: reading logs, CLI-level investigation, isolating root causes across product, test, and environment layers
• Experience working closely with software development teams and translating delivered features into test scenarios
• Hands-on use of AI tools (LLM coding assistants such as Copilot or Codex) in everyday engineering work
• Experience with REST APIs or/and WebSockets
• Experience with Docker
• Good Linux command-line skills including shell scripting and command-line tools
• Good knowledge of English (B2+ level)

Nice to have:

• Hands-on experience with SD-WAN solutions
• Familiarity with Jenkins and GitHub-based CI/CD pipelines
• Experience with physical or virtual network testbeds and virtual routers (e.g., CSR1000v / Catalyst 8000v)
• Experience working with formal defect tracking systems
• Experience with traffic generators

• Develop and maintain automated test suites for the Routing SD-WAN area executed on the CI/CD test orchestration platform (pre-commit PR testing and weekly runs)
• Own weekly regression runs: monitoring results, triaging failures, and driving them to resolution
• Debug failed runs by analyzing device, system, and test logs; distinguish product bugs from test-suite or environment issues; raise well-documented defects
• Collaborate closely with development teams to understand delivered features and design test coverage
• Extend test automation as new features are delivered in the Routing area
• Leverage AI tools (AI-assisted root cause analysis, LLM coding assistants) to accelerate scripting, log analysis, and root cause identification
• Coordinate issue resolution with suite owners and development/test engineers through dedicated collaboration channels