Network & Hardware AI Validation Engineer

Get to know us better

Codi Lime is a software and network engineering industry expert and the first-choice service partner for top global networking hardware providers, software providers and telecoms. We create proofs-of-concept, help our clients build new products, nurture existing ones and provide services in production environments. Our clients include both tech startups and big players in various industries and geographic locations (US, Japan, Israel, Europe).

While no longer a startup - we have 250+ people on board and have been operating since 2011 we’ve kept our people-oriented culture. Our values are simple:

• Act
  to deliver.

• Disrupt
  to grow.

• Team up
  to win.

We develop software for modern networking platforms and operating systems for leading equipment manufacturers, as well as various other cloud-native, containerized services and solutions. In our test engineering teams, we bridge the gap between complex physical hardware (advanced routers, NPUs) and high-velocity, AI-driven development

We are looking for an engineer who combines solid networking hardware intuition with an AI-first mindset to rapidly build, test, and maintain a Python testing tool across diverse router platforms. You don t need to write low-level code from scratch—your super-power is leveraging LLMs to code fast, flash hardware, and validate your code efficiently.

What else you should know:

• We work using client-supplied hardware and tools

• The project is managed by the client, but the Codilime manager is also involved

• The client is from the US, so early evening meetings may be required

As a part of the project team, you will be responsible for:

• Research and define how to implement client requirements and ideas best

• Engage directly with client architects and end-users through design calls and syncs to gather requirements, clarify edge cases, and shape the future of the testing tool

• Develop and maintain a Python-based validation framework designed to test low-level SDK APIs

• Use modern AI coding tools (LLMs, Copilot, Codex, etc.) as your primary workflow to rapidly generate, refactor, and expand test scripts

As a QA Engineer, you must meet most of the following criteria:

• Python Expertise:
  Practical experience in Python development or scripting for test automation

• Hardware & Networking Intuition:
  Hands-on experience working with physical hardware, router platforms, CLIs, and network interfaces

• Solid Networking Fundamentals:
  Strong understanding of L2/L3 networking concepts, IP routing, and common protocols (e.g., VLANs, BGP, OSPF)

• AI-First Mindset:
  Active daily use of AI tools (Cursor, Copilot, LLMs) to write, debug, and deliver code fast

• Fluent English:
  Clear written and spoken English for direct calls with client architects and end-users. (B2 level at minimum, but preferably C1 or C2)

Beyond the criteria above, we would appreciate the nice-to-haves:

• C/C++ Literacy:
  Ability to read and analyze C/C++ source code to understand underlying hardware behavior

• Multi-Platform Automation:
  Experience scaling test frameworks across multiple hardware models or architectures

• Network Automation Frameworks:
  Hands-on experience with tools like pyATS, Robot Framework, Scapy, or Ansible

• Network Testing & Traffic Generators:
  Familiarity with traffic generation tools (e.g., Spirent, Ixia, TRex) or packet analyzers like Wireshark

• Experience in working with Software Houses

• Flexible working hours and approach to work: fully remotely, in the office or hybrid

• Professional growth supported by internal training sessions and a training budget

• Solid onboarding with a hands-on approach to give you an easy start

• A great atmosphere among professionals who are passionate about their work

• The ability to change the project you work on