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Description
Note: This description will be presented on Candidates Portal and Employees Referral Portal under "Your Team" title
We are looking for a passionate and skilled QA Engineer to join our SD-WAN Team.
If you have a deep interest in Networking, cloud and Security and thrive on tackling high-end networking challenges with a proactive mindset, we invite you to be part of our innovative and collaborative team.
Key Responsibilities
Note: Major Responsibilities will be presented on Candidates Portal and Employees Referral Portal under "Your Impact & Responsibilities" title
Test design, test plan development, and step-by-step documentation for new and existing features.
Execute tests on both existing and in-development our company products and features.
High orientation to details and user experience.
Ability to plan and execute tests for complex features in a fast-paced environment.
Knowledge of tools, concepts, and methodologies of QA testing.
Self-learning capabilities of new products and technologies.
End-to-end ownership on bugs found, from documentation to fix validation.
Maintain a high level of quality according to the company Quality Assurance standards.
Seek continuous education opportunities on new solutions, skills, and technologies to be incorporated in Q.A. testing.

We are looking for a highly skilled QA Automation Engineer to join our team. This role combines hands-on automation development with solid manual testing capabilities and strong understanding of networking fundamentals.
Responsibilities
Key Responsibilities
Design, develop and maintain automated test suites (primarily using Playwright)
Execute manual tests when required, including exploratory and edge-case testing
Test REST APIs using Swagger and other API tools
Validate system behavior across load-balanced environments
Work with JSON payloads, encryption/decryption mechanisms and authentication flows
Collaborate closely with developers, DevOps and product teams to ensure high quality releases
Investigate production issues and participate in root cause analysis
Analyze network traffic and debug issues related to DNS, SSL/TLS, HTTP/HTTPS advantage.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-centric technology, representing the pinnacle of computer vision, machine learning, and generative AI within the automotive sector. With over $380M in funding and strategic partnerships with industry giants such as Toyota, Amazon, General Motors, Volvo, and Hertz, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, seaports, and more. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity, encourages teamwork, and strives for excellence.
We are looking for a driven, systems-minded Release Engineer to join our AI-Ops team. In this role, you will be the execution layer of our delivery pipeline—the technical gatekeeper who owns the safe, predictable deployment of software and AI models to global edge and cloud systems. You will balance high-speed deployment velocity with rock-solid operational stability. But you won't just be deploying code; you'll be acting as an internal project manager, driving our organizational roadmap by building Agentic AI tools and automating processes to scale our delivery capabilities continuously.
A day in the life and how you’ll make an impact:
* Act as the technical gatekeeper, validating and transitioning versions through strict release gates. Enforce rigorous governance and ensure strict "Definition of Done" criteria are met.
* Lead risk-mitigated rollouts across diverse global hardware environments.
* Monitor real-time deployment performance, Quality of Service (QoS), and algorithmic accuracy, making decisive, crisis-resilient calls to proceed, pause, or rollback to prevent regressions.
* Define and execute comprehensive test plans that verify cross-team dependencies. Validate that new versions meet detection accuracy requirements without degrading infrastructure.
* Triage complex production failures. Look beyond immediate issues to identify root causes using system metrics, logs, and container states, delivering actionable evidence to R&D.
* Build and integrate Agentic AI and LLM-based tools to accelerate log analysis, risk assessment, and deployment troubleshooting.
* Architect automated workflows to eliminate manual overhead and enhance system observability with robust monitors and dashboards.

We are looking for a Software Automation Engineer to join our QA team and to take part in the testing process from planning to execution.
Responsibilities:
Responsible for QA processes, testing and release to production of multiple SaaS products.
Build the test plan for the products.
Identify the risks and appropriate test coverage to validate new features as well as regression and develop test plans and cases.
Lead the test execution and preparation for release.
Execute test cases, manually or in an automated fashion, capture and analyze the results, document issues and prepare test reports.
Work with the R&D and Product to deliver high-quality tested SaaS products.
Write test automation for APIs, UI and stress-testing, as an integrated member of an agile R&D team, building a robust application.
Take responsibility for the quality delivery of product releases.
Participate in defining and optimizing the R&D work processes.

Execute comprehensive testing of AI datacenter networking solutions, focusing on SONiC-based systems, smart NIC integration, and high-performance networking for AI workloads.
Key Responsibilities:
Design large scale testing topologies with GPU/Traffic Generators and execute test cases for SONiC/our company network operating system functionality.
Validate smart NIC performance and integration with SONiC datapath
Perform functional, performance, and stress testing of AI networking scenarios
Develop automated test scripts for regression testing and continuous validation
Execute interoperability testing between different hardware vendors and software versions
Validate RDMA, high-speed Ethernet performance for AI workloads
Test failover scenarios and network resilience under various failure conditions
Document test results, file detailed bug reports, and track issue resolution
Collaborate with development teams to reproduce and isolate defects
Participate in customer proof-of-concept testing and field issue reproduction.

We are looking for a DevTest Group Manager with strong expertise in AI-driven testing and a proven ability to lead teams through the adoption of AI tools and methodologies. This role combines leadership, quality engineering, and innovation, with a focus on transforming traditional testing into a scalable, AI-enabled practice. You will lead multiple DevTest teams, drive strategy, and implement AI-based solutions to significantly improve efficiency, productivity, and quality across the organization.
Key Responsibilities
Lead and manage multiple DevTest teams, including team leads and engineers
Define and execute the AI adoption strategy within DevTest
Drive the transition from manual/automation testing to AI-assisted and AI-driven testing
Identify and implement AI-based testing solutions (e.g., test generation, self-healing tests, intelligent execution)
Build and scale AI-enabled frameworks and tools for E2E testing
Collaborate with R&D and Product managers to integrate AI into the development lifecycle
Ensure high standards of quality, coverage, and reliability across all testing activities
Analyze metrics and KPIs to continuously improve DevTest efficiency and effectiveness
Mentor and develop team members in both technical (with extra attention to AI capabilities) and managerial path
Promote a culture of innovation, learning, and continuous improvement
What Success Looks Like
DevTest teams effectively using AI in daily workflows
Significant improvement in testing efficiency/quality and productivity
Increased test coverage and faster feedback cycles
Successful rollout of AI tools and frameworks across teams
Teams upskilled and confident in working with AI.

We are looking for a Test Automation Engineer to join our Product Engineering Team. In this role, you will be responsible for designing and implementing automated test programs for hardware validation and production testing. You will work closely with hardware engineers to define test strategies, ensure seamless SW-HW integration, and optimize test environments to improve efficiency and reliability.
Key Responsibilities
Develop and maintain automated test programs for hardware validation and production testing.
Collaborate with hardware engineers to define, implement, and stabilize automated test environments.
Enable HW operation through software-driven testing methodologies.
Debug SW-HW integration issues and optimize test sequences for robustness and efficiency.
Maintain test documentation, analyze test results, and contribute to yield improvement efforts.