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Requirements:
* 5+ years of experience in manual and automation testing for software systems
* Hands-on experience working in Linux environments
* Experience testing complex, large-scale systems
* Python programming skills
* Ability to apply AI tools to improve productivity and automate processes
* Fast learner with strong ownership mindset; able to independently drive projects end-to-end with minimal supervision
* Highly organized with the ability to document processes, test plans and results thoroughly as part of end-to-end project ownership
* Excellent diagnostic, troubleshooting, and problem-solving skills
* Strong communication skills and a collaborative mindset Preferred Qualifications:
* Knowledge of storage technologies
* Experience with tools such as Git, Jira, and Jenkins
* Familiarity with virtualization technologies (e.g., VMware, Docker)
* Relevant academic degree (Computer Science, Engineering, or equivalent)
About Infinidat Infinidat’s enterprise storage portfolio provides global Fortune 500 enterprises and service providers with best-in-class solutions for primary storage, next-generation data protection, disaster recovery, business continuity, and cyber resilience. Infinidat’s acclaimed InfuzeOS is the one of the most flexible and complete enterprise software-defined storage architectures in the industry. We recently announced powerful enhancements, an extensive expansion, and the dynamic evolution of our award-winning G4 enterprise cyber and AI storage solutions! Not only did Infinidat win over 40 awards in 2025 , but was named a Gartner® Peer Insights™ Voice of the Customer Award for Primary Storage for the 7th time!

Requirements:
What We Need to See:

Combined network engineering depth with thorough software habits.

5+ years of hands-on QA or networking experience, backed by CCNP-equivalent protocol knowledge: L2 (VLAN, STP), L3 (BGP, OSPF), EVPN, VXLAN, and advanced features like PFC, ECN, RoCE, and QoS.

Production-quality Python engineering-specifically, strong OOP design and hands-on experience with Pytest.

Deep Linux proficiency (at an LPIC-1 or LPIC-2 level) to navigate system internals, analyze logs, and debug effectively.

Clear verbal and written communication, with professional proficiency in written and spoken English.

B.Sc. or or B.A. or equivalent experience in Computer Science, Electrical Engineering, or a similar background.


Ways to stand out from the crowd:

Experience with Docker and traffic generation tools (Ixia, TRex, Scapy).

Hands-on experience integrating tests into CI/CD pipelines (Jenkins, GitLab CI).

Working knowledge of virtualization platforms (KVM, VMware).

Requirements:
What we need to see:

B.Sc/M.Sc or higher in Computer Science, Computer Engineering, or a related field or equivalent practical experience.

5+ years of software engineering experience building distributed systems, cloud infrastructure, or platform software.

Deep understanding of Kubernetes and the cloud-native ecosystem.

Experience extending, building, or contributing to Kubernetes-based solutions.

Strong communication skills and the ability to collaborate across engineering teams and open-source communities.

Curiosity, adaptability, and an interest in learning AI infrastructure.


Ways to stand out from the crowd:

Active contributor to Kubernetes, CNCF, or other open-source infrastructure projects.

Leadership experience in open-source communities, such as maintainer, reviewer, approver, SIG/WG leadership, or similar roles.

Experience designing Kubernetes APIs, authoring KEPs, or driving community proposals through upstream processes.

Experience with Kubernetes scheduling, networking, Gateway API, workload APIs, or other core Kubernetes subsystems.

Understanding of AI infrastructure, including inference systems, GPU scheduling, distributed serving, or LLM infrastructure.

Requirements:
What we need to see:

B.Sc. degree or equivalent experience in Engineering/Computer Science/related field.

8+ overall years of software engineering experience, with at least 3 years of experience in a leadership role, managing software development teams.

Proven ability to lead technical teams: hiring, mentoring, technical roadmapping, and cross-team influence.

Experienced with developing software automated tests.

Strong Python programming skills.

Demonstrated experience designing and operating CI/CD systems at scale (Jenkins, GitLab CI, GitHub Actions, or equivalent).

Strong analytical and problem-solving skills with a bias toward measurable outcomes and data-driven decisions.


Ways to stand out from the crowd:

Deep Linux expertise: system internals, networking stack, process management, and scripting.

Expertise in routing protocols.

Experience with AI tools (Agents, Skills).