דרושים » סטודנטים » Technical Support Specialist - Student Position

We are looking for a highly motivated, service‑oriented student to join our IT Services team. The role reports to the IT Services APAC Team Leader. This position is a great fit for students or junior candidates who are curious, service‑oriented, and eager to gain hands‑on IT experience, even without prior formal experience in the field.
Position Details:
Part‑time position - minimum of 3 working days per week
Approximately 27 hours per week
On‑site role only
Responsibilities:
Support employee onboarding, including setting up laptops, user accounts, software, and peripherals
Provide end‑user IT support and troubleshooting
Handle IT requests through a ticketing system and provide on‑site support
Diagnose and resolve basic hardware, software, operating system, and connectivity issues
Assist with IT documentation, workflows, and internal guides
Maintain office IT equipment and meeting room setups
Help manage and track IT inventory

we are looking for a Customer Support Specialist.
As a Tier 1 Customer Support you will be responsible for:
Be the first line of defense and escalation for any technical issues
Elegantly handle customer requests and maintain SLA & customer satisfaction
Escalate and own issues internally and externally with service providers / partners
Extend our knowledge base
Work across departments (Engineering, DevOps, Prof Services, etc.) to resolve customers issues

We are is looking for a software development student to join the Alteon Application Delivery organization.

What will you do?
The software development student will join the Alteon ADC group, which develops our next-generation Application Delivery Controller (ADC)-the only network load balancer that guarantees application SLA. The solution provides advanced, end-to-end local and global load balancing capabilities for all web, cloud, and mobile-based applications.

In this position, you will work using Agile Scrum methodology in a highly challenging and dynamic environment.

As a Student Automation Developer, you will play a critical role in ensuring the quality, stability, and success of our core platform. This is not just a background role - you will take ownership of end-to-end test plans for complex, cutting-edge features (including AI sessions, data privacy tools, and query builders).

You will work closely with experienced developers, Product Managers, and Data Scientists, gaining deep technical exposure that serves as an excellent stepping stone toward a future career in FS or BE software engineering.

Key Responsibilities
Automation Development: Design, build, and maintain robust automated testing frameworks and scripts, primarily using Python.
Feature Ownership: Take the lead on creating and executing comprehensive test plans for newly released features, ensuring product stability from day one.
CI/CD Pipeline Management: Monitor daily CI/CD pipelines to catch regressions early, triage failures, and maintain a highly reliable release cycle.
API & Backend Testing: Conduct deep backend validation by interacting with REST APIs, utilizing tools like Postman and internal automation clients.
Cross-Functional Collaboration: Partner directly with the Platform, Product, and Data Science teams to clarify requirements, investigate bugs, and define expected system behaviors.
Continuous Improvement: Actively participate in framework refactoring, workflow improvements, and writing clean, maintainable code.

We invite you to join the DP QA department responsible for high end enterprise security solutions. Our cutting edge security platforms simplify operations while ensuring resilience, efficiency, and SLA adherence.

In this role, you will take an active part in mastering our Next Generation Cyber Security products, with a strong emphasis on automation, quality engineering, and the adoption of AI driven testing methodologies.

You will work in an Agile Scrum environment within a dynamic, fast growing, and highly innovative team.

What will you do?
Planning, design, development, reporting, and analysis of manual and automation tests.
End to end testing of various DP features and components.
Building and maintaining automation frameworks for complex networking and security environments.
Utilizing AI powered tools to improve test coverage, defect detection, and root cause analysis.
Developing test insights using AI/ML models for anomaly detection and optimization of regression cycles.
Collaborating with development, QA, and data teams to integrate AI assisted automation into CI/CD pipelines.
Participating in Agile processes, contributing to test strategy and continuous quality improvement.

we are looking for a PhD Machine Learning Research Intern.
As a Machine Learning Research intern in Tel-Aviv, you will have the opportunity to tackle real world problems by pushing the boundaries of the state-of-the-art, with the goal of publishing your work.
You will join us for a 3-month internship (preferred start date: May) focused on Data-Centric AI. In this project, you will tackle the "glass ceiling" of NLU performance: inherent ambiguity in annotation guidelines and label taxonomies. You will move beyond traditional noise reduction to investigate why human annotators disagree and how these disagreements corrupt "ground truth," directly influencing how we evaluate and improve state-of-the-art models.
Key Job Responsibilities and Duties:
Survey the Landscape: Conduct a comprehensive literature review to synthesize current approaches to data ambiguity, identifying the strengths and limitations of existing methods in handling label noise and taxonomy gaps.
Innovate & Design: Devise novel techniques and metrics to detect, quantify, and resolve inherent ambiguities within NLP datasets and annotation guidelines.
Experiment & Validate: Design and execute rigorous experiments to evaluate your proposed methods, measuring their impact on model reliability and ground truth accuracy.
Publish Findings: Summarize your conclusions and contribute to writing a research paper with the aim of submitting to a top-tier NLP conference (e.g., ACL, EMNLP).
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In contrast to many other student jobs, we give our students a real chance to write and develop code that will be part of production level products. To experience real research and development challenges both front and back end in various languages and technologies.