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we are expanding!
We are a dynamic software house specializing in developing innovative web systems and mobile applications. We believe in using the right tool for the job, which means our tech stack is diverse and constantly evolving.
We are looking for a versatile, open-minded Software Developer to join our growing team on a part-time basis. In this role, you will be involved in the full development lifecycle, tackling a wide variety of projects-from cross-platform mobile apps to complex web systems.
We offer a flexible work environment that is highly suitable for students or anyone looking to balance work with personal projects. If you are a quick learner, passionate about coding, and looking for a place where you can expand your skillset and grow with us - we want to meet you!

We are looking for a Cloud Monitoring Engineer to join our growing team and ensure our systems and customer environments are always optimized, available, and secure. This role combines proactive monitoring with incident management and operational excellence to deliver outstanding results for our customers.
Responsibilities
Proactive Monitoring: Continuously monitor our and customers environments using tools such as Kibana, Grafana and other cloud monitoring solutions.
Investigate and respond to application, system, and network issues to ensure maximum service availability.
Identify and troubleshoot anomalies in production and staging environments powered by AWS, GCP, Azure, Kubernetes, Docker, and EKS/ECS.
Document and categorize incidents, reporting them accurately.
Collaborate with cross-functional teams (TS, R&D, Product) to address and resolve underlying issues.
Communicate changes, updates, and improvements effectively within the organization.
Develop and enhance monitoring methods, tools, and automation processes.
Stay updated on emerging technologies in cloud monitoring and security to ensure best-in-class solutions.

we're seeking a visionary Design Verification Student to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, designing complex solutions that sit at the heart of our most ambitious connectivity projects.

As a Design Verification Student, you will be at the forefront of quality, learning how to ensure that the chips powering the world's largest AI clusters are bug-free and robust.
This isn't just about running tests - its an opportunity to learn advanced verification methodologies (UVM/SystemVerilog) alongside world-class engineers. You will support the development of sophisticated testbenches and help verify high-performance digital blocks that sit at the heart of AI infrastructure.



Key Responsibilities


Assist in building and maintaining System Verilog/UVM-based testbenches, including monitors, checkers, and functional coverage models
Run simulations, analyze failures, and work with the design team to debug and resolve RTL issues
Help define and implement functional coverage and assertions to ensure all "corner cases" of the design are tested
Utilize and improve scripting (Python/Tcl) to streamline verification flows and result reporting
Partner with Design Engineers to understand block specifications and ensure the verification plan matches the design intent

Our department is seeking for an SAP FI Consultant. We are looking for a skilled SAP FI Consultant to implement, analyze, and support SAP FI processes while working closely with business stakeholders and the internal SAP team. This role requires strong SAP FI expertise, business process analysis capabilities, and the ability to translate business needs into clear system specifications. A part-time, hybrid position, based in Central Israel.
Key Responsibilities:
* Analyze and document financial processes in collaboration with business users.
* Implement and support SAP FI classic functionalities as part of the FI team.
* Write functional specifications and support development analysis when required.
* Review and analyze CORE ABAP logic to align functional requirements with technical solutions.

Do you want to take part in shaping the future of AI-driven materials discovery? We are seeking a talented and highly motivated student for a Joint PhD at Bar-Ilan University (BIU), to conduct cutting-edge research in collaboration with our teams, on next-generation Foundation Models for Materials Science.
The work will focus on developing novel multi-modal foundation models for materials discovery, leveraging large-scale data, representation learning, and uncertainty estimation. The candidate will work closely with academic and industry researchers, contributing to both methodological advances and real-world impact across scientific and industrial domains.
What youll be doing:
Conduct research in deep learning and AI for materials science, with a focus on foundation models, multi-modal learning, and representation learning.
Develop and train large-scale models for materials discovery and prediction tasks.
Collaborate with researchers and engineers across and academia.
Lead independent research under academic supervision, while contributing to team efforts.
Publish results in top-tier conferences and journals, and present findings clearly and effectively.

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

As an Integration Specialist, you will be the technical "glue" connecting our ITSM platform to the worlds leading cloud and IT ecosystems.

This is a unique, high-visibility role for someone who wants to combine deep technical work (APIs, AI-coding, and Workato) with a strategic, client-facing edge. Youll build the automations, train our teams to sell them, and jump on calls to prove their value to global customers.

Key Responsibilities
Build & Automate: Design and deploy API-based integrations between us and platforms like AWS, Azure, Security tools, Asset management solutions, and more using our Agentic AI tools and low-code tools (Workato).
Technical Sales Support: Join discovery calls with prospective customers to understand their technical environment and demonstrate how our integrations solve their business pains.
Internal Enablement: Act as the subject matter expert by training internal sales and success teams on how to effectively position and "sell" our technical capabilities.
Documentation: Work with our technical writer to create clear technical blueprints and "how-to" guides for both internal implementation and customer-facing use.

We are looking for students for a part-time Technical support Representative position.

The position is part-time, in shifts that include nights, weekends and holidays.

Location: Poleg, Netanya.

Responsibilities
Providing Bright Data's customers with timely and accurate technical support
Independently understanding and solving technical problems using internal documentation.
Clarifying problem solutions to customers and providing them with the best workflows.
Interacting with other departments to clarify issues and escalate them when required.

We are looking for students for a part-time Deploy position!

The position is part-time, in shifts that include nights and weekends.

Responsibilities
Monitor and support company servers in Linux.
Release new features and updates on the server.
QA (manual).

As an AI Security Research Intern in the Autonomous Attack Disruption team, you will join the frontlines of our Defender's mission to stop attacks in near real-time. Under the mentorship of experienced researchers, use AI to analyze real-world attacker TTPs and build systems that autonomously detect and disrupt attacks before adversaries reach their goals, including agentic pipelines and LLM-based threat analysis.

This role requires a blend of applied security research expertise, AI fundamentals, and engineering skills to deliver production-ready protection at a global scale. This is your chance to see your AI-powered research transformed into autonomous defense systems that protects millions of users.

Responsibilities
Investigate real-world advanced attacker TTPs and apply AI techniques (LLMs, agentic workflows) to support the development of high-fidelity, AI-augmented protection logic across complex cross-domain kill-chains.
Apply security expertise combined with AI-driven methods to analyze massive telemetry sets using big-data query languages (KQL) and AI-driven analysis, reasoning over data to identify novel malicious patterns and engineer evidence-based detection rules.
Contribute to the design and implementation of AI-powered capabilities that autonomously disrupt sophisticated threats in near real-time.
Assist in the refinement of protection coverage by analyzing real-world attack telemetry to improve the accuracy and performance of existing detection logics.
Contribute to a strategic feedback loop by documenting findings from attack data analysis to improve overall protection logic and system-wide security posture.
Partner with engineering, product, and other research teams to translate research insights into production-ready AI systems, helping to validate protection concepts, from prompt engineering to model evaluation, and ship them at a global scale.
Explore and prototype with emerging AI tools and frameworks to accelerate security research workflows and build reusable AI-driven research tooling.