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Required Student Software Engineer - Cloud, Big Data, Billing & AI
What you'll do:
Join a skilled Agile development team building and operating a large-scale cloud platform for our FinOps and Billing.
Develop and enhance cloud-native, distributed systems for collecting, processing, aggregating, and mediating high-volume event data.
Work on backend services and integrations with billing and financial systems, covering the flow from data ingestion and processing to aggregation and billing.
Contribute to Big Data processing pipelines and highly scalable microservices.
Work with databases, event-driven architectures, and messaging and queuing systems.
Develop and improve observability and monitoring capabilities to ensure system reliability, scalability, and performance.
Build AI-powered tools, Model Context Protocol (MCP) integrations, agents, and skills to support system operations, troubleshooting, monitoring, data analysis, and automation.
Explore and apply agentic AI approaches to improve how engineers operate, examination, and interact with complex cloud and Big Data systems.
Develop tools that enable AI agents to query system data, analyze operational information, and assist with day-to-day system management.
Help stabilize, troubleshoot, and improve the performance of production systems.
Improve and optimize development, testing, and operational automation.
Collaborate closely with skilled developers, architects, and domain experts in an international environment.
Gain hands-on experience with modern Cloud, Big Data, DevOps, and AI technologies while working on systems operating at significant scale.

For DRS Rada Technologies, a defense company that manufactures life-saving radar systems, we are looking for a student for the Final Testing Department at the plant in Beit She'an. Responsibility for performing electrical tests on boards and finished products in the final testing department in production. The work is in shifts, morning and night, including weekends (and alternating Saturdays). Suitable and convenient for students, with good conditions for suitable candidates and opportunities for advancement.

we are looking for a Clinical Data Labeler.
The Clinical Data Labeler contributes significantly to the training of our AI models, which aim to enhance the quality of life for senior citizens. This position involves meticulously tagging and classifying textual data based on clinical and technical criteria to ensure high-quality AI training datasets.
Key Responsibilities:
Review and analyze clinical textual data, including speech and other relevant sounds.
Accurately tag and classify textual data using clinical and technical criteria.
Collaborate with the AI team to refine and improve labeling guidelines.
Communicate regularly with the team to report challenges, suggest improvements, and ensure consistent data labeling.
Maintain a high level of attention to detail to ensure quality and accuracy in data labeling.

We are seeking a highly motivated, detail-oriented Implementation assistantto support our team. In this role, you will assist with the preparation, review, and quality assurance (QA) of materials submitted for MLR. Success in this role requires strong English skills, the ability to learn quickly, being agile, fast and oriented to details.
This is an hourly role based on workload - ideal for candidates seeking flexible scheduling, including students who want to gain experience in a digital health technology company.
Responsibilities:
MLR materials preparation, including decks of program screenshots and annotations
Review & QA of the materials to ensure meeting the highest quality standards and comply with established guidelines