לוח משרות דרושים מתכנת Oracle / PL/SQL

We're seeking a Senior Security Researcher & Team Lead to own and drive security research domain from the ground up. This is a leadership-first role - you'll build and guide a research team, define a new frontier in AI and agentic security, and shape the methodologies and standards that don't yet exist in the industry. If you thrive in ambiguity, love creating structure where there is none, and want to leave a real mark on an emerging security domain, this role is for you.
You'll investigate emerging attack surfaces, architect and implement detection mechanisms, and validate your findings in production environments protecting Fortune 500 customers. It's a high-ownership position that blends deep technical research with strategic thinking and team leadership - with a real sense of urgency to shape the AI security landscape not just, but for the entire security community.
Responsibilities:
Lead and mentor a security research team, driving vulnerability and threat research that generates product value and protects Fortune 500 customers in production environments.
Take end-to-end ownership of detection mechanism design for agentic AI applications - from initial hypothesis through experimentation to production-grade implementation.
Apply expertise across cloud, identity, web, and API security to map and address the evolving AI threat landscape.
Apply LLMs, Agentic AI, and machine learning models to detect security vulnerabilities.
Collaborate closely with engineering and product teams to translate research into actionable, shippable security capabilities.

We are looking for a Backend Engineer to join our Data Science team.

In this role, you will partner directly with Data Scientists to transition research prototypes into efficient, production-ready microservices. You will collaborate with a broad forum of experts including architects, data engineers, and product managers, to deliver high-quality technical solutions that drive our product forward.

Responsibilities
Model Tech-Transfer: Transition research prototypes (from Data Scientists) into efficient, production-ready microservices.
Pipeline Management: Build and maintain automated pipelines for data collection, model training, and deployment (using Jenkins & Airflow).
Infrastructure Ownership: Deploy, tune, and manage AWS cloud resources (EC2, S3, ElastiCache) for low latency and high availability.
Monitoring and Evaluation: Implement monitoring for model performance (accuracy, statistical calibration) and Business Performance (adherence with company KPI, business impact).
Quality Assurance: Write robust unit tests and optimise code for performance.

Join our team innovate in Data Management by designing, implementing, and managing advanced data platforms.
You will optimize relational or non-relational databases and big data systems, collaborate with cross-functional teams, and provide technical support.
Monitor performance, solve complex challenges and stay update on emerging technologies.

A leading Israeli company specializing in SaaS-based software solutions for managing organizations Human Resources, is looking for a Systems Analyst to define and specify web and mobile systems, from planning to production.



Key Responsibilities:

Define web and mobile systems, create Detailed Design documents.
Understand business and technical requirements, coordinate with development and production teams.
Conduct testing, optimize web systems, and provide maintenance and support.

A Software company in Tel Aviv is hiring an Applicative and Infrastructure DBA to join it's development department.

Responsibilities:

Database development and management of a large SaaS system serving hundreds of thousands of users.
Offer support for production systems, including database monitoring, tuning, and troubleshooting.
Demonstrate strong interpersonal and communication skills, contributing positively as a team player.

We’re looking for a AI Solutions Junior Engineer who thrives at the intersection of data, product, and client impact. In this role, you’ll take full ownership of delivering and evolving AI based data solutions for our customers - blending deep analytical skills with strong communication and product intuition. If you’re excited by semantic models, data analysis, and helping clients leverage data to inform business decisions, this role is for you. What You’ll Do
* Work with AI-generated semantic models, editing them and optimizing them to drive actionable insights.
* Work directly with customer stakeholders to deeply understand business needs, use cases, and their data environment.
* Own the technical solution end-to-end, including model refinement, tuning and verification, ensuring data accuracy and consistency.
* Collaborate with R&D, Sales and Product to surface insights, resolve blockers, and influence product enhancements.
* Translate business questions into analytical solutions constantly pursuing optimization, efficiency and automation opportunities.
* Work with client stakeholders to provide training and enablement support.

As a Data Analyst you will be working with colleagues from various disciplines, such as - Product, Engineering, Marketing, Sales, Customer Success, Risk, Data Scientists within the team and other Data Analysts - on their KPIs, the way they observe information and the hardest questions each team is facing in order to drive insights and keep a data driven company.
You will play a key role in the ability of each team at to keep scaling!

Were looking for a Senior Data Engineer to own high-impact data products from architecture through production deployment, monitoring, and continuous improvement. This isnt a pure infrastructure role - youll combine strong engineering with product thinking, operational excellence, and awareness of data quality, cost, and business impact.
You will design, implement, test, deploy, and maintain production-grade data products - pipelines, transformation layers, data quality and reliability systems - using tools like DBT (on Spark) and Databricks. Youll apply best practices in Python and SQL to build scalable and maintainable data transformations, and leverage technologies like LLMs and GenAI to create innovative solutions for real business problems.
This role is ideal for someone who wants technical leadership responsibilities in an AI-first engineering culture - we use LLMs, GenAI, and AI-native development tools as core parts of our daily workflow.
Key Responsibilities:
Act as a technical leader within the team - raise engineering standards, drive strong architectural choices, and improve how we build
Own data products end-to-end: design, development, deployment, monitoring, and iteration
Work closely with senior leadership to translate strategic goals into scalable data solutions
Develop and maintain production ETL/ELT pipelines using DBT (on Spark) and orchestrated workflows in Databricks
Build monitoring, alerting, and testing pipelines to ensure reliability and performance in production
Evaluate and introduce new technologies - including AI-native development tools - and integrate the ones that create real impact
Collaborate with customers and external data providers - gathering requirements and making product decisions.
Mentor team members through code reviews, pairing, and knowledge sharing

we are looking for a Senior DBA/DBA.
Job Decription:
DBA application & infrastructure, in a small team (3 person) - leading the team is optional
Managing 300 critical production BD, with Thousands of users.
LINUX / UNIX /WINDOWS workspace
SSIS, SSRS, PYHTON, SHELL and TSQL developing
Working with technologies such as SQL SERVER 2012-2014, SYBASE, AZURE
Replication server, dev support, mirror, DR.
Working in a high level intense with cross-managing inside and outside the organization.
DB project managing and DWH with Big Data Job requirements

Were seeking a passionate, experienced Senior Data Analyst to join our team.
Our offices are located in Poleg, Netanya, and we work in a hybrid model.
Responsibilities:
Drive strategic insights by working hands-on with complex data sets, seamlessly blending structured quantitative metrics with unstructured qualitative data (e.g., text, consumer feedback).
Build agile analytical solutions, developing and maintaining advanced visual reports and interactive dashboards in Power BI to allow stakeholders to consume complex data easily.
Deliver high-impact presentations (in English) to cross-functional teams and senior leadership, transforming raw data into clear, coherent, and compelling narratives that drive action.
Optimize and automate: Proactively identify bottlenecks in current research processes and reduce turnaround times by building automated pipelines, templates, and dynamic models using SQL and Advanced Excel.
Act as a strategic partner: Work highly autonomously to map business needs, master new domains on the fly, and provide data-driven guidance. This is an individual contributor role.