לוח משרות דרושים מתכנת Oracle / PL/SQL בתל אביב יפו

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.

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.

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 professional and enthusiastic BI Developer to join our team!
Job Id: 25366
The BI Developer will be responsible for defining and building our data pipelines and analytics infrastructure. You will work closely with product managers, R&D engineers, and business stakeholders to support new initiatives and proactively improve our data solutions and AI agents. You will help create and manage data processes for actionable insights and operational needs.
If you are passionate about data modeling and data processing, with excellent visualization and analytical skills, this job is for you.
Key Responsibilities
As a BI Developer, you will be responsible for:
End-to-End Solutions: Design, build, and maintain easy-to-use data solutions. This includes orchestration, data modeling, dashboards, building data agents, monitoring, alerting, and experimentation models.
AI Integration: Actively use AI tools to accelerate development-from writing optimized SQL and automating repetitive tasks to building intelligent agents.
Collaboration: Work effectively with cross-department stakeholders to capture analytical requirements and translate them into technical reality.
Insights: Analyze complex datasets to provide useful, actionable recommendations that drive business value.

We are looking for an experienced and hands-on Data Engineer to lead the migration of enterprise data platforms to Google Cloud Platform (GCP).
In this role, you will design, build and maintain scalable ETL/ELT pipelines, develop advanced data models in BigQuery and contribute to the creation of a high-performance, reliable and cost-efficient data architecture.
You will work closely with analysts, data scientists and engineers and have real impact on how data is consumed across the organization.
What You Will Do:
Lead the migration of data from on-premise core systems to Google Cloud Platform (GCP).
Design and develop processed data layers (Silver and Gold) and data marts in BigQuery, including complex business logic.
Build, orchestrate and maintain data pipelines using Cloud Composer / Apache Airflow.
Develop robust data transformations, including cleansing, enrichment and data quality improvements.
Write efficient and optimized SQL queries in BigQuery with strong focus on performance and cost.
Create and maintain clear and up-to-date technical documentation for data architecture and processes.

our Data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
On your day to day:
On a day-to-day basis, we transform raw data into clean, structured models using tools like SQL, Python, and dbt. We build and maintain modern BI platforms, develop reporting systems, and design AI-driven analytics that surface valuable insights quickly and reliably. Our team is hands-on with building reusable metrics, defining source-of-truth data models, and ensuring consistency through a strong semantic layer. Whether were shipping a new dashboard, debugging a dbt model, or refining how a metric is defined across the business, our focus is always on clarity, scalability, and enabling smarter, faster decisions.

Were looking for an Analytics Engineer to join our team and play a key role in shaping how data drives our product and business decisions.
This role is perfect for someone who enjoys working at the intersection of data, product, and strategy. While Product Analysts focus on turning data into insights, youll focus on building the strong data foundations that make those insights possible. You wont just run queries; you will design the data architecture and own the "source of truth" tables that power our strategic decision-making.
Youll work closely with our Growth and Solutions teams, helping them move faster and smarter by making sure the data behind Generative AI, Data-as-a-Service (DaaS), and advanced product models is clear, reliable, and easy to use. Your work will have a direct impact on how we build, scale, and innovate our products.
What Youll Do
Define the Source of Truth: Take raw, complex data and transform it into clean, well-structured tables that Product Analysts and Business Leads can use for high-stakes decision-making.
Translate Strategy into Logic: Work with Product, Growth, and Solutions leads to turn abstract concepts (like "Activation," "Retention," or "Feature Adoption") into precise SQL definitions and automated datasets.
Enable High-Tech Initiatives: Partner with our AI and DaaS specialists to ensure they have the structured data foundations they need to build models and external data products.
Optimize for Usability: Ensure our data is not just "there," but easy to use. You will design the data logic that powers our most important product dashboards and growth funnels.
Maintain Data Integrity: Act as the guardian of our metrics. You will ensure that the numbers used across our product and business reports are consistent, reliable, and logical.