Senior Engineer Software - SaaS Data Security (Cortex Cloud)

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8896138

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15/10/2026

Senior Backend Engineer (Data Team)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

The Senior Backend Engineer team (Data Team) builds the systems that discover, understand, and govern customer data at petabyte scale. We turn raw enterprise data into the security signal the rest of the platform builds on, working on problems like distributed systems running inside customer clouds, analytics over large data lakes, and detection logic that has to be both precise and fast. Youll work end-to-end and ship features that every Sentra customer uses.

Responsibilities
Designing and implementing core components within the classification and policy stack, including microservices, ETLs, and shared libraries.
Owning features end-to-end: design, implementation, rollout, testing, monitoring, and production operation.
Conducting design and code reviews with the team and across R&D.
Driving scale, performance, and cost optimizations against multi-tenant data-lake workloads.
Partnering with AI/ML, Research, Product, and Frontend to ship cross-functional initiatives.

Requirements:
6+ years of experience in software development with Python; TypeScript or JavaScript a plus.
In-depth understanding of modern SaaS application architecture and best practices.
Strong experience with relational databases (PostgreSQL) and at least one NoSQL store (MongoDB preferred).
Comfortable writing and optimizing analytical SQL over large datasets (Athena, BigQuery, Snowflake, or equivalent).
Demonstrated experience building and operating microservices in a cloud-native environment, preferably AWS.
Experience with asynchronous, message-driven systems (Kafka, SQS, or similar).
Hands-on experience using AI development tools (Claude, Cursor, Copilot) in day-to-day engineering.
Strong organizational skills with the ability to prioritize effectively.
A Bachelors degree in Computer Science, Engineering, or equivalent experience.
Self-motivated with a passionate approach to work.
Familiarity with frameworks such as FastAPI and NestJS - an advantage.
Experience with workflow orchestration (Dagster, Airflow, Prefect, or similar) - an advantage.
Background in the Cyber Security or Data Security domain (DSPM, DLP, DDR, or data governance) - an advantage.
ML pipeline or NLP exposure - an advantage.

This position is open to all candidates.

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07/10/2026

Software Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking a Software Engineer to join our core development team. You will design, build, and ship the platform that powers discovery, session-aware detection, policy governance, and runtime enforcement across workstations, SaaS, and cloud. You will work on scalable, low-latency services that process agent activity in real time and enforce security policies without slowing builders down. This role requires strong engineering fundamentals, a focus on system reliability, and an interest in the unique challenges of agentic security.

Responsibilities
Design and Implement Services: Design, develop, and deploy scalable backend services and APIs for the Security platform (customer and admin APIs, detection ingestion, aggregation, and control-plane services).

Build Core Features: Implement features for agent/MCP/skill discovery, session and intent-aware detection, policies, and runtime enforcement across coding agents and enterprise AI platforms.

Optimize Runtime Protection: Maintain and optimize high-throughput detection and enforcement pipelines that operate at enterprise scale (ingestion, detectors, verdicts, and policy dispatch).

Integrate with Platforms: Build and deepen integrations with coding agents, SaaS AI platforms, identity providers, EDR, SIEM, and outbound action systems to ingest telemetry and enforce controls.

Ensure Reliability: Focus on code quality, performance, monitoring, and stability through robust testing, CI/CD, and operational excellence.

Collaborate with Research: Partner with the AI Security Research team to turn findings, signatures, and heuristics into production-ready detectors and enforcement logic.

Contribute to Architecture: Participate in technical design and architectural reviews across our codebases, agents, and event-driven backend services.

Stay Current: Continuously learn and apply new technologies, development methodologies, and security best practices.

Requirements:
BSc./MSc. in Computer Science or equivalent industry experience.

5+ years of professional software development experience, preferably building scalable distributed systems.

Proficiency in TypeScript and Node.js with a preference for backend development. Experience with Go or Python is a plus.

Hands-on experience working with coding agents (e.g., Cursor, Claude Code) is a must, including practical use of agentic capabilities such as MCP servers, Skills, hooks, and similar agent tooling.

Experience with cloud computing platforms (preferably AWS) and containerization (Docker, Kubernetes).

Solid understanding of system design, data structures, algorithms, and microservices architecture.

Familiarity with databases (SQL and NoSQL) and event streaming technologies (e.g., Kafka).

Demonstrated ability to write clean, efficient, and well-tested code.

Curious, self-driven, and eager to contribute to a rapidly evolving field like agentic security.

This position is open to all candidates.

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21/10/2026

Data Product Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a Data Products Engineer to take full ownership of our internal product suite - the full-stack applications, AI agent tools, and automation pipelines that power teams across the entire company every day. You will step into an established ecosystem and take the reins. Your mission is to maintain, evolve, and build the next generation of these internal tools so every department can move faster and make smarter, data-driven decisions.

Reporting directly to the VP of CS & Data, this is a high-autonomy, tech-lead role. You wont just write code; you will make architectural decisions, solve complex domain challenges with smart software, and shape how the entire company interacts with data.

How will your day-to-day look?
Own the Internal Product Suite: Lead the development of our core full-stack applications. You will build and scale the central platforms and dashboards that give Product, CS, Sales, and executive leadership visibility into product usage, account health, business performance and more.
Advance the Internal AI Layer: Design, deploy, and refine custom agentic AI workflows - enabling teams across the organization to query complex B2B and product data naturally and conversationally.
Engineer Smart Automations: Architect workflow automations and custom APIs that pipe downstream data directly into the operational tools our teams use every day.
Bridge Data and Software: Partner seamlessly with Data Ops and Data Analysts to transform raw data models into highly usable, intuitive user interfaces and automated actions.
Run the Infrastructure: Own the end-to-end DevOps lifecycle for our internal applications, managing deployment, containerization, observability, and CI/CD pipelines.
Drive Technical Strategy: Act as the technical anchor for internal tools. You will translate high-level product and business challenges from company leaders into shipped, reliable software.

Requirements:
What you'll need to thrive in this role
Full-Stack Software Engineering Expertise: Demonstrated track record of delivering end-to-end products with strong proficiency in React and Next.js..
Hands-on AI Agent Development: Practical experience leveraging tools like Claude Code, Codex, or Cursor, paired with a solid grasp of agentic infrastructure, custom tooling, and MCP server integrations.
Solid understanding of data concepts: (SQL, familiarity with data warehouses like BigQuery/Snowflake).
DevOps & Infrastructure fluency: Familiarity with Docker, CI/CD pipelines, Cloud Run (or equivalent serverless execution environments), and API workflow orchestration tools (like n8n or Zapier).

Mindset & Execution
"Builder" Energy: You bring a proactive, hands-on approach to your work. You prioritize shipping high-value, functional tools to solve problems quickly, rather than waiting for ready-made PRD docs or perfect specifications. You prefer building and iterating to drive progress and impact.
Business & Product Curiosity: You care about why a tool is being built and how teams across Product, GTM, and Operations will use it to make better decisions and drive business value.
Architectural Judgment: You can hold complex system integrations in your head, understand how web apps and AI services interact with data layers, and choose simple, resilient solutions over over-engineered ones.
High Ownership: High autonomy. You are comfortable running your own priorities, communicating trade-offs to executives, and guiding the technical direction of internal software.
Bonus points if you have
Hands-on experience building or tuning LLM/AI agent workflows, prompt architecture, or MCP servers.
Experience developing internal tooling, data products, or SaaS features for Product, Revenue Operations, or GTM teams.
Exposure to self-hosted tools like Metabase, LibreChat, or n8n.

This position is open to all candidates.

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01/11/2026

Software Engineer - Data Collection Team

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a talented Engineer to join one of the most strategic and impactful teams in the company.

Our Integration team is the backbone of the organization, connecting all security ecosystems into one intelligent platform. The team plays a critical role in enabling everything we do, and its impact is felt across the entire business.

In this role, you will build and manage integrations with enterprise environments, security platforms, cloud infrastructures, and third-party systems. You will work on complex technical challenges involving APIs, data flows, automation, scalability, and system connectivity.

This is a highly cross-functional position with direct collaboration across R&D, Product, Customer Success, and Solution Engineering teams.

What you will do

Design, implement, and maintain integrations between multiple products and systems via APIs.

Solve complex data and scalability challenges, ensuring the platform efficiently handles large volumes of data.

Collaborate with cross-functional teams to understand requirements and deliver integration solutions that meet business needs.

Define best practices for data handling, API usage, and integration workflows.

Ensure the integrity, reliability, and performance of integrated systems.

Requirements:
3+ years of professional software development experience, with strong fundamentals in backend development.

Hands-on experience working with APIs - authentication flows, pagination, rate limiting, and error handling.

Strong code comprehension and system-level thinking - able to trace data end-to-end across an integration, from API response parsing through failure handling and edge case reasoning.

Familiarity with cloud environments (AWS, GCP, or Azure) and experience working with queuing or event-driven patterns (e.g. SQS, Kafka, or similar).

Proactive problem-solver who identifies gaps and drives improvements in infrastructure, tooling, and processes.

Strong problem-solving skills and the ability to work in a fast-moving environment.

Experience working with multiple data sources, schemas, and storage technologies; familiarity with data transformation patterns is a plus.

Prior experience as a Data Analyst, Data Engineer, or similar role is a plus.

This position is open to all candidates.

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15/10/2026

Senior Backend Engineer (AI DLP)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a Senior Backend Engineer (AI DLP) to join the team building our next-generation DLP product. The team is extending our data-security platform from understanding sensitive data at rest to protecting it at the moment it is used or shared-including across browsers, GenAI applications, and employee endpoints.

You will help build the control plane behind this product: the services that manage endpoint identity and enrollment, policies, classification, device configuration, telemetry, and the connection between our DSPM intelligence and real-time DLP decisions. This is a role with substantial technical ownership, direct customer impact, and close collaboration across Product, Research, Data, Frontend, and Infrastructure.

Responsibilities
Design and implement core backend components of our DLP control plane.
Own features end-to-end: architecture, implementation, testing, rollout, observability, and production operation.
Build secure, reliable multi-tenant services that communicate with browser extensions and endpoint agents deployed across customer endpoint fleets.
Connect our DSPM classification and policy systems with real-time endpoint enforcement, translating data-at-rest intelligence into actionable protection.
Design APIs and data models that support large endpoint fleets, frequent policy updates, offline clients, credential rotation, and safe software upgrades.
Improve the scalability, performance, reliability, and operational visibility of the DLP platform.
Conduct design and code reviews and help establish strong engineering practices.

Requirements:
6+ years of professional software-development experience, with significant experience building backend systems.
Strong experience designing, building, and operating cloud-native microservices and REST APIs in production.
In-depth understanding of modern SaaS architecture, multi-tenancy, distributed systems, and secure service-to-service communication.
Experience with both relational and NoSQL databases; hands-on experience with MongoDB is an advantage.
Experience deploying and operating services on AWS and Kubernetes, including monitoring, troubleshooting, and production ownership.
Strong understanding of authentication, authorization, credential lifecycle, tenant isolation, and secure API design.
Ability to work effectively across system boundaries and unfamiliar technology stacks.
Strong product judgment and the ability to turn evolving requirements into simple, maintainable technical designs.
Self-motivated, pragmatic, and comfortable taking ownership in a fast-moving startup.
Bachelors degree in Computer Science, Engineering, or equivalent practical experience.

This position is open to all candidates.

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06/10/2026

Backend & Data Platform Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time and Hybrid work

We are looking for a Backend Engineer with deep data engineering expertise to build and evolve the systems that power product, analytics, experimentation, and AI development.
You will work across production backend services and data infrastructure, taking technical ownership of the full data lifecycle - from event ingestion and real-time processing to orchestration, modeling, quality, and reliable data access. This role combines hands-on backend development with ownership of shared data platform, working closely with backend, frontend, AI, DevOps, analytics, and product teams.
What you'll do:
Build and maintain production-grade Python and Java backend services, APIs, and reactive data-processing pipelines with clear interfaces, resilient failure handling, and comprehensive observability.
Own and evolve batch and streaming data pipelines supporting product analytics, learner insights, experimentation, and AI model training.
Design and maintain trusted data models, shared metrics, and semantic-layer business logic across the analytical data platform.
Define and enforce standards for data contracts, testing, lineage, freshness, and observability.
Develop reliable approaches to schema evolution, backfills, replay, workload distribution, and failure recovery.
Collaborate with DevOps, backend, frontend, AI, analytics, and product teams to deliver reusable data capabilities and maintain clear system boundaries.

Requirements:
At least 6 years of production software engineering experience, primarily in backend systems, including meaningful ownership of data-intensive platforms or infrastructure.
Strong proficiency in Python, Java, and SQL, with experience in testing, typing, performance optimization, and production debugging.
Strong backend engineering fundamentals, including service and API design, asynchronous and concurrent processing, failure handling, and operational reliability.
Experience with relational and non-relational databases such as PostgreSQL, Redis, or MongoDB.
Hands-on experience with AWS, Docker, Kubernetes, CI/CD, and production observability.
Deep experience designing and operating ETL/ELT pipelines and batch or streaming data systems.
Hands-on production experience with Apache Flink for distributed stream processing.
Hands-on production experience building reactive data-processing pipelines with RxJava/Project Reactor, including backpressure, scheduling, error handling, testing, and operational debugging.
Experience with event-driven architectures and messaging systems such as Kafka or AWS SQS.
Strong understanding of data modeling, warehouse and lakehouse architecture, schema evolution, and data quality.
Hands-on experience with dbt for data modeling, testing, documentation, lineage, and semantic-layer development.
Hands-on experience with at least one analytical data platform such as Snowflake, Databricks, ClickHouse, Athena, Trino, or Dremio.
Hands-on experience with at least one dataframe library: Pandas, Polars, or Daft.
Experience with workflow orchestration tools such as Airflow or Dagster.
Clear communication skills and a strong ownership mindset, with a track record of leading cross-functional technical initiatives through to production.

This position is open to all candidates.

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04/10/2026

Software Developer - WAF SaaS Features REF299I

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Key Responsibilities
We are looking for a passionate Software Developer to join our WAF SaaS Platform team, where we build, evolve, and operate our companys cloud-native WAF SaaS product.
In this role, you will develop new SaaS product capabilities while also building and operating the cloud infrastructure that powers the platform. You will work across backend services, Kubernetes environments, automation, CI/CD, monitoring, and, when needed, frontend components.
We are looking for a strong team player with a high sense of ownership, a get-things-done mindset, and the willingness to contribute across all areas of development - from UI and backend to DevOps and cloud infrastructure.
Major Responsibilities
Develop new features and capabilities for our companys WAF SaaS product, with a focus on backend services, cloud infrastructure, and DevOps-oriented development
Design, build, and maintain cloud-native infrastructure that supports customer environments, production workloads, and global SaaS deployments
Take part in creating and operating new POPs, improving customer environment provisioning, and evolving the platforms scalability and availability
Develop SaaS product capabilities such as certificate management, CDN-related flows, DDoS-related capabilities, onboarding flows, and other customer-facing platform features
Work with cloud services, CI/CD pipelines, monitoring, logging, and automation tools
Take end-to-end ownership of features and infrastructure components, from design and implementation through deployment, observability, support, and production operation
Build and maintain dashboards, alerts, and operational tools, using data and metrics to improve reliability, performance, and product decisions
Collaborate closely with developers, DevOps engineers, product managers, security researchers, support teams, and other stakeholders
Support production environments, investigate customer issues, and understand the real-world impact of features, bugs, and infrastructure changes.

Requirements:
3+ years of experience as a software developer, DevOps engineer, infrastructure engineer, or in a similar cloud-oriented development role
B.Sc. in Computer Science / Software Engineering or equivalent practical experience
Strong programming skills in Python, Node.js, or a similar programming language
Hands-on experience with containerized environments using Docker and Kubernetes, including deployment, configuration, troubleshooting, and production workloads
Experience working with cloud platforms, preferably AWS
Experience with CI/CD pipelines, automation, and deployment processes
Experience working with databases, preferably NoSQL databases such as MongoDB
Understanding of production systems, including scalability, availability, monitoring, logging, and incident investigation
Experience using AI-powered development tools and integrating AI capabilities into daily development workflows
Preferred Qualifications
Experience with caching, messaging, and streaming technologies such as Redis or Kafka
Hands-on experience with infrastructure-as-code tools such as Terraform, including writing providers
Experience with frontend development using React, TypeScript, HTML, and CSS
Experience with observability and search platforms such as Elastic Stack and Grafana
Familiarity with GraphQL.

This position is open to all candidates.

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04/10/2026

Senior Backend Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a Senior Backend Engineer to join a high-impact, multi-disciplinary team building a customer-facing product trusted by health industry specialists. This team is solving complex technical challenges with a modern stack to power core growth engine.
In this role you will collaborate closely with other R&D, Product, and Data teams.
What Youll Do :
Architect & Build: Design and construct high-performance, production-grade backend systems and applicative services built for reliability and maintainability.
Own E2E Lifecycle: Take complete end-to-end ownership of backend features from concept to production- including architectural design, testing, shipping, and active monitoring.
Cross-Domain Collaboration: Partner closely with Product Managers, Data Scientists, and R&D teams to translate complex data pipelines and product needs into scalable technical solutions.
Elevate Engineering Standards: Participate in rigorous code reviews, establish architectural best practices, and help mentor team members across the organization.

Requirements:
7+ years of hands-on experience building, deploying, and operating large-scale, production cloud systems end-to-end.
Strong Computer Science foundations: Solid grasp of software design principles, concurrency, data structures, and cost/performance trade-offs.
Cloud-Native & Event-Driven Systems: Hands-on experience designing and operating cloud-native, event-driven architectures and working with modern databases (SQL, NoSQL, or vector DBs).
Language Proficiency: Deep proficiency in **Python** (or equivalent backend languages).
Cross-Domain Adaptability: Comfortable working across backend contexts, including data pipelines, backend core logic, and applicative microservices.
Ownership Mindset: A strong sense of personal accountability and a proven track record of taking complex backend systems from zero to production.
Education BSc in Computer Science, Software Engineering, or equivalent practical experience.
Advantages :
AI Agent Workflows Experience building or integrating AI agents, LLM orchestration, or modern AI frameworks into production services.
DevOps & CI/CD: Hands-on experience setting up robust, automated CI/CD pipelines and infrastructure-as-code.
Full Stack Flexibility: Prior exposure to modern Frontend/UI frameworks (e.g., React, TypeScript)

This position is open to all candidates.

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חברת השמה / כח אדם

28/10/2026

Software Engineer, Lakehouse (Data Platform Group)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We're looking for an experienced Software Engineer to join our Data Platform Group. In this key role, you will build the company data platform: cloud-based microservices and data pipelines that process on the order of 1M records/sec at low latency. Because the platform is the foundation other groups build on, your work has a direct impact on our customers and enables engineering, product, and research teams across the organization.
The Lakehouse team owns the data itself - how it is stored, organized, retained, and served. We own our analytical storage layer, the batch processing built on top of it, and the APIs through which customers and the rest of the company consume data. If you enjoy the problems that only appear at petabyte scale - physical data layout, query performance, storage cost, and retention - this is the role.
Responsibilities:
End-to-end ownership of our large-scale analytical storage layer: data modeling, schema and table design, partitioning, retention, and query performance.
Design and develop the batch processing layer over our data lake using Spark on EMR (Java and PySpark).
Build and evolve Java/Spring Boot services that expose our data through well-defined APIs to customers and to consumers across the company.
Own performance and cost: query optimization, file layout and compaction, cluster sizing, and storage efficiency at scale.
Research new technologies in the lakehouse and analytical-storage space and adapt them for use in our product.
Work closely with product, DevOps, and security teams.

Requirements:
5+ years of hands-on experience designing and developing large-scale distributed data systems in production, with a strong emphasis on performance.
Deep, hands-on expertise in at least one of the following, at a significant scale:
A columnar/analytical database - ClickHouse is a major advantage, including data modeling, query optimization, and operating it in production
Apache Spark at an expert level, including tuning and optimizing large batch jobs.
Experience with open table formats such as Iceberg, Delta Lake, or Hudi
Experience with data lake technologies: Parquet, S3, and SQL query engines such as Athena, Trino, or Presto.
Strong command of analytical data modeling and the design principles behind it: partitioning strategies, denormalization, batch vs. streaming trade-offs, and schema evolution.
Strong Java and solid understanding of object-oriented design and software engineering principles.
Experience building and running microservices on Kubernetes.
Hands-on experience with the AWS platform, particularly EMR, S3, and Glue.
Motivated, fast, independent learner and strong problem solver.
A team player with excellent collaboration and communication skills.
B.Sc. in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

This position is open to all candidates.

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8875438

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חברת השמה / כח אדם

28/10/2026

Software Engineer - Networking Group

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a passionate and experienced Software Engineer to join our Networking Group.
In this role, you will play a key part in developing our cloud-based, proprietary networking and security management solutions.
You will also design and implement highly scalable processes for gathering and analyzing real-time network statistics, events, and large-scale data.
Responsibilities:
End-to-end backend development: from processing large-scale data to designing efficient microservices.
Develop and enhance high-performance, scalable services.
Improve the reliability, security, and scalability of existing infrastructure.
Work closely with cross-functional teams including Product, Data, Security, and UX.
Research and adopt new technologies to improve our products.

Requirements:
4+ years of hands-on experience in backend development.
Strong expertise in Java, and Spring Boot, (Go - advantage).
Experience with using and implementing RESTful APIs (GraphQL - advantage)
Basic understanding of networking concepts (e.g., TCP/IP, DNS, DHCP, VPN, network protocols).
Deep understanding of Object-Oriented Programming and software engineering principles.
Experience with databases: NoSQL (Elasticsearch, Redis, MongoDB) and relational (MySQL, PostgreSQL).
Familiarity with microservices architecture and technologies (Docker, K8S).
Experience with AWS technologies - advantage
Proven experience in big data applications - advantage.
Experience with FE technologies and JavaScript - advantage (React and TypeScript - big advantage)
Experience working with AI tools such as Claude, codex- advantage
Strong problem-solving skills, self-learning ability, and team collaboration mindset.
B.Sc. in Computer Science or equivalent.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8875441

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