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15/01/2026
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25/02/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Were building the next generation of autonomous cybersecurity technology - systems that think like attackers to continuously uncover security gaps in enterprise environments.
As a Senior Engineer in our Attack Simulation Platform team, youll design and build the engines, data models, and intelligent agents that simulate advanced adversaries across large-scale networks. Youll combine strong software-engineering skills with deep security intuition to create systems that mirror human attacker behaviour and discover real weaknesses before attackers do.
The Responsibilities
Design and build AI-driven agents that emulate adversarial behaviours such as lateral movement, privilege escalation, and persistence.
Develop core simulation and orchestration components in Go (primary language) and integrate with in-house AI models.
Model and simulate attack paths across complex enterprise environments (identity, endpoint, network, and cloud).
Collaborate with red-teamers, researchers, and data scientists to translate threat intelligence and real attack TTPs into executable logic.
Contribute to architecture decisions, scalability, and performance optimization for distributed simulations.
Requirements:
7+ years of hands-on software engineering experience in a modern language (Go preferred; Python, Node.js, or C++ also great).
Strong cybersecurity engineering background - Deep understanding of attacker TTPs, lateral movement, privilege escalation, credential abuse, and network exploitation.
Familiarity with enterprise security environments (Active Directory, cloud infrastructure, EDR/XDR, network segmentation).
Advantages:
Experience building AI/ML-driven systems or agent-based simulations.
Experience as a red teamer, penetration tester, or security researcher.
Knowledge of graph modelling or graph databases (e.g., Neo4j) for attack-path representation.
This position is open to all candidates.
 
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04/02/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Senior Backend & LLM Applications Developer at our company, you will design and build scalable backend systems while integrating advanced AI capabilities into production. You will work with Large Language Models (LLMs), agentic AI, and AI agents, making key architectural and technical decisions that shape how AI powers our products for the Care Network.
As part of our fast-growing R&D team, you will drive core infrastructure development, contribute to platform scalability, and help advance cutting-edge AI technology that improves the lives of older adults.
What Youll Do
Design and develop scalable backend services and cloud-based infrastructure (AWS) using microservices architecture
Take end-to-end ownership of complex backend systems and development projects, from design to production
Drive performance, reliability, security, and scalability of core platform services
Integrate AI and LLM capabilities into backend systems, including prompt optimization and production readiness
Collaborate with Product and Data teams to deliver AI-enabled features
Research, prototype, and lead the adoption of new backend technologies, with selective adoption of AI models and tools into production.
Requirements:
6+ years of experience in backend / software engineering, with proven experience designing and developing high-performance, distributed systems
Strong proficiency in Python and Node.js
Proven experience working in cloud environments (AWS preferred; GCP/Azure acceptable)
Hands-on experience with microservices, containerized environments (Kubernetes), and CI/CD pipelines (GitHub Actions, TeamCity)
Experience with message queuing and streaming systems such as Kafka and/or SQS
Strong understanding of SQL and NoSQL databases, large-scale data flows, and data-driven systems
Experience in developing and deploying LLM agents to production (via Langgraph, Langchain, etc.)
Strong collaboration and communication skills, both Hebrew & English.
This position is open to all candidates.
 
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25/02/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're building our company's Cyber Threat Intelligence platform - an AI-first product that harvests, contextualizes, and serves threat intelligence at scale. We're looking for a Python-native backend engineer to own the infrastructure that makes this possible.
You'll design and build the systems that power both agentic AI workloads and large-scale data orchestration - exposing CTI insights as a service to UI components, APIs, and autonomous agents across the company ecosystem. This is a greenfield opportunity where you'll shape foundational architecture decisions on a new product with a small, high-impact team.
The Responsibilities
Shape and build our data lake architecture, orchestration layer, and data access patterns.
Build the tooling and infrastructure that enables AI agents to consume and reason over threat data.
Develop systems that harvest data from open and dark web sources, cross-reference signals, and contextualize raw intelligence into actionable insights.
Serve curated CTI data to various consumers - dashboards, internal services, and other agents in the company platform.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Create developer tooling and experiences that make the platform usable for other engineers building on top of it.
Requirements:
5+ years of backend development experience, primarily in Python.
Experience building and operating data pipelines, data lakes, or large-scale data infrastructure.
Strong data modeling skills - you think carefully about how data is structured, accessed, and flows through systems.
Experience with distributed systems and the challenges they bring (consistency, failure modes, debugging across services).
Familiarity with microservices architecture and tooling (Docker, Kubernetes).
Experience with NoSQL databases.
Track record of bootstrapping projects and building systems from scratch.
High independence - you thrive with autonomy and ownership in ambiguous environments.
Advantages:
Experience building infrastructure projects or internal platforms.
Background in developer experience (DevEx) initiatives or tooling.
Data management at scale - ETL, data quality, governance.
Experience in cybersecurity, threat intelligence, or related domains.
Familiarity with AI/agentic application patterns and how they consume data.
Experience with graph databases.
Networking knowledge (protocols, flows, traffic analysis).
Startup or small-team experience.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Senior Backend & LLM Applications Developer.
As a Senior Backend & LLM Applications Developer, you will design and build scalable backend systems while integrating advanced AI capabilities into production. You will work with Large Language Models (LLMs), agentic AI, and AI agents, making key architectural and technical decisions that shape how AI powers our products for the Care Network.
As part of our fast-growing R&D team, you will drive core infrastructure development, contribute to platform scalability, and help advance cutting-edge AI technology that improves the lives of older adults.
What Youll Do:
Design and develop scalable backend services and cloud-based infrastructure (AWS) using microservices architecture
Take end-to-end ownership of complex backend systems and development projects, from design to production
Drive performance, reliability, security, and scalability of core platform services
Integrate AI and LLM capabilities into backend systems, including prompt optimization and production readiness
Collaborate with Product and Data teams to deliver AI-enabled features
Research, prototype, and lead the adoption of new backend technologies, with selective adoption of AI models and tools into production
Requirements:
6+ years of experience in backend / software engineering, with proven experience designing and developing high-performance, distributed systems
Strong proficiency in Python and Node.js
Proven experience working in cloud environments (AWS preferred; GCP/Azure acceptable)
Hands-on experience with microservices, containerized environments (Kubernetes), and CI/CD pipelines (GitHub Actions, TeamCity)
Experience with message queuing and streaming systems such as Kafka and/or SQS
Strong understanding of SQL and NoSQL databases, large-scale data flows, and data-driven systems
Experience in developing and deploying LLM agents to production (via Langgraph, Langchain, etc.)
Strong collaboration and communication skills, both Hebrew & English
This position is open to all candidates.
 
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7 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a skilled Senior Backend Engineer to join our team and help us build Cognition, a multi-agent AI platform. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies.You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.
What Youll Do:
Design and develop scalable, high-performance backend services and APIs
Implement integrations with AI platforms and services
Work with AI specialists to translate AI capabilities into production-ready features
Ensure high reliability, performance, and security of AI-powered systems
Collaborate with product and engineering teams to gather requirements and deliver solutions
Requirements:
Proven Backend Expertise: 5+ years of professional experience, with astrong foundation in building and maintaining robust backend systems for large-scale consumer or enterprise products.
Technical Mastery: Advanced proficiency in at least one modern backend language (TypeScript and Node.js), with hands-on experience developing production-grade APIs and microservices. Experience with Lambda functions is a big plus.
Scalable Systems Builder: Demonstrated experience architecting and delivering high-availability services and distributed systems, leveraging patterns for reliability, performance, and security.
Cloud-Native Engineering: Deep familiarity with cloud platforms (AWS, GCP, or Azure), including hands-on experience with serverless technologies (e.g., AWS Lambda), infrastructure-as-code, and automated deployment pipelines.
Data Fluency: Solid experience with both SQL and NoSQL databases; knowledge of vector databases and embedding/search technologies is a big plus.
AI Platform Integration: Experience integrating with modern AI services (OpenAI, Hugging Face, etc.), and enthusiasm for collaborating with ML/AI specialists to bring LLMs, RAG, and conversational AI capabilities into production.
Results-Oriented Delivery: A track record of shipping consumer-facing features at scale, collaborating closely with both product and engineering teams.
Forward-Thinking Problem Solver: Eager to explore new technologies, solving complex problems using both solid engineering fundamentals and innovative approaches.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo
Job Type: More than one
We are seeking an exceptional Senior Backend Engineer to join our Platform Group, where you will architect and develop shared infrastructure components that power Semperis's enterprise security and identity products. This is a highly collaborative role requiring both technical excellence and strong cross-functional partnership skills.
What You'll Do:
As a Senior Backend Engineer on our Core Platform team, you will:
Design and build shared platform components used across multiple product teams, ensuring scalability, reliability, and maintainability
Architect distributed systems using microservices and event-driven patterns that support enterprise-scale workloads
Own critical backend services from conception through deployment, including code quality, performance optimization, and operational excellence
Collaborate extensively with product engineers, DevOps, and architects to define platform capabilities and technical standards
Mentor junior engineers through code reviews, pair programming, and technical guidance
Drive technical initiatives that improve developer productivity, system observability, and platform resilience
Contribute to architectural decisions and establish best practics for backend development across the organization
Analyze system performance and data patterns to identify optimization opportunities and inform future platform investments
Requirements:
7+ years of professional software engineering experience, with strong expertise in backend development
Deep proficiency in C# and .NET Core, including modern framework features and performance optimization
Production experience with Kubernetes and container orchestration in cloud environments (Azure/AWS/GCP preferred)
Proven track record designing and implementing microservices architectures and event-driven systems at scale
Experience developing shared libraries, frameworks, or platform components consumed by multiple teams
Demonstrated ability building enterprise SaaS applications serving high-volume, multi-tenant environments
Strong collaborative mindset with excellent communication skills and experience working across teams to drive consensus
Bachelor's degree in Computer Science or equivalent practical experience
Technical leadership experience, including mentoring engineers and leading technical initiatives
Fluency in English (written and verbal)
Preferred Qualifications:
Experience in the Enterprise Identity and Access Management (IAM) domain
Hands-on expertise with Kafka, RabbitMQ, or similar message brokers
Knowledge of ElasticSearch or other distributed search/analytics platforms
Open-source contributions or experience maintaining shared component libraries
Experience with observability tools (Prometheus, Grafana, distributed tracing)
Background in API design and governance for platform services
Familiarity with CI/CD pipelines and infrastructure-as-code practices
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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02/03/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a Senior Backend Engineer with deep backend engineering expertise and proficiency in one or more major programming languages (e.g., Python, Java, Go, Rust, or Kotlin), along with a strong understanding of AI models and agents. As a core member of our AI Engineering team, you will collaborate with data scientists, ML engineers, and product managers to build scalable, production-ready infrastructure and APIs that power intelligent systems.

What you'll be doing:

As a Senior Backend Engineer in the AI Engineering team, you will:

Build and maintain reliable, scalable backend services to support AI agent execution and orchestration.
Develop AI agent systems for complex operational workflows using LangChain, LangGraph, LiteLLM, and Langfuse.
Orchestrate a hybrid model stack that includes OpenAI and Google Gemini alongside self-hosted and fine-tuned LLMs like Gemma and Llama.
Build and maintain integrations with clinical systems (FHIR, EMR).
Drive observability and reliability using OpenTelemetry, Datadog, and Langfuse.
Design APIs (GraphQL, REST), background workers, and event-driven systems that interface with AI inference engines and agent runtimes.
Collaborate with Data Science, ML, and engineering teams to deploy AI features and improve the performance, scalability, and reliability of backend systems.
Participate in code reviews, knowledge sharing, and mentoring to elevate the teams technical capabilities.
Requirements:
What we're looking for:

6+ years of backend engineering experience, with strong proficiency in more than one major programming language (such as Python, Java, Go, Rust, or Kotlin).
Solid understanding of AI systems architecture and experience working in environments involving AI agents, LLMs, or inference pipelines.
Proven experience in building and scaling backend APIs, microservices, and background jobs.
Strong experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Redis), including schema design, data modeling, and query optimization.
Experience with message brokers and distributed systems (e.g., Pub/Sub, Redis Streams, RabbitMQ).
Highly adaptable, a strong team player, with the ability to quickly learn and apply new technologies.

Advantages:

Strong proficiency in Python and/or Node.js/NestJS.
Experience with clinical systems and healthcare data standards (FHIR, EMR/EHR).
Hands-on experience with AI agent frameworks such as LangChain, LangGraph, or LiteLLM.
Experience orchestrating hybrid model stacks combining commercial APIs (OpenAI, Google Gemini) with self-hosted or fine-tuned LLMs.
Familiarity with observability tools for AI systems (Langfuse, OpenTelemetry).
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required AI Backend Engineer
Tel Aviv-Yafo, Gush Dan, Israel
We offer the industrys only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
About the Role:
As the AI Backend engineer, you will join a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll utilize technical skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.
This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.
What youll do:
Design, develop, and maintain backend services for AI agents and tool integrations using latest technologies
Build scalable APIs and microservices that interface with LLMs and AI frameworks
Implement agent orchestration systems, tool calling mechanisms, and workflow engines
Optimize performance and reliability of AI-powered applications at scale
Develop data pipelines for training, evaluation, and monitoring of AI systems
Integrate with various LLM providers (OpenAI, Anthropic, etc.) and manage API interactions.
Requirements:
What youll need:
Excellent coding skills in Python/TypeScript, with at least 5 years of hands-on experience building reliable backend services, agents and tooling. Familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) is a strong advantage.
Experience designing, deploying, and maintaining production systems that integrate ML components, including APIs, microservices, model serving layers, feature pipelines, monitoring, and CI/CD/MLOps workflows.
Solid experience with AI related contexts Understanding of prompt engineering and LLM optimization techniques, RAG architecture
Solid understanding of distributed systems concepts, performance optimization, observability, and operating services at scale.
Strong communication skills, with the ability to bridge technical, product, and business perspectives.
Prior experience in cybersecurity, fraud prevention, or identity management is a plus, especially with secure system architectures or ML-augmented decisioning systems.
Advantages:
Experience integrating with LLM APIs (OpenAI, Anthropic Claude, etc.)
Experience with agent frameworks (LangChain, LlamaIndex, AutoGPT)
Background in ML/AI concepts and model deployment
Experience with message queues (RabbitMQ, Kafka) and event-driven architectures
Experience with function calling and tool use patterns in LLMs.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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16/02/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Data Platform Engineer to design, build, and scale our next-generation data platform, the backbone powering our AI-driven insights.
This role sits at the intersection of data engineering, infrastructure, and MLOps, owning the architecture and reliability of our data ecosystem end-to-end.
Youll work closely with data scientists,r&d teams, analysts to create a robust platform that supports varying use cases, complex ingestion, and AI-powered analytics.
Responsibilities:
Architect and evolve a scalable, cloud-native data platform that supports batch, streaming, analytics, and AI/LLM workloads across R&D.
Help define and implement standards for how data is modeled, stored, governed, and accessed
Design and build data lakes and data warehouses
Develop and maintain complex, reliable, and observable data pipelines
Implement data quality, validation, and monitoring frameworks
Collaborate with ML and data science teams to connect AI/LLM workloads to production data pipelines, enabling RAG, embeddings, and feature engineering flows.
Manage and optimize relational and non-relational datastores (Postgres, Elasticsearch, vector DBs, graph DBs).
Build internal tools and self-service capabilities that enable teams to easily ingest, transform, and consume data.
Contribute to data observability, governance, documentation, and platform visibility
Drive strong engineering practices
Evaluate and integrate emerging technologies that enhance scalability, reliability, and AI integration in the platform.
Requirements:
7+ years experience building/operating data platforms
Strong Python programming skills
Proven experience with cloud data lakes and warehouses (Databricks, Snowflake, or equivalent).
Data orchestration experience (Airflow)
Solid understanding of AWS services
Proficiency with relational databases and search/analytics stores
Experience designing complex data pipelines, managing data quality, lineage, and observability in production.
Familiarity with CI/CD, GitOps, and IaC
Excellent understanding of distributed systems, data partitioning, and schema evolution.
Strong communication skills, ability to document and present technical designs clearly.
Advantages:
Experience with vector databases and graph databases
Experience integrating AI/LLM workloads into data pipelines (feature stores, retrieval pipelines, embeddings).
Familiarity with event streaming and CDC patterns.
Experience with data catalog, lineage, or governance tools
Knowledge of monitoring and alerting stacks
Hands-on experience with multi-source data product architectures.
This position is open to all candidates.
 
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3 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
XM Cyber is a global leader in hybrid cloud security. XM Cyber brings a new approach that uses the attacker’s perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. The XMCyber platform enables companies to rapidly prioritize andrespond to cyber risks affecting their business-sensitive systems. About the role: Are you a super-talent Senior Software Engineer with a deep passion for cybersecurity and a profound understanding of AI-driven attack techniques? We are looking for a highly professional and responsible R&D member to join our team. This role is for someone who thrives on technical challenges and is ready to leverage their expertise to identify, analyze, and defend against advanced cyber threat Responsibilities: As a Senior Software Engineer in R&D, you will be a key player in the design, development, and deployment of our cybersecurity platform. Your responsibilities will include:
* Leading the research and implementation of techniques to identify and mitigate AI-related attack methods, such as data manipulation and adversarial attacks on security systems.
* Developing and integrating new security features into our platform to proactively defend against modern cyber threats.
* Collaborating with our team to define technical requirements and architectural solutions for cutting-edge security features.
* Tackling challenging technical problems at the intersection of cybersecurity and low-level systems.
Requirements:
* Minimum of 5 years experience in software development
* Background in cybersecurity is a plus.
* Languages: Extensive experience with Java, JavaScript/TypeScript, or Scala.
* Distributed Systems: Proficiency with Node.js, Apache Flink, Apache Spark, and Apache Airflow.
* Containerization & Orchestration: Strong knowledge of Docker and Kubernetes (K8s).- MUST
* Microservices: Experience designing and implementing microservices architectures.- MUST
* Big Data: Hands-on experience with big data technologies and processing.
* Bonus: AI Knowledge
This position is open to all candidates.
 
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