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MLOps Engineer - AI Infra Group Thu, 15 Jan 2026 18:21:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, מחשבים ורשתות, מהנדס תוכנה, הנדסה, מהנדס תוכנה, NLP/Machine Learning, ניהול ביניים, Senior DevOps, Senior DevOps
סוג/היקף המשרה:
משרה מלאה
We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world production-grade AI infrastructure. This group builds scalable, high-performance AI systems for internal users and external customers, designed to run seamlessly across cloud and on-premise environments using the latest hardware advancements.
:Responsibilities Design, build, and maintain scalable Kubernetes-based infrastructure for ML workloads across on-premise and cloud environments Architect hybrid infrastructure solutions enabling seamless model flow from on-premise training environments to cloud-based inference deployments Implement model registry and artifact management strategies that support cross-environment synchronization, versioning, and governance Design secure, efficient data and model transfer mechanisms between on-premise and cloud (networking, storage replication, caching strategies) Implement and manage GPU scheduling, resource allocation, and cluster autoscaling for heterogeneous compute environments Build and maintain CI/CD pipelines for ML systems, including model versioning, testing, and promotion across environments Develop observability solutions (logging, monitoring, alerting) for ML infrastructure across hybrid deployments Collaborate with ML Engineers to define infrastructure requirements and SLAs for training and serving workloads Requirements: 5+ years of experience in infrastructure engineering, platform engineering, or DevOps, preferably supporting ML or data-intensive workloads Experience designing and operating hybrid cloud architectures (on-premise + cloud) with focus on data/model synchronization Familiarity with model registry solutions (MLflow or cloud-native registries) and artifact management at scale Experience with GPU compute infrastructure, device plugins, and resource scheduling (e.g., NVIDIA GPU Operator) Proficiency in IaC tools (Terraform) and GitOps practices (ArgoCD) Experience with monitoring and observability stacks (Prometheus, Grafana, ELK) Familiarity with ML workflows to understand workload characteristics and requirements This position is open to all candidates. |
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Project Manager - AI Group Thu, 15 Jan 2026 18:16:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, אבטחת מידע וסייבר, מנהל פרויקטים אבטחת מידע/סייבר, Data Scientist
סוג/היקף המשרה:
משרה מלאה, לדוברי אנגלית
Were looking for an experienced AI Project Manager to lead and coordinate cross-functional projects within our AI Group. You will partner with research, data science, and product leaders to translate strategy into action, managing timelines, dependencies, and priorities for our most advanced AI initiatives.
:Responsibilities Lead the planning, execution, and delivery of multiple AI projects across research and production teams. Partner with AI scientists, ML engineers, and product stakeholders to define goals, success metrics, and execution plans. Establish and maintain clear project roadmaps, ensuring alignment with the AI Groups strategic priorities. Manage communication across technical and non-technical stakeholders, providing visibility into progress and blockers. Drive agile processes within AI teams to support experimentation, iteration, and scalable delivery. Identify and mitigate project risks, ensuring smooth collaboration across research, data, and engineering functions. Promote a culture of technical rigor, transparency, and innovation within the AI Group. Requirements: 4+ years of experience in project or program management within AI, data science, or research teams. Understanding of AI/ML development lifecycles, including research, model training, validation, and deployment. Strong ability to manage multiple complex, high-impact initiatives simultaneously. Experience collaborating closely with research teams in a fast-paced, iterative environment. Proficiency in agile methodologies and project management tools (Jira, etc.). Excellent communication and stakeholder management skills, able to translate technical updates into clear, actionable insights. Excellent English, both spoken and written. This position is open to all candidates. |
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Senior Data Platform Engineer - Applied AI Engineering Group Thu, 15 Jan 2026 17:55:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, מהנדס תוכנה, הנדסה, מהנדס תוכנה, איש ביג דאטה Big Data, דאטה, מהנדס/ת דאטה/DATA ENGINEER
סוג/היקף המשרה:
משרה מלאה
It starts with you - an engineer driven to build modern, real-time data platforms that help teams move faster with trust. You care about great service, performance, and cost. Youll architect and ship a top-of-the-line open streaming data lake/lakehouse and data stack, turning massive threat signals into intuitive, self-serve data and fast retrieval for humans and AI agents - powering a unified foundation for AI-driven mission-critical workflows across cloud and on-prem.
If you want to make a meaningful impact, join mission and build best-in-class data systems that move the world forward - this role is for you. :Responsibilities Build self-serve platform surfaces (APIs, specs, CLI/UI) for streaming and batch pipelines with correctness, safe replay/backfills, and CDC. Run the open data lake/lakehouse across cloud and on-prem; enable schema evolution and time travel; tune partitioning and compaction to balance latency, freshness, and cost. Provide serving and storage across real-time OLAP, OLTP, document engines, and vector databases. Own the data layer for AI - trusted datasets for training and inference, feature and embedding storage, RAG-ready collections, and foundational building blocks that accelerate AI development across the organization. Enable AI-native capabilities - support agentic pipelines, self-tuning processes, and secure sandboxing for model experimentation and deployment. Make catalog, lineage, observability, and governance first-class - with clear ownership, freshness SLAs, and access controls. Improve performance and cost by tuning runtimes and I/O, profiling bottlenecks, planning capacity, and keeping spend predictable. Ship paved-road tooling - shared libraries, templates, CI/CD, IaC, and runbooks - while collaborating across AI, ML, Data Science, Engineering, Product, and DevOps. Own architecture, documentation, and operations end-to-end. Requirements: 6+ years in software engineering, data engineering, platform engineering, or distributed systems, with hands-on experience building and operating data infrastructure at scale. Streaming & ingestion - Technologies like Flink, Structured Streaming, Kafka, Debezium, Spark, dbt, Airflow/Dagster Open data lake/lakehouse - Table formats like Iceberg, Delta, or Hudi; columnar formats; partitioning, compaction, schema evolution, time-travel Serving & retrieval - OLAP engines like ClickHouse or Trino; vector databases like Milvus, Qdrant, or LanceDB; low-latency stores like Redis, ScyllaDB, or DynamoDB Databases - OLTP systems like Postgres or MySQL; document/search engines like MongoDB or ElasticSearch; serialization with Avro/Protobuf; warehouse patterns Platform & infra - Kubernetes, AWS, Terraform or similar IaC, CI/CD, observability, incident response Performance & cost - JVM tuning, query optimization, capacity planning, compute/storage cost modeling Engineering craft - Java/Scala/Python, testing, secure coding, AI coding tools like Cursor, Claude Code, or Copilot This position is open to all candidates. |
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Senior Data Scientist - AI Research Group Thu, 15 Jan 2026 17:51:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, מהנדס תוכנה, הנדסה, מהנדס תוכנה, דאטה, ניהול ביניים, Senior Data Scientist, Senior Data Scientist
סוג/היקף המשרה:
משרה מלאה
we are looking for a Senior Data Scientist - AI Research Group.
:Responsibilities Conduct hands-on research and development of state-of-the-art models, algorithms, and systems. Lead research projects end-to-end from problem formulation, ideation, and experimental design to prototyping and transition into production. Explore new methodologies and develop creative approaches to solve complex challenges. Identify ambitious research directions and invent novel approaches to solve complex, high-impact problems. Shape the research roadmap and influence long-term technical strategy across the organization. Requirements: 5+ Years as a Data Scientist with proven production-level impact. Masters degree in Computer Science, Mathematics, Statistics or Engineering (PhD is a plus but not required). Experience conducting applied research and working with Transformers, open-source LLMs, or other advanced deep learning architectures. Strong programming skills in Python and familiarity with modern ML tooling and frameworks. Excellent problem-solving abilities and a strong experimental mindset. Effective collaborator with strong communication skills. High curiosity and a passion for learning new technologies, methods, and domains. This position is open to all candidates. |
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Senior Database Engineer - Applied AI Engineering Group Thu, 15 Jan 2026 17:47:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, מחשבים ורשתות, מתכנת Oracle / PL/SQL, מומחה Storage
סוג/היקף המשרה:
משרה מלאה
It starts with you - an engineer driven to operate database systems at the highest level of reliability and performance. You care about query latency, uptime, data durability, and getting paged as little as possible. Youll operate, tune, and scale the database engines that serve the platform - from PostgreSQL to Elasticsearch, Redis to vector databases, across cloud and on-prem environments.
If you want to run the databases that power mission-critical AI at national scale, join Dreams mission - this role is for you. The Dream-Maker Responsibilities Operate and maintain database systems - PostgreSQL, Elasticsearch, Redis, MongoDB, vector databases, and others across cloud and on-prem. Own database reliability - high availability configurations, replication, failover automation, and SLA adherence. Drive performance tuning - query optimization, index design, configuration tuning, and resource profiling to meet latency and throughput targets. Execute operational procedures - backup/recovery, disaster recovery testing, upgrades, migrations, and capacity scaling. Lead incident response for database issues - troubleshooting production problems, root cause analysis, and implementing preventive measures. Build monitoring and alerting - dashboards, metrics collection, slow query analysis, and proactive capacity alerts. Enable new capabilities - deploying and tuning vector databases for AI workloads, evaluating new database technologies. Collaborate with Data Platform, Data Engineering, Engineering, and Security teams on database operations and best practices. Uphold database SLAs that support retrieval paths, feature stores, and embedding durability; coordinate safe schema evolution, partitioning, and replay/backfill practices. Expose catalog and lineage signals - ownership, change history, and impact analysis - to improve trust and safe consumption for downstream users. Collaborate with Data Platform, Data Engineering, Engineering, Security, Product, AI/ML, Data Science, and Analytics to balance performance, durability, and evolution across workloads. Requirements: 6+ years in database administration, database engineering, or storage infrastructure, with hands-on experience operating databases at scale. Relational databases - PostgreSQL, MySQL; replication (streaming, logical), partitioning, connection pooling (PgBouncer), vacuum tuning, query plan analysis Document & search engines - Elasticsearch, OpenSearch, MongoDB; cluster operations, shard management, index lifecycle, query optimization Caching & key-value stores - Redis, DynamoDB, ScyllaDB; cluster modes, persistence options, eviction policies, memory optimization Vector databases - Milvus, Qdrant, pgvector; index types (HNSW, IVF), similarity search tuning, embedding storage Operations & reliability - Backup strategies, point-in-time recovery, disaster recovery, high availability configurations, failover testing Performance tuning - Query optimization, index design, configuration tuning, resource profiling, slow query analysis Monitoring & observability - Database metrics, alerting, capacity dashboards, performance trending This position is open to all candidates. |
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Senior DevOps Engineer - Applied AI Engineering Group Thu, 15 Jan 2026 17:44:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, מחשבים ורשתות, מתכנת Python, ניהול ביניים, Senior DevOps, Senior DevOps
סוג/היקף המשרה:
משרה מלאה
It starts with you - an engineer driven to build resilient, automated infrastructure that enables teams to move fast with confidence. You care about operational excellence, developer experience, and reliability at scale. Youll architect and operate the compute and networking infrastructure that powers our AI platform - from CI/CD pipelines to Kubernetes clusters to observability systems - across cloud and on-prem environments.
If you want to build infrastructure that powers mission-critical AI systems at national scale, join mission - this role is for you. :Responsibilities Architect and operate Kubernetes-based infrastructure across AWS and on-prem environments, ensuring high availability, security, and performance. Design and maintain CI/CD pipelines for application and service deployments with automated testing, security scanning, and rollback capabilities. Drive infrastructure-as-code practices for compute and networking - building reproducible, auditable, and version-controlled infrastructure. Own reliability and incident response - establish SLOs, build alerting systems, lead incident resolution, and drive post-incident improvements. Enable AI-native operations - support agentic deployment pipelines, self-healing infrastructure, and secure sandboxing for model experimentation. Build and maintain observability systems - metrics, logging, tracing, and dashboards that provide visibility into system health. Optimize infrastructure cost and performance - right-size resources, implement auto-scaling, and identify efficiency opportunities. Collaborate with Engineering, Data Platform, Data Engineering, and Security teams to align infrastructure with platform needs. Shape infrastructure characteristics that support data freshness, correctness, and low-latency pathways for AI training/inference, retrieval, and agentic workflows. Contribute paved-road tooling - reusable CI/CD patterns for services, IaC modules for compute and networking, and runbooks - that streamline delivery across teams. Collaborate with Engineering, Data Platform, Data Engineering, Security, Product, AI/ML, Data Science, and Analytics to anticipate and meet cross-functional needs. Requirements: 6+ years in DevOps, SRE, or infrastructure engineering, with hands-on experience building and operating infrastructure at scale. Container orchestration - Kubernetes (EKS, on-prem), Helm, service mesh technologies like Istio or Linkerd Cloud & infrastructure - AWS services (EC2, EKS, S3, IAM, VPC, Lambda), hybrid cloud architectures, on-prem infrastructure Infrastructure-as-Code - Terraform, Pulumi, or CloudFormation; GitOps practices with ArgoCD or Flux CI/CD - GitHub Actions, GitLab CI, Jenkins, or similar; artifact management, deployment strategies (blue-green, canary) Observability - Prometheus, Grafana, ELK/OpenSearch, Datadog, or similar; distributed tracing, log aggregation, alerting Security & compliance - Secrets management (Vault, AWS Secrets Manager), network security, compliance automation Scripting & automation - Python, Bash, Go; configuration management with Ansible or similar This position is open to all candidates. |
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Senior ML Engineer - Applied AI Engineering Group Thu, 15 Jan 2026 17:42:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, Data Analyst, NLP/Machine Learning
סוג/היקף המשרה:
משרה מלאה
It starts with you - a senior ML engineer responsible for building, training, evaluating, and operating machine learning systems in production. The role focuses on data pipelines, model training, experimentation, evaluation, and scalable deployment.
If you want to grow your skills building AI products for mission-critical AI, join mission - this role is for you. :Responsibilities Design, train, and evaluate ML models for production use. Build and maintain data pipelines for training, validation, and inference. Own experimentation workflows: feature engineering, training runs, and comparison. Implement model evals, monitoring, and drift detection. Package and deploy models to production systems. Optimize training and inference performance, cost, and reliability. Collaborate with data, platform, and product teams. Mentor engineers and promote ML engineering best practices. Requirements: 4+ years software engineering experience with 2+ years applied ML in production. Strong foundations in machine learning, statistics, and data analysis. Hands-on experience with model training frameworks (e.g., PyTorch, TensorFlow, JAX). Experience with distributed training and large-scale datasets. Experience building data pipelines, feature engineering, and dataset versioning. Proven experience designing and operating ML evals, experiment tracking, and monitoring. Familiarity with feature stores, model registries, and ML lifecycle management. Experience with model serving patterns and production deployment. Proficiency in Python and strong system design skills. Experience deploying ML systems on Kubernetes or similar platforms. Familiarity with GPU acceleration and performance optimization This position is open to all candidates. |
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Senior NLP Researcher Thu, 15 Jan 2026 17:35:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, מהנדס תוכנה, הנדסה, מהנדס תוכנה, Data Scientist, NLP/Machine Learning
סוג/היקף המשרה:
משרה מלאה
we are looking for a Senior NLP Researcher.
:Responsibilities Conduct cutting-edge research in natural language processing and large language models. Design, train, and optimize large-scale neural network models for advanced applications. Transition research projects from ideation through deployment and scaling. Collaborate closely with cross-functional teams, including domain experts, product managers, and engineers, to deliver impactful AI solutions. Define and contribute to the AI and NLP product roadmap. Requirements: M.Sc. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field. 5+ years of experience in applied AI research. Strong programming skills, particularly in Python and ML frameworks (e.g., TensorFlow, PyTorch). Solid understanding of NLP. Experience with modern Large Language Models (LLM) and generative models. Proven expertise in designing, implementing, and evaluating deep learning models in a production environment. Preferred Qualifications: Experience with training Large Generative Language Models (LLM). Knowledge of distributed computing and infrastructure for training large models. Interest in exploring novel architectures for LLMs. This position is open to all candidates. |
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Technical Delivery Engineer Thu, 15 Jan 2026 17:28:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, מנהל פרויקטים בתוכנה, מחשבים ורשתות, Help Desk - מחשבים ורשתות
סוג/היקף המשרה:
משרה מלאה, לדוברי אנגלית
We are on an expedition to find Technical Delivery Engineer, someone who is passionate about creating intuitive, out-of-this-world In this role, you will lead end-to-end implementation and deployment projects of platform in customer environments, working hands-on with AI on-prem and hybrid infrastructures.
Youll collaborate closely with Product, Architecture, and R&D teams, while serving as a trusted technical partner for customers and senior stakeholders. From planning and execution to troubleshooting and continuous improvement, you will own the full delivery lifecycle and ensure every deployment is reliable, seamless, and impactful. :Responsibilities Lead end-to-end project delivery in close collaboration with Product, Architecture, R&D, and Solutions teams, as well as customer executives and senior stakeholders. Plan, coordinate, and execute complex on-premises deployment projects. Take a hands-on role in deploying platform within customer environments. Serve as the technical escalation point for issues related to product deployment and implementation. Develop, maintain, and continuously improve project delivery processes and knowledge-sharing practices. Communicate project status, milestones, risks, and dependencies clearly to internal teams and customer stakeholders, ensuring transparency and alignment throughout the delivery lifecycle. Requirements: 3-5 years of Hands-on experience in technical project management, implementation management, Network/System Hands-on experience with on-premises or hybrid deployments in customer environments. Proven experience delivering complex, cross-functional projects involving engineering, product, and customer- facing teams. Strong technical background, including experience with Linux OS and services (Ubuntu, kubernetes, MogoDB and more.) and windows based systems (AD, Windows server and desktop), enterprise software, and deployment methodologies. Solid networking knowledge and hands-on experience (switches, firewalls, routers, etc.). Strong debugging and problem-solving skills in complex technical environments. Strong project management skills, including defining scope, timelines, milestones, and success metrics. Highly organized, proactive, and accountable, with a strong sense of ownership. Willingness to travel to customer sites (at least 30%). High-level English proficiency is a must Advantage: Experience working in AI and/or cybersecurity companies. Experience with project management tools such as Jira and Monday. Scripting experience (Python and/or shell scripting). Additional citizenship. This position is open to all candidates. |
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Technical Presale Engineer Thu, 15 Jan 2026 17:26:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, Presale - Post sale, מכירות, מהנדס מכירות, הנדסה, מהנדס מכירות
סוג/היקף המשרה:
משרה מלאה, לדוברי שפות, לדוברי אנגלית
We are looking for a Technical Presale Engineer with a strong technical orientation in cyber security and networking.
The ideal candidate has 2-4 years of customer-facing experience (e.g., presales, solutionarchitects, technical account managers, training, or consulting), and a willingness to travel. The role is ideal for people who combine strong technical knowledge with an energetic attitude and the ability to build strong client relationships. :Responsibilities We are looking for a Technical Presale Engineer with a strong technical orientation in cyber security and networking. The ideal candidate has 2-4 years of customer-facing experience (e.g., presales, solutionarchitects, technical account managers, training, or consulting), and a willingness to travel. The role is ideal for people who combine strong technical knowledge with an energetic attitude and the ability to build strong client relationships. You will help execute technical presales processes and contribute as a trusted client advisor, ensuring successful solution delivery and long-term customer satisfaction. We work in a high-paced environment, with frequently changing priorities. Hence a high degree of flexibility and adaptability is required. Requirements: Deep cyber security understanding: Strong foundational knowledge of cyber security concepts and networking fundamentals, including TCP/IP, DNS, firewalls, VPNs, and threat landscapes. Ability to quickly grasp complex technical systems and articulate their value to clients. Customer facing experience: 2-4 years in client-facing roles, such as presales, training, consulting, or customer success. Proven ability to communicate technical concepts to both technical and non-technical stakeholders. Language Skills: Fluency in English is essential. Strong preference for German. Additional fluency in languages like French, Italian, or Spanish is a significant advantage. Willingness to travel: Ability and willingness to travel domestically and internationally to meet client and business needs. Integrity and confidentiality: Demonstrates the highest standards of integrity and safeguards confidential information in line with company policies and regulations. This position is open to all candidates. |
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DevOps Team Leader Thu, 15 Jan 2026 17:16:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, ראש צוות פיתוח, מחשבים ורשתות, ניהול ביניים, DevOps Team Leader, DevOps Team Leader
סוג/היקף המשרה:
משרה מלאה
We are seeking an experienced DevOps Team Leader to lead our DevOps team as part of our Platform Engineering group. As a DevOps Team Leader, you will be responsible for overseeing the design, development, and deployment of our sophisticated DevOps solutions across cloud and on-premises environments. This role involves leading a team of DevOps engineers, driving best practices in code, architecture, and infrastructure management while ensuring high availability and optimal performance of our services.
:Responsibilities Lead and mentor a team of DevOps engineers in building and maintaining the best solutions for our production platform. Champion an 'Everything as Code' approach: manage our infrastructure using a wide range of technologies including Ansible, Terraform, and Kubernetes. Oversee the creation and maintenance of tools for automation, deployment, monitoring, and operations. Drive troubleshooting and resolution of issues in our development, production, and test environments. Foster a culture of excellent communication, collaboration, and innovation within the team. Ensure continuous professional development and upskilling of team members to keep pace with technological advancements. Requirements: Proven leadership skills and experience managing a team in a high-stakes, fast-paced environment. 5+ years hands-on experience with advanced DevOps technologies. Expertise in designing, building, and maintaining DevOps solutions across both cloud and on-premises environments. Extensive experience with major cloud providers: AWS, GCP, Azure. Deep knowledge of deployment and CI/CD technologies. Experience in bootstrapping projects, introducing new technologies, and system architecture design. Strong coding capabilities in Python, Bash, or similar scripting languages. Excellent problem-solving skills and ability to make decisive decisions under pressure. Advantages: Previous experience working with endpoint security products (agents, sensors, collectors). Familiarity with AI operations, particularly in training, inference, and serving phases. This position is open to all candidates. |
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Endpoint Engineering Team Lead- Detection Thu, 15 Jan 2026 17:13:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, אבטחת מידע וסייבר, מתכנת ++C, מומחה אבטחת מידע / סייבר, ראש צוות פיתוח אבטחת מידע / סייבר
סוג/היקף המשרה:
משרה מלאה
We are on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building Sensor.
This team owns the entire endpoint agent, which is the backbone of collection capabilities from Windows and Linux endpoints. As a hands-on leader, youll guide a talented team of engineers in designing and evolving the agent that enables our fully AI-driven platform to identify and respond to real-time advanced persistent threats. : Responsibilities Lead a team responsible for the endpoint product on Windows and Linux systems. Mentor engineers, grow the team, and foster a culture of technical excellence and innovation. Design and code production-grade C++ to create robust and high-performance software applications. Collaborate with backend, frontend, research and other teams within the company to deliver state-of-the-art solutions for challenging problems. Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration. Participate in code reviews with an emphasis on design and code quality, ensuring the team adheres to best practices and guidelines. Requirements: 5+ years of experience in endpoint development in the cybersecurity field. 2+ years leading and mentoring engineers. Fluent in C++ (11 or later). Deep understanding of operating system concepts. Excellent debugging skills. Capable of conducting code reviews with a focus on design and quality, enforcing high-standard codebase. Problem-solving abilities. Analytical thinking. This position is open to all candidates. |
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Engineering Team Leader - AI Application Foundation Thu, 15 Jan 2026 17:09:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, ראש צוות פיתוח, מהנדס תוכנה, הנדסה, מהנדס תוכנה, AI, AI Engineer, AI Engineer
סוג/היקף המשרה:
משרה מלאה
Were on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building the AI application foundation behind our next-generation cyber-AI product.
This team owns the core backend and frontend infrastructure that powers all user-facing applications - as well as the agentic and conversational frameworks that bring intelligence and automation into the experience. As a hands-on leader, youll guide a talented team of engineers in designing and evolving the systems that enable every other Engineering group to create fast, scalable, and intelligent apps on top of our platform. :Responsibilities Lead a multidisciplinary team responsible for backend services, frontend frameworks, and AI agent infrastructure - the technical bedrock of our product experience. Mentor engineers, grow the team, and foster a culture of technical excellence and innovation. Design and build robust frameworks and systems that power all customer-facing applications. Develop the agentic and conversational architecture enabling LLM-powered user interactions and intelligent workflows. Collaborate with AI research, data, and product teams to seamlessly integrate AI-driven capabilities into production systems. Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration. Requirements: 7+ years of software development experience, with 2+ years leading and mentoring engineers. Strong expertise in backend development (Go, Python, Node.js, or similar) and familiarity with modern frontend technologies (React, Vue, TypeScript, etc.). Proven experience designing distributed and web application architectures. Solid understanding of developer experience - how to build frameworks and tooling that enable other teams to move faster. Experience working with or integrating AI systems, LLMs, or agent-based architectures. Excellent collaboration skills and a startup mindset - hands-on, pragmatic, and impact-oriented. A product-oriented mindset and the ability to work in a fast-paced, team-driven environment. Advantages: Experience with agent orchestration, context management, or retrieval-augmented architectures. Experience in cybersecurity. Hands-on expertise in Go development. This position is open to all candidates. |
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GenAI Engineer - Evaluation Thu, 15 Jan 2026 17:08:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, NLP/Machine Learning, AI, Gen AI Engineer
סוג/היקף המשרה:
משרה מלאה
In this role, you'll be responsible for designing and implementing evaluation, validation and optimization of GenAI systems. You will define, design and develop LLMs as judges to evaluate task and system outputs across multiple applications, create datasets for benchmarking and evaluation and help design robust and scalable evaluation pipelines for both onine and offline GenAI systems.
:Responsibilities Design, develop and apply state-of-the-art techniques for evaluating and validating AI agents and/or workflows. Develop and implement LLM-as-a-Judge (or similar) for different tasks and roles for GenAI systems and tools. Design and implement evaluation pipelines and benchmark datasets for evaluating model quality, relevance and system consistency for various applications. Optimize and maintain judge LLMs to evaluate outputs for different use cases such as chatbots, RAG systems, cybersecurity experts and investigators. Define evaluation KPIs and metrics for both models, systems and tools. Validate and optimize datasets for various use cases. Ensure the reliability, efficiency, and scalability of evaluation tools and pipelines for both online and offline use cases. Work closely with AI/ML engineers to make evaluations a part of the production pipelines of GenAI applications. Collaborate with cross-functional teams including product, research and data science. Stay up to date with the latest developments in AI, machine learning, focusing on LLMs, exploring how emerging technologies can be applied to improve our evaluation and validation pipelines. Requirements: Advanced knowledge and experience in NLP and use of LLMs for GenAI applications in production at scale. Strong experience in designing end-to-end R&D plans for GenAI including evaluation and validation lifecycle and benchmarking. Strong proficiency in Python Solid understanding of Data Science and Machine Learning lifecycle and best practices evaluating and validating AI systems at scale. Excellent problem-solving abilities, coupled with a creative and strategic mindset. Proven ability to work effectively in a team setting. Advantages: Experience with EDD (evaluation driven development) for GenAI applications. Familiarity with cybersecurity applications of GenAI. Advanced skills in performance optimization for high throughput systems. Tech Stack: Python, Langchain, Langgraph (or other agentic frameworks), Langfuse/LangSmith (or other observability and tracing tools), HuggingFace, Mlflow, MongoDB This position is open to all candidates. |
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Program Manager Thu, 15 Jan 2026 17:07:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, מנהל פרויקטים בתוכנה, ניהול תוכנה
סוג/היקף המשרה:
משרה מלאה
We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world execution and delivery. You will own the squads delivery and processes reporting directly to the Director of Program Management, collaborate with Engineering, Data Science, Research and Product teams to drive successful execution of squad deliverables.
:Responsibilities Lead and manage multiple squads, ensuring efficient workflow and high-quality output Partner with the Product Manager and R&D Manager to oversee the end-to-end development process for our cybersecurity solutions Collaborate with the Director of Program Management to align squad goals with overall company objectives Foster a culture of innovation, continuous improvement, and technical excellence Mentor and develop team members, providing guidance and support as needed Implement and optimize agile methodologies to enhance team performance and product delivery Requirements: Minimum of 5 years of experience in program management within the high-tech industry, with a focus on R&D Ability to manage multiple projects and priorities in a fast-paced, innovative environment Proficiency in agile project management methodologies Strong interpersonal skills with the ability to foster collaboration across diverse teams and departments to ensure alignment and synergy Experience with Jira for project management and workflow optimization Comprehensive understanding of both cloud and on-premise environments Experience in a role within the cybersecurity industry Knowledge of AI and machine learning applications This position is open to all candidates. |
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Senior Backend Engineer - Detection Thu, 15 Jan 2026 17:01:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, מהנדס תוכנה, הנדסה, מהנדס תוכנה, מתכנת Python, Backend Engineer
סוג/היקף המשרה:
משרה מלאה
Were on the lookup for a senior backend engineer to join our Detection group. Be a significant part of the development of infrastructure that efficiently handles, processes, and stores vast volumes of data. Architect and build scalable, high-performance backend system that enables real-time threat detection platform and find state-sponsored attacks.
: Responsibilities Design and develop complex, large-scale backend systems that efficiently handle, process, and store high volumes of data. Translate business and technical requirements into clear backend architecture and detailed implementation plans, with strong focus on design quality, maintainability, reliability, and performance. Collaborate closely with cross-functional teams (Product, Data, DevOps, Security) to deliver robust backend and data-processing capabilities. Build resilient, production-grade systems and drive modern engineering practices, leveraging cloud technologies. Debug and resolve complex backend issues using strong analytical and problem-solving skills. Lead processes, drive initiatives end-to-end, and contribute to a collaborative, positive team culture. Requirements: 5+ years of experience with software development (using Go or Python is an advantage). Ability to evaluate and adopt new technologies, developing a deep understanding of underlying mechanisms to support technical decision-making. Proven experience building and maintaining large-scale, high-throughput systems. Solid experience with microservices architecture and related technologies (Docker, Kubernetes). Solid background with databases, including modern storage and search solutions. Experience with messaging/stream processing and scalable data storage patterns. Ability to bootstrap projects, design systems from scratch, and deliver end-to-end. Ownership mindset and leadership skills, with the ability to guide complex technical efforts. This position is open to all candidates. |
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Senior Backend Engineer - Posture Thu, 15 Jan 2026 17:00:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, מתכנת ++C, ניהול ביניים, Senior Backend Developer, Senior Node.js Developer, Senior Python Developer, Senior Backend Developer, Senior Node.js Developer, Senior Python Developer, Backend Engineer
סוג/היקף המשרה:
משרה מלאה
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. :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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Senior Backend Engineer- CTI Thu, 15 Jan 2026 16:58:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, ניהול ביניים, Senior Python Developer, Senior Python Developer, Backend Engineer
סוג/היקף המשרה:
משרה מלאה
We're building 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 ecosystem. This is a greenfield opportunity where you'll shape foundational architecture decisions on a new product with a small, high-impact team. :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 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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Senior DevOps Engineer Thu, 15 Jan 2026 16:49:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, מחשבים ורשתות, מהנדס תוכנה, הנדסה, מהנדס תוכנה, ניהול ביניים, Senior DevOps, Senior DevOps
סוג/היקף המשרה:
משרה מלאה
We are looking for an experienced Senior DevOps Engineer to join our DevOps team who is passionate about software design, development and deployment. The job involves writing production-grade modern DevOps solutions that will be shipped to the cloud and on-prem solutions.
:Responsibilities Build the best solutions for our production platform. Everything as a code approach (IaC): Run our infrastructure with a wide range of technologies including Ansible, Terraform, and Kubernetes Build and maintain tools for automation, deployment, monitoring, and operations Troubleshoot issues in our development, production, and test environments Excellent communication and people skills Work well in a team! Requirements: 5-6 years experience with DevOps technologies. Experience with design, build, development and maintenance of DevOps solutions. Experience with one of the major cloud providers: AWS, GCP, Azure. Experience Working cloud & on-prem environments and solutions. Experienced with deployment technologies. Experienced with CI\CD technologies. Experience with bootstrapping projects, introducing new technologies and building systems from scratch. Good coding capabilities (python\bash etc.) Team Player! Advantages: Prior experience with endpoint security products (agents, sensors, collectors). Background in working with AI components (training, inference, serving). Tech Stack: AWS, Kubernetes, EKS, ECS, Jenkins, IaC, GitHub, Terraform, Python, Ansible, Docker + Compose, ArgoCD, MongoDB, RabbitMQ, Redis, Go, Neo4J, AI, and more. This position is open to all candidates. |
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Senior DevOps Engineer- Detection Thu, 15 Jan 2026 16:45:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, מחשבים ורשתות, מהנדס תוכנה, הנדסה, מהנדס תוכנה, ניהול ביניים, Senior DevOps, Senior DevOps
סוג/היקף המשרה:
משרה מלאה
We are on the lookout for an experienced engineer to join our DevOps team who is passionate about software design, development, and deployment.
The role focuses on designing, building, and maintaining production-grade cloud solutions, ensuring scalability, reliability, and security. You will manage CI/CD pipelines, automate deployments, monitor system performance, and collaborate across development teams to deliver resilient infrastructure in a rapidly evolving environment. :Responsibilities Collaborate closely with development teams to define and implement infrastructure requirements that support scalable, secure, and efficient operations. Develop and maintain internal tools to automate workflows, streamline development processes, and enhance monitoring and operational efficiency. Diagnose and resolve issues across development, testing, and production environments to ensure system stability and optimal performance. Requirements: 5+ years of DevOps experience. Fluent in AWS, Terraform, Helm, and Kubernetes. Experience with CI/CD technologies. Experience with large-scale deployments. Background in MLOps or any AI-related workflows - an advantage. Ability to learn new technologies quickly. Strong debugging and troubleshooting skills. Solid coding skills (python, bash, etc.) Tech Stack: AWS, Kubernetes, Jenkins, IaC, GitHub, Terraform, Python, Ansible, Helm, Docker, ArgoCD, Python, Bash and more. This position is open to all candidates. |