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לפני 10 שעות
Location: Herzliya
Job Type: Full Time
A hands-on engineering role focused on building production-grade AI/ML systems and the automation infrastructure that supports them - driving AI adoption into developer workflows, internal tooling, and domain-specific applications across the organization.

As a member of the AI Infrastructure & Applications team, you will lead the design, development, and production deployment of AI/ML-powered systems alongside the automation infrastructure and developer platforms that support them.
You will architect intelligent, scalable solutions used across the organization - driving AI adoption into developer and automation workflows, internal tooling, and domain-specific applications - while also building and maintaining the automation frameworks and infrastructure those systems depend on.
The systems you build are expected to be production-grade, reliable, observable, and continuously improving.

Responsibilities
Architect and ship end-to-end AI-powered applications and pipelines, from prototype to production.
Build agentic systems, RAG pipelines, and tool-use patterns that integrate LLMs into real workflows.
Define and own AI quality metrics (accuracy, groundedness, hallucination rate, task completion) and integrate them into CI/CD release gates.
Design evaluation frameworks for non-deterministic systems: offline evals, human-in-the-loop review, and automated regression suites.
Harness AI/LLMs to extend and enhance existing automation infrastructure, improving system performance and operational efficiency.
Build scalable automation frameworks, APIs, and tooling used across the organization.
Collaborate with engineering, CI, and domain teams to address automation needs across hardware, software, and cloud.
Distill requirements from a large, diverse user base into generic, reusable, maintainable solutions.
Implement monitoring, drift detection, and structured feedback pipelines for continuous improvement.
Apply rigorous engineering discipline - test design, release criteria, rollback strategies - to AI-native deployments.
Partner with product, design, and domain experts to define use cases, acceptance criteria, and rollout plans.
Requirements:
Minimum Qualifications
BSc in Computer Science, Software Engineering, or related field - or equivalent industry experience.
Strong programming, system design, and API design skills with a focus on scalability and production-readiness.
Proficiency in Python for automation, API development and pipeline engineering.
Experience building automation frameworks, internal developer tools, and shared platforms at scale.
Solid understanding of prompt engineering, retrieval strategies, context management, and model orchestration.
Hands-on experience building and deploying LLM-powered systems: agentic pipelines, RAG, tool-use, and function-calling.
Strong debugging skills across the full AI stack; familiarity with LLM safety and responsible AI practices.
Experience designing and running AI evaluations - automated and human-in-the-loop - and embedding quality gates into CI/CD release workflows.

Preferred Qualifications
Experience leading projects end-to-end - from initial scoping and stakeholder alignment through delivery- coordinating across engineering, product, design, and domain teams.
Practical systems management experience: configuration management, dependency resolution, and deployment tooling across cloud and on-prem environments.
Ability to design sustainable automation systems serving a large, diverse engineering user base.
Hands-on experience with orchestration frameworks and managing the full development lifecycle of complex, multi-component systems.
MA in Computer Science, Software Engineering, or related field.
This position is open to all candidates.
 
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12/04/2026
Location: Herzliya
Job Type: Full Time
We are looking for a Senior AI Prompt Engineer who will own the design, development, and optimization of AI Agent experiences built on the Zowie AI platform. You will engineer the prompts, system instructions, guardrails, and multi-turn conversational flows that power our customer-facing AI Agents across chat and email-automation channels.
This is not a surface-level content role - you will operate at the intersection of language, logic, and AI behavior, shaping how our agents reason, respond, escalate, and self-correct. As part of the Digital & AI team, you will collaborate closely with Product, Engineering, AI/ML, Analysts, CX, Operations, and Localization teams to deliver intelligent, scalable, and trustworthy conversational solutions.
What you'll do:
Design, write, and optimize AI-driven conversational experiences, including system prompts, guardrails, tool-use instructions, and multi-turn flows across chatbot and email-automation channels.
Engineer and maintain reusable prompt frameworks, templates, and conversation patterns that ensure consistency in tone, safety, domain accuracy, and localization across markets on multiple channels such as AI Chat, Ai email bot, AI Voice bot.
Define and refine AI Agent behavior across user scenarios, edge cases, error states, escalation paths, and regulatory/compliance requirements.
Own end-to-end conversational journeys - from problem discovery and use-case research through design, prompt engineering, testing, deployment, and iterative optimization.
Build and maintain prompt evaluation pipelines - designing test cases, scoring rubrics, and regression tests to systematically measure prompt quality, hallucination rates, and task-completion accuracy.
Monitor, analyze, and improve AI Agent performance using analytics dashboards, QA outputs, hallucination findings, user feedback, and operational metrics; translate insights into concrete prompt improvements.
Collaborate cross-functional with Product, Engineering, AI/ML, CX, and Operations teams to identify high-impact use cases, define agent capabilities, and deliver scalable solutions.
Contribute to internal prompt engineering guidelines, conversational design systems, and AI best practices - helping establish our standards for responsible, effective AI Agent deployment.
Stay current with advancements in LLMs, agentic AI patterns, prompt optimization strategies, and conversational AI tooling; bring relevant innovations into the teams workflow.
דרישות:
3-4+ years of hands-on experience working with Large Language Models (LLMs) - including prompt engineering, system prompt design, and LLM-based application development (e.g., OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini).
English proficiency - Mandatory (native or near-native written English; this role is language-critical).
Proven experience designing, deploying, and optimizing AI-powered conversational experiences (chatbots, AI agents, email automation, Voice bot or virtual assistants).
Coding/scripting experience (Python, JavaScript) for prototyping, automation, or prompt testing.
Experience with AI Agent architectures and concepts - tool use, function calling, RAG, multi-step reasoning, guardrails, and escalation logic.
Strong analytical skills - comfortable working with conversation analytics, A/B testing prompt variants, and using data to drive design decisions.
Experience designing for multilingual and multicultural audiences.
Ability to collaborate with developers and data teams to implement, test, and iterate on AI flows.
Familiarity with version control practices for prompt management and documentation.
Excellent stakeholder management - able to align multiple teams around conversational strategy and priorities.
Advantages:
Experience with conversational AI platforms (e.g., Zowie ai, Kore.ai, Yellow.ai, Ada, Cognity).
Knowledge of SQL or analytics/BI tools for performance analysis.
Background in customer service, contact center, or fintech environmen המשרה מיועדת לנשים ולגברים כאחד.
 
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10/05/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
we are a leading software development and technology consulting company, partnering with startups and enterprise organizations to deliver innovative, production-grade solutions across cloud, AI, cybersecurity, data, and digital platforms. We are expanding our AI engineering capabilities and looking for a Senior AI / Agentic Systems Engineer to lead the design and implementation of advanced agentic systems that solve real-world engineering and operational challenges. This role combines hands-on software engineering, LLM systems design, MLOps, and platform thinking. You will work closely with engineering teams, architects, and customers to build scalable AI-driven solutions that move beyond experimentation into reliable production environments.
Requirements:
5+ years of hands-on software engineering experience. Proven experience building and deploying LLM-powered applications or agentic systems in production environments. Strong experience with Python backend development. Hands-on experience with frameworks such as LangGraph, CrewAI, LangChain, or custom agent orchestration systems. Strong understanding of RAG architectures, prompt engineering, tool calling, memory management, and model evaluation methodologies. Experience with cloud-native systems, APIs, CI/CD pipelines, debugging, and distributed architectures. Ability to design scalable, maintainable, and secure AI-driven systems. Strong communication skills and ability to work in customer-facing technical environments.
This position is open to all candidates.
 
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לפני 3 שעות
חברה חסויה
Location: Herzliya
Job Type: Full Time
We are looking for a Principal Software Engineer at the intersection of AI/ML and security. You will drive the architecture and delivery of autonomous agentic experiences that investigate, triage, remediate, and harden customer environments using LLMs, knowledge graphs, and the Security Graph (MSG).

This is a high-impact IC role reporting to the Exposure Management engineering leadership. You will influence strategy, mentor senior engineers, and ship production systems used by the largest enterprises in the world.

Responsibilities

Architect & Build Agentic Security Experiences
Design and implement Blue (investigate/triage), Green (remediate/harden), and Red (attack simulation) agents operating across customer environments.
Define agent architecture: planning, tool use (MCP skills), memory, context retrieval, and human-in-the-loop controls.
Build orchestration over the Security Graph, correlating exposure signals across cloud, device, identity, data, and AI.

Drive AI-Native Platform Design
Architect skill, knowledge, context, and memory layers for agentic security systems.
Design MCP-based skill interfaces for customization and extensibility.
Define how LLMs interact safely and accurately with structured security data (vulnerabilities, misconfigurations, attack paths, graph relationships).

Shape AI-for-Security Strategy
Partner with PMs and domain leads to define where AI autonomy vs. human involvement is needed.
Evaluate and integrate foundation models (Azure OpenAI, fine-tuned models) for tasks such as risk scoring, remediation planning, and blast radius analysis.
Stay ahead of industry solutions (Wiz AI-APP, CrowdStrike Charlotte AI, Palo Alto XSIAM).

Technical Leadership & Influence
Set technical direction across multiple teams (20-30 engineers).
Drive architecture decisions, design reviews, and engineering excellence.
Mentor senior engineers (L63-L65) and grow the AI-for-security discipline.
Represent the team across us (Security Copilot, MSG, Azure AI, Research).
Requirements:
Must Have
8+ years of software engineering experience, with 3+ years applying ML/AI to production systems.
Deep expertise in LLM application development, including prompt engineering, RAG, and agent frameworks such as AutoGen, Semantic Kernel, LangChain, or similar.
Strong systems design skills, including distributed cloud systems, streaming pipelines, graph databases, and API design at scale.
Experience building security products or working with security data such as vulnerabilities, misconfigurations, identity, and cloud posture.
Track record of driving ambiguous, cross-team technical initiatives from concept to production.

Preferred
Proficiency in Python and at least one systems language such as C, Go, Rust, or Java.
Experience with our Security stack including Defender, Sentinel, Entra, Purview, Intune, and MSEM.
Familiarity with MCP (Model Context Protocol) and tool-use patterns for LLM agents.
Background in security operations, red teaming, or exposure management.
Experience with knowledge graphs and graph-based reasoning for security.
Publications or patents in AI/ML applied to cybersecurity.
Experience with Azure OpenAI Service, Copilot extensibility, or Security Copilot skills development.
BS or MS in Computer Science, Engineering, or equivalent experience
This position is open to all candidates.
 
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לפני 3 שעות
Location: Herzliya
Job Type: Full Time
we are looking for a Senior Data Engineer to join our Data Platform team. We are seeking a hands-on individual with experience in building and scaling modern data infrastructure, passionate about exploring AI technologies and applying them to enhance and evolve our data systems. This role is ideal for someone focused on data systems, performance, automation, and reliability, who will design, build, and maintain core components of our data pipelines, storage, monitoring, and observability stack, with a strong focus on improving workflows and system capabilities, while embracing the Shift4 way.

Responsibilities:

Build and maintain scalable, reliable, and high-performance data infrastructure across cloud and on-prem environments
Partner with engineering, analytics, and observability teams to support data flow from ingestion to consumption
Develop infrastructure as code and automation tools to improve deployment, monitoring, and recovery
Help troubleshoot performance bottlenecks and reliability issues in large-scale data pipelines
Implement data quality processes aligned with security standards to ensure accuracy, consistency, and compliance with financial regulations and PCI requirements.
Continuously improve the performance and efficiency of the data platform with proactive tuning and benchmarking
Proactively explore and apply AI tools to enhance efficiency across the data engineering lifecycle, while improving accessibility and usability of data solutions for teams across the organization
Requirements:
7+ years of experience in data engineering, infrastructure, or DevOps roles
Strong hands-on experience with message queue systems such as
Apache Kafka, Confluent and RabbitMQ
Practical experience with the Elastic Stack (Elasticsearch, Logstash, Kibana), including designing data pipelines, index management, performance and costs optimization.
Hands-on experience with time series databases such as Prometheus and InfluxDB
Experienced with visualization and observability platforms including Grafana, Prometheus, Elastic stack. Designed and maintained interactive dashboards for real-time monitoring of system metrics, logs, and traces, enabling proactive issue detection and improved operational efficiency
Strong knowledge of cloud platforms (AWS, GCP, or Azure) and operating production data infrastructure, ensuring scalability, reliability, and performance of data systems.
Infrastructure as code experience using Terraform or Ansible
Proven proficiency in CI/CD methodologies with the ability to design and implement automated pipelines from scratch
Responsible for organization-wide monitoring systems, with deep familiarity and understanding of the various infrastructure components, services, and devices across the organization
Background in observability and performance tuning at scale
Passion for automation, performance, and clean system design
This position is open to all candidates.
 
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12/04/2026
Location: Herzliya
Job Type: Full Time and Hybrid work
We are looking for an AI Enablement Tech Lead to lead the development of AI-native data capabilities and drive the adoption of AI across analytics workflows.
This role is part of the Analytics & AI Enablement group within the data department and is responsible for establishing the foundational data and AI capabilities that support advanced use cases, including chat with data, autonomous analytics, and AI-driven decision-making.
You will act as a technical and strategic bridge between data, engineering, and AI platform teams - owning the design of AI-ready data layers, and taking a significant part in the specification and orchestration of data-ready agent solutions and analytical workflows, from ideation to production.
You are a hands-on builder and a transformation leader, with proven experience delivering AI solutions and a strong foundation in data and analytics.
Hybrid
Full-time
What youll do: 
Define and build AI-ready data foundations, including semantic layers optimized for LLM and AI consumption
Design and standardize AI-native analytics workflows, combining data modeling, LLMs, and orchestration frameworks
Partner with Data Engineering and AI platform teams to shape infrastructure, tooling, and data interfaces for AI use
Drive experimentation with new AI capabilities and rapidly iterate from POC to scalable solutions
Establish best practices for AI usage in analytics, including prompt design, evaluation, monitoring, and governance
Act as a technical leader and mentor, driving AI knowledge and adoption across the analytics community.
Requirements:
5+ years of experience in data roles (Analytics / BI / Data Modeling or similar)
Proven hands-on experience building and deploying AI solutions (GenAI, LLMs, agents, or ML systems)
Strong understanding of how data modeling and semantic layers support AI applications
Experience designing end-to-end AI workflows, including data preparation, orchestration, and production deployment
Familiarity with modern AI stack (LLMs, vector databases, embeddings, orchestration frameworks)
Experience taking AI initiatives from POC/MVP to scalable production systems
Strong problem-solving skills and ability to translate business needs into AI-driven solutions
Excellent collaboration skills, working across Data, Engineering, and AI teams
Comfortable operating in ambiguity and driving innovation in a fast-evolving space
Advantage: Experience building data solutions tailored for agent-based consumption (e.g., chat with your data use cases), including preparing structured, reliable, and accessible data layers for AI agents.
This position is open to all candidates.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time
This isn't an ordinary automation and validation engineering position. You will engage in a collaborative and rapidly changing environment to discover and solve challenging problems that arise from integrating new technologies into our products.
You will join a hands-on development team that fosters engineering excellence, creativity, and innovation. Put your creativity, hardware background, programming, and problem-solving skills to the test. Adapt quickly to new technical areas, and deeply engage cross-functional teams to address problems. In this role, you will be responsible for all aspects of a large-scale lab crafted for testing new Hardware and Firmware.

As a Validation Engineer, you will play a central role in ensuring the quality and readiness of our next-generation hardware and firmware.
Your responsibilities will include:
Lab Development & Operations - Design, build, and operate a large-scale automation lab capable of testing multiple products simultaneously.
Test Execution & Debug - Develop and manage automated test suites, triage lab failures, and drive root-cause analysis to closure.
Cross-Functional Integration - Integrate deliverables from multiple R&D teams across us, ensuring seamless end-to-end validation and on-time product delivery.
Automation & Tooling - Create and maintain frameworks, scripts, and infrastructure that improve test coverage, efficiency, and reliability.
AI-Assisted Development - Leverage Generative AI tools and techniques to accelerate code development, automate test generation, and enhance engineering productivity.
Continuous Improvement - Identify gaps in existing validation processes and propose innovative solutions that raise the quality bar for future programs.
Requirements:
Minimum Qualifications
BS in Computer Science, Electrical Engineering, or a related field (or equivalent experience).
Proficiency in Python, C++, or other programming languages.
A hands-on problem-solver with a genuine passion for validation - finding issues, understanding them, and driving them to resolution.
Self-motivated with the ability to work independently and thrive in a collaborative team environment.

Preferred Qualifications
Experience in SoC, system-level, or hardware integration testing.
Familiarity with lab automation frameworks, test infrastructure, or CI/CD pipelines.
Exposure to firmware validation, hardware bring-up, or failure analysis workflows.
Experience or interest in using Generative AI tools (e.g., LLM-based coding assistants) to write, review, or optimize engineering code.
Strong communication skills and comfort working across multiple engineering disciplines.
This position is open to all candidates.
 
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6 ימים
Location: Herzliya
Job Type: Full Time
We are seeking a skilled and motivated Software Engineer (Automation Infrastructure) to join our team. This role is primarily focused on designing, developing, and maintaining robust automation frameworks and ensuring seamless integration with external systems and partner teams. The ideal candidate will have a strong background in infrastructure automation, excellent problem-solving skills, and a collaborative mindset.
Responsibilities
Design, build, and maintain efficient and reliable automation frameworks.
Implement, test, and bug-fix automation scripts and tools.
Write clean, scalable, and testable code for infrastructure automation.
Participate as a team member in fully agile Scrum deliveries.
Coordinate with other software professionals and developers.
Provide support to end users for automation tools and frameworks.
Collaborate with external teams and third-party vendors to implement integration solutions.
Remain up to date with the terminology, concepts, and best practices in infrastructure automation.
Requirements:
At least 5 years of experience in infrastructure automation.
Experience working in Cloud environments (concepts, methodologies, CI/CD), preferably in large-scale or distributed systems.
Experience leading automation projects from scratch (design, integration with external interfaces, testing, and implementation).
Strong in Object-Oriented Programming, MVC, Design patterns, and SOLID principles.
Familiarity with relational and non-relational databases and SQL.
Experience with web services development (SOAP, REST).
Excellent communication and collaboration skills, with the ability to influence technical and non-technical stakeholders.
Bachelor's degree in computer science, Software Engineering, or related field.
Familiarity with container technology (Docker & AKS) - an advantage.
Experience with API design, development, and integration patterns - an advantage.
This position is open to all candidates.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time
As a Cloud Architect, you will serve as a technical focal point, driving strategic architectural decisions that shape the future of our globally distributed platform.
Platform & Scale Leadership: Lead the architectural efforts to modernize and significantly scale the companys infrastructure across multiple geographies and heterogeneous cloud providers.
Cross-Organizational Influence: Work with other groups in the organization to deeply understand their needs and translate them into concrete, production-ready capabilities and platform offerings.
Multi-Cloud Data Strategy: Define and champion a comprehensive, petabyte-scale multi-cloud data strategy, ensuring optimal data governance, security, and cost-efficient flow for streaming ingestion, data lakes, and advanced analytics workloads across environments.
Microservices Design & Resilience: Provide high-level architectural oversight for the multi-cloud design patterns of our microservices, focusing on cross-cloud resilience, global traffic management, data locality, and failure domain isolation.
AI Transformation Leadership: Lead the AI transformation initiatives aimed at radically enhancing the developer experience, introducing intelligent automation, and leveraging generative AI models to accelerate software delivery, testing, and operational efficiency.
Strategic Alignment: Foster cross-group alignment and build consensus among engineering leaders and business stakeholders for strategic platform projects, translating complex technical roadmap items into clear, measurable business outcomes.
Architecture Definition: Help define the technical vision, architecture, and long-term directions of the Cloud Platform group and the wider R&D organization.
Engineering Excellence: Be a champion for engineering excellence, setting high standards, mentoring engineers across the group to foster solid architectural principles, and supporting their professional growth.
Architect Forum Participation: Be a key member of the companys architect forum, participate in complex technical discussions, and facilitate effective, org-wide decision-making processes.
Requirements:
What You Have:
10+ years of software development and platform engineering experience, with at least 5 years in technical leadership positions within a large-scale SaaS or distributed systems environment.
Expert-level proficiency in AWS Cloud, with a proven track record of designing, building, and operating scalable, global, high-availability infrastructure.
Deep Multi-Cloud Expertise: Significant, demonstrable experience in designing and implementing systems that span at least two major cloud providers (AWS, GCP, or Azure).
Expert-level knowledge and understanding of Kubernetes internals (operators, controllers, networking, security).
Data Experience: Proven experience designing and optimizing large-scale data platforms, including streaming architectures (Kafka/Kinesis), data warehousing, and distributed file systems.
Deep understanding of CI/CD concepts and their advanced implementations (e.g., GitOps, progressive delivery, from testing to production).
A people person, optimistic, and visionary, with a can-do approach and the ability to lead complex and sensitive decision-making processes in an effective manner while creating a positive, collaborative, and pleasant atmosphere.
Proven experience mentoring and coaching high-potential engineers to develop new skills and grow professionally.

Bonus Points:
Recommended by our employee.
This position is open to all candidates.
 
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
חברה חסויה
Location: Herzliya
Job Type: Full Time
Fire-Arc is an innovative, data-oriented, high-tech company that owns, develops, and publishes multi-platform digital Assets. All our products and content coordinate together to create unique monetization solutions and advanced revenue streams for digital properties. We are expanding our teams and are focused on adding like-minded, result-oriented, and high-achieving talents. We’re looking for a Mid-Level Client Developer with strong leadership capabilities, extensive experience building Windows desktop applications , and a passion for mentoring others and solving complex problems.
Impact and Responsibilities
* Lead the design and development of Windows desktop applications using technologies mostly C# (.NET) WPF
* Drive high-quality integrations with AWS services like S3, Lambda (serverless), EC2, DynamoDB and RDS
* Use AI-powered development tools and IDEs (such as GitHub Copilot, Cursor, and similar assistants) as part of the daily workflow to improve development speed, code quality, and problem-solving
* Design, build, and maintain backend services that support and seamlessly integrate with Windows desktop client applications.
* Apply practical experience with Generative AI tools to increase productivity while maintaining strong engineering standards and critical thinking.
* Proactively identify technical and architectural challenges, and craft scalable, secure, and user-centric solutions
* Oversee and enhance application installation, deployment, and update processes with a focus on security and user experience
* Foster a collaborative, respectful work environment , supporting team members and driving alignment with cross-functional teams
* Participate in code reviews and contribute to a culture of quality and shared knowledge
* Continuously monitor and optimize application performance, security, and scalability
* Stay up-to-date with industry trends and recommend new tools, techniques, or improvements to enhance team effectiveness

Brand:
FireArc
Requirements:
3+ years of hands-on experience in Windows desktop application development
* A strong problem-solving mindset and ability to think strategically in fast-paced environments
* Excellent interpersonal and communication skills; ability to guide, support, and inspire others
* Deep understanding of secure software design , especially regarding vulnerabilities in executables and desktop environments
* Experience working with PC application installers , auto-update systems, and secure deployment pipelines
* Proficient with AWS services (S3, Lambda, EC2, DynamoDB)
* Skilled with Git and modern development workflows
* Familiarity with Agile methodologies and SDLC best practices
* Bachelor’s degree in Computer Science or related field
* Fluent English and a proactive, ownership-driven attitude
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
לפני 4 שעות
Location: Herzliya
Job Type: Full Time
We have multiple positions open for Full stack Software Engineers and Senior Full stack Software Engineers to be hired across different Security teams in Israel.

As a Software Engineer you will:
Contribute to business-critical initiatives in our Security.
Use deep technical skills and the ability to quickly adapt to new areas.
Improve the end-to-end lifecycle of services.
Analyze complex system behavior, and apply modern engineering practices to streamline deployments and reduce costs.
Work on high-end technologies and collaborating across disciplines to deliver impactful features.
Collaborate with multiple teams across us to deliver key customer solutions and support technology.
Requirements:
Our teams focus on the diversity of all types of candidates, and we strive to hire people with different experiences and perspectives into our teams. To that end, we know that no candidate has every desired skill and experience, but together we make strong, effective teams.

You have a B.Sc. or M.Sc. in computer science, software engineering, or equivalent experience.
You have 7+ years of professional hands-on software development experience, primarily focused on developing and designing backend services in cloud or on-premises environments.
You have proven hands-on experience in front-end development, including building scalable, user-facing applications using modern libraries and frameworks (e.g., React, Angular, or Vue).
You have experience taking initiative, map product/feature requirements, dependencies, and deliverables.

Preferred Qualifications
Experience working with Kubernetes and Containers.
Experience with databases (SQL, MongoDB, Cosmos DB, Redis, Azure Data Explorer).
Experience working on a product that has both a cloud service and a client component.
Experience in the cybersecurity domain.
Experience in designing, building, and operating large-scale resilient distributed systems.
Experience/familiarity with application and system monitoring systems.
Demonstrate success dealing with ambiguous unsolved problems; and the ability to independently make solid progress by breaking new ground.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8660297
סגור
שירות זה פתוח ללקוחות VIP בלבד