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לפני 6 שעות
חברה חסויה
Location: Herzliya
Job Type: Full Time and Hybrid work
We are seeking a highly skilled Senior Software Engineer to join our team responsible for large‑scale data processing, distributed computation, and performance‑critical backend services. This role is ideal for an experienced backend engineer with a strong Python background who has built and optimized data pipelines at scale. You will design, build, and optimize systems that process large volumes of data using technologies such as Python, Databricks, and modern cloud‑native tooling. This is a senior technical position where architectural thinking, hands‑on coding ability, and ownership of end‑to‑end data workflows are essential.

Responsibilities
Design, develop, and maintain scalable, high‑performance backend services in Python.
Build and optimize large‑scale data processing pipelines running on Databricks.
Implement efficient algorithms and data transformations to support analytical and operational needs.
Optimize performance, throughput, and reliability of distributed data workflows.
Collaborate closely with Data Scientists, Product Managers, and other engineering teams to translate requirements into scalable solutions.
Implement monitoring, alerting, and observability for data workloads.
Ensure code quality through best practices such as code reviews, testing, CI/CD, and documentation.
Contribute to architectural decisions and technical strategy for the data platform.
Troubleshoot production issues, perform root‑cause analysis, and optimize system stability.
Requirements:
Qualifications
5+ years of backend software engineering experience, with a strong focus on Python.
Hands-on experience with Apache Spark, Databricks, or similar distributed-processing frameworks.
Proven ability to design and optimize high-scale data pipelines handling large datasets.
Strong understanding of distributed systems, parallel processing, and performance tuning.
Familiarity with cloud environments (Azure, AWS, or GCP).
Experience with modern CI/CD processes, testing frameworks, and code-quality standards.
Strong understanding of data structures, algorithms, and system design.
Excellent problem-solving skills and ability to work independently.

Nice-to-Have Skills
Experience in data lakehouse architectures or cloud‑native data platforms.
Familiarity with container technologies (Docker, Kubernetes).
Background in cybersecurity, analytics platforms, or large-scale SaaS systems.
Hands-on experience with AI concepts, LLMs, and agents.

Personal Qualities
Ownership mindset and ability to drive initiatives end-to-end.
Strong communication skills, both written and verbal.
Ability to collaborate across teams in a fast-paced environment.
Curiosity, adaptability, and passion for high-quality engineering.
This position is open to all candidates.
 
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24/03/2026
Location: Herzliya
Job Type: Full Time
At our company, we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details. Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Responsibilities
Design and Build ML Infrastructure: Develop and maintain scalable, production-ready infrastructure for both traditional ML (anomaly detection, user behavior analytics) and LLMs across enterprise environments.
Optimize Model Performance: Analyze and optimize LLM and ML performance using techniques like knowledge distillation, quantization, and efficient data structures to boost efficiency and lower resource costs.
Deploy and Integrate: Collaborate heavily with software and data engineers to integrate models into production pipelines, cloud-native environments, and on-premises workflows.
Drive MLOps & Tooling: Manage the complete model lifecycle (monitoring, retraining, deployment) and actively build custom tools from scratch to improve the team's ML workflows.
Elevate Engineering Standards: Perform rigorous code reviews, ensure robust Python production standards, and provide technical guidance to data scientists and junior engineers.
Cross-Functional Partnership: Partner with cybersecurity researchers and product teams to translate research insights and threat analysis features into highly performant production code.
Open-Source Engagement: Actively engage with the open-source community by contributing code and expertise to relevant ML/LLM projects.
Requirements:
Experience: 5+ years of experience in a backend, ML engineering, or MLOps role with a demonstrable track record of successfully deploying and maintaining code in high-volume production environments.
Programming Mastery: Strong proficiency in Python with a deep understanding of software engineering principles, design patterns, and debugging.
Applied ML/LLM Knowledge: Hands-on experience developing and fine-tuning models using frameworks like PyTorch, HF ecosystem and deepspeed, alongside practical experience with LLMs, prompt engineering, and vector databases.
Data & MLOps Infrastructure: Strong experience with Data/MLOps tools (e.g., MLflow, Airflow, DVC) and deployment technologies (CI/CD, Kubernetes, containerization).
Big Data & Cloud: Proficiency with big data platforms (like Databricks or PySpark) and a solid understanding of public cloud platform architectures.
Ownership: Exceptional problem-solving skills with the ability to take full ownership of complex tasks from the design phase through to full production implementation.
Advantages
Prior experience building cybersecurity, data protection, or enterprise threat detection products.
Familiarity with user behavior-based anomaly detection or metadata analytics.
Experience with advanced retrieval-augmented generation (RAG) frameworks.
This position is open to all candidates.
 
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2 ימים
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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Location: Herzliya
Job Type: Full Time
Join us at our company, a global fintech leader (NASDAQ; TASE: NYAX) revolutionizing the world of cashless payments, consumer engagement, and business management solutions. With more than 1,200 employees across 12 offices worldwide. At our company, youll be part of a diverse and innovative community where your work makes a real impact and helps shape the future of payments.
Syte is an image recognition solution for retailers in different verticals such as fashion, home, furniture, DIY etc. We offer AI-powered product recommendation and discovery platform. Our solutions include visual search, automated product tagging, advanced personalized recommendations, and more.
We are currently looking for a Senior Machine Learning Engineer to design and implement scalable and integrate machine learning solutions into production. You will work with modern technologies like Node.js, Python, Kafka, MongoDB, and OpenSearch, AirFlow, while driving architectural decisions and CI/CD best practices. This role combines backend engineering excellence with ML deployment expertise.
The Senior Machine Learning Engineer will report directly to the Director of R&D.
Your key responsibilities will include:
Architect and develop MLE services using Python, ensuring high performance, reliability, and scalability.
Collaborate with Data Science teams to productionize ML models (model serving, monitoring, retraining pipelines).
Build and maintain CI/CD pipelines for automated testing, deployment, and monitoring.
Design and implement system architecture for distributed, event-driven systems.
Integrate and optimize Kafka for real-time data streaming and event processing.
Design and manage MongoDB schemas and queries for optimal performance.
Implement and maintain OpenSearch clusters for search and analytics use cases.
Ensure security, observability, and fault tolerance across all services.
Mentor team members and contribute to engineering best practices.
Requirements:
What Makes You a Great Fit:
Minimum 6+ years of backend development experience - Must
Experience with Machine Learning - Must.
Strong expertise in Python for production systems - Must.
Proven experience in system architecture for distributed applications.
Hands-on experience with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.).
Deep knowledge of Kafka (producers, consumers, partitioning, scaling).
Proficiency with MongoDB (schema design, indexing, aggregation).
Experience with OpenSearch/Elasticsearch (indexing, queries, performance tuning).
Solid understanding of containerization (Docker) and cloud deployment (Kubernetes or similar).
Nice-to-Have
Experience with Argo CD and GitOps workflows, and AirFlow.
Knowledge of ML lifecycle tools (MLflow, Kubeflow, TensorFlow Serving).
Observability stack: Prometheus, Grafana, OpenTelemetry.
Performance optimization and distributed systems troubleshooting.
Tech Stack
Backend: Node.js, Python, REST/GraphQL APIs
Data: MongoDB, Kafka, OpenSearch
Infra: Docker, Kubernetes, CI/CD pipelines
Bonus: Argo CD, Erlang/Elixir, ML deployment frameworks.
This position is open to all candidates.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time
We are looking for a software engineer to join our core model team!
The role of the core model team, within the Business Data & Dev group, is to own and maintain the services and business workflows that manage AppsFlyer accounts lifecycle, while ensuring that our customers have a smooth and reliable user experience.

We are looking for an experienced backend engineer with a background in writing resilient and robust production services. Youre familiar with modern microservices architecture, technologies, and best practices. You have a strong problem-solving attitude and a deep sense of accountability, you are a team player, independent, and most importantly, youre passionate about what you do and about making things better.

What youll do:
Develop end-to-end services and features, from gathering requirements and research to implementation, deployment, and monitoring.
Integrate and implement AI flows and solutions into the team and department.
Improve quality and find weaknesses in existing processes and services.
Participate in brainstorming and early-stage designs.
Mentor, advise, and work collaboratively within the group, with other development teams, and with all other business teams in the company.
Continuously learn and follow new technologies both for personal growth and to ensure we are making the most informed technology choices possible.
Requirements:
What you have:
4+ years of experience in backend software engineering.
2+ years of hands-on experience with Node.js and Apache Kafka.
1+ year of experience with AI concepts and tools, integrating AI workflows into backend systems.
Strong server-side development skills with proven experience building services in large-scale production environments.
Proficiency with both SQL and NoSQL databases.
Experience working in public cloud environments (AWS is a strong advantage).
Practical experience with CLI and Docker.
Experience building and maintaining CI/CD pipelines.
A strong team player with a sense of ownership and accountability.
A mindset of continuous learning, curiosity, and openness to trying new technologies.
Ability to understand the big picture, including technical and business perspectives.
B.Sc. in Computer Science or equivalent practical experience.

Bonus points:
Experience in Go/TypeScript.
Understanding of Kubernetes.
This position is open to all candidates.
 
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לפני 8 שעות
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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24/03/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
Were looking for an experienced and thoughtful Senior Frontend Engineer to join our team and lead the development of modern, high-quality user experiences using cutting-edge technologies - including AI-powered development tools.
Who We Are:
We believe great engineering happens when skilled people work together with trust, ownership, and a continuous drive to improve. We value clear thinking, strong opinions held lightly, and using AI as a force multiplier - not a crutch.
A Mature, Supportive Engineering Culture
Youll join a team that values psychological safety, honest feedback, and shared ownership. We invest in code quality, thoughtful design, and long-term maintainability, while still moving fast when it matters.
Modern Development with AI
We actively use AI tools to accelerate development, validate approaches, explore alternatives, and improve quality. As a senior engineer, youre expected to critically evaluate AI-generated output, understand tradeoffs, and guide others in using these tools responsibly.
A Strong Product Mindset
Our engineers partner closely with product and design, influencing solutions from early discovery through delivery. We expect you to challenge assumptions, clarify 'why,' and help ensure were solving the right problems - not just implementing requirements.
A Place to Lead and Grow
This role offers technical ownership, architectural influence, and mentorship opportunities. Whether deepening your expertise or expanding into broader system design and leadership, we support your growth.
What You'll Do:
Design, build, and maintain scalable, high-quality frontend features (primarily Angular).
Contribute to architecture and technical decision-making across frontend and full-stack concerns.
Use AI development tools while reviewing, challenging, and refining AI-generated solutions.
Lead and participate in code reviews, raising the bar for code quality.
Collaborate with Product Managers and Designers to influence product direction.
Mentor junior engineers and contribute to a strong engineering culture.
Take ownership of technical risks and long-term improvements.
Requirements:
5+ years of hands-on experience in client-side development.
Strong experience with Angular-MUST
Proven experience using AI tools in development workflows.
Strong understanding of software fundamentals and system design.
Experience influencing technical decisions and reviewing code.
Experience with Git (GitHub advantage).
Strong ownership, communication skills, and collaborative mindset.
Nice-to-Have:
Experience with Playwright or other modern testing frameworks.
Backend or full-stack development experience.
Familiarity with cloud environments and distributed systems.
Experience with data-intensive or security-sensitive systems.
Previous mentoring or technical leadership experience.
Ability to coach others in effective use of AI-assisted development.
This position is open to all candidates.
 
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01/03/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
we are 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.
Impact and Responsibilities
* Design, implement, and maintain scalable, secure, and reliable cloud infrastructure on AWS (3+ years of experience required) and GCP (preferred).
* Build and maintain CI/CD pipelines to automate application deployment and infrastructure updates.
* Demonstrate hands-on experience using Generative AI tools (e.g., GitHub Copilot, ChatGPT, Cursor, or similar) to accelerate scripting, infrastructure automation, CI/CD configuration, and operational troubleshooting.
* Automate infrastructure provisioning and management using Infrastructure-as-Code (IaC) tools, with Terraform experience being a must.
* Automate infrastructure provisioning and management with Ansible experience being a must.
* Collaborate with development teams to optimize application performance and reliability.
* Troubleshoot and resolve system, application, and network issues to ensure high availability and reliability.
* Ensure the compliance of our infrastructure with security best practices and standards.
* Leverage advanced networking and proxy configuration expertise to design robust and secure systems.
* Continuously research, evaluate, and implement new technologies to enhance infrastructure efficiency and cost-effectiveness.
Requirements:
* Bachelor's degree in Computer Science or a related field
* 3+ years of experience in DevOps engineering, with a proven track record in building and maintaining production systems.
* Strong experience with AWS (3+ years), including services such as EC2, S3, RDS, ECS/ECR, EKS, Lambda, and VPC configurations.
* Hands-on experience using Generative AI tools (e.g., GitHub Copilot, ChatGPT, Claude, Cursor, or similar) to enhance scripting, automation, troubleshooting, and infrastructure design workflows.
* Experience with GCP - preferred
* Proficiency with Infrastructure-as-Code (IaC) tools like Terraform (a must).
* 2+ years of Python coding experience, with the ability to write scripts for automation, monitoring, and infrastructure management.
* Strong expertise in networking concepts, including proxies, DNS, load balancing, and VPNs.
* Experience with containerization and orchestration technologies like Docker and Kubernetes.
* Proficiency in building and maintaining CI/CD pipelines using tools such as Jenkins, Bitbucket Pipelines, CircleCI or equivalent.
* Strong understanding of Linux systems administration, including troubleshooting, optimization, and security.
* Excellent problem-solving and analytical skills with a proactive mindset.
* Strong communication skills and ability to work both independently and collaboratively.
* Strong communication and collaboration skills.
* Fluent level of English (written and verbal skills).
* Smart, interdisciplinary, fast learner, and a team player.
* Can-do attitude, and proactive approach to problem-solving.
This position is open to all candidates.
 
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29/03/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
Data has never been more valuable and vulnerable. As cybercriminals become more sophisticated and regulations more strict, organizations struggle to answer one key question: Is my data safe?"
At our company, we see the world of cybersecurity differently. Instead of chasing threats, we believe the most practical approach is protecting data from the inside out. Weve built the industrys first fully autonomous Data Security Platform to help our customers dramatically reduce risk with minimal human effort. At our company, we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details.
Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
The FinOps Technical Manager leads cloud cost operations, driving cost optimization and governance across multi-cloud environments. This role combines technical expertise with strategic leadership to align cloud spend with business objectives while fostering a culture of cost accountability.
Key Responsibilities:
Strategic Leadership
Champion cost-awareness across teams and influence architectural decisions for efficiency.
Lead cross-functional initiatives to improve cloud economics and operational excellence.
Team Management
Provide hands‑on technical guidance on cloud architecture, cost‑efficient design patterns, and optimization best practices. Foster strong collaboration between finance, DevOps, and engineering teams to ensure shared ownership of cloud costs
Cloud Cost Management
Monitor and analyze cloud spend across AWS, Azure, and Kubernetes clusters.
Identify optimization opportunities by diving into current system architecture/ flows and implementation and resent actionable recommendations to leadership.
Be able to challenge current and future technological and architecture decisions in favor on cost optimization.
Ability to detect bad designs and implementations that cause high spend.
Automation & Tooling
Oversee automation of cost reporting and anomaly detection.
Evaluate and implement tools and integrations for real-time visibility.
Requirements:
Strong technical background and hands‑on experience developing cloud‑native services.
Proven leadership experience managing teams or cross-functional projects.
Deep understanding of AWS, Azure, Kubernetes, and major SaaS / PaaS services.
Expertise in cost and cost optimization techniques.
Excellent communication and stakeholder management skills.
Ability to influence at all levels and drive organizational change.
Preferred Qualifications
Experience operating in large‑scale, distributed cloud environments.
Background in DevOps, SRE, architecture, or performance engineering with a cost‑ownership mindset.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8594707
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26/03/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
We are looking for an experienced Director to lead strategic initiatives in data security, governance, and compliance. This role will oversee multiple engineering groups at scale, driving innovation and operational excellence across distributed systems and data platforms. The ideal candidate combines deep technical expertise with proven leadership in managing end-to-end product development, including infrastructure, backend, and frontend components.
Key Responsibilities:
Strategic Leadership
Work closely with product teams to define and execute a comprehensive roadmap for data security, governance, and compliance programs.
Align initiatives with organizational objectives, regulatory requirements, and risk management strategies.
Engineering Leadership
Lead and mentor multiple engineering groups, ensuring delivery of scalable, secure, and compliant solutions.
Foster a culture of technical excellence, collaboration, and continuous improvement.
Technical Oversight
Drive design and implementation of cloud-based distributed systems and data pipelines at scale.
Ensure robust architecture for high-performance, fault-tolerant systems supporting enterprise workloads.
Product Management
Oversee end-to-end product development, including infrastructure, backend services, and user-facing applications.
Collaborate with product and business stakeholders to deliver impactful solutions.
Requirements:
Education: Bachelors or masters in computer science, Engineering, or related field.
Experience:
10+ years in data security or related fields.
5+ years leading multiple engineering groups at scale.
Proven track record in managing large-scale distributed systems and data platforms.
Technical Skills:
Expertise in designing cloud-based distributed systems and data pipelines.
Preferably experience with Apache Spark or Databricks.
Experience with major cloud platforms (Azure, AWS, GCP).
Strong understanding of security frameworks and compliance standards (e.g., GDPR, HIPAA).
Leadership Skills:
Exceptional ability to lead cross-functional teams and manage complex, multi-quarter roadmaps.
Strong communication and stakeholder engagement capabilities.
Excellent problem-solving and decision-making skills.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8593215
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סגור
דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
06/04/2026
Location: Herzliya
Job Type: Full Time
We are looking for a highly motivated R&D Software Engineer with strong algorithmic thinking, problem-solving skills, and hands-on software development experience. While experience in signal processing, communications, DSP, or RF is a strong advantage, it is not a requirement.

This role is ideal for engineers who enjoy tackling complex problems, designing practical solutions, and turning ideas into working systems. You will work in a multidisciplinary environment at the intersection of algorithms, software and hardware, with real impact on end products.


Design and implement algorithms and software solutions for complex problems
Develop high-quality, production-ready code in C++ and Python
Take ownership of features and components from concept through implementation and validation
Build prototypes, run experiments, and iterate quickly based on results
Participate in code reviews, architecture discussions, and technical decision-making
Document designs, trade-offs, and implementation details
Requirements:
Strong algorithmic thinking and problem-solving abilities
5+ Years of experience in software design and development, not just theoretical or academic work
Solid proficiency in C++ and/or Python
Good understanding of data structures, algorithms, and software engineering principles
Ability to learn new domains quickly and apply them effectively
High motivation, strong ownership mentality, and a get things done attitude
Ability to work independently while collaborating effectively in a team
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8601846
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