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Requirements:
Who are you?
You have 5+ years of experience as a software engineer
Exceptional track record of excellence (e.g., ex-8200 / academic distinctions / upwards career trajectory)
You care about creating the best customer experience
You share our view of the world as outlined above
If you worked in a startup or a B2C company, thats a great bonus.

Requirements:
BSc/MSc in Computer Science, Electrical Engineering, or related field
3+ years of experience managing multi-regional engineering teams
Strong technical background in Kubernetes and cloud-native development
Proficiency in C/C++; familiarity with Python and Bash
Understanding of real-time systems, networking, and resource management concepts
Experience working in Agile environments (SAFe experience a plus)
Excellent communication skills and ability to collaborate across cultures and time zones
Telecom or wireless industry experience-or experience in adjacent fields such as communications systems or real-time constrained products

Requirements:
4+ years of experience in System Integration, System Validation, or Software Quality Engineering.
Strong experience working with complex distributed software systems.
Experience integrating AI tools into engineering workflows.
Experience working in Agile development environments.
Strong understanding of Linux operating systems.
Solid networking knowledge, including TCP/IP, DNS, HTTP/HTTPS, routing, and switching.
Experience working with REST APIs, JSON, and YAML.
Experience analyzing application and system logs.
Excellent troubleshooting and root-cause analysis skills.
Strong analytical thinking with the ability to understand complex system architectures.
Self-driven, accountable, and comfortable working independently.
Curiosity to understand how systems work, not just whether they work.
Nice to have:
Experience with Python or another scripting language.
Experience with test automation frameworks such as Robot Framework or PyTest.
Docker and Kubernetes experience.
Experience with telecom technologies (4G, 5G, Open RAN).
Familiarity with cloud-native architectures and microservices.
Experience using observability platforms such as Grafana, Prometheus, Kibana, or Elasticsearch.
Education:
B.Sc. in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or a related technical discipline.

Requirements:
You have 5+ years of experience as an iOS software engineer
Exceptional track record of excellence (e.g., ex-8200 / academic distinctions / upwards career trajectory)
You care about creating the best customer experience
You share our view of the world as outlined above
If you worked in a start-up or a B2C company, thats a great bonus.

Requirements:
Bachelors degree in computer science, Engineering, or a related field
5+ years of experience in DevOps, Site Reliability Engineering (SRE), or a similar role
Strong hands-on experience with cloud platforms (AWS, GCP, or Azure)
Proficiency with Infrastructure as Code tools (Terraform, CloudFormation)
Experience with configuration management tools
Deep knowledge of CI/CD tools
Strong scripting skills (Bash, Python, or Go)
Proficiency with containers and orchestration (Docker, Kubernetes, Helm)
Solid understanding of networking, security best practices, and Linux system administration
Excellent problem-solving, communication, and collaboration skills
Experience with monitoring and observability tools (Prometheus, Grafana, ELK,)
Exposure to zero-downtime deployments, blue-green deployments, and canary releases
Proficiency with Atlassian tools ( Bitbucket, Jira, Confluence )
Familiarity with code quality analysis tools ( linters, static analysis, etc )
Strong Git skills
Familiarity with AI-assisted development tools ( Github Copilot, Curser, Claude, etc )
Team player, fast self-learning individual, and service-oriented attitude
Education:
Bachelors degree in Computer science, Engineering, or a related field.

Requirements:
You are a hands-on engineering leader with strong technical instincts and product intuition
You have built and scaled complex systems and still love writing code
You are excited by products that mix software and hardware in unpredictable environments
You enjoy collaborating across disciplines and take pride in shared wins
You move quickly, think clearly, and adapt well when things are still in flux
You believe in thoughtful architecture, fast feedback loops, and clear ownership
You see AI as a practical tool for improving speed, quality, and creativity.

Requirements:
Leadership experience: 3+ years as an Architecture Team Lead or Technical Lead.
Cloud-native expertise: Strong knowledge of Kubernetes architecture (preferably EKSA or SUSE) and container orchestration.
Systems knowledge: Good understanding of the Linux kernel, memory management, and I/O subsystems.
Networking: Solid understanding of L2-L7 networking, software-defined networking (SDN), and high-speed data planes.
AI & productivity tools: Familiarity with using LLMs and AI frameworks to enhance engineering workflows or product capabilities.
Architecture documentation: Proven ability to produce high-quality technical specifications and work within SAFe/Agile environments.
Telecom domain (advantage): Familiarity with the cellular stack (4G/5G NR, RAN, Core) or wireless communication protocols.
Networking functions (advantage): Experience with Virtual Network Functions (VNFs) or Cloud-Native Network Functions (CNFs).
System modernization: Experience modernizing complex systems while maintaining production stability.
Education:
Bachelors degree in Computer Science, Computer Engineering, or a related technical field.

Requirements:
BSc or MSc in Computer Science, Data Science, Machine Learning, Statistics, Electrical Engineering, or a related field, or equivalent practical experience.
5+ years of hands-on experience in applied machine learning, data science, search, natural-language processing, analytics engineering, or AI-enabled software systems.
Recent experience evaluating LLM, RAG, search, or agent systems using representative datasets, task-specific metrics, human review, failure analysis, and regression testing.
Strong Python and SQL skills, with experience building maintainable data pipelines, experiment workflows, services, or analytical tools.
Practical experience with several areas such as information retrieval, embeddings, hybrid search, reranking, classification, structured outputs, tool calling, or common LLM failure modes.
Strong statistical judgment, including sampling, leakage prevention, uncertainty, calibration, precision and recall, temporal drift, and controlled comparison of competing approaches.
Ability to work with semi-structured engineering data from issue-tracking systems, source control, code reviews, continuous integration, logs, dashboards, and test systems.
Clear communication skills and the ability to explain results, limitations, and tradeoffs to technical and business stakeholders.

Requirements:
Requirements:
4+ years of experience with microservices development.
Deep understanding of microservices architecture and cloud-native development.
Experience designing and building asynchronous systems and working with message queues/event-driven architectures.
Experience with databases.
Experience in developing a SAAS product.

Advantages:
Experience in developing a security-related SAAS product.
Experience with continuous integration and deployment (CI/CD).
B.Sc in Computer Science/Software Engineering or related field.
Familiarity with the GraphQL framework.
Familiarity with the Graph Databases.

Requirements:
B.Sc. in Electrical Engineering, Computer Engineering, Computer Science, Telecommunications, or a related field, or equivalent practical experience.
5+ years of hands-on experience in RAN system verification, system integration, performance engineering, lab engineering, field support, or a similar technical role.
Strong knowledge of at least one RAN technology or domain, such as LTE, 5G NR, PHY, MAC, RLC, PDCP, protocol stack, RAN performance, or end-to-end feature validation.
Proven experience investigating complex technical issues using logs, traces, configurations, software versions, and test results.
Practical scripting experience using Python, Shell, or similar tools.
Strong analytical skills, technical ownership, attention to detail, and the ability to collaborate effectively across cross-functional engineering teams.
Excellent written and verbal communication skills.

Requirements:
Requirements
At least 3 years of experience as a team leader.
At least 8 years of hands-on experience in server-side development.
At least 2 years of hands-on experience with Go lang.
Proven experience in developing large-scale systems using cloud services and NoSQL databases (such as GCP orand AWS, Couchbase).
Experience with microservices architecture, Docker, and container. orchestration (e.g., Kubernetes) & CI/CD.
Experience with Agile methodology.
Ability to quickly understand complex systems and drive solutions.
Fluent in written and spoken English.
Excellent spoken and written communication skills.
Availability to work in a hybrid model - at least 3 days a week from the office.

Advantages
Direct experience with Ad Tech platforms (DSPs, SSPs, Ad Exchanges).
Experience with Vue.js or similar frontend frameworks.
Experience with Java.
Familiarity with observability tools and practices.
Experience working with remote teams.
Advanced knowledge of unit testing frameworks and mocking.
B.Sc. in Computer Science or equivalent.

Requirements:
BSc or MSc in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related field, or equivalent practical experience.
Typically 7+ years of hands-on experience in production software, ML platform, search, data, or infrastructure engineering, including meaningful recent experience shipping LLM-powered systems; exceptional candidates with equivalent depth are welcome.
Strong Python engineering skills and experience designing maintainable APIs, services, libraries, and data pipelines. Experience with Go, Java, or C/C++ is an advantage.
Strong understanding of transformer-based language models and production inference, including tokenization, context management, batching, KV caching, parallelism, quantization, structured output, tool calling, and common model failure modes.
Demonstrated experience building production RAG or enterprise-search systems using embeddings, vector and/or lexical search, metadata filtering, reranking, source attribution, and systematic retrieval evaluation.
Experience defining task-specific LLM evaluations using representtive datasets, strong baselines, domain-expert review, automated metrics, human feedback, error analysis, and regression thresholds.
Experience deploying and operating containerized services on Linux using Docker and Kubernetes or an equivalent orchestration environment.
Practical experience with GPU-backed model serving, performance profiling, capacity planning, monitoring, and reliability engineering.
Strong knowledge of distributed-system fundamentals, authentication and authorization, API security, secrets handling, encryption, auditability, and data lifecycle controls.
Experience with Git, automated testing, CI/CD, infrastructure as code, observability, and production incident response.
Sound technical judgment about quality, security, maintainability, hardware efficiency, and total cost-not just model benchmark scores.
Ability to lead an ambiguous, cross-functional initiative, explain complex AI behavior in plain language, and help other teams ship safely on a shared platform.

Requirements:
Minimum Qualifications:
5+ years of experience in frontend engineering using React with TypeScript.
Proven hands-on experience with end-to-end development of complex frontend software components from design to production.
Full professional fluency (written and verbal) in both Hebrew and English.
Preferred Qualifications:
Extensive experience analyzing and improving frontend performance, scalability, and stability across large-scale applications.
Experience designing GraphQL schemas/other APIs, and defining data contracts with backend teams.
Familiarity or experience with TypeScript, React, GraphQL, Apollo, and Tailwind.
Deep knowledge of continuous integration, testing strategies, and deployment pipelines.
A proactive, "can-do" attitude and an open mindset for cross-functional collaboration.

Requirements:
You're a business builder who happens to think in numbers.
You have significant experience in performance marketing, growth, strategic finance or another highly quantitative commercial role.
You've made real decisions around CAC, LTV, attribution, incrementality, cohorts, media economics and capital allocation.
You enjoy messy business problems more than clean datasets.
You simplify complexity. You challenge assumptions.
You care about impact- not reports.

Requirements:
Requirements
A minimum of 7 years of experience as a Full Stack Developer, with at least 4 years specializing in Node.js
Solid proficiency in JavaScript and TypeScript, with demonstrated experience using TypeScript-first frameworks (such as NestJS, Fastify, or Next.js).
Prior experience with Java.
Proven expertise in developing and scaling enterprise-level production systems within a microservices architecture.
Practical knowledge of at least one major frontend framework, such as React or Angular.
Familiarity with both relational and NoSQL database systems.
Proven experience with REST API design and integration, including the implementation of effective caching strategies.
Hands-on experience with Continuous Integration/Continuous Delivery (CI/CD) pipelines and containerization using Docker.
Experience in developing and executing comprehensive unit and integration tests.
Practical experience working with Agile methodologies in a fast-paced environment.
Strong analytical skills and effective communication abilities, with fluency in written and spoken English.

Advantages
Comprehensive understanding of message queues and event-driven architecture.
Familiarity with essential AWS services, such as SQS, Lambda, and RDS.
Proficiency in utilizing validation libraries like Zod or Yup.
Experience with data-fetching libraries such as React Query or RTK Query.
Experience collaborating within distributed, cross-functional team environments.
A Bachelor of Science degree in Computer Science or a relevant equivalent qualification.