לוח משרות דרושים הייטק תוכנה משרה מלאה

Requirements:
Experience: Minimum of 3 years of professional experience in MacOS development.
Technical Skills:
Expert proficiency in C++ 11/14/17.
In-depth knowledge of MacOS internals, system frameworks, and libraries.
Proven experience in system-level programming, debugging, and performance tuning.
Familiarity with Xcode, LLDB, and other MacOS development tools.
Strong understanding of macOS security mechanisms and best practices.
Soft Skills:
Excellent analytical and problem-solving abilities.
Strong communication skills, both written and verbal.
Ability to work effectively in a remote and collaborative environment.
Education: Bachelor/Master degree in Computer Science, Computer Engineering or a related field (or equivalent experience).
Preferred Qualifications:
Experience with Endpoint Security framework and/or Network Extension framework.
Experience with System Integrity Protection and System Extensions development.
Experience with Swift, Objective-C and application development for macOS.
Understanding of networking protocols and system-level APIs.
Previous experience in leading projects or teams in a remote work environment.
Experience in Cyber Security domain.
Familiarity with XPC, gRPC and protobuf.

Requirements:
8+ years of experience in software quality assurance and testing, with at least 3 years in a Test Architect or similar leadership role.
Deep understanding of various testing methodologies (e.g., functional, performance, security, integration, regression).
Extensive experience with test automation frameworks (e.g., Selenium, Playwright, Cypress) and programming languages (e.g., Python, Java, C#).
Proven ability to design and implement end-to-end testing solutions for large-scale applications.
Experience with CI/CD pipelines and integrating automated tests into the development workflow.
Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
Excellent analytical, problem-solving, and communication skills.
Bachelor's degree in Computer Science, Engineering, or a related field.

Requirements:
Required Qualifications:
5+ years of full-stack development experience with TypeScript/JavaScript
2+ years of technical leadership experience - leading teams, mentoring developers, or senior technical roles
Strong frontend focus - exceptional skills in creating intuitive, responsive user interfaces and experiences
Backend proficiency - solid experience with server-side development, API design, and database management
API development - proven experience building scalable REST APIs, tRPC endpoints, and handling real-time data with WebSockets
Database expertise - proficiency in database design, complex queries, optimization, and data modeling (preferably with ORMs like Prisma)
System architecture experience - ability to design scalable applications and make informed technical decisions about data flow, caching, and performance
Deep expertise in js architecture, patterns, and best practices (e.g., App Router, Server Components, API routes, hooks, state management, component composition, performance optimization)
Leadership and communication skills - proven ability to lead technical discussions, mentor developers, and communicate with stakeholders
Experience with code review processes, technical documentation, and engineering best practices
Proven track record of delivering complex full-stack projects from conception to production
Strong problem-solving skills and ability to make technical decisions under pressure
Preferred Qualifications:
Management experience - previous experience managing engineering teams or technical projects
Advanced system design - experience with microservices architecture, distributed systems, and high-scale applications
Production experience with TypeScript in large-scale full-stack applications
Experience with tRPC and end-to-end type-safe API development
DevOps and Infrastructure - experience with CI/CD pipelines, containerization (Docker), and cloud deployment (AWS, GCP, Azure)
Experience with message queues, event-driven architecture, and real-time systems
Technical hiring experience - interviewing, evaluating, and onboarding engineering talent
Experience with agile methodologies, sprint planning, and project management tools
Experience building dashboards and data visualizations (e.g., Recharts, js)
Knowledge of monitoring, logging, and application performance management (APM) tools
Background in cybersecurity or enterprise-scale applications
Experience with security best practices, data encryption, and compliance requirements.

Requirements:
What will you need?
M.Sc. / Ph.D. in NLP / Machine Learning / equivalent practical experience.
5+ years more hands on experience in NLP
5+ years experience in deep learning
4+ hands on Python/Scala programming experience.
Knowledge of machine learning techniques and algorithms and be able to apply them in data driven natural language processing techniques.
Familiarity with large language models (3B parameters +)
Ability to rapidly prototype ideas/solutions, perform critical analysis and use creative approaches for solving complex algorithmic problems.
Experience in building production quality deployment of applications related to natural language processing. - big advantage

Requirements:
Required Qualifications
5+ years of fullstack Backend development experience
Proficiency in Rust preferred, or experience in one of: Go, C++, Java, or TypeScript
Strong fundamentals in computer science and networking
Experience with cloud platforms, containerization, and microservices architecture
Strong understanding of SQL, NoSQL, NewSQL databases
Expertise in data pipeline technologies, ELK stack, and Apache Kafka
Preferred Qualifications
Experience with real-time data processing, analytics frameworks, and front-end technologies
Familiarity with metaframeworks like NextJS, NuxtJS, Sveltekit
Experience building high-throughput, low-latency systems for millions of users
Familiarity with big data technologies, time-series databases, and data warehousing solutions
Knowledge of GraphQL, infrastructure-as-code tools, and service mesh technologies
Technical Skills And Knowledge
Data pipelines and ETL processes
Distributed systems (Kafka, Flink/Spark, Redis)
ELK stack for log management and analysis
Cloud-native technologies and serverless architectures
API design and management
Performance optimization for large-scale systems
Key Competencies
Quick learner with strong problem-solving skills
Excellent communication and collaboration abilities
Self-motivated with ability to manage multiple priorities
Passion for cybersecurity and staying current with industry trends.

Requirements:
Managing a team of engineers: 5+ years of experience
Develop applications for one of Mac/Linux/Windows: 5+ years of experience
Mastery of C/C++/low level language: 5+ years of experience with low level code
Passion for problem-solving and debugging complex issues
Ability to understand other people's code quickly and effectively
Experience in Software Design and Object Oriented programming
Experience with complex SW multi-threaded environments
High attention to details
Keep focus under pressure
Great interpersonal communication skills
Excellent mentoring and delegation skills
5 years of experience in the Cybersecurity domain
Experience in modern C++ 11/14
Excellent english: both verbal and written
Advantages
Experience with developing cross-platform applications.
Security OS Internals and Kernel/Drivers development background
Experience with System Programming.
Experience in different types of programming paradigms
Experience in developing for Linux/Mac OS environment
Experience with working with customers on sensitive production incidents
Experience with agile software development
Familairy with CI/CD methodologies and CI/CD tools (Jenkins)
Manage remote (geo-located) team members and work in a multi-site environment.

Requirements:
B.Sc in a quantitative field (Computer Science / Engineering / Mathematics or similar).
M.Sc in a quantitative field (Computer Science / Engineering / Mathematics or similar), preferably with a Thesis.
7+ years of hands-on experience working as a Researcher and Data Scientist.
High proficiency in Python.
Highly experienced with classic Machine Learning (ML) solutions on various tasks: regression, classification, clustering, anomaly detection, etc.
Hands-on experience with Generative AI:
Large Language Models, including proficiency in Prompt Engineering & Optimization
LLM Fine-Tuning techniques
RAG
AI Agents
Hands-on experience with AI Tools for coding such as GitHub Copilot, Cursor, Claude Code, etc.
Experience with SQL.
Strong communication and collaboration skills.
Preferred Candidate will have:
Familiarity with the Cybersecurity domain.
Experience with Cloud ML ecosystems, like Google AI Platform, Azure, OCI.

Requirements:
5+ years of experience developing backend systems working with languages such as Node.js (big advant age) or python
Proven experience working with PostgreSQL or similar relational databases.
Experience with messaging systems and event-driven architectures.
Familiarity with microservice architectures and distributed systems.
Hands-on experience with Docker and cloud environments (GCP or AWS advantage).
Strong understanding of software design principles and RESTful API development.
Excellent problem-solving abilities and attention to detail
Bachelor's degree in Computer Science, Engineering, or related field

Requirements:
8+ years of experience in software quality assurance and testing, with at least 3 years in a Test Architect or similar leadership role focused on agent-based or low-level system software.
Deep understanding of operating system internals (Linux, Windows, macOS) relevant to agent behavior, including process management, file system operations, network interactions, and virtualization.
Extensive experience with test automation frameworks and programming languages (e.g., Python, C++, Go) for system-level testing.
Proven ability to design and implement end-to-end testing solutions for robust and highly performant agents.
Experience with CI/CD pipelines and integrating automated tests into the development workflow for agent builds.
Excellent analytical, problem-solving, and communication skills, with the ability to articulate complex technical issues.
Bachelor's degree in Computer Science, Engineering, or a related field.
Experience with security products (EDR, EPP, antivirus) is a significant advantage.

Requirements:
- Bachelors degree in Computer Science, Engineering, or a related field
- 5+ years of experience as a Java Software Engineer
At least 2 years of experience leading small to medium-sized development teams with hands-on responsibilities
- Excellent communication skills in English (reading, writing, speaking)
Technical Expertise:
Strong knowledge of Software Design, OOP, and Microservices architecture
Hands-on experience with Java, Spring Boot, Redis, Kafka, MySQL, React
Experience with web development concepts and best practices
Agile & Quality Focus:
Strong experience with Agile development methodologies
Understanding of testing methodologies and best practices
Bonus Skills:
Familiarity with DevOps processes and tools
Experience with AWS cloud services is a plus

Requirements:
5+ years of hands-on experience in Java backend development.
Strong understanding of Software Design, OOP, and Microservices architecture.
Experience designing and developing large-scale, distributed systems.
Expertise in Java, Spring Boot, MySQL, Redis, Kafka, and other open-source technologies.
Experience with testing methodologies, including unit testing, integration testing, and end-to-end (E2E) testing.
Strong problem-solving skills and the ability to think creatively.
Leadership & Mindset:
Ability to lead the development of complex components and features.
Passion for learning new technologies and improving system performance.
A team player with excellent communication skills and a proactive approach.
Comfortable working in a fast-paced, multi-tasking environment.
Excellent communication skills in English (reading, writing, speaking).

Requirements:
5+ years of experience as a Backend Engineer, ideally with Scala or server-side technologies
Passionate about designing scalable, distributed systems with a focus on resilience, performance, and clean, maintainable code, and comfortable working in production environments
Strong communication skills in both Hebrew and English, with a willingness to help others-our service supports thousands of engineers
Proactive in understanding why things are done the way they are and always striving to improve
Great interpersonal skills, a good sense of humor, and a highly motivated, collaborative mindset.

Requirements:
2+ years of experience leading R&D teams, and 5+ years of experience working in backend development
Expertise in Java, Scala, or similar languages
Experience with high-scale, distributed systems and microservice architecture
Knowledgeable in identity and access management, authentication, and authorization protocols
A track record of driving projects to successful completion
Excellent communication and collaboration skills in English and Hebrew.

Requirements:
5+ years of experience testing web-based and mobile systems, including creating complex software test plans and managing large QA integration projects
Proven experience in executing manual tests and reporting issues effectively
Excellent English proficiency
Strong time management, organizational, and collaboration skills
Familiarity with development methodologies, mobile apps, and web-related technologies like HTML, CSS, and browser debugging an advantage
Experience with automation testing, especially using Appium for iOS and Android an advantage.

Requirements:
7+ years of hands-on software engineering experience, including system design and production-grade development.
B.Sc. in Computer Science or Software Engineering (M.Sc. a plus).
Strong proficiency in Java and Python.
Experience in cloud environments (AWS, GCP, or Azure).
Hands-on experience with Kafka, SQL, and NoSQL databases.
Familiarity with machine learning fundamentals, NLP, information retrieval, and RAG architectures.
Experience building data pipelines for training, evaluation, or experimentation.
Proven ability to conduct prompt optimization, model evaluation, and cost-aware experimentation.
Self-driven mindset and curiosity to explore new tools, frameworks, and approaches in applied AI.
Nice to Have:
Fluency with AI-assisted development (GitHub Copilot, Cursor, JetBrains AI) and experience defining org-wide usage guidelines.
Experience with multi-model routing, tool-use/agents, and safety classifiers/guardrails.
Knowledge of model optimization techniques (quantization, distillation) and GPU/accelerator stacks.