לוח משרות דרושים מהנדסים במרכז

Requirements:
Computer Science degree or equivalent technical training.
2+ years of experience in Java or another JVM language with solid object-oriented design skills
Sharp analytical and problem-solving abilities for complex distributed systems challenges
Adaptability and comfort working in a fast-paced, multi-tasking environment where priorities can shift quickly

Requirements:
2-3 years of experience as a Software Developer, preferably with Full Stack or data-platform experience
Strong working experience with Python and/or TypeScript/JavaScript (Node.js)
Solid understanding of software engineering principles, design patterns, and clean code practices
Experience with REST APIs, SQL and NoSQL databases
Familiarity with Docker, cloud infrastructure, and microservices architectures
Strong problem-solving abilities and the ability to work independently in a fast-paced environment
Team player with excellent communication, ownership, and collaboration skills
BSc in Computer Science, Software Engineering, or equivalent experience

Requirements:
5+ years of experience as a Software Developer
Proficiency in Python and modern software engineering best practices
Experience with Linux, Git, and Docker.
Hands-on experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes)
Proficiency with relational and non-relational databases (e.g., PostgreSQL, MongoDB).
Experience with ML frameworks and GenAI (NumPy, Pandas, Scikit-learn, PyTorch, Hugging Face, LangChain, RAG)
Background in cybersecurity - big advantage
BSc in Computer Science or related field - advantage

Requirements:
6+ years of hands-on experience in Windows development, using languages such as C#, Python, Go, Java, or Rust for system-level engineering.
Proven track record of leading development efforts in a fast-paced, results-oriented environment, including responsibility for delivering products to customers (CI/CD pipelines, packaging, and release processes).
Bonus: Background in Windows internals, process injection techniques, or sandboxing technologies.
Strong advantage: Experience in security domains such as behavioral detection, endpoint protection, or anti-tampering.
Genuine curiosity about GenAI, LLM integrations, and modern developer tooling.
A strong sense of ownership and motivation to help define and build a new product line from the ground up.

Requirements:
Can-do approach with strong problem-solving mindset.
7+ years in backend or platform engineering.
Strong skills in Python, Java, C#, or similar languages.
Strong experience with CI/CD, build systems, automation, and developer tooling.
Experience with Kubernetes, containers, and Infrastructure-as-Code (Terraform, Helm/Kustomize).
Strong communication and architectural skills.

Requirements:
15+ years of experience as a Software Developer.
Coding experience in JavaScript and TypeScript.
BSc in Computer Science/Software Engineering or equivalent knowledge.
Strong problem-solving skills and ability to analyze complex technical challenges in a fast-paced environment.
Good communication skills.
Fluent English verbal and written.

Requirements:
3+ years of experience in test automation or software development with a strong focus on quality.
Strong hands-on experience with TypeScript / Node.js.
Proven experience with Playwright (or similar modern automation frameworks).
Experience working with CI/CD systems such as Jenkins and GitHub Actions.
Solid understanding of software testing methodologies, automation patterns, and best practices.
Ability to write clean, maintainable, and scalable code.
Strong problem-solving skills and a collaborative, proactive mindset.
Nice to Have
API testing experience.
Familiarity with cloud environments (AWS, Azure).
Experience working in Agile/Scrum teams.
Knowledge of Docker or containerized environments.

Requirements:
3+ years of hands-on experience.
Solid frontend capabilities with React, Next.js, and TypeScript.
Strong backend foundation in Python/Node.js, including API design and microservices patterns.
Comfort working in multi-cloud environments and deploying modern serverless/containerized workloads.
Ability to understand and troubleshoot distributed systems and production issues.
Experience designing and optimizing database schemas (SQL/NoSQL).
Good understanding of authentication, authorization, and identity systems.
High ownership mentality - writing maintainable, secure, and well-tested code.
Strong communication skills and the ability to work with cross-functional teams and customers.

Requirements:
Technical Expertise
Programming: Advanced proficiency in Python for backend development and AI applications
GenAI Mastery: Deep understanding of large language models (LLMs) and experience with major model APIs (OpenAI, Anthropic, Google, etc.)
Multi-Agent Systems: Expertise in designing and implementing GenAI multi-agent architectures
Prompt Engineering: Advanced skills in prompt design, optimization, and engineering techniques
Cloud Platforms:
Required: Hands-on experience with AI services in at least one major cloud platform (GCP, Azure, or AWS)
Advantage: Experience across multiple cloud platforms (AI Search, Vertex AI, SageMaker, etc.)
Development Frameworks: Experience with GenAI frameworks like LangChain and cloud-based retrieval services
Software Engineering: Strong background in microservices architecture, API development, and production system design
AI/ML Fundamentals: Solid understanding of deep learning principles and GenAI techniques
Containerization (Advantage): Experience with Docker and Kubernetes for deployment and orchestration
OCR Technologies (Advantage): Experience with Optical Character Recognition systems and document processing
Data Pipelines (Advantage): Experience building and maintaining data processing pipelines
Professional Experience
Mid+ Level Experience: 2+ years in AI/ML development with significant GenAI project experience
Production Systems: Proven track record of deploying and maintaining AI solutions in production environments
Client-Facing Experience: Comfortable with technical presentations and requirement gathering sessions
Education & Background
Preferred: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related technical field
Alternative: Demonstrated industrial experience in developing deep learning and GenAI solutions (degree not required with strong portfolio)
Soft Skills
Problem-Solving: Excellent analytical and creative problem-solving abilities
Communication: Strong technical communication skills for both technical and non-technical audiences
Collaboration: Proven ability to work effectively in cross-functional teams
Adaptability: Thrives in fast-paced environments and eager to learn emerging technologies
Consulting Mindset: Ability to understand client needs and provide strategic technical guidance.

Requirements:
3+ years building production web applications with modern frameworks
Strong understanding of component-based frontend architecture
Experience with RESTful APIs and database design principles
Proficiency in a statically-typed language (TypeScript, Go, Java, etc.)
Knowledge of testing strategies (unit, integration, e2e)
Understanding of containerization and deployment pipelines
Experience with message queues and event-driven architectures

Requirements:
4+ years of hands-on software development experience.
Expert-level proficiency in:
React (hooks, context, state mgmt libraries, performance optimization)
Node.js
TypeScript (advanced typing, decorators, generics)
Experience building end-to-end features in a production SaaS environment.
Solid understanding of web architecture, REST APIs, asynchronous programming, and distributed systems fundamentals.
Experience with databases (SQL or NoSQL) and ORMs.
Knowledge of Git, CI/CD pipelines, and containerized development (Docker).
Ability to take ownership, work independently, and deliver high-quality code.