לוח משרות דרושים מתכנת Python במרכז

Requirements:
At least 2 years of experience as a Security Researcher
Vulnerability research experience in any of the following languages: Python, Node.JS, Java, C
Experience with code exploitation (for example, Penetration testing in backend environments or web applications, or binary exploitation)
Programming experience in Python
Experience in writing technical reports
Experience in binary reverse engineering - an advantage
DevOps experience - an advantage

Requirements:
Vulnerability research experience in any of the following languages: Python, Node.js, Java, C, Go
2+ years of code exploitation experience (ex. penetration testing in backend environments or web applications or binary exploitation)
1+ years of team leading experience
3+ years of Python programming experience
Experience in writing technical reports
Advantage - experience in binary reverse engineering

Requirements:
3+ years of experience in a DevOps role, with a strong focus on managing Kubernetes-based environments and Helm orchestration
A proven track record in working with metrics-based monitoring and observability solutions such as Prometheus, Thanos, and Grafana
Experience developing in Python or any other advanced programming language
Hands-on experience with at least one major cloud provider (AWS, GCP, or Azure), specifically in building and scaling production-grade infrastructure
Experience implementing CI/CD and automation processes for the deployment of various observability systems and infrastructure components
In-depth knowledge of logging systems and data flows, with familiarity with tools like the ELK stack or Coralogix
Familiarity with APM tools and modern observability standards such as OpenTelemetry, New Relic, or Datadog

Requirements:
At least 6 years of experience in quality testing complex systems - SaaS and on-premises
Practical hands-on knowledge of cloud technologies (AWS, GCP, Azure), Kubernetes, Docker
Hands-on experience with automation frameworks such as Playwright with Python
Experience with leveraging Generative AI tools to accelerate quality-related tasks: test case creation, bug reporting, scripting/tooling, and more - an advantage
Ability to guide development teams, provide clear and constructive quality feedback, and challenge design or implementation decisions
Ability to take ownership using strong problem-solving and decision-making skills

Requirements:
Backend-LLM & agent architecture - 5+ years in production ML/AI and backend systems; recent hands-on experience with backend LLM systems, including agent workflows (e.g., LangGraph or similar), LangChain tooling and chains, state management, and streaming (e.g., SSE). You think in terms of nodes, state schemas, routing, and human-in-the-loop.
Technical stack - Proficient in Python; comfortable with LangGraph, LangChain, FastAPI, PostgreSQL, and optionally Azure AI Search or similar. Experience with LLM providers (OpenAI/Azure, Google Vertex AI, etc.) and RAG (retrievers, chunking, reranking) expected.
Generative AI in production - Proven track record building production GenAI applications, including multi-step agents, RAG, tool-augmented LLMs, and ideally human-in-the-loop or review flows. You care about observability, validation, and safe rollout.
Bachelor's degree or higher in Computer Science or a related field, and strong communication and collaboration skills.

Requirements:
3+ years malware research experience in any of the following languages: Native code (C, C++), .NET (C# etc), Python, Node.JS, Java, Go
Experience in writing technical reports
Programming experience in Python
Advantage - Binary reverse engineering experience
Advantage - DevOps experience

Requirements:
Degree in computer science/software engineering.
5 years of programming experience: Python experience at least 2 years- must.
AWS experience - must.
Experience with high-performance, multi-threaded, multi-processed environments.
Experience developing a high-scale, multi-tenant cloud SaaS mission-critical applications.
Knowledge of different databases - relational, Key-Value, document, Data Lakes.
Knowledge of microservices architecture and design patterns and best practices.

Requirements:
3+ years of professional experience as a software developer.
Strong proficiency in Python & Java.
Experience with backend development using FastAPI/Spring and REST APIs.
Familiarity with relational databases such as PostgreSQL.
Hands-on experience with Linux environments, Git and Docker.
B.Sc. in Computer Science or a related field, with a GPA of 85 or above.
Professional-level English - both written and verbal.
Advantage:
Experience with building AI or Generative AI solutions in a production environment.
Experiences with GitLab CI/CD pipelines, and Kubernetes (K8s)
Experience with Go.

Requirements:
You have 5+ years of experience building backend software in production, using languages like Go, Python, Java, C++, or Rust
Youve contributed to the design and development of backend services or APIs, and enjoy solving real-world engineering problems
Youve had some exposure to distributed systems (e.g., fault tolerance, messaging, scalability) and are excited to deepen your expertise
You write clean, maintainable code and approach system design with thoughtfulness and curiosity
Youre collaborative and eager to grow your impact by working on high-scale, high-reliability systems
Youre excited about leveraging AI tools to enhance how you code, solve problems, and build - or eager to learn how
You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
Bonus: Youre motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Requirements:
Bachelors degree in Computer Science, Computer Engineering, or related degree, and 5+ years of related experience, or Masters degree in Computer Science, Computer Engineering, or related degree, and 3+ years of related experience with hands-on Software and/or ASIC development
Demonstrated programming experience with C and C++, or System Verilog, or Design Verification
Consistently achieved effective communication and problem-solving skills

Requirements:
Strong proficiency in Python for backend development and AI-related systems
Solid understanding of large language models and generative AI techniques
Experience contributing to agent-based workflows or orchestration logic
Practical experience with prompt design and prompt optimization techniques
Understanding of microservices architecture and API-based system design
Hands-on experience with at least one major cloud platform (GCP, Azure, or AWS)
Professional Experience:
Up to 2 years of experience in software engineering, AI, or ML-related roles
Experience contributing to production or production-adjacent systems
Exposure to client-facing or consulting-style project delivery is an advantage
Education & Background:
Bachelors degree in Computer Science, AI, Machine Learning, or related technical field
(or equivalent practical experience and portfolio)
Soft Skills:
Strong analytical and problem-solving abilities
Clear technical communication skills
Ability to collaborate effectively across teams
Adaptability and eagerness to learn in fast-paced environments
Consulting mindset and client-oriented approach

Requirements:
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:
B.Sc. or M.Sc. in Electrical Engineering or Computer Engineering, or equivalent
At least 3 years of experience in implementing PCIe initialization code and PCIe subsystem, PHYs training, and calibration software.
Experience in Physical Layer (PHY) design and debug.
Experience in HW-SW integrations.
Strong debugging skills using high-end lab equipment (Analizer, Scope, BERT)
Experience in Silicon power-on - advantage
Strong knowledge of Python, C and C++ - advantage

Requirements:
Technical Expertise:
Advanced proficiency in Python for backend development and AI systems
Deep understanding of large language models and generative AI techniques
Hands-on experience designing and implementing multi-agent architectures
Advanced prompt engineering and orchestration strategies
Strong background in microservices architecture, API development, and production system design
Hands-on experience with at least one major cloud platform (GCP, Azure, or AWS)
Professional Experience
3-4+ years of experience in AI/ML development with significant GenAI project exposure
Proven experience in end-to-end software development in Python
Proven experience deploying and maintaining AI systems in production
Client-facing experience in technical consulting or solution delivery roles
Advantages:
Hands-on experience developing directly against LLM provider SDKs and APIs (e.g., OpenAI, Anthropic, Google), including tool/function calling, streaming, and advanced orchestration patterns
Docker and Kubernetes experience
OCR systems and document intelligence experience
Data pipeline development and maintenance experience
Education & Background:
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field (or equivalent demonstrated industry experience)
Soft Skills:
Strong problem-solving and analytical capabilities
Excellent technical communication skills
Ability to collaborate effectively across teams
Adaptability in fast-paced, evolving technical environments
Consulting mindset with strong client focus

Requirements:
At least 5 years experience of SW development experience working in a high-scale environment
Familiarity with common machine learning algorithms
Proficient in Python
Experienced with Big Data and Machine learning / AI technologies stack
Have the resilience to solve complex difficult problems.
Independent, focused, well organized, and capable of prioritizing and multitasking
Be proactive and detail-oriented, yet comfortable working in a dynamic environment with fast paced deliveries and changing requirements
B.Sc with honor from a leading University
Advantages:
Proficient in one or more general-purpose programming languages C/C++/Rust
Data science experience
Soft skills:
Eager to learn and teach others
Open-minded in search of great ideas
Team player, with strong feeling of responsibility on teams products / solutions