לוח משרות דרושים מתכנת Python

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

Requirements:
What Youll Bring:
Background in Computer Science, Engineering, or related discipline
Strong computer science fundamentals - algorithms, design patterns, OOP, threading, multiprocessing, etc. - Data Structure and Algorithms are the most important fundamentals in need, etc.
Clean and Concise coding style
Demonstrate mastery of any programming language. Python is best, or C++ is great, others are fine
Experience working in Linux environments is a huge plus
Experience building distributed or data intensive systems is a big plus
Demonstrated problem solving abilities, insight, and judgment as well as a strong attention to detail
Strong communication skills; ability to express complex concepts in simple terms, especially to non-experts
Understanding of basic probability, statistical inference, software solvers, mathematical optimization is a plus, but not essential
Interest and experience in LLM, agentic systems is a plus, but not essential

Requirements:
7+ years of experience in software development
Deep experience in at least one OOP language (e.g., Python, C#)
Experience with cloud-native environments and containerization (Docker, Kubernetes).
Familiarity with scalable architecture, distributed systems, and performance optimization
Strong understanding of testing strategies, code quality, and security best practices
Fluent in English and Hebrew - written and verbal
Experience with fintech, global teams, or scaling SaaS - Bonus
Bachelors degree in computer science or equivalent experience

Requirements:
2-4 years of experience in bi/data engineering, analytics engineering or a similar role.
Strong SQL skills and experience working with modern data warehouses.
Experience building and maintaining data models for analytics.
Familiarity with modern data stack tools such as dbt, Snowflake/Bigquery, Fivetran/Rivery, or similar.
Experience collaborating with analysts or BI teams.
Familiarity with Python for data-related tasks (scripting, automation, or tooling).
Hands-on experience using AI tools (e.g. Cursor, LLMs) as part of day-to-day development workflows.
Strong problem-solving skills and the ability to work in evolving data environments.
Clear communicator who can work effectively with both technical and non-technical stakeholders.

Requirements:
5+ years in Product Operations, R&D Ops, or related role at a scaling B2B SaaS company.
Deep Jira expertise - can self-serve on configuration, workflows, automations, and reporting.
Proven track record designing processes that measurably improve team velocity and output.
Strong analytical skills - turns data into dashboards and dashboards into decisions.
Excellent cross-functional communicator - translates between Engineering, Design, Sales, CS, and Marketing with ease.
Passionate about automations, AI, and efficiency - defaults to building systems, not fighting fires.
Experience with product tool stacks (Jira, Notion, PostHog, or similar).
Property management, PropTech, or vertical SaaS experience is a plus.

Requirements:
Technical Foundation :
7+ years of experience in software development
Strong experience in at Go, Java, Python, C# or similar
Experience with cloud-native environments and containerization (AWS, Docker)
Understanding of scalable architecture, distributed systems, and high-availability systems
Strong commitment to testing strategies, code quality, and security best practices
Essential Skills :
Fluent in English and Hebrew - written and verbal
Ability to work with financial transaction systems and handle sensitive data
Experience with real-time processing and fault-tolerant systems
Bonus Points :
Card Processing Expertise
Deep understanding of payment card networks (Visa, Mastercard, and/or SHVA)
Knowledge of authorization flows, clearing & settlement processes, and ISO 8583 messaging
Familiarity with card network compliance requirements and security standards (PCI-DSS)
Hands-on experience with Go (our primary language)
Experience with fintech or payment processing platforms
Background working with global distributed teams
Bachelor's degree in Computer Science or equivalent experience
Experience with regulatory compliance and audit processes

Requirements:
Proficiency in Hebrew and English language with excellent written and verbal communication skills
AWS Certified Security Specialty - Must
AWS Certified Solutions Architect - Professional - Must
Experience with Azure cloud security, including relevant certification (Azure AZ-104 Administrator)
In-depth knowledge of AWS security services (e.g., IAM, GuardDuty, CloudTrail, VPC security)
Expertise in cloud security architecture, including identity and access management, encryption, network security, and application security.
Strong skills in Linux, Bash, Terraform, Jenkins, Containers/Docker, and programming languages such as Python and JavaScript
Experience in security automation and incident response in cloud environments
A plus if you have:
AWS Certified Solutions Architect - Associate
Experience with endpoint security, including endpoint management and investigation tools, supporting endpoint-based investigations and response, working with XDR and DLP technologies and workflows (alert triage, investigation, containment, and remediation), and familiarity with the Microsoft security ecosystem (e.g., Microsoft Defender, Intune, Sentinel, Purview).
Experience working in a collaborative environment with cross-functional teams, embedding security into development, operations, and infrastructure workflows
Familiarity with FinOps practices, with the ability to balance security measures with cost-efficient strategies

Requirements:
Native level fluency in English and Hebrew (written and verbal) - Must
7+ years in software security engineering, including 4-5 years in AppSec of secure development enablement roles
Strong coding ability in one or more modern languages (JavaScript/TypeScript, Python, Go, Java, C#)
Proven experience teaching, mentoring, or enabling developers through training, code reviews, threat modeling, internal talks, or champion programs
Deep understanding of secure coding principles, common vulnerability classes, API security, and secure design techniques
Hands-on Experience with AppSec tooling (SAST, SCA, IaC scanners, secret scanning) and integrating them into the developer workflows
Experience with cloud native architectures and security in AWS or Azure
Familiarity with compliance and security frameworks (PCI DSS, SOC 2, FEIEC, NIST, OWASP, ASVS)
Excellent communication and storytelling skills - able to break down complex issues into simple, practical guidance
A collaborative mindset and passion for building a positive, empowering security culture

Requirements:
Requirements:
At least 5 years of hands-on software development experience in Python - A MUST.
Deep knowledge of Object-Oriented (OO) programming - A MUST.
B.Sc. in Computer Science or Engineering, or relevant military courses and experience.
Team player, with strong communication, collaboration, active listening, and problem-solving skills.
Proven experience developing real-time stream processing solutions
Agile/Scrum environment expertise.

Advantages:
Proven experience in C++ development.
Strong understanding of CI/CD concepts, including automation concepts.
Multi-process/threaded application knowledge.
Extensive startup experience.
Knowledge of Networking and Operating Systems fundamentals.

Requirements:
Design, implement, and maintain automation frameworks and test scripts using Python and Pytest.
Write unit tests, integration tests, and regression suites to ensure comprehensive test coverage.
Develop and execute system-level and end-to-end automation, including API and UI layers (Selenium preferred).
Contribute to and optimize CI/CD pipelines (Jenkins, Docker, Git) for reliable and scalable test automation.
Collaborate closely with SW developers, RF, QA, and DevOps engineers to embed automated testing into every phase of the product lifecycle.
Perform code reviews, provide technical guidance, and ensure automation code meets high quality and maintainability standards.
Analyze test results, identify root causes of failures, and drive timely resolution in partnership with development teams.
Continuously evaluate and introduce new tools, libraries, and practices to improve automation efficiency.
Support integration activities and ensure smooth interaction between hardware, software, and automation systems.

Requirements:
+ 2 Years of experience with analyzing data and extracting insights from it.
Experience in SQL and relational Databases.
Knowledge of protocols, networking and computers communication.
Experience with scripting languages (Python) and data analysis frameworks (Pandas, Jupyter).
High level of analytical and problem-solving skills with strong attention to details.
Reliability in execution of complicated and long tasks, Independent and self-learning skills.

Requirements:
Bachelors degree in Computer Science, Software Engineering (or equivalent work experience) - must
5+ years of experience as a software engineer with hands-on production experience with at least 3 years of work involving network-centric services or on-prem deployment. - must
Deep understanding of network protocols (TCP/IP, UDP, TLS, DNS, HTTP/S) and networking fundamentals - must
Proficiency in at least one programming language (e.g., Go, C++, or C#) and associated frameworks - must
Hands-on experience with Linux networking internals (sockets, routing tables, iptables, namespaces) - must
Experience deploying and maintaining on-premises software in customer environments - advantage
Familiarity with containerization and orchestration (Docker, Kubernetes, Helm) - advantage
Strong problem-solving skills and ability to work both independently and as part of a team
Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams