לוח משרות דרושים מתכנת JAVA עבודה היברידית

Requirements:
At least 3 years of experience as a software developer, demonstrating proficiency in high-level programming languages (e.g., C#, Java, Swift, Python, or similar).
3+ years of hands-on experience in data analysis, business intelligence, or a related field.
Advanced proficiency in SQL and contemporary data visualization tools (such as Tableau, Power BI, or Looker).
Experience with cloud-based data platforms, preferably AWS or Azure.
Exceptional problem-solving skills and meticulous attention to detail.
Strong verbal and written communication skills, with the ability to present complex data insights clearly and concisely to varied audiences.
Bachelors degree in Computer Science, Data Science, Statistics, or equivalent practical experience.

Requirements:
B.Sc. in Computer Science or equivalent
2-5 years of experience with Java
2-5 years of experience in web automation using Selenium WebDriver or Playwright
Experience in API testing
Familiarity with QA testing methodologies
Familiar with Agile methodologies and CI/CD
Dedication to take ownership on projects and end-to-end responsibility
Flexibility and versatility, autonomous and fast learning, creative thinking, passion to build new systems and improve existing ones
Advantages:
Knowledge of GIT, TestNG, or other automation infrastructure tools
Knowledge of Docker and K8S
Knowledge of JavaScript, and React
Familiarity with SQL
Knowledge of JavaScript, HTML, and React
Experience with Jira for task management and working in Agile environments.

Requirements:
MSc in Computer Science (or related field) from a top-tier institution Must
3+ years of experience in software development and code analysis algorithms Must
Strong programming experience in Java - Must
Excellent communication and collaboration skills Must
Hands-on experience building GenAI-based solutions (e.g., fine-tuning LLMs, agentic approaches, retrieval-augmented generation, prompt engineering)
Advantage:
Familiarity with ML for code, static/dynamic analysis tools, and AST-level representations
Experience with web application security, vulnerability detection, or remediation
Proficiency in one or more of: JavaScript, C#, Python, Go, PHP
Familiarity with cloud-native environments and CI/CD workflows (AWS, Azure)

Requirements:
5+ years of software development experience with strong expertise in one of the next: Java \ GO\ Python\ .NET
5+ years of frontend development experience with React, JavaScript, and Material UI.
3+ years of team leadership or management experience with demonstrated ability to mentor and develop technical talent.
Solid understanding of databases, including SQL and NoSQL technologies, with experience in designing efficient data architectures.
Proven experience with agile development methodologies and leading agile teams.
Strong leadership and communication skills with the ability to translate technical concepts to non-technical stakeholders.
Excellent problem-solving and analytical skills with experience making strategic technical decisions.
Experience managing full-stack development projects from conception through deployment.
Preferred Skills:
Experience with GenAI models, including GPT, Claude, Llama, and other large language models.
Hands-on experience building AI agents and implementing multi-agent systems for enterprise applications.
Knowledge of AI/ML protocols and frameworks
Experience with vector databases and retrieval-augmented generation (RAG) implementations.
Experience with cloud platforms such as AWS, Azure
Knowledge of containerization and orchestration tools like Docker and Kubernetes.
Familiarity with DevOps practices and CI/CD pipelines, including MLOps for AI model deployment.
Understanding of security best practices in software development and AI model security considerations.

Requirements:
4+ years of experience in backend development using Go (Golang) or at least one other compiled language (e.g.Node.js Java, C++, Rust). Must!
Experience designing and developing RESTful APIs.
Hands-on with Kafka, RabbitMQ, or similar messaging systems.
Proficient in PostgreSQL or SQL-based databases.
Experience with Kubernetes (K8s) and Docker.
Strong ability to troubleshoot, analyze, and resolve production issues.
Expertise in code analysis, debugging, and optimization.
Proactive with a strong ownership and initiative-driven mindset.
Bonus: Familiarity with MongoDB, Cybersecurity, SaaS, observability tools and cloud platforms (AWS, GCP, Azure).

Requirements:
5+ years of experience in software development, with a focus on Java
5+ React, TypeScript, Material UI.
Solid understanding of databases, including SQL and NoSQL technologies, and experience in writing efficient queries.
Familiarity with agile development methodologies and practices.
Ability to work independently as well as collaboratively in a team environment.
Strong problem-solving and analytical skills.
Excellent communication and interpersonal skills.
Preferred Skills:
Extensive experience with GenAI models including GPT, Claude, Llama, and other large language models.
Hands-on experience building AI agents and implementing multi-agent systems.
Knowledge of AI/ML protocols and frameworks
Experience with vector databases and retrieval-augmented generation (RAG) implementations.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Knowledge of containerization and orchestration tools like Docker and Kubernetes.
Familiarity with DevOps practices and CI/CD pipelines.
Understanding of security best practices in software development.

Requirements:
5+ years of professional experience in backend software development.
Deep knowledge and hands-on experience with Java, Python or Go -Must.
Strong understanding of cloud-native architectures (AWS/GCP/Azure), distributed systems, and DevOps best practices.
Experience developing security products or tools, or a strong interest and understanding of application security.
Understanding of modern AI/LLM use cases in software (e.g., embedding models in services, integrating model APIs, etc.).
Hands-on with AI coding assistants such as CodeRabbit, Cursor, Copilot, or similar.
Knowledge of secure software development practices, including threat modeling and vulnerability mitigation.
Nice to Have:
Experience working with or analyzing LLMs (e.g., GPT, LLaMA, Claude) in real-world applications.
Familiarity with AI security challenges like prompt injection, model leakage, and adversarial examples.
Familiarity with machine learning workflows, especially how models are trained, stored, and deployed in real-world applications.
Experience using tools such as LangChain, Hugging Face, OpenAI SDKs, or other AI ecosystems.
Previous work in the application/cloud security or DevSecOps domain.

Requirements:
7+ years experience in Java programming experience MUST!
Proven expertise with Spring Framework must.
Experience with Elasticsearch/MongoDB big advantage.
Strong background in Linux OS, Shell scripts and containerized environments (Docker, K8s).
Experience with cloud providers, cloud native systems and micro-services.
Experience with Kafka, RabbitMQ.
Experience with RDBMS (MySQL).
Excellent communication, interpersonal, and organizational skills.
Self-motivated, results-oriented, and a strong team player.
Ability to thrive in a fast-paced environment and meet deadlines effectively.
BSc in relevant field.

Requirements:
Vast of experience as DevOps team/ tech lead- A must
Good understanding of DevOps philosophy and practices.
Relevant cloud certificates (AWS ,AZURE, Google)
Good Coding/ scripting abilities.
Proven experience and a good understanding of the meaning of 24/7 production environments.
Proven hands-on experience with Kubernetes.
Seasoned technologist with an in-depth hands-on work experience with large-scale implementations of cloud solutions on the major cloud vendors (AWS + GCP preferred).
Knowledge and experience in software development (Java / C# / Go / etc.) and cloud technologies development platforms and tools.
Working experience migrating applications from on-prem to public cloud.
Experience working with development teams to build and deploy modern applications in public cloud, along with DevOps methodologies and processes.
Understanding and experience with various deployment models including current technologies such as containers, based on Kubernetes and other platforms.
Understanding of general computer science principles.
Understanding of networking in general and specifically in the public cloud.
Understanding of emerging technologies and end-user needs.
Strong analytical skills with the ability to learn new information quickly yet effectively.
Understanding of Agile, SCRUM and similar methodologies.
Preferred:
Demonstrated skills in leadership, communication, analysis, problem solving and planning.
Experienced, persuasive, and effective presenter, both written and verbal.
Excellent interpersonal and organizational skills, ability to handle diverse situations, multiple initiatives, and changing priorities.
Overall experience in the industry should preferably be above 10 years.
B.A/M.Sc. in Data Science, Computer Science, Mathematics, Statistics, etc- an advantage

Requirements:
Hands-on Experience building cloud-scalable, real-time and high-performance Data Solutions of 3-5 years in a capacity of a team leader.
Strong Programming Skills with Python/Scala (Java in addition is a plus).
Solid engineering foundations (good coding practices, good architectural design skills).
Proven experience and in depth knowledge with one or more of the following data platforms. Certifications are desired
Big Query big advantage
Databricks
Snowflake
Proven experience with building data pipelines, preferably with Airflow, DBT, Spark and alike
Experience with ETL tools like Rivery, Fivetran, Talend or others
Solid cloud development experience in one or more cloud providers. Certifications are desired
Advanced SQL knowledge and capabilities
Experience or knowledge in AI/GenAI/ML/MLOps - advantage
Team player, positive, likes to dream big and fulfill dreams all at the same time.