דרושים » הנדסה » Senior FullStack Engineer

Requirements:
5+ years of experience as a Full Stack Engineer in production environments
Strong backend development experience with Python, Node.js, Go, or similar modern backend technologies
Familiar with frontend experience with React, TypeScript, and modern frontend frameworks
Experience designing and consuming REST APIs, event-driven systems, and distributed services
Solid understanding of cloud-native architectures and scalable web applications
Experience working with or integrating AI systems, LLMs, or agent-based architectures.
Strong product mindset and ability to work closely with cross-functional teams
Excellent debugging, problem-solving, and communication skills
Nice to Have
Experience with agent orchestration, context management, or retrieval-augmented architectures
Experience with Kubernetes, Docker, Terraform, or modern DevOps practices
Background in cybersecurity, data-intensive systems, or highly regulated environments.

Requirements:
2+ years of experience in software engineering (full-stack or strong frontend/backend with willingness to work across the stack)
Experience with:
React and TypeScript
Strong understanding of system design and API design
Experience working with modern development practices (CI/CD, testing, code reviews)
Ability to take ownership and drive features independently
Strong communication skills and ability to work closely with cross-functional teams
Fluent written and spoken English (Hebrew is a plus)
Nice to Have:
Backend experience with Java
(or strong backend experience and willingness to learn)
Experience working in high-scale or data-heavy environments
Passion for product thinking and user experience.

Requirements:
Knowledge and Experience:
Recently completed a bachelors degree in Computer Science, Information Systems Engineering, Software Engineering, or a related field from a leading university, with an average grade of 90 or higher.
Knowledge of or experience with Node.js and TypeScript.
Knowledge of web development technologies (e.g., HTML, CSS, React).
Familiarity with databases, including SQL and NoSQL.
Familiarity with version control systems (e.g., Git).
Understanding of software testing and quality assurance practices.
Prior experience with software development projects or internships.

Skills:
Ability to perform in a global company, in a multi-cultural environment.
Strong organizational and time management skills.
Ability to prioritize tasks effectively.
Strong work ethic, proactive, self-motivated, and results-driven.
Excellent communication and collaboration skills.
Proficient in spoken and written English.

Requirements:
* 4+ years of professional experience as a software engineer, with strong Full-Stack experience.
* At least 3 years of hands-on experience with Node.js for backend services and React for frontend applications in a production environment.
* Strong understanding of API design, frontend - backend integration, and data flow.
* Experience with cloud environments, preferably AWS - advantage
* Experience working with both SQL and NoSQL databases, including schema design and performance optimization - advantage
* Familiarity with CI/CD pipelines, automated testing, and production deployments.
* Strong understanding of application architecture, scalability, performance, and reliability.
* Ability to take ownership of features, collaborate across teams, and mentor other engineers.
* A passion for clean code, great Developer experience, and building products that scale.

Requirements:
Requirements:
5+ years of experience as a Full Stack Engineer.
Proven track record in designing and developing scalable backend services and APIs.
Experience using AI-powered development tools and agent-based workflows (e.g., Cursor, Claude Code) as part of the software development lifecycle.
Deep understanding of system architecture, code design, and scalability principles.
Collaborative team player with excellent communication and problem-solving skills.
Fast learner, open-minded, and eager to adopt new technologies.
Delivery-driven and data-oriented mindset.
Strong understanding of cloud architecture and distributed systems (AWS preferred).
Experience with CI/CD pipelines and modern DevOps workflows.

Nice-to-have:
Experience working on SaaS-based security products.
Background in SaaS or cybersecurity environments.
Experience with NoSQL databases and data lake storage solutions.
Mentorship or leadership experience.

Requirements:
BSc in Computer Science or a related degree from a recognized institution, or a strong track record in full stack development with advanced technical skills.
4+ years of experience in software engineering, with demonstrated delivery ofproduction features across both frontend and backend.
Strong proficiency with modern frontend frameworks such as React, Angular, or Vue, including TypeScript, component design, and state management for complex data-driven UIs.
Proficiency in one or more modern backend languages such as Python, Kotlin, Java, Go, C#, or equivalent, with the ability to adapt to new tools and technologies.
Solid understanding of RESTful APIs, HTTP, authentication/authorization flows, and integration of third-party tools and services.
Experience designing and consuming APIs that power rich, interactive frontend experiences.
Familiarity with distributed systems and cloud-native architecture (e.g., Kubernetes, microservices).
Working knowledge of data stores and messaging systems (e.g., PostgreSQL, Elasticsearch, Snowflake, Kafka, or Redis) sufficient to reason about performance and data flow end-to-end.
Experience with cloud platforms such as AWS, Azure, or GCP, and with modern CI/CD and frontend build/deployment workflows.
Strong problem-solving skills, with experience debugging issues across the full stack-from browser devtools to server logs and traces.
A proactive approach to task prioritization and a history of owning features from design through deployment with minimal supervision.
Prior experience working in the cybersecurity industry or with security-centric data pipelines and protocols is an advantage.
Bonus: Experience building developer-facing tools, SDKs, low-code/configuration UIs, or AI-assisted experiences.

Requirements:
Minimum 7 years of Fullstack Engineering experience (building, running, testing, and monitoring web applications).
Strong hands-on experience with: Node.js, Javascript, React, SQL, Typescript.
Experience with AWS/GCP cloud services.
Production understanding, strong methodology of testing, documentation and monitoring.
The ability to discover, diagnose and fix issues while improving a codebase's readability and an application's reliability.
Team player skills, self-starter, highly organized and proactive.
Bonus points if you like k8s, flux and friends or read clean code.

Requirements:
3-5 years of experience in software development (Mid-Level)
Strong experience in frontend development with React
Strong experience in backend development with Python or Node.js
Experience in SaaS / product-driven companies
Experience working with cloud environments (AWS or GCP)
Familiarity with AI/LLM-based systems or experience working on AI-driven products
Strong ownership mindset and ability to thrive in a fast-moving startup environment

Requirements:
Qualifications
7+ years of professional software engineering experience.
Strong Full Stack experience in C#,JavaScript ,React and modern frameworks.
Experience building and operating large scale distributed systems and cloud native‑ services with high availability and operational excellence.

Others:
Ability to drive projects with minimal oversight and influence technical direction.
B.Sc. or M.Sc. in Computer Science or Software Engineering.
Experience with real time analytics, observability, or ‑data intensive‑ systems.
Deep understanding of asynchronous programming, concurrency, and system performance.
Experience influencing architecture beyond a single feature or component.
Passion for building reliable platforms with significant customer impact.

Requirements:
What You Will Need:
8 or more years of professional experience in software engineering, with significant hands-on experience in AI engineering or applied machine learning.
Strong expertise in building AI-powered systems, including LLM-based applications, agents, and orchestration workflows.
Proven experience integrating and operating AI and ML models in production environments.
Proficiency in multiple programming languages, including Python and at least one of the following: .NET, Go, or similar backend languages.
Experience working across diverse technology stacks and product architectures.
Solid understanding of backend system design, APIs, and distributed systems.
Strong experience with databases, including data modeling, performance considerations, and working with both relational and non-relational systems.
Practical experience with DevOps practices, including CI/CD pipelines, containerization, and cloud-based deployment.
Comfort working in cloud environments and modern infrastructure platforms.
Ability to rapidly prototype, iterate, and evolve ideas into production-ready features.
Strong ownership mindset, curiosity, and ability to collaborate across teams.

Nice to Have:
Experience designing and building AI agents for real-world workflows.
Hands-on experience training, fine-tuning, or evaluating machine learning models.
Familiarity with MLOps practices and model lifecycle management.
Experience working in security, cloud platforms, or large-scale SaaS products.
Ability to communicate complex AI concepts clearly to both technical and non-technical audiences.