לוח משרות דרושים מתכנת Angular

Requirements:
Strong Programming & System Design:
7+ years of professional software development experience, with a significant focus on backend systems, infrastructure, or platform engineering.
Deep proficiency in at least one of Java, Kotlin, or TypeScript, with a solid understanding of object-oriented design, functional programming paradigms, and distributed system architectures.
A strong commitment to writing clean, maintainable, performant, and thoroughly tested code.
Familiarity with frontend concepts or frameworks (e.g., Angular, React) is a plus.
Cloud-Native & Distributed Systems Experience:
Strong understanding of microservices architecture, API design, and asynchronous communication patterns.
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and infrastructure-as-code principles.
Experience with containerization and orchestration (e.g., Kubernetes, Docker Swarm) is highly desirable, or a strong willingness to learn and master it.
AI Infrastructure & Agent Understanding:
Experience or strong understanding of AI workflows, intelligent agents, or related frameworks/platforms (e.g., LangChain, RAG, machine learning servin
Familiarity with concepts like Multi-Agent Communication Protocols (MCPs) is a plus.
A keen interest and strong willingness to learn and contribute to AI infrastructure and agent development are essential.
Problem-Solving & Innovation:
Exceptional problem-solving abilities, capable of tackling complex, ambiguous infrastructure challenges and finding innovative, scalable solutions.
Curiosity and a proactive approach to learning new technologies and applying them to solve real-world problems.
Communication & Collaboration:
Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences.
A highly collaborative mindset, eager to share knowledge and contribute positively to team dynamics.

Requirements:
At least 5 years of hands-on experience in software development, with a focus on NodeJS + Modern Frontend framework (React, Angular, Vue)
Experience in Typescript
Experience working with relational DBs and non relational databases (MongoDB, PostgressDB, Redis)
Experienced in software development principles and best practices, with expertise in scalable and high-performance solutions and large-scale distributed systems.software best practices
Experience working with cloud provider
Excellent communication and problem-solving skills.
Eagerness to learn new technologies
Team player - Ability to work collaboratively with cross-functional teams.
Nice to have:
Familiarity with message brokers and data/ stream processing (Kafka, RabbitMQ)
Familiarity with Docker and K8s environments
Familiarity with big data and complex data ingestion pipelines

Requirements:
Must Have:
5+ years of experience developing client-side web applications.
Strong proficiency in JavaScript (ES6+) and TypeScript.
Proven experience with at least one major GIS mapping library:
ArcGIS API for JavaScript, Mapbox GL JS, OpenLayers, or Leaflet.
Hands-on experience with front-end frameworks:
React (preferred), or Angular / Vue.js.
Excellent knowledge of spatial data formats:
GeoJSON, KML, Shapefiles, TopoJSON.
Experience consuming geospatial web services:
REST APIs, WMS, WMTS, WFS.
Good understanding of coordinate systems and spatial projections (e.g., EPSG codes, reprojection).
Experience building responsive, cross-browser compatible GIS web applications.
Version control proficiency:
Git (GitHub/GitLab workflow).
Experience working in On-Premises environments:
Ability to develop, troubleshoot, and deploy web applications in isolated, offline networks (no Internet access).


Nice to Have (Advantages):
Experience with 3D GIS technologies:
CesiumJS, Deck.gl, Kepler.gl.
Familiarity with WebGL rendering for complex spatial data visualization.
Understanding of spatial indexing and geospatial search engines:
e.g., ElasticSearch Geo capabilities.
Experience integrating with cloud-based GIS services:
AWS Location Service, Azure Maps, ArcGIS Online.
Familiarity with backend GIS servers:
GeoServer, MapServer.
Performance optimization techniques:
Rendering of large datasets, clustering, lazy loading.
Knowledge of application deployment in secure environments:
e.g., usage of internal repositories, offline build processes, and containerization (Docker/Kubernetes advantage).
Experience with mobile-friendly GIS applications (Progressive Web Apps PWA concepts).