לוח משרות דרושים מתכנת Python עבודה היברידית

Requirements:
* 5+ years of development experience, including 2+ years leading development teams
* Strong backend skills with a microservices mindset using Node.js or Python
* Comfortable working with both SQL and NoSQL databases
* Passion for building products that drive business value
* Clean coder, great communicator, and proactive leader Advantages:
* Solid experience with React / other frontend architecture
* working in scale with big amounts of Data.

Requirements:
What you'll bring:

5+ years experience in backend development in either Node.js/Python/Go experience.

Strong understanding and hands-on experience in backend technologies and architecture.

Hands-on experience with SAAS architecture and distributes systems.

Ability to carry requirements from the early phase to full implementation.

Passion for learning new technologies and applying them to make a difference.

Fluent in English, both written and verbal.

And it would be great if you have (optional):

Frontend development experience and understanding.

Experience working in a startup company.

DevOps and infra-oriented experience.

Requirements:
3+ years of backend engineering.
Deep experience in Node.js or Python (strong in the other).
Distributed systems/Kubernetes/cloud expertise; strong operational rigor.
Track record of scaling systems, improving reliability, and shipping fast.
Excellent communication, prioritization, and mentoring skills.
Nice to have:
Large K8s clusters (hundreds of nodes), GPU scheduling, NVIDIA stack (CUDA, Triton).

Requirements:
7+ years backend engineering, including 2+ years tech-leading or managing.
Deep experience in Node.js or Python (strong in the other).
Distributed systems/Kubernetes/cloud expertise; strong operational rigor.
Track record of scaling systems, improving reliability, and shipping fast.
Excellent communication, prioritization, and mentoring skills.
Nice to have:
Large K8s clusters (hundreds of nodes), GPU scheduling, NVIDIA stack (CUDA, Triton).

Requirements:
Practical experience in research of AI models, e.g. transformers, diffusion models, VAE/GAN.
Real passion and experience in AI generative area
Ph.D. in a related area, e.g. Computer Vision, Computer Graphics, VR/AR/MR.
Relevant experience to the position such as post-doctoral roles, a proven track record of publications from conferences e.g. Siggraph, ICCV, CVPR, ECCV, AAAI, NIPS.
Experience with machine learning or deep learning models, such as CNNs, RNNs and GANs.
Familiarity with computer vision libraries and machine learning framework, such as OpenCV, PyTorch, and TensorFlow.
Masters or PhD degree in computer science, electrical engineering, computer engineering, mathematics or other related field
Minimum 4 years of hands-on experience in research, engineering, or research & development
Proficiency in Python and C++
Minimum 4 years of experience with computer vision techniques such as object recognition, segmentation, classification, and tracking.

Requirements:
What Were Looking For (Must Have)

6+ years experience building production systems as a FullStack engineer.
Strong Python backend development, including production API design and service architecture.
Strong React experience is mandatory (modern React, hooks, component patterns, state management).
Proven ability to ship complete features independently across backend and frontend.
Strong knowledge of relational databases (PostgreSQL preferred) and data modeling.
Strong testing discipline (unit/integration tests), code review habits, and production ownership.
Excellent communication and ability to work cross-functionally in a fast-paced environment.


Nice to Have

TypeScript proficiency.
Experience with Docker and CI/CD pipelines.
Experience with cloud platforms (GCP/AWS).
Experience with async Python and performance optimization.
Experience with caching/queues (Redis, Celery, RabbitMQ,

Requirements:
B.Sc. in Computer Science, Software Engineering, or a related field, with 6+ years of related experience
Proven experience building and deploying production-grade backend systems
Proficiency in backend technologies such as Python, NodeJS, and cloud-native tools (AWS, Docker, Kubernetes)
Deep understanding of distributed systems, microservice design, and API architecture
Preferred Qualifications:
Experience leading design discussions and delivering end-to-end features
Hands-on experience with performance tuning and large-scale systems
Familiarity with observability and monitoring practices
Experience collaborating with product and business stakeholders to define technical priorities and translate product needs into engineering tasks
Strong communication and mentorship skills
Team player with high sense of ownership and accountability

Requirements:
B.Sc/M.Sc in Electrical Engineering or Computer Science from a top university.
5+ or more years of relevant experience required
System Orientation: Strong multi-disciplinary approach with multitasking capabilities.
Major Advantage: Specialization in Communication and Signal Processing.
Experience: Hands-on experience with lab work is advantageous.
Technical Skills: Proficiency in C++, Python, and Matlab is a plus.

Requirements:
Education: B.Sc/M.Sc in Electrical Engineering or Computer Science from a top university.
3+ years of relevant experience required
System Orientation: Strong multi-disciplinary approach with multitasking capabilities.
Major Advantage: Specialization in Communication and Signal Processing.
Experience: Hands-on experience with lab work is advantageous.
Technical Skills: Proficiency in C++, Python, and Matlab is a plus.

Requirements:
5 years of experience in building complex backend systems.
Experience in Python / C# is a significant advantage.
Expertise in microservice architecture
Proficiency in working with various backend technologies such as databases, caches, k8s, containers, Kafka and cloud environments.
Excellent problem-solving skills and ability to work well in a team.
Experience in the cybersecurity space is an advantage.

Requirements:
3+ years of experience in Data Engineering, including cloud-based data solutions.
Proven expertise in implementing large-scale data solutions.
Proficiency in Python, PySpark.
Experience with ETL / ELT processes.
Experience with cloud and technologies such as Databricks (Apache Spark).
Strong analytical and problem-solving skills, with the ability to evaluate and interpret complex data.
Experience leading and designing data solutions end-to-end, integrating with multiple teams, and driving tasks to completion.
Advantages
Familiarity with either On-premise or Cloud storage systems
Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team.

Requirements:
5+ years of experience in backend development Mandatory
2+ years of hands-on experience with Python Strong Advantage
Asynchronous programming and experience in developing performance-critical applications
Experience with Gen-AI and AI tools
Hands-on experience with Kubernetes and microservices Mandatory
Deep expertise in streaming services such as Kafka at large scale Mandatory
Proven experience architecting and building a large scale customer-facing cloud systems (preferably aws) - Mandatory
Self-driven with excellent analytical and time management skills
Strong team player with a problem-solving, get-things-done attitude
Willingness to improve platform that impacts numerous teams, applications and customers

Requirements:
Cloud Platforms: 5+ years of hands-on experience with Azure, AWS, or GCP for SaaS platforms in large scale production environments. 
Programming & Scripting: Strong coding skills in Python, Go, PowerShell,  Bash or similar. 
Operating Systems: 3+ years of hands-on experience administering Windows or Linux environments, configuration, troubleshooting, and deployment 
Infrastructure as Code: Deep, hands-on experience with Terraform, Pulumi, Packer, and Ansible for declarative infrastructure and configuration management. 
CI/CD & GitOps: Proficiency with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions) and GitOps workflows using ArgoCD or Flux. 
Containerization & Orchestration: Strong background in Kubernetes (AKS, EKS, GKE), Docker, containerd, Helm, and Prometheus. 
Networking & Security: Solid understanding of core infrastructure protocols and components including DNS, TCP/IP, Load Balancing, PKI, Firewalls, and Routing. 
DevSecOps Awareness: Familiarity with integrating security into CI/CD pipelines and infrastructure automation. 
Collaboration & Communication: Excellent interpersonal skills with the ability to lead cross-functional projects and communicate effectively in English. 
Advantages  
Azure Ecosystem: Familiarity with a wide range of Azure services, including: 
Virtual Machine Scale Sets,  Microsoft Entra ID, Event Hubs, Service Bus, App Service, Azure SQL, Azure OpenAI, KQL, Azure Functions, Azure Batch, and more. 
Monitoring & Incident Management: Experience with tools like Grafana, Azure Monitor, PagerDuty, OpsGenie, Datadog, or New Relic. 
Programming Skills: Development experience in C#/.NET. 
Education: Bachelors degree in computer science, Information Systems, or a related technical field.