לוח משרות דרושים מתכנת Python במרכז

Requirements:
You have at least 10+ years of security research experience
Proficiency in developing C, Python or .NET.
Experience with leading features end to end.
B.Sc. or M.Sc. in Computer Science, Software Engineering, or relevant practical experience (e.g. service in an elite technology unit in IDF)
Preferred Qulification:
Offensive security research experience
Network security research experience
Industry recognized author of security research papers, blogs or books
Excellent cross-group and interpersonal skills

Requirements:
B.Sc. in Computer Science or equivalent 
4+ years of experience with SW development using Python, C# or Java.
Experience with AI models and Kubernetes
Experience with developing and operating code in the cloud on Azure / AWS / GCP 
Preferred: 
Master's degree in computer science or equivalent
Experience in GPU programming and GPU-accelerated ML workflows, including model optimization and debugging on GPU hardware
Other
Ability to build tools and infrastructure to improve shipping and ensure software quality
Strong ability in code and solution design, creating modular and reusable solutions in both code and AI infrastructures
Able to lead complex tasks in unknown territories independently and bring them to production
Skills to leverage AI in coding, testing, and building automations using tools like GitHub Copilot Agent, Cursor, Claude Code, Cline etc. 
Demonstrated ability to think creatively and out of the box

Requirements:
5+ years of experience with SW development using C#, Java, Python or similar language.
Practical experience with AI-based or agentic development tools (e.g., GitHub CopilotAgent, Cursor, Claude Code, Cline).
Highly Familiar with distribution formats such as MPEG-TS, HLS, MPEG-DASH, and CMAF, including segmenting and packaging for live and on-demand delivery.
Solid understanding of end-to-end streaming systems design: ingest (e.g., RTSP), processing/analytics pipelines, packaging/origin, CDN delivery, player behavior, and operational observability (metrics, logging, alerting)
Other-
B.Sc. in Computer Science or equivalent
Ability to automate quality control and alerting for streaming workflows to detect and resolve streaming issues rapidly.
Familiarity with video transport protocols such as RTSP, RTP, RTMP, SRT and related streaming technologies.
WebRTC experience for interactive streaming scenarios.
Proven experience with real-time or streaming data processing (e.g. Kafka or similar).
Proven ability to lead complex tasks in unfamiliar domains and deliver them to production.
Experience developing and operating code in cloud environments (Azure / AWS / GCP).
Experience with Docker, Kubernetes, and modern CI/CD practices.
Team player with proven communication skills
A proactive, ownership-driven approach with the ability to lead complex projects end-to-end.
Proven problem-solving and coding skills with a passion for elegant architecture.
Demonstrated ability to think creatively and being resilient to change
Hands-on experience with DeepStream (by NVIDIA) for building and operating real-time video analytics and streaming pipelines

Requirements:
You have at least 10+ years of security research experience
Proficiency in developing C, Python or .NET
Experience with leading a feature end to end (design, coding, testing, maintenance)
B.Sc. or M.Sc. in Computer Science, Software Engineering, or relevant practical experience (e.g. service in elite technology unit in IDF)
Preferred Qualifications:
Offensive security research experience
Experience in data analysis, and data-driven research
Industry recognized author of security research papers, blogs, or books
Excellent cross-group and interpersonal skills

Requirements:
5+ years of experience in software development with strong full-stack or backend skills (Node, Python, or similar).
Hands-on experience developing with AI/LLM technologies, building prototypes, integrating APIs, or training models.
Solid understanding of scalable system design, cloud infrastructure (AWS preferred), and data pipelines.
Curiosity about the intersection of AI, search, and eCommerce, and the creativity to build in uncharted territory.
Experience in startup environments or innovation teams, a strong advantage.
A builder mindset, proactive, low-ego, and passionate about shipping fast.

Requirements:
2-4 years of experience in software development with strong full-stack or backend skills (Node, Python, or similar).
Hands-on experience developing with AI/LLM technologies, building prototypes, integrating APIs, or training models.
Solid understanding of scalable system design, cloud infrastructure (AWS preferred), and data pipelines.
Curiosity about the intersection of AI, search, and eCommerce, and the creativity to build in uncharted territory.
Experience in startup environments or innovation teams, a strong advantage.
A builder mindset, proactive, low-ego, and passionate about shipping fast.

Requirements:
3+ years of experience building scalable backend services in a production environment.
Backend Fluency: Strong proficiency in modern backend languages (Java, Python, or Node.js) and their ecosystems.
Cloud Native: Experience building and deploying services on cloud platforms (AWS preferred), utilizing Kubernetes, containers and CI/CD pipelines.
Database Expertise: Solid understanding of relational databases (PostgreSQL/MySQL) and NoSQL stores (DynamoDB/Mongo).
Modern Development Workflow: Proven experience leveraging coding assistants to accelerate development and testing.

Requirements:
2+ years of experience experience in BI Development (DWH, ETL)
B.Sc in Computer Science, Mathematics or equivalent.
Proficient in SQL
Experience with BI reporting programs (Tableau, QlikView, Looker etc) - Advantage
Experience with Python - Advantage
Experience with Google BigQuery/Snowflake/Redshift - Advantage

Requirements:
At least 2 years of experience with Python
At least 2 years of experience with Data Engineering
Proficient in SQL
experience in writing ETL Processes
Experience with Google BigQuery/Snowflake/Redshift
Experience with 24/7 production systems and real-time analytics - Advantage

Requirements:
Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
Minimum of 5 years of experience as a Data Scientist or in a related field, with experience working in a production environment or PHD with relevant experience
Strong programming skills in Python and proficiency in SQL.
Deep understanding of statistical analysis, machine learning, deep learning and data visualization techniques.
Strong communication and collaboration skills to work effectively in a team environment.
Skills in developing AI agents, such as LLM-based assistants or autonomous workflows - advantage

Requirements:
5+ years of backend development experience with Typescript/NodeJS, Python or Go.
Experience working on high-scale distributed systems and proficiency in code architecture and design
Experience working on high-scale distributed systems
Versatile end-to-end technical experience, spanning from OS level through application and cloud, to CI/CD
Ability to quickly learn and adapt to new technologies and tools.
Strong problem-solving and analytical skills, capable of independently exploring, proposing, and implementing well-thought-out solutions.
Demonstrated commitment to excellence, proactiveness, and driving for success.
Bonus Skills:
Experience with C++.
Experience with Blockchains ecosystem.

Requirements:
5+ Years of Experience in data engineering and big data at large scales. - Must
Extensive experience with modern data stack - Must:
Snowflake, Delta Lake, Iceberg, BigQuery, Redshift
Kafka, RabbitMQ, or similar for real-time data processing.
Pyspark, Databricks
Strong software development background with Python/OOP and hands-on experience in building large-scale data pipelines. - Must
Hands-on experience with Docker and Kubernetes. - Must
Expertise in ETL development, data modeling, and data warehousing best practices.
Knowledge of monitoring & observability (Datadog, Prometheus, ELK, etc)
Experience with infrastructure as code, deployment automation, and CI/CD.
Practices using tools such as Helm, ArgoCD, Terraform, GitHub Actions, and Jenkins.

Requirements:
3+ years experience in data engineering or platform engineering roles
Strong programming skills in Python and SQL
Experience with orchestration platforms like Airflow/Dagster/Temporal
Experience with MPPs like Snowflake/Redshift/Databricks
Hands-on experience with cloud platforms (AWS) and their data services
Understanding of data modeling, data warehousing, and data lake concepts
Ability to optimize data infrastructure for performance and reliability
Experience working with containerization (Docker) in Kubernetes environments.
Familiarity with CI/CD concepts
Fluent in English, both written and verbal
And it would be great if you have (optional):
Experience with big data processing frameworks (Apache Spark, Hadoop)
Experience with stream processing technologies (Flink, Kafka, Kinesis)
Knowledge of infrastructure as code (Terraform)
Experience building analytics platforms
Experience building clickstream pipelies
Familiarity with machine learning workflows and MLOps
Experience working in a startup environment or fintech industry

Requirements:
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