לוח משרות דרושים מתכנת Python במרכז

Requirements:
Bachelor's degree in Electrical Engineering or Computer Science; Master's degree preferred.
Minimum of five years' experience in software development.
Proven expertise in Python and C#.
Experience in defining system software architecture and system engineering.
Proficient in writing characterization documents and software tests.
Familiarity with SQL Server, PostgreSQL, Elastic Search, and Redis databases.
Experience with Docker, Kubernetes, and CI/CD processes.
Proficiency in Linux systems.
Leadership experience in software teams is advantageous.
Experience with Matlab and software implementation of algorithms is a plus.
Knowledge of microservices, K8, S3, and private cloud technologies such as OpenShift.
Basic knowledge of SQL required, high-level experience preferred.
Implementation of algorithms experience is advantageous.

Requirements:
A Bachelors degree in software engineering or equivalent training is mandatory.
Proficiency in C++ is required.
A good understanding of Object-Oriented Design is essential.
Ability to work across multiple centers simultaneously.
High capacity for independent work and self-learning.
Ability to collaborate effectively within a team and excellent interpersonal relations.
Previous experience with computers, including working with Windows operating systems and Office applications.
Advantages:

Knowledge of Python.
Basic understanding of communication protocols (such as Ethernet and Serial).
Prior work experience in a similar role.
Exposure to Jenkins.

Requirements:
What you bring to the table
5+ years of professional engineering experience building and shipping production software, with on-prem delivery models preferable.
Self motivation and a drive to get stuff done. Working independently but closely integrated with the rest of the team, you will deliver and expect high quality results.
Demonstrated proficiency in an established programming language (C/C++ and Python are MUST).
Solid understanding of core Computer Science concepts (data structures, algorithms, time and memory complexity)
Strong OS Internals knowledge.
Working knowledge of Git and related workflows.
Excellent verbal and written English communication skills.
ADVANTAGES
Bonus Points
Experience designing, extending, and maintaining well-tested Go.
Experience with AWS, Docker, Terraform, and other cloud technologies.
Experience writing and maintaining complex distributed systems, parsers, query engines, indexing
Experience in continuous integration and delivery.
Experience working with distributed development teams.
Experience working with and contributing to open source projects and related communities.
Exposure to agile software development methodologies (Scrum, Kanban, etc).

Requirements:
5 years of hands-on experience and excellent knowledge of Linux systems.
Proven experience in scripting languages such as Bash/ Python / PERL.
Deep understanding of networks and information security.    
Experience configuring network and security devices: Switches, Routers, and Firewalls.   
Experience with virtual environment management ( VMware /HyperV/KVM).   
Experience managing Storage systems (NetApp, EMC, etc.) - an advantage.
Experience or familiarity with Ansible/Terraform - an advantage.
Experience in managing DNS servers - an advantage.
Experience in managing monitoring systems: Zabbix/Nagios/Prometheus - an advantage.
Courses in system, communication, information security, and DevOps - a significant advantage.
Academic degree in Computer Science, computer engineering, industrial engineering, and management engineering is an advantage.
Autodidact.
 

Requirements:
A degree in Computer Science or equivalent experience.
5+ years of development experience.
Proficiency with modern languages such as Scala, Kotlin, Rust or Go.
Familiarity with database technology such as MySQL and MongoDB.
Experience with SaaS development using AWS & Kubernetes.
Excellent verbal communication skills/ Good problem-solving skills / Team player /Attention to detail / Passionate.


Bonus:

Experience with Python.
Substantial experience with Scala and frameworks like Play & Akka.
Experience with optimization algorithms and Machine Learning models.
Contribution to open-source software.
Hands-on experience with Test-Driven Development.
A good understanding of reactive patterns.
Experience with functional programming.

Requirements:
Bachelors Degree in Computer Science or Engineering related field/technology Elite unit alumni with relevant experience
At least 5 years of experience in Python / Go / Node / Ruby / Java / C# / C++ (Python is a definite advantage)
At least 2 years of experience as a cloud architect (AWS/Azure/GCP) including experience in design, architecture, and implementation of SaaS systems
Excellent problem-solving skills and attention to detail.
Good communication skills and ability to work effectively in a team environment.

Requirements:
Docker Mandatory: Proficiency in operating and managing applications within a Docker environment, including understanding concepts such as images, containers, networks, and resource management.
Kubernetes Mandatory: Proficiency in managing and operating a Kubernetes system for container management and automation. This includes familiarity with fundamental Kubernetes concepts such as pods, services, configuration, and monitoring.
Helm charts Mandatory: Proficiency in creating, managing, and deploying Helm charts, which are popular tools for managing the installation of applications and services on Kubernetes.
Git Mandatory: Proficiency in using and managing Git, including version control, branching, merging, and managing source code history.
Jenkins Advantage: Knowledge of configuring, setting up, and managing Jenkins, a popular tool used for building and managing CI/CD pipelines and automation processes.
Groovy Advantage: Proficiency in the Groovy programming language is an additional advantage, as the language is widely used for scripting and automation processes in the DevOps environment.
Scripting in Linux Environment Mandatory: Proficiency in writing scripts in a Linux environment, which is essential for automating tasks and managing systems.
PowerShell Advantage: Knowledge of PowerShell scripting is an additional advantage, as it is commonly used for automation and management tasks in Windows environments.
Knowledge of Programming Languages Advantage: Proficiency in programming languages such as Python, C#, and JavaScript is an added advantage, as it allows for more versatility in developing automation scripts and customizing DevOps workflows.
Minimum Two Years of Experience:

A minimum of two years of relevant experience in DevOps or a related field is typically required.
A solid foundation in DevOps practices, tools, and workflows

Requirements:
B.A / B.Sc degree in a highly quantitative field - a must.
4-5 years hands on experience as a Data Engineer querying data warehouses (SQL), structuring data processes using quantitative techniques - a must.
Fast learner with high attention to details, and proven ability to multitask on several projects at a time. - a must.
Practical experience in Python and Infrastructure in data context. a must.
High analytical skills and the ability to deep dive into details. a must.
Google Cloud Data tools (BigQuery, Cloud Composer/Airflow) - a must.
AutoML, DataFlow, Neo4J - a plus.
Practical experience with distributed data processing like Spark - a plus.
Experienced in analyzing data, and gaining insights - a plus.
Experience working for a data driven company on a large scale - a plus.

Requirements:
BA/BS degree in Computer Science or a related technical field or equivalent practical experience
Over 3 years of experience in a data engineering role
At least 1 year of managing a team of data engineers/developers
Coding experience with Python
Experience with SQL and NoSQL databases 
Experience with data modeling, data warehousing, and building ELT/ ETL pipelines
Experience with Cloud technologies - AWS preferred
Experience building data pipelines with Big Data frameworks such as Spark, Hadoop, etc.
Experience working with CI-CD, Docker
Experience with Git and the various branching models
Experience with architecture and design patterns (microservices in particular) 
Technologically diverse background and ability/willingness to learn new things quickly

Requirements:
* Bachelor's degree in Computer Science or a related field.
* Minimum of 5 years of experience in backend development, particularly using JAVA, for complex systems.
* Proficient in writing advanced SQL code.
* Experience using JAVA Spring
* Strong interpersonal skills and the ability to collaborate effectively within a team.
* Experience with SaaS systems, microservices architecture, and large-scale projects.
* Excellent coding and debugging abilities.
* Solid background in agile methodologies.
* In-depth understanding of application performance tuning.
* Familiarity with TEST -driven development.
* Passionate about coding and staying updated with emerging technologies.
* Independent, quick learner, and a cooperative team player.
* Knowledge of Python /Scala is a significant advantage.
* Knowledge of MongoDB Nice to have

Requirements:
Bachelor's degree in a relevant field such as Statistics, Mathematics, Computer Science, or Economics.
Strong analytical skills with the ability to collect, organize, and interpret large datasets.
Proven experience in building, deploying, and monitoring of ETLs
Proficiency in data analysis tools such as SQL, Python, Pandas, Apache Spark / Beam, etc
Good understanding of data modeling principles
Familiarity with data visualization tools such as Tableau, Power BI, or Google Data Studio.
Excellent communication and collaboration skills.
Ability to work independently and prioritize tasks effectively.
Problem-solving mindset with a keen attention to detail.
Experience in a data-related role is preferred but not required.
Eagerness to learn and adapt to new technologies and methodologies.
Advantages:
MongoDB
AWS Cloud
CICD, Docker Kubernetes

Requirements:
1-2 years of experience as a Support Engineer within a technology or data-centric environment, OR be a recent graduate with a degree in Computer Science, Data Analytics, or similar fields.
Demonstrated strong understanding of databases and data structures, including proficiency in SQL query writing.
Experience with SaaS technical and data products, as well as familiarity with data operations spaces such as ELT and data orchestration.
Outstanding problem-solving abilities and analytical thinking, suitable for a fast-paced and team-oriented environment.
Excellent communication skills, with fluency in English both in written and verbal forms.
A strong eagerness to learn new technologies and frameworks.
Advantages:
Practical experience in working with APIs, preferably using tools like Postman.
Knowledge of Python or other scripting languages