לוח משרות דרושים סטודנטים למדעי המחשב התמחות

Requirements:
What you need to succeed:
Completion of at least two years of Software Engineering studies in a leading institutions with GPA above 85
Ability to work at least three days a week for at least three semesters
Knowledge of software testing principles
Knowledge of at least two development languages: C, C++, Python, C#, Java, GO
High ability to use new technologies and understand them in depth through rapid self-learning
Thorough and methodical approach to any task
Proactive by nature, internal drive for excellence and improvement
Creative, out of the box thinking
Great interpersonal relations, team player
How will you stand out from the crowd:
Previous experience in software development - Significant advantage
Can share an interesting project in github which you developed
Fluent in English, good writing skills.

Requirements:
B.Sc student in Computer Science, Computer engineering or equivalent degree, at least 3 semesters till graduation.
Available for 2-3 work days per week (flexible hours).
Linux basic knowledge Must.
Writing scripts in Python / Bash.
Good understanding of networking concepts.
Thorough and methodical approach to any task.
Proactive by nature; internal drive for excellence and improvement.
Fluent in English, good writing skills.
How will you stand out from the crowd:
Git, Jenkins, virtualization, containers, Kubernetes.
Cloud providers: AWS (preferred) / Azure / GCP.
Cloud monitoring tools such as CloudWatch, DataDog, ELK.
Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or an equivalent.
Configuration management using either Ansible, Puppet, Chef or an equivalent.
Familiarity with databases.

Requirements:
What you need to succeed:
B.Sc. student in Computer Science, Computer engineering or equivalent degree, at least 3 semesters till graduation.
Available for 2-3 workdays per week (flexible hours)
Experience with deployment on any cloud environment
Linux and Windows OS knowledge
Decent skills with cross platform scripting languages such as Python / Bash / Groovy / PowerShell
Solid knowledge in code repository management, GitFlow, and the software lifecycle
Good understanding of networking concepts
Collaborating with colleagues from different teams
How will you stand out from the crowd:
Explain how to manage and develop a code repository, using GitFlow as an example
Present your experience with deploying cloud environments on platforms such as AWS, Azure, or GCP
Describe the development and implementation of an end-to-end process utilizing the Jenkins automation platform
Elaborate on the design and execution of a process using Infrastructure as Code (IaC) tools, including Terraform, CloudFormation, or similar technologies
Provide an overview of an automation process you have designed using Configuration Management tools such as Ansible, Puppet, Chef, or comparable solutions
Discuss the strategy and execution behind designing a standard solution adaptable across multiple customers or tenants.

Requirements:
Enrolled as a Masters or Ph.D.student or a recent graduate of a Computer Science, Data Science, Mathematics, Statistics, or related program.
Solid foundation in machine learning, NLP, LLMs,, and statistical analysis.
Proficiency in programming (Python, R) and AI/ML tools.
Strong analytical and problem-solving capabilities.
Self-driven with the ability to thrive in both solo and team settings.
Clear and articulate communication skills.
Preferred Experience:
Understanding of LLMs and related technologies.
Skills in data visualization tools and methodologies.
Proficiency in SQL for database management and data manipulation.
Experience with big data technologies (e.g., Spark, Hadoop).
Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
familiarity with frameworks and languages like React, TypeScript, Angular or Vue.