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Requirements:
3+ years of experience managing cloud costs in complex, large-scale environments with a proven track record of moving the needle on cloud spend.
A proactive, hands-on executor: You dont just report on costs; you actively identify overspend, propose technical solutions, and drive them to completion to deliver tangible savings.
Strong technical understanding of cloud-native architectures and experience in building or scaling efficient infrastructure.
Ability to analyze cloud usage economics to find the "sweet spot" between performance, scalability, and cost-efficiency.
Experience leading end-to-end cost optimization programs, from identifying inefficiencies to implementing company-wide governance.
Excellent communication skills and the ability to translate complex technical data into clear business insights for stakeholders at all levels.
B.Sc. in Computer Science, Software Engineering, or a related technical field.
Technical Stack & Tooling:
Deep, hands-on experience with Azure, AWS, GCP, OCI
Understanding of Kubernetes cost allocation and experience with tools to manage shared resource environments (Keda, Kubecost, etc.).
Proficiency with platforms like Umbrella, Azure Cost Management, or similar.
Experience with Terraform/Ansible/Python or implementing automated cost-governance and tagging policies.
Understanding of Kubernetes cost allocation and experience with tools to manage shared resource environments (Keda, Kubecost, etc.).
Proficiency with platforms like Umbrella, Cloud Native cost management tools, or similar.

Requirements:
5 years experience leading C/C++ SW team
Strong experience in C/C++ software engineering design, coding, integration, and debugging
BSc/MSc degree in Computer Science, Engineering, or equivalent
Mastering of the Linux operating system
Experience in block-level Storage/file systems
Experience developing in at least one of main the Cloud environments AWS, Azure, GCP, OCI
Great interpersonal skills, very good coaching skills.
Fast learner, team player, dedicated, Great design, Debug and Hands-on coding capabilities
Location: Tel Aviv.

Requirements:
Strong experience in systems programming, preferably C/C++
Deep understanding of database internals (e.g., query planners, storage engines, transaction processing).
Expertise in fundamental computer science concepts like data structures, algorithms, and operating systems.
Proven experience building or contributing to complex, high-performance systems such as databases, file systems, or distributed data platforms.
Note: Experience limited to writing SQL queries or database administration is not a fit for this position. We are seeking engineers with experience in the core engineering of a database system.

Requirements:
Strong stakeholder management skills, with the confidence and communication ability to influence senior leadership and cross-functional teams toward shared outcomes
Proven execution skills driving product, R&D, and business GTM teams to GA, maintaining end-to-end visibility, issuing meeting notes, and ensuring regular, clear communication with stakeholders
5+ years of experience with proven Program Management and Agile methodologies at scale - a must
Technical background, with a good understanding of the Software Development Life Cycle - a must
Experience in leading large-scale planning processes and shaping R&DProductNPI processes - a must
Knowledge of OKR and stream-aligned team methodologies
Experience in collecting, analyzing, and presenting data-driven insights to support informed decision-making at the leadership level
Proficient English communication skills, both written and verbal
Proficient with Jira - making the most of the Atlassian ecosystem, including experience with advanced RoadmapsStructure.

Requirements:
Work in a team of top-of-the-line software engineers, developing state-of-the-art management systems for managing mission-critical enterprise-level data platforms.
our companys management systems include:
A highly scalable platform featuring complex high-availability mechanisms, and advanced APIs, interoperable with a diverse software ecosystem.
A cutting-edge AI-based cloud-operated SaaS.
Hard-skills MUST requirements:
Experience in Javascript programming and related frameworks
2-3 years Experience in Angular(preferred) and/or ReactJS
Advantages:
Development experience in Databases, protocols (REST), Cloud-related software, high-scale systems
Experience with typescript, nodejs, charting libraries, data grids, canvas api
Understanding reactive programming (RxJS)
Mobile application development (Flutter)
Full-stack capabilities (e.g. Python).

Requirements:
10+ years of experience in software engineering, with at least 5 years in leadership roles managing diverse R&D teams
Proficiency in Software Development: strong experience in building and managing scalable systems using languages such as Go, Python, Java, or Node.js
Proven track record of delivering scalable cloud / SaaS services, operating in multi-cloud (AWS, Azure, GCP) and hybrid-cloud environments
Experience leading AI product (assistants, copilots, LLM-integrated workflows)
Exceptional leadership, communication, stakeholder, and customer management skills
Passion for empowering developers and enabling productivity through platform engineering
DevOps / DevSecOps experience - strong advantage
Growth mindset, with continuous learning in AI and agentic technologies.

Requirements:
Backend-LLM & agent architecture - 5+ years in production ML/AI and backend systems; recent hands-on experience with backend LLM systems, including agent workflows (e.g., LangGraph or similar), LangChain tooling and chains, state management, and streaming (e.g., SSE). You think in terms of nodes, state schemas, routing, and human-in-the-loop.
Technical stack - Proficient in Python; comfortable with LangGraph, LangChain, FastAPI, PostgreSQL, and optionally Azure AI Search or similar. Experience with LLM providers (OpenAI/Azure, Google Vertex AI, etc.) and RAG (retrievers, chunking, reranking) expected.
Generative AI in production - Proven track record building production GenAI applications, including multi-step agents, RAG, tool-augmented LLMs, and ideally human-in-the-loop or review flows. You care about observability, validation, and safe rollout.
Bachelor's degree or higher in Computer Science or a related field, and strong communication and collaboration skills.

Requirements:
Infrastructure Group manager
We are looking for an infrastructure group Manager to lead the infrastructure teams. He/she will be responsible for the developing and investigating complex product scenarios on top of state-of-the-art automation infrastructures and tools. He/she should be a great team player with the ability to develop strong working relationships and increase engagement / collaboration with peers to drive technology roadmaps.
Key Responsibilities
Leading a group of infrastructure team
leaders and Automation developers.
Leading Automation infrastructure planning of new and existing features.
Oversee the overall development automation and infrastructure tools, from design/planning to implementation and support to maintain high standard of software quality.
Assigns tasks, reviews work and may contribute to employee performance appraisals.
Building scalable and high quality and maintainable automation infrastructure.
Being an integral part of our thriving culture and improve the team and the company.
Working with cutting edge technologies -Kubernetes, docker, postgres, AWS, GCP, Azure and more.
Desired Skills
Relevant academic degree (CS/ CE / EE)
Python expert
At least 3 years as Group manager.
Experience in design and development of complex infrastructure.
Knowledge and experience in Linux - Must
Experience in design, coding, integration, and debugging capabilities
Self-starter, enthusiastic proactive mindset.

Requirements:
What Youll Be Doing
Lead a team of 5-7 talented Software Engineers
Design, build and set up development tools and infrastructure for use by the various teams in the R&D organization.
Among the different tools:
test infrastructure used by the QA
Maintain and develop API and interfaces facing the company storage product + different cloud providers.
full stack bug investigation portal
VM orchestration
Collaborate with other teams to improve the productivity of the entire R&D organization.
Dealing with diverse technologies and domains - Docker, Git, Python, Linux, Python, Storage,
Requirements:
5+ years of Python development experience (Object Oriented programming - not scripts).
2+ years experience working on Linux platform, be comfortable with Linux.
3+ years of experience in leading teams.
Strong technical abilities, problem-solving, design, coding and debugging skills.
Highly motivated and independent
Strong problem solver and out-of-the-box thinker
Ability to lead feature development, take full ownership of tasks from A-Z and deliver independently with minimum supervision.
Strong communication abilities
Strong multi-tasking abilities
Advantage:
Network, Storage, Virtualization, Docker, Git, HTTP, REST.

Requirements:
English (Fluent) - Required
German (Native or Fluent) - Required
Hebrew - Advantage
Strong communication and interpersonal skills
Ability to multi-task and work in a fast-paced environment
Motivated by individual and team achievement
Highly organized with the ability to multitask, prioritize, and manage time efficiently
Knowledge of Salesforce and use of sales acceleration tools like Outreach.

Requirements:
English (Fluent) - Required
Italian - Native speaker - required
Hebrew - Intermediate level - required
Fluent in Spanish/Polish - an advantage
Strong communication and interpersonal skills
Ability to multi-task and work in a fast-paced environment
Motivated by individual and team achievement
Highly organized with the ability to multitask, prioritize, and manage time efficiently
Knowledge of Salesforce and use of sales acceleration tools like Outreach.

Requirements:
Second-year students in Computer Science/ Engineering with a GPA of 90 and above with at least 3 semesters left
Availability to work at least 3 days per week (~27 hours)
Basic Knowledge of Linux (Shell commands, installations and scripting)
Graduating/Planning to take ML-related academic courses
Participated/completed AI-based projects/publications/etc.
Good understanding of Prompt Engineering principals
A high level of proficiency in English, including the ability to present and deliver presentations in English.
Leader - knows how to push and motivate others
Very bright, fast learner, independent and organized
Team player, pleasant person to work with, good communication skills, high level of integrity.
Advantages:
Basic knowledge in Java
Familiar with VMWare
Basic understanding of networking concepts (e.g., IP, routing, TCP/IP), relevant coursework or hands-on experience

Requirements:
Who is right for us? People at the beginning of their professional career who are looking for an opportunity to learn, develop, take responsibility and influence. Those who like to work with people, understand business processes and lead tasks and projects to success. If you have a positive attitude, the ability to learn quickly and a real desire to progress – we would love to meet you. Those who have completed an implementation course, or are familiar with the SAP system through QA roles, training or business users who have worked in the system. Graduates of Industrial Engineering and Management - an advantage
Location: Yakum Full-time One day of work from home

Requirements:
B.Sc. in Computer Sciences/Engineering or equivalent experience
5+ years experience in object-oriented programming -Java
5+ years of experience with UI and API test automation, including Selenium.
Proven experience building, maintaining, and scaling automation infrastructure frameworks.
Experience using AI-powered coding assistants such as GitHub Copilot, Cursor, or similar tools.
Experience using or developing AI agents, MCPs, skills, or agent-based automation workflows.
Experience in Linux/UNIX environments
Good written and verbal communication skills in English
Strong team player with excellent collaboration skills.
High level of integrity and ownership.
Organized, thorough, and detail-oriented.
Fast learner, independent, and proactive.
Advantages:
Experience with transforming non-agentic system/SDLC into agentic system/ SDLC
Knowledge in Cloud and/or dockers
Knowledge or relevant experience with Node.js, Angular, React
Experience in QA of network security software products

Requirements:
Bachelor's degree in Computer Science or equivalent
2-3 years of experience leading QA Automation teams (preferably global teams)
5+ years of hands-on experience in software development (Java or C#)
Hands-on experience in applying AI to improve testing efficiency, coverage, or quality (e.g., test generation, failure analysis, or automation acceleration)
Familiarity with AI-assisted coding tools (e.g., Copilot, Cursor)
Understanding of concepts like:
Test generation using AI
Good understanding of Prompt Engineering principals
Proven ability to effectively use AI chatbot tools (e.g., ChatGPT) for tasks such as test scenario creation, troubleshooting, and workflow optimization
Experience working with AI-powered coding assistants (e.g., GitHub Copilot, Cursor) within development environments
Proven ability to effectively use/develop AI Agents
Proven ability to effectively use/develop/configure MCPs
Proven ability to effectively use/develop skills
Self-healing tests
Flaky test detection and prediction
Ability to evaluate and integrate emerging AI tools into QA workflows
Proven experience in building and scaling automation frameworks
Strong experience with Selenium and API testing
Experience in manual QA and test design
Experience in networking - mandatory
Strong problem-solving skills and ability to operate in a fast-paced environment
Excellent communication skills in English
Mindset of continuous innovation and experimentation
Advantages :
Experience in QA of network security products
Experience working with Firewalls
Experience with AWS/cloud environments
Experience testing complex systems (UI, API, DB)
Experience in Linux/Unix environments
Experience building internal tools or platforms for QA productivity
Background in data analysis or metrics-driven quality engineering
Experience with developing MCPs
Experience with transforming non-agentic system/SDLC into agentic system/ SDLC
Experience with RAG pipelines and semantic search (vector databases)