לוח משרות דרושים הייטק תוכנה במרכז

Requirements:
* At least 3 years of experience in coding with C/C++
* BSc./B.A. in Computer Science/equivalent degree graduate or relevant experience.
* Strong problem-solving skills along with the ability to work independently.
* Highly motivated with strong self-learning abilities.
* Ability to read and understand a large existing code-base.
* Strive to learn new things and gain experience. Preferred Qualifications:
* Experience with Python
* Knowledge in storage
* Experience in server-side development
* Experience in performance-oriented development
* Experience in developing enterprise-class software
About Infinidat Infinidat’s enterprise storage portfolio provides global enterprises and service providers with best-in-class solutions for primary storage, next-generation data protection, disaster recovery, business continuity, and cyber resilience Infinidat’s InfuzeOS on all our platforms is the only single, software-defined storage architecture in the industry that spans all platforms. We recently showcased the future of enterprise storage, cyber security, and hybrid multi-cloud with our new and exciting G4 launch! Not only has Infinidat won 24 awards in the first half of 2024 , but has also been a 6-time winner of the Gartner® Peer Insights™ Voice of the Customer Award for Primary Storage and we can go on, and on, and on

Requirements:
Must-Have:
* 2+ years of experience in QA automation for web and SaaS products.
* Strong knowledge of test automation frameworks (e.g., Playwright, Selenium, Cypress, etc.).
* Proficiency in a programming/scripting language (e.g., Python, JavaScript, Java).
* Experience integrating or working with AI tools or agents in testing (e.g., test case generation, GPT-based validators, self-healing frameworks).
* Solid understanding of QA methodologies, test planning, and defect lifecycle.
* Experience with CI/CD tools (e.g., Jenkins, GitHub Actions) and version control (Git). Nice-to-Have:
* Experience with API testing tools (e.g., Postman, REST Assured).
* Familiarity with performance or load testing tools.
* Experience working in Agile/Scrum environments.
* Knowledge of cloud environments such as AWS, GCP, or Azure.
* Interest in or experience with AI/ML applications in software testing. What We Offer
* Opportunity to work at the forefront of AI-assisted QA automation
* A dynamic and collaborative team environment
* Significant ownership over test strategy and tooling
* Professional growth through learning and experimentation with cutting-edge technologies
* Flexible work hours and remote work options About the Company: Appdome's mission is to protect every mobile app worldwide and its users. We provide mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform. Our platform delivers rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events™ threat-aware UI/UX control, ThreatScope™ Mobile XDR, and Certified Secure™ DevSecOps Certification in one integrated system. With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and businesses globally. Today, Appdome's customers use our platform to secure over 50,000+ mobile apps, with protection for over 1 billion mobile end users projected.
Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, se

Requirements:
* 3–4 years of hands-on experience with React Native Must
* 2+ years of experience with React.js Must
* 4+ years of JavaScript development experience building rich web/mobile applications – Must
* Strong CSS skills, with experience in TailwindCSS or Bootstrap Advantage
* Experience with TypeScript Next.js , and testing tools like Jest and Cypress Advantage
* High communication skills, self-learning ability, and strong motivation – Must

Requirements:
What Will Make You Stand Out?
* M.Sc. or Ph.D. in Computer Science, Mathematics, Engineering or a related technical field.
* 5+ years of experience in NLP, machine learning or deep learning.
* 2+ years of experience managing ML/AI or software engineering teams
* Excellent understanding of Deep Learning and modern NLP fundamentals, including Transformers, LLMs, RAG and Agents.
* Hands-on experience with deep Learning frameworks (Pytorch, Tensorflow or JAX) and other relevant libraries (HuggingFace, vLLM, etc.).
* Experience with LLM fine-tuning and deployment at scale on distributed GPU clusters.
* Familiarity with STT / ASR models and common audio / speech processing methods.
* Strong software engineering skills in Python.
Leadership
* Proven ability to lead high-impact teams in a fast-paced applied research environment.
* Experience defining and executing ambitious technical roadmaps and contributing to strategic technical decisions.
* Passion for mentorship, team-building, and fostering a culture of innovation.
* Strong cross-functional collaboration skills and the ability to work closely with PMs, engineers, and other stakeholders.
Bottom line? If you are a passionate, hands-on R&D leader with rich research experience and deep expertise who thrives in a fast-paced, innovative environment - we want to hear from you.

Requirements:
* 2-3 years as an Account Executive or Channel Partner Management, preferably in a B2B product oriented environment
* Experience in pipeline generation and management
* Strong communication and interpersonal skills
* Ability to manage multiple projects and priorities
* Excellent written and oral communication skills. Languages: English (native level or equivalent)

Requirements:
Deep technical & hands-on DevOps expertise. At least 4+ years of intensive experience in technical research or software engineering, with proven skills in setting up, configuring, and using a broad range of industry tools and technologies (example: Kubernetes, Artifactory, Snyk, GitLab, SonarQube, IDEs, security scanners, GitHub Actions)
Advanced research & analytical skills. Proven ability to conduct thorough technical investigations, analyze complex systems, source code, documentation, and market solutions. Leveraging AI tools for research when applicable
Compelling communication & visual storytelling skills. Excellent English communication (written and verbal). Ability to deliver presentations that clearly convey insights
Essential mindset. Highly curious, self-motivated, proactive. Comfortable in a dynamic, fast-paced company
Significant Advantages:
Background in deep technical QA (system architecture, performance analysis).
Knowledge or experience in the MLOps domain.
Bachelor's degree or higher in Computer Science, Software Engineering, or similar.

Requirements:
5+ years of experience in software development
Go proficiency: A minimum of 2 years experience as the primary programming language
Hands-on experience building scalable cloud-native microservices in SaaS
Understanding of Kubernetes, message-bus, caching, and key cloud-native tools for scalable systems
Experience with PostgreSQL and query optimization
Familiarity with API Gateway concepts (e.g., routing, data translation, rewrites, and access control) is an advantage
Experience in modern CI practices and tools.

Requirements:
5+ years of proven experience in AI / ML roles that include both research and production hands on work
5+ years of experience writing production-grade code in Python using modern paradigms such as Event Driven Architectures, microservices, and the like
Proficiency in building, training, running, and evaluating deep learning models using Hugging Face, Pytorch, Tensorflow, or similar frameworks
Proficiency in building production-grade Generative AI applications using techniques such as multi-agent architectures, RAG and fine tuning
Experience with the entire ML model lifecycle, from ideation all the way to productization
Experience with MLOps frameworks such as Amazon SageMaker, Vertex AI or similar for building end-to-end ML pipelines
Deep understanding of ML theory and the techniques to apply it in the real world, such as tuning, feature and error analysis, cross-validation, and over/underfitting
Bachelor's degree or higher in Computer Science or a similar computational discipline
Excellent problem-solving abilities and analytical skills
Strong communication and team collaboration skills.

Requirements:
Excellent communication, interpersonal, and collaboration skills.
Proven track record of successfully leading and delivering complex software projects.
Strong problem-solving, analytical, and critical thinking skills.
3+ years experience as a software engineer
2+ years of experience managing teams of software engineers
Proficiency in Node.js, AWS, React, Postgres
Familiarity with Django, distributed systems, Kafka, Redis, JS, TS.
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Ability to thrive and succeed in a hyper-growth environment where priorities shift fast

Requirements:
5+ years of overall software development experience, with at least 3-4 years specifically in GO/ Python / NodeJS programming, including advanced concurrency and performance optimization.
Strong C programming skills with experience in kernel-level programming, system calls, and low-level system interactions.
Deep understanding of kernel-level observability/tracing technologies for system analysis.
Experience with Linux system internals, including process management, file systems, and system calls.
Strong background in CI/CD environments, with mandatory experience in GitHub Actions.
Expertise in intelligent caching strategies.
Advantage Skills:
Experience with build system optimization.
Experience with TypeScript (Node.js).
Experience with distributed caching systems.
Experience with Kubernetes (K8s).
Familiarity with major cloud platforms (AWS, GCP, Azure).
Experience with platforms like Jenkins or GitLab.
Familiarity with containerization and cloud-native CI/CD environments.
Knowledge of performance profiling techniques.
Understanding of software dependency graphs and build orchestration.