לוח משרות דרושים הייטק תוכנה משרה מלאה

Requirements:
* 1-3 years experience in data analysis, preferably in a complex business environment. Application of Magna Cum Laude graduates from top universities with no prior experience will be considered as well.
* Strong SQL skills with experience in querying large, complex data sets.
* BA / BSc in Industrial Engineering and Management / Information Systems Engineering / Economics / Statistics / Mathematics / similar background.
* A strong foundation in statistical methods and data modeling.
* Experience working with Cloud data Warehouses (Redshift, Big Query, or Snowflake).
* Quick learner, proactive/can-do attitude with high attention to detail.
* A strong sense of ownership, leading data initiatives from end to end independently.
* Ability to work in a fast-paced environment.
* Creative and critical thinking skills.
* A team player with strong analytical and problem-solving skills as well as a business sense.
* Excellent communication skills with fluent English (written and verbal); Strong "story-teller" that can communicate insights and recommendations effectively. Advantages
* Previous experience as a Marketing Analyst / Monetization Analyst / Close collaboration with similar teams.
* Experience with Marketing and User Behaviour analysis methods and models: Campaigns optimization, Retention, User activity funnels, etc.
* Hands-on practical knowledge in A/B testing to facilitate data -driven decision-making processes.
* Knowledge of Python for data prep, analysis and statistical modelling.
* Knowledge of statistics and experience using statistical packages for analyzing datasets.
* Experience working with BI tools for data visualization (Preferably Power BI or Looker).
* Experience in a tech company.
* Passion for Sport.

Requirements:
3+ years of writing frontend code using React
You are proficient with backend development (Node.js)
Experience working with TypeScript
Experience with implementing CI/CD pipelines
Experience working with production-grade systems and complex architecture
Very high standard for code quality
Independent, self-learner who enjoys solving hard and challenging problems
Strong desire to WIN BIG in a large market

Requirements:
Bachelor's or masters degree in electrical engineering, Computer Engineering, or related field
5+ years of experience in emulation engineering within the semiconductor industry
Extensive hands-on experience with Veloce, Palladium, Zebu, or equivalent emulation platforms
Experienced in design or debug of complex SOC, ARM CPU, fabric and AXI and AHB busses, and interfaces (DDR, PCIe, USB etc.)
Strong understanding of RTL design, synthesis, and gate-level implementation
Proficiency in scripting languages such as Perl, Python, and Tcl
Excellent problem-solving and debugging skills for complex hardware/software issues
Familiarity with software debug tools and CPU/SoC architectures
Strong communication skills

Requirements:
Strong Programming & System Design:
7+ years of professional software development experience, with a significant focus on backend systems, infrastructure, or platform engineering.
Deep proficiency in at least one of Java, Kotlin, or TypeScript, with a solid understanding of object-oriented design, functional programming paradigms, and distributed system architectures.
A strong commitment to writing clean, maintainable, performant, and thoroughly tested code.
Familiarity with frontend concepts or frameworks (e.g., Angular, React) is a plus.
Cloud-Native & Distributed Systems Experience:
Strong understanding of microservices architecture, API design, and asynchronous communication patterns.
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and infrastructure-as-code principles.
Experience with containerization and orchestration (e.g., Kubernetes, Docker Swarm) is highly desirable, or a strong willingness to learn and master it.
AI Infrastructure & Agent Understanding:
Experience or strong understanding of AI workflows, intelligent agents, or related frameworks/platforms (e.g., LangChain, RAG, machine learning serving).
Familiarity with concepts like Multi-Agent Communication Protocols (MCPs) is a plus.
A keen interest and strong willingness to learn and contribute to AI infrastructure and agent development are essential.
Problem-Solving & Innovation:
Exceptional problem-solving abilities, capable of tackling complex, ambiguous infrastructure challenges and finding innovative, scalable solutions.
Curiosity and a proactive approach to learning new technologies and applying them to solve real-world problems.
Communication & Collaboration:
Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences.
A highly collaborative mindset, eager to share knowledge and contribute positively to team dynamics.

Requirements:
At least 5 years experience as an DevOps Engineer.
At least 2 years of experience in 2 of these cloud providers - AWS, GCP, Oracle cloud.
Experience in Cloud Emigration.
Experience in Oracle cloud in an advantage.
At least 3 years of experience in automating ops and dev processes (Bash / Ruby / Python).
Two years of experience in automating application deployment, packaging and other aspects of release lifecycle.
Deep knowledge in Kubernetes (Docker Compose, Helm, etc) A must
Strong troubleshooting and debugging capabilities, both technically and personally in a development team.
Experience in Jenkins or a similar modern CI system.
Experience in cloud providers and virtualization especially in OCI.
Experience with configuration management tools such as: Puppet, Chef, Ansible.
Experience with Hashicorp tools (Consul, Vault, Terraform) A Must.

Requirements:
4+ years of experience managing QA teams (managing at least 4 team members)
4+ years of experience as a QA engineer.
Proven strong background in QA methodologies and tools - automation, networking, web protocols, databases, VM and cloud environments
Experience working with complex systems (mainly server side)
Knowledge of at least one programming language (preferably Python or Java) and automation tools.
Knowledge of CI/CD tools, GCP/OCI is an advantage.
Strong technical skills: ability to deep dive into complex problems & find their root cause
Excellent leadership and communication skills
Experience in an Agile Scrum environment is preferred.