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Requirements:
Requirements:
At least 1 year of hands-on experience in a DevOps role.
Experience with CI/CD tools, version control systems, and monitoring tools.
Experience with terraform and k8s.
Familiarity with Linux environments.
ervice-oriented mindset, quick learner, and team player.

Advantages:
Experience with cloud environments (AWS / Azure / GCP).
Scripting skills (Bash, Python, etc.).

Requirements:
At least 3 years as Team Leader of R&D
At least 6 years of proven experience as a Software Engineer (C# preferred)
Working with a multi-threaded environment and on large-scale systems
Bachelors degree in computer science or related field.
Excellent analytical skills.
Excellent written communication and problem-solving skills.
Deep interest and foundational knowledge in Large Language Models (LLMs) and Prompt Engineering.
Proficiency with cloud providers such as Azure, AWS, or GCP (advantageous).
Knowledge of Python (advantageous).

Requirements:
1. Technical Expertise
Cloud Data Platforms: Expertise in Google Cloud Platform (GCP)
services, especially in data-related services like BigQuery, Cloud SQL,
Dataproc, Pub/Sub, and Dataflow.
Data Engineering: Strong knowledge of data pipelines, ETL/ELT
processes, and data integration using GCP tools.
Database Management: Experience with both relational and
non-relational databases, including MySQL, PostgreSQL, and NoSQL
solutions like Firestore or Bigtable.
Programming Skills: Proficiency in Python, SQL, and possibly other
languages like Java or Scala, with a focus on data manipulation and
processing.
APIs and Integrations: Experience working with Google APIs and
third-party APIs for data extraction and integration.
Machine Learning: Familiarity with Google Cloud AI tools, such as
Vertex AI, and how to integrate machine learning workflows into the data
architecture.
Data Governance: Knowledge of data security, privacy, governance, and
regulatory requirements (GDPR, HIPAA, etc.).
2. Leadership and Management
Team Management: Ability to lead a team of data engineers, analysts,
and architects, providing guidance, mentorship, and performance
management.
Project Management: Strong skills in managing data projects, ensuring
timely delivery while meeting client requirements.
Collaboration: Experience working cross-functionally with stakeholders
such as solution architects, developers, and business teams to translate
business needs into data solutions.
Resource Allocation: Efficiently managing cloud resources to optimize
cost and performance.
3. Client-Facing Skills
Consulting: Experience in providing consulting services to clients,
including understanding their data needs, providing solutions, and
guiding them through the data modernization process.
Pre-sales Support: Supporting sales teams in scoping out client
projects, preparing presentations, and explaining technical aspects of
data solutions during pre-sales.
Client Relationship Management: Building and maintaining strong
relationships with clients to ensure satisfaction and long-term
partnership.
4. Certifications and Education
● Google Cloud Certifications:
● Professional Data Engineer (preferred)
● Professional Cloud Architect (preferred)
● Other Certifications: Optional certifications in data engineering or
machine learning from organizations like Cloudera, AWS, or Microsoft
Azure can be advantageous.
● Educational Background: Bachelors or Masters degree in Computer
Science, Data Science, Engineering, or a related field.
5. Soft Skills
● Problem-Solving: Ability to troubleshoot data-related issues and
implement scalable solutions.
● Adaptability: Ability to keep up with the rapidly changing cloud and data
landscape.
● Communication: Excellent verbal and written communication skills to
explain complex data systems to non-technical stakeholders.

Requirements:
Proven experience as a Solution Architect or in a similar role, with a strong focus on DataOps.
Deep understanding of data management principles, data modeling, and ETL processes.
Expertise in cloud technologies (AWS, Azure, GCP) and data platforms (Hadoop, Spark, Snowflake, Looker).
Strong knowledge of programming languages (Python, Java, Scala) and scripting languages (Bash, PowerShell).
Experience with DevOps tools and practices (CI/CD, containerization, orchestration).
Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.
Strong problem-solving and analytical skills
Bachelors degree in Computer Science, Engineering, or a related field.
Additional Info:
Send us your CV in English and become part of WideOps team!
Only short-listed candidates will be contacted.
Confidentiality of all applications is assured!

Requirements:
Basic Qualifications:
- Bachelor's degree in Electrical Engineering or a related field.
- 4+ years of engineering experience.
- Understanding the entire physical design flow (RTL to GDS).
- Deep understanding of sign-off activities (timing and physical verification).
- Experience in advanced nodes technologies and Implementation tools.
- Process and technology oriented.
- Leadership and mentoring skills.

Preferred Qualifications:
- Full-chip experience (floor plan, layout, timing).
- Previous experience in high-speed designs, multi-voltage (low power) designs.

Requirements:
Excellent phone and cold calling skills.
Excellent verbal and written communications skills (English & Hebrew)
Ability to multitask, prioritize, and manage time efficiently.
Proficiency in CRM is an advantage.
Previous experience in an outbound sales call center or a related sales position.
Technical background.
Ability to achieve targets.
BA/BS degree or equivalent.

Requirements:
* 35+ years of experience in compensation, benefits, or total rewards analysis.
* Strong analytical, modeling, and problem-solving skills.
* Advanced Excel skills (pivot tables, formulas, scenario modeling).
* Familiarity with compensation/ HRIS systems (e.g. HiBob).
* Experience in market surveys (Radford, Zviran, etc.), job leveling, and pay structure design.
* Excellent communication skills and ability to influence stakeholders.
* High discretion, integrity, and confidentiality.
* Knowledge of local labor laws and benefit regulations
* Understanding of equity / long-term incentive programs is an advantage
* Experience working in a global tech environment.

Requirements:
BSc or equivalent in Computer Science or Computer Engineering
2-4 years experience in customer-facing roles - Mandatory
Able to manage complex, escalated cases, involving multiple architectures across multiple platforms
Experience in Linux - Mandatory
Strong technical software-related debugging skills - Mandatory
Understanding of Java or other compiled language - Mandatory
Knowledge/experience with databases, LDAP, NGINX, Apache Tomcat - Advantage
Experience in DevOps industry - Advantage
Excellent spoken and written English.

Requirements:
Education and Experience Required:
Bachelor's or masters degree in computer science, engineering, information systems, or closely related quantitative discipline.
Typically, 10-15 years experience.
Native in Hebrew and fluent in english
Knowledge and Skills:
Strong programming skills in Python, Java, Golang, or JavaScript.
Deep expertise in software systems design, development methodologies, and integration across diverse platforms and technologies.
Proficient in cloud-based security concepts like using identity and access management, firewalls, VPN, and in-plane switching systems.
History of innovation with multiple patents or deployed solutions in software design.
Excellent written and verbal communication skills.
Ability to effectively communicate product architectures, design proposals, and negotiate options at business unit and executive levels.
#LI-hybrid
Additional Skills:
Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX).

Requirements:
Required Skills & Experience

7+ years of software development experience, with 3+ years in a leadership or management role.
Proven track record building and delivering cloud-native SaaS applications on AWS.
Strong backend expertise in Java / Python / C#.
Familiarity with frontend technologies (React, Angular, or Vue) and QA automation frameworks.
Solid knowledge of secure coding, authentication API design, and network security.
Practical experience integrating GenAI APIs (e.g., AWS Bedrock, OpenAI, Anthropic) to enhance automation, content generation, or analysis.
Excellent understanding of Agile/Scrum workflows and team dynamics.
Preferred Qualifications

AWS Certified (Solutions Architect, Security Specialty, or Developer).
Experience in cloud security domains (CSPM, CWPP, Serverless protection).
Background in AI-assisted development tools and modern developer productivity platforms.
Deep understanding of testing strategies, QA automation, and observability.
Soft Skills

Strong leadership, coaching, and communication abilities.
Balance between hands-on technical involvement and strategic delivery management.
Proactive, collaborative, and outcome-driven.
Passionate about innovation, security, and developer excellence.

Requirements:
Bachelor of Science in Electrical Engineering, Computer Science, or related field from a major academic institute.
At least 8 years experience as Physical Design Engineer.
Experience with COT/ASIC physical design flow covering: Synthesis, Floor-planning, Place and Route (P&R), Clock Tree Synthesis (CTS), Parasitic Extraction, Static Timing Analysis (STA) and Timing Closure, Physical Verification, Power Analysis, Formal Verification, DFT/DFM and ATPG insertion/pattern generation.
Deep sub-micron (28nm or below) process technologies.
Industry standard design processes for deep sub-micron designs.
Problem-solving and analytical skills.
Practical use of scripting languages Tcl/Python/Perl etc.
Experience of at least one of the following EDA tool flows: Cadence or Synopsys.
Communicating with other design teams, 3rd party IP and library suppliers and EDA tool vendors to improve scripts and tool flow.
Managing/Interfacing to sub-contract design service providers.

Requirements:
BSc in computer science or computer engineering
5 years of experience in development
5 years of experience in SW validation
Experience with Linux user space and bash scripts
Strong capabilities in triage and debug of SW system issues
Knowledge and experience in CI/CD (Jenkins) - advantage
Experience in python - advantage.

Requirements:
Proven Experience in either SCAN or MBIST tools and flows
At least 2 years of DFT experience in both SCAN/MBIST
At least 5 years of experience in the ASIC/SoC industry
Knowledge of Hierarchical SCAN methodology
Knowledge of Logic BIST (LBIST) and Test Point Insertion (TPI) flows
Knowledge of TAP protocols IEEE 1149.1/1500/1687 (iJTAG)
Knowledge in Automotive industry FuSa (Functional Safety)
Knowledge of Synthesis flows
Proven skills in Perl / Python / TCL
Excellent communication skills
BSEE/MSEE is required
If you are an experienced DFT engineer, seeking to learn, improve and to be challenged by new concepts and complexities in relation to DFT for Automotive - your place is with us!

Requirements:
Basic Qualifications:
- Experience programming in Java, C++, Python or related language.
- Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields.

Preferred Qualifications:
- Have publications at top-tier peer-reviewed conferences or journals.
- Experience in designing experiments and statistical analysis of results.
- Experience implementing algorithms using toolkits and self-developed code.
- Experience in solving business problems through machine learning, data mining and statistical algorithms.