לוח משרות דרושים בחיפה וסביבתה

Requirements:
Basic Qualifications:
- Bachelor's degree in Electrical / Mechanical Engineering.
- Ability to read mechanical / electrical drawings.

Preferred Qualifications:
- Experience with handlers and / or testers.
- Experience with ATC systems.
- Experience with thermo-mechanical solutions.
- Experience solving complex systems problems.

Requirements:
Basic Qualifications:
- University student studying Electrical Engineering / Computer Engineering / Computer Science / or similar (BSc).
- Available to work 2-3 days weekly.
- Proficiency in at least 1 software programming language.

Preferred Qualifications:
- Speak, write, and read fluently in English.
- 1.5 years remaining until graduation.

Requirements:
Basic Qualifications:
- 5+ years of low-level systems security research and vulnerability testing experience.
- Experience developing security tools (fuzzers, scanners, analysis frameworks).
- Security architecture design and threat modeling experience.
- Proficiency in C and experience with Python.
- Deep knowledge of security aspects of ARM/x86 processor architectures.
- Strong understanding of hardware security (secure boot, cryptographic implementations, side-channel attacks).
- Knowledge of security protocols and cryptographic primitives
- Technical English proficiency.

Preferred Qualifications:
- Background in firmware reverse engineering and vulnerability research.
- Experience with fuzzing frameworks (AFL++, libFuzzer, Syzkaller).
- Knowledge of virtualization security or hypervisor technologies.
- Familiarity with AWS services.
- Technical leadership, mentoring, and cross-functional collaboration.
- Security publications (research, CVEs).
- CTF, bug bounty, or competitive security research background.

Requirements:
Basic Qualifications:
- BSc in Electrical Engineering or Electrical Engineering and Physics. Make sure to include a grade sheet with your CV, in a single PDF.
- Strong foundations in physics and electromagnetics.

Preferred Qualifications:
- Communication, Electromagnetics, Signal processing, Microelectronics.
- Previous experience with lab equipment (e.g oscilloscope, spectrum analyzer) is a strong advantage.
- Familiarity with simulation/extraction tools (e.g. HFSS, Sigrity, HSpice) - an advantage.

Requirements:
Basic Qualifications:
- BSc student of Computer Engineering/Electrical Engineering (with at least 3 semesters left before graduation). Please include a grade sheet/academic transcript along with your CV in a single PDF when submitting your application. Available for 2-3 work days per week.

Preferred Qualifications:
- Knowledge in digital logic systems, computer networks and computer architecture.

Requirements:
Basic Qualifications:
- Bachelor's degree or above in computer science, electrical engineering, or related field.
- 5+ years of professional experience in SW development with strong hand-on experience in C development.
- Expertise in at least one of the following operating systems and solutions: Linux, Windows, DPDK, or FreeBSD.
- Experience with networking drivers development, understanding of the TCP/IP stack and experience with various networking protocols.

Preferred Qualifications:
- Work with the open source community and contributions to open source code.
- Experience with real-time performance profiling and optimization.
- Experience with BPF programming.

Requirements:
Basic Qualifications:
- 3+ years of building models for business application experience.
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
- Experience programming in Java, C++, Python or related language.
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Preferred Qualifications:
- Experience working with Agentic workflows.

Requirements:
5+ years of relevant experience:
Direct client sales/management.
Experience with Cloud technology A big pro!
Understanding of Big Data landscape and Business Intelligence technologies, as well as knowledge of how various cloud technologies (PaaS and IaaS) work together to drive deeper technology adoption within the existing large account base.
Demonstrated ability to achieve strategic goals in a fast-paced environment.
Ability to engage with both developer audiences as well as C-level IT and business leaders.
Bachelors degree or equivalent practical experience.
Ability to speak and write in Hebrew and English fluently

Requirements:
Education and Experience:
Bachelors degree in Computer Science, Information Technology, or related field.
Proven experience as a Cloud Architect with a strong focus on GCP.
Experience with AWS cloud services is highly desirable.
Certifications:
GCP Professional Cloud Architect certification is a plus.
AWS Certified Solutions Architect or other relevant AWS certifications are a plus.
Skills and Abilities:
Strong understanding of cloud computing technologies and current computing trends.
Excellent knowledge of cloud security, networking, and cloud storage systems.
Proficient in scripting languages and automation tools.
Strong problem-solving skills and ability to work under pressure.
Communication and Interpersonal Skills:
Excellent communication, presentation, and client-facing skills.
Ability to effectively articulate technical challenges and solutions to both technical and non-technical audiences.
Additional Requirements:
Ability to travel as needed for client meetings and project requirements.
Fluent in English, both written and verbal.

Requirements:
At least 4 years of hands-on Linux administration experience.
At least 2 years of hands-on Windows administration experience.
Strong understanding of networking concepts.
Experience with the following:
Strong Knowledge of Bash Scripting
Apache\Nginx configuration
MySQL\Postgres deployment and advanced configuration.
Jenkins\Chef configuration.
MSSQL deployment and management.
Strong understanding of SQL concepts.
Public Cloud: AWS\GCP\Azure is a big pro.
Software development background is a pro.
Excellent verbal and written English skills

Requirements:
5+ years of relevant experience:
Experience in Startup Companies in Account Management/Customer Success/Customer Engineering roles.
Experience with AWS, GCP, Azure, or other major public cloud is a must
Experience building and cultivating lasting relationships.
Great strategic thinking with the ability to understand customer needs, overcome objections and develop business cases.
Self-starter with highly developed interpersonal skills; you are motivated and result oriented
Bachelors degree or equivalent practical experience.
The ability to speak and write in Hebrew and English fluently is a must!Location: Hybrid / Tel-Aviv
Main Offices located in Matam, Haifa

Requirements:
Proven experience as a Solution Architect or in a similar role, with a
strong focus on DevOps.
Deep understanding of DevOps principles, practices, and tools.
Expertise in cloud technologies (AWS, Azure, GCP) and containerization
platforms (Docker, Kubernetes).
Strong knowledge of configuration management tools (Ansible, Chef,
Puppet) and CI/CD tools (Jenkins, GitLab CI/CD, CircleCI).
Experience with scripting languages (Bash, Python) and infrastructure
as code tools (Terraform, CloudFormation).
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:
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:
Proven experience as a Solution Architect or in a similar role, with a
strong focus on SecOps.
Deep understanding of security principles, practices, and tools.
Expertise in cloud security technologies (AWS, Azure, GCP) and
security information and event management (SIEM) tools.
Strong knowledge of vulnerability management, penetration testing, and
incident response processes.
Experience with security automation and orchestration tools.
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:
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.