לוח משרות דרושים הייטק

Requirements:
Requirements:
4- 5 years of experience in software automated tests.
Expertise in API testing, including automated validation of backend services
Solid understanding of testing methodologies, QA lifecycle, and SDLC best practices.
Strong experience with automation tools such as Playwright, Selenium, TestNG, or similar.
Proficient in scripting languages such as Python, C# etc.
Experience with CI/CD tools and practices and understanding of AWS cloud environment, serverless infrastructure and event-driven processes.
Strong analytical and problem-solving skills, with a keen eye for detail.
Excellent communication skills and the ability to work collaboratively in a team environment.
Experience working in Agile environments with cross-functional teams - must

Advantages:
Familiarity with AI tools and technologies significant advantage/
Experience with Gherkin syntax and its implementation (e.g., Cucumber, SpecFlow).

Requirements:
A Bachelors Degree in Electrical Engineering or Computer Science.
Exposure to design and verification tools.
5+ years of hands-on pre-silicon verification experience.
Strong interpersonal skills and ability & desire to innovate.
Ways to stand out from the crowd:
Experience in Specman / System Verilog UVM.
Understanding simulation tools.
Experience in building test benches, evaluate coverage and debug simulation failures.

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:
Proven background in software engineering\building platform engineer teams from the ground up.
Hands-on experience managing and scaling cloud infrastructure, with deep expertise in AWS services-Must
Strong knowledge of tools like Terraform, Kubernetes, CI/CD pipelines, and Web Application Firewalls (WAF).
Proven experience with databases (e.g., MySQL, PostgreSQL, DynamoDB, SQL Server), including performance optimization, scalability, and backup strategies.
Demonstrated success leading cross-functional teams with excellent communication and strategic thinking skills.
A passion for enabling developers with efficient systems and tools that drive innovation and operational reliability.
Optimization, scalability, and backup strategies.

Requirements:
BSc. in Electrical Engineering or Computer engineering, or equivalent experience.
8+ years of practical verification experience.
Experience in developing verification environments and random based verification for unit level and system level using verification tools (simulation tools, Verilog, debug tools like Simvision/Debussy).
Experience with Specman is a plus.
Good understanding of RTL design (Verilog).
Strong debugging, problem solving and analytical skills.
Excellent communication and social skills.
Ability to work in a geographically diverse team environment.
Self motivated, independent and target oriented.

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.

Requirements:
Requirements:
2+ years of experience in as a mobile team leader preferably iOS - Big Advantage.
5+ years of experience in developing iOS native mobile features end to end- Must.
Expertise in Swift, SwiftUI, Combine, and structured concurrency.
Strong foundation in MVVM and clean architecture principles.
Experience with RESTful APIs, background modes, and location services.
Proficiency with Git and modern version control workflows.
In-depth knowledge of networking (REST, URL Session, WebSockets).
Solid understanding of concurrency (GCD, Operations, async/await) and memory management.
Hands-on experience with testing frameworks and CI/CD tools.
Proven track record of publishing at least one app to the App Store.
Excellent communication, organizational, and problem-solving skills.

Advantages:
Knowledge with TCA architecture patterns

Requirements:
BSc. in Electrical Engineering or Computer engineering, or equivalent experience.
5+ overall years of practical verification experience.
2+ years of verification managerial experience.
Experience in developing verification environments and random based verification for unit level and system level using verification tools (simulation tools, Verilog, debug tools like Simvision/Debussy).
Experience with Specman is a plus.
Good understanding of RTL design (Verilog).
Strong debugging, problem solving and analytical skills.
Ability to work in a geographically diverse team environment.
Good communication skills, motivator and target oriented.

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.

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.

Requirements:
B.Sc. in Electrical Engineering or Computer engineering or equivalent experience.
15+ years of practical experience.
Exposure to rtl implementation and coding.
Familiarity with verification tools.
Strong debugging, problem solving and analytical skills.
Strong communication and social skills are required.
Ability to work in a geographically diverse team environment.
Self motivated, independent and target oriented.
Ways to stand out from the crowd:
Prior Design or Verification experience.
Experience in developing sophisticated design blocks.
Integration of design elements to large cluster or full-chip.
Experience in working with back-end on area, power and timing closures.
Scripting ability.

Requirements:
5+ years of Sales or relevant experience, preferably with 1-2 years in the AI Infrastructure space.
Track record of selling complex solutions and an understanding of infrastructure deployments including lead times, margin analysis, and market demand.
Technical depth is strongly preferred.
Understanding of the Partner Ecosystem including but not limited to NVIDIA, AMD, Dell, Lenovo, Supermicro, Deloitte, Accenture, etc.
Proven success selling to the in-region markets and creating a new business from the ground up.
Strong experience in pipeline generation, deal management, closing, and working across departments.
Knowledge of the local AI Community and government space and a desire to build a new AI ecosystem with OCI at the center.

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:
B.Sc. in Electrical Engineering or Computer engineering or equivalent experience
5+ years of hands on DFT/ATPG knowledge & technical experience in DFT ASIC Design and in ATPG tools
Strong programming skills in scripting languages
Quick learner, proactive and self-motivated, eager to learn and contribute, sense or ownership, commitment, and responsibility
Ways to stand out from the crowd:
Knowledge of DFT including scan, MBIST, LBIST, on-chip scan compression, fault models, ATPG, and fault simulation
Experience in Mentor TestKompress ATPG tool and retargeting flow
Programming languages: TCL, PRL, Phyton & Unix shell scripts
Experience with ATE and Silicon bring-up.

Requirements:
Solid experience working with AWS services such as Lambda, API Gateway, S3, SNS, SQS.
Deep understanding and hands-on experience with SQL databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases (e.g., MongoDB, DynamoDB), including schema design and optimization.
Experience designing and implementing scalable backend architectures.
Ability to take full ownership of features and systems, from idea to production.
Strong communication skills, proactive mindset, and team-oriented approach.
Passion for innovation and continuous improvement.
3+ years of proven experience in backend development, with expertise in Python.