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Requirements:
Bachelor Degree in Engineering or above (Electronics/Computer Engineering related), or equivalent experience.
5+ years of experience in Automation and Verification.
Proven experience with Python and C/C++.
Excellent problem solving skills.
Ways to stand out from the crowd:
Experience with sophisticated HW/FW/SW systems.
Experience Networking applications and protocols.
Experience with CI methodology & tools (Git, Gerrit, Jenkins, etc.).

Requirements:
At least 7 years of professional, hands-on experience building production-grade applications or systems.
At least 3 years of hands-on experience building and shipping applications with React Native, with a deep understanding of core principles - including navigation, component architecture, animations, and performance optimization.
Experience with TypeScript and JavaScript.
Experience working with mobile APIs, native modules, and debugging cross-platform issues.
Comfort working across the stack, including backend APIs or services.
Solid fundamentals in data structures, algorithms, and object-oriented programming, and knowledge of development best practices.
Experience with tools like Docker, AWS, or Fastlane is helpful but not required.
Exposure to native iOS or Android code is helpful but not required.
Strong attention to detail and for the user experience.
Self-motivated, curious, and adaptable to changing needs and priorities.
Excellent communication skills.

Requirements:
Excellent English spoken and written
Self-motivated and independent learner
Team-oriented, methodical and organized
Energetic and willing to work in a fast paced environment
Prior experience with Active Directory, networks, file sharing systems, security software
2-3 years experience in QA an advantage
Bachelors degree in Computer Science, Engineering or equivalent technical field experience an advantage
Prior experience with JIRA an advantage

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:
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:
BS or MS degree in Computer Science, Computer Engineering, or a closely related field or equivalent experience.
12+ years of experience as a software developer, with expertise in developing security technologies. 4+ years of experience as a SW Architect/System Architect.
Proficiency in both C++ and Python. Hands-on Linux development experience.
Deep knowledge of virtualization and containerization technologies.
Ability to quickly learn and apply new technologies and ideas.
Self-starter with a proactive attitude, capable of working independently and effectively within a team.
Excellent interpersonal skills, very important for collaboration with cross-functional teams.
Strong desire to work on the cutting edge of technology in a rapidly evolving environment.
Ability to work concurrently with multiple groups locally and abroad in the organization.
Excellent communication, documentation, and presentation skills.
Ways to stand out from the crowd:
Experience developing security products.
Proven knowledge and experience in the field of memory forensics.
Proven experience with storage networking.
Background in data center technologies and cloud.

Requirements:
B.Sc. in Computer Science or Electrical Engineering or equivalent
3+ years of experience
Proficient in Python and experienced with C and C++ in a Linux environment
Outstanding ability to communicate, clearly present one's ideas, and able to work as a team
Ways to stand out from the crowd:
Passionate about experimental work and data evaluation, hunger to get to the bottom of understanding where models fall short in the real world
Experience with Operating system
Knowledge in network protocols
Experience with Object Oriented Programming.

Requirements:
5+ years of hands-on experience in offensive security operations (e.g., red teaming, exploitation, adversary simulation).
2+ years of experience leading technical teams or complex offensive security projects.
Proven expertise in advanced attack techniques, including privilege escalation, lateral movement, evasion, and persistence.
Strong background in vulnerability research, exploit development, or reverse engineering.
Strong developing and automation skills.
Familiarity with EDR, SIEM, and modern detection mechanisms and how to bypass them.
Strong ability to translate complex technical findings into clear, actionable business insights.
Experience in client-facing roles, including presentations to senior stakeholders.
Excellent written and spoken English communication skills.