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Requirements:
3+ years of experience in solution , system and data architecture with a strong emphasis on backend platforms
Deep expertise in backend development using Java Spring and/or C++,Node.js, including designing scalable and highly available systems
Strong grasp of DevOps practices and tools, particularly containerization and orchestration (e.g., Docker, Kubernetes)
Extensive experience with data modeling, data warehouse , database design and management, including both SQL and NoSQL technologies as well BigData distibuted solution and modern data processing pipelines
Experience implementing security, compliance, and privacy requirements within solution architectures(i.e network security , authN and AuthZ practices ,data security practices)
Proven experience designing solutions leveraging cloud platforms (Azure, AWS, GCP) and managed cloud services
Solid grasp of GenAI patterns, including prompt engineering, embeddings, Retrieval-Augmented Generation (RAG), and related technologies
Leadership & Communication:
Demonstrated experience in development management, including team leadership and mentoring
Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders and collaborate across teams
Preferred/Advantageous Skills:
Azure certifications (e.g., Azure Solutions Architect, Azure Data Engineer
Solid understanding of AI/ML concepts and architecture
Proven experience with node js architecture
Proven experience in working with teams and stakeholders around the globe

Requirements:
Experienced Developer 10+ years of experience as a Backend Engineer, with a proven track record of delivering high-quality, scalable solutions.
Hands-On Developer Comfortable coding in multiple languages (Ruby preferred, Go, Java). Experience working with Generative AI technologies (GPT, Copilot, Cursor) is a plus.
Cloud Savvy Strong hands-on experience with AWS (or equivalent). Expertise in high-scale, distributed cloud architectures.
Business-Focused Driven by delivery and impact rather than rigid role definitions. You think beyond just backend development and consider the bigger product and business picture.
Collaborative & Team-Oriented Build strong relationships across disciplines, working closely with product managers, architects, and team leads to ensure impactful execution.
Adaptable & Resilient The team frequently shifts priorities based on urgency, requiring a high level of context-switching. You should be comfortable diving deep into complex codebases and working beyond your immediate scope.
Active & Engaged We operate in a fast-changing environment, with active engagement in meetings and Slack.
An Amazing Teammate You enjoy communication, humor, and forming real friendships with teammates, creating a fun and comfortable work environment.

Requirements:
Motivation & Attitude: Motivated, a self-learner and a team player with a can-do attitude.
Proven Experience: Demonstrated experience as a Software Architect or Principal Engineer in a SaaS or cybersecurity environment.
Architectural Expertise: Deep expertise in microservices architecture, large-scale distributed systems, and designing for scalability and security.
Technical Stack:
Languages: Strong background in C# and Python. Experience with TypeScript (Angular) is a plus.
Data: Hands-on experience with PostgreSQL, Elasticsearch, and Redis, including its use for caching and pub/sub.
Containerization: Solid understanding of containerization and orchestration using Docker, Podman, and Kubernetes.
Deployment Knowledge: Experience with multi-OS and high-scale client-server deployments.
Security & Certificate Technology: Deep understanding of secure communication protocols (SSL/TLS) and hands-on experience with digital certificate management, key rotation, and secure credential storage.
Leadership & Collaboration:
Exceptional collaboration and communication skills, with a track record of working effectively across cross-functional teams (Product, DevOps, QA, Support, Sales).
Strong leadership and mentorship abilities, including a history of shaping engineering culture.
Education: A Bachelors or Masters degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Requirements:
What we need to see:

MCSE or MCITP/CCNA certification.

3+ years of experience as lab manager.

Experience in supporting large and complex data centers.

Proven hands-on experience in Linux troubleshooting with good problem identification, resolution and solving skills.

In depth knowledge in Linux & Windows Core Services: DHCP, DNS, NIS, AD, etc.

Team Work, Service oriented, organized.

Ways to stand out from the crowd:

Scripting experience in Bash and/or Python.

Experience with configuration managements tools known in the community (e.g. Ansible, puppet).

CI & Known Job schedulers tools (e.g. Jenkins, SLURM).

Virtualization: KVM / VMware / Hyper-V.

Experience with L2 & L3 network protocols.

Requirements:
At least 4 years of experience in Customer Success or Customer Experience, including 2+ years in a technical support or engineering role.
Strong technical and problem-solving skills, with a passion for staying ahead of the curve in software security and development trends.
Excellent communication, collaboration, and presentation skills, with the ability to build strong relationships across diverse teams.
Data-driven approach with a focus on continuous improvement and measurable results.
Bachelors degree or higher in a related field, or equivalent work experience
Experience with Software Composition Analysis (SCA) or Static Application Security Testing (SAST) solutions a strong advantage.
Experience with software development build tools (e.g., NPM, NuGet, Maven, Gradle, Pip).
Experience with SDLC and DevOps tools (e.g., GitLab, Bitbucket, JFrog Artifactory, Azure DevOps, Jenkins, TeamCity).
Knowledge of containerization technologies (e.g., Docker, Kubernetes, OpenShift).
Familiarity with cloud environments (e.g., AWS, Microsoft Azure)
Familiarity with infrastructure as code (IaC) tools (e.g., Terraform, Ansible, AWS CloudFormation).

Requirements:
6+ years of software development experience, with at least 5 years in a technical leadership or team lead role
Strong hands-on experience in both React and Node.js with TypeScript
Solid understanding of scalable microservice architecture and API design
Proven experience managing or mentoring developers and fostering team growth
Strong knowledge of software engineering principles, DevOps practices, and agile methodologies
Excellent communication and collaboration skills
Comfortable navigating between coding, leading, and facilitating
Nice to Have:
Familiarity with feature flagging, A/B testing, or mobile CI pipelines
Background in telecom, fintech, or high-growth consumer apps

Requirements:
5+ years of experience in algorithm/software development
Outstanding MSc graduate in Computer Science, Computer Engineering, Mathematics, or Physics.
PhD- advantage.
Strong coding skills in C++ and Python.
Outstanding mathematical capabilities
Capable of self-learning scientific articles.

Requirements:
5+ years in IT with at least 3 years in a senior or lead infrastructure role.
Deep expertise in Azure and AWS infrastructure services.
Strong hands-on experience with PowerShell, Python, Bash, Azure CLI, AWS CLI.
Proficient in Microsoft Intune, Entra ID (Azure AD), and managing device compliance policies.
Advanced skills across Windows, macOS, Linux, and Docker platforms.
Understanding of endpoint protection, encryption, network segmentation, and compliance requirements.
Solid networking fundamentals (TCP/IP, DNS, DHCP, routing, VPN).
Proven experience with automation platforms (Workato, Torq, or similar) and modern ITSM tools.

Requirements:
Proven ability to take ownership and drive projects forward independently in fast-paced, evolving environments.
Exceptional communicator with a strong technical foundation and the ability to simplify complex concepts for diverse audiences.
Deep experience working directly with global customers in a technical capacity - whether as a TAM, Sales Engineer, Solutions Architect, or similar.
Strong technical knowledge of web and mobile development, including functional testing frameworks such as Selenium, Playwright, Appium, and Espresso.
Comfortable with networking concepts (certificates, proxies, encryption) and CI/CD pipelines.
Experience aligning technical stakeholders across Product, Engineering, and Sales teams to achieve customer outcomes.
Familiarity with accessibility standards and tools is a plus, though not required.
Comfortable creating technical content (e.g., demos, tutorials, internal KBs) and sharing knowledge both internally and externally.
Able to manage multiple high-priority accounts with a proactive, solutions-first approach.
Availability to work Monday through Friday

Requirements:
At least 6 years of experience in IT, including 3+ years focused on endpoint management, MDM, and automation in modern environments.
Hands-on experience with MDM platforms such as Jamf, Kandji, and Microsoft Endpoint bonus points for deep expertise in Kandji and Intune.
Deep understanding of macOS, Windows, and Linux configuration, compliance, and lifecycle best practices.
Proven experience providing Tier 3 support in a global, fast-paced environment, collaborating across time zones and teams.
Strong integration skills with identity platforms like Okta, Entra ID.
Scripting proficiency in Bash, PowerShell, or Python to automate workflows and drive efficiency at scale.
A proactive mindset and a strong sense of ownership. comfortable leading projects end-to-end and driving impact.

Requirements:
Qualifications:

12+ years of engineering experience, including 5+ years in senior leadership roles managing large-scale, distributed teams.

Proven ability to lead and scale engineering organizations (50+ engineers), ideally within cybersecurity, enterprise SaaS, or infrastructure.

Deep technical expertise across software development, architecture, cloud infrastructure (AWS, GCP, or Azure), and security.

Proven experience leveraging AI/ML, data analytics, and modern security architectures to drive product and platform innovation.

Strong track record of partnering closely with Product, Research, and cross-functional teams to deliver high-quality Enterprise solutions.

Fluent in both Hebrew and English, with experience operating in a multinational company environment.

Strong people leadership: youve built high-performing teams, developed engineering managers, and fostered inclusive, empowering team cultures.

Excellent communication, decision-making, and stakeholder management skills.

Demonstrated ability to thrive in a GM-style role, balancing technical leadership and operational oversight.

Comfort working with and answering to multiple senior stakeholders (CEO, CTO, SVP-level peers).

Desired Skills:

Established credibility and presence in the Israeli tech ecosystem, with the ability to represent us externally.

Familiarity with the cybersecurity market and ecosystem.

Hands-on with current AI productivity tools and a track record of AI tool proliferation.

Experience representing technical teams to investors, board members, or strategic partners.

Contributions to technical brand-building via public speaking, writing, or open-source projects.

Requirements:
What you bring
7+ years backend engineering, including 2+ years tech-leading or managing.
Deep experience in Node.js or Python (strong in the other).
Distributed systems/Kubernetes/cloud expertise; strong operational rigor.
Track record of scaling systems, improving reliability, and shipping fast.
Excellent communication, prioritization, and mentoring skills.
Nice to have
Large K8s clusters (hundreds of nodes), GPU scheduling, NVIDIA stack (CUDA, Triton).

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:
BSc Electrical/Electronic Engineering from a known institute
At least 10 years hands-on experience in HW design and manufacturing of electronic products
Proven experience in the full design cycle of a multi-disciplinary product including introduction to mass production
Experience with complex embedded designs, switches, 100/1000/10G eth, ddr, pcie gen 4, can bus, mipi etc
Hands on experience in PI/electrical simulations
Deep understanding of system level considerations
Customer facing experience
Project management skills, organized and independent, excellent interpersonal skills, team player
Experience with certification/standards design
Fluent in English (spoken and written)
Experience in Automotive HW design - significant advantage
Experience with EMC/Power design advantage.

Requirements:
Practical Engineering degree in Electronics or B.Sc. in Electrical Engineering (or equivalent).
2+ years of practical experience
Solid understanding of electronic systems and hardware fundamentals, including RF and analogue knowledge.
Ability to read and interpret schematics and technical datasheets and work on a board level.
Hands-on experience operating lab equipment (oscilloscopes, signal generators, power supplies, etc.).
Comfort with Linux environments and scripting for test automation or data collection.
Experience working in certification laboratories for EMC/EMI.
Preferred Skills:
Its an advantage if you have knowledge in:
System-level debugging and fault isolation skills.
Ability to work independently on complex hardware investigations.
Strong communication skills with a knack for clear technical documentation.