לוח משרות דרושים

Requirements:
7+ years of full-cycle recruiting experience, with at least 3+ years in engineering or technical recruiting.
Demonstrated success managing 10+ concurrent technical requisitions end-to-end.
Strong stakeholder management experience with technical and leadership teams.
Experience using recruiting tools (e.g., Lever, LinkedIn Recruiter, sourcing platforms).
Solid understanding of technical talent markets and emerging technologies in software engineering in Israel.
Proven ability to use data to drive hiring decisions and communicate outcomes.
Strong communication, negotiation, and relationship-building skills.
Commitment to inclusive hiring and maintaining a high-quality candidate experience.

Requirements:
4-5 years of experience as a Backend Developer / Technical Product Owner or technical-related field
Hands-on experience with with at least one major cloud platform (e.g. AWS, GCP, Azure)
Solid understanding of modern AI tools and platforms designed for software development (e.g., GitHub Copilot, OpenAI APIs, CodeWhisperer, etc.) and ability to effectively utilize AI-powered tools to enhance productivity and development workflows
Solid background in working with third-party APIs and integrations
Proven experience writing design/requirement documents for engineering teams
Familiarity with scripting, debugging, or software development (Python - preferably)
Thorough understanding of software development lifecycle from conception to delivery
Excellent communication, organization, and influence skills
Ability to resolve conflicts and drive issues to resolution and escalate when necessary
Self-starter who enjoys problem-solving with little direct supervision - Ability to learn quickly and just in time.

Requirements:
BSc in Computer Science / Software Engineering.
3+ year's experience with C++.
Experience with compiler technologies such as LLVM/MLIR - advantage.
Experience in Python - advantage.
Knowledge in PyTorch - advantage.
Ability to work independently and quickly learn new technologies and systems.

Requirements:
* Experience as a project leader/manager (can also be military experience).
* Social skills, proactive and responsible.
* Work experience with sub-contractors and vendors.
* Technical orientation.
* BSC in Industrial Engineer or equivalent.

Requirements:
5+ years of experience in software development, with a strong backend background.
5+ years of experience as an Engineering Manager or Team Lead.
Proven experience managing engineering teams within a large, enterprise-level corporate environment.
Demonstrated success in driving stakeholder engagement, managing dependencies, and communicating a compelling technical vision.
Experience managing teams that build and maintain live, high-scale cloud production systems.
A strong interest and understanding of AI-driven developer tools, generative AI, or LLM systems.
An innovative, creative, and agile mindset with excellent problem-solving and leadership skills.
A deep passion for enhancing the developer experience.
An Advantage:
Experience in languages like Python, Golang, TypeScript, or .NET.
Experience with developing systems using LLM integration.
Experience with developing IDE plugins.
Experience in cloud or code security.
Bachelor's degree or equivalent military experience.

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:
B.Sc. in Computer Science or a related engineering field
5+ years of experience in development or design of complex systems
Knowledge in C++ - Must
Experience in development in multiple fields - Advantage
Experience in analyzing and managing complex systems
At least 3 years of experience in system engineering - Advantage
Excellent problem-solving, organizational, and analytical skills, with proven ability to take initiative and build strong and productive relationships
Excellent communication and management skills
Fluent English and Hebrew
The position requires commuting to Jerusalem office twice a week.

Requirements:
What you have:
5+ years of development experience with a passion for excellence.
Experience in data engineering with a focus on Apache Spark.
Experience in server-side engineering.
Experience in programming languages such as Node.js, Scala, Go.
B.Sc. in computer science or an equivalent.
Excellent collaboration and teamwork skills.
A proactive, problem-solving mindset with a passion for learning and tackling new challenges.

Bonus points:
Experience with data orchestration tools like Airflow.
Familiarity with AWS services such as SQS, EMR, RDS, S3.
Recommended by our employee.

Requirements:
PhD in Computer Science or a related discipline (exceptional MSc candidates will be considered).
4+ years of hands-on experience developing deep learning algorithms in Python.
Experience building end-to-end DL pipelines: data preparation, training, evaluation, and deployment.
Proficiency in at least one deep learning framework (e.g., TensorFlow, PyTorch).
Excellent problem-solving skills and a research-oriented mindset.
Advantages:
Industry experience in DL or software development.
Familiarity with hardware-aware model optimization.
Experience with cloud platforms (e.g., AWS), Docker, and Linux environments.
Publications or contributions in the fields of deep learning, neural architecture search, knowledge distillation or multi-task learning.

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 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:
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:
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:
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.