חיפוש עבודה

" 5+ years of experience in DevOps roles
" Strong experience with AWS serverless technologies (Lambda, Step Functions)
" Expertise in Kubernetes administration and deployment strategies
" Experience with data warehouse technologies (Redshift, Athena, PostgreSQL, S3)
" Proficiency with Infrastructure as Code using Terraform
" Strong scripting abilities in Bash and Linux system administration
" Experience implementing and maintaining CI/CD pipelines (Jenkins, ArgoCD)
" Demonstrated experience with monitoring solutions (Prometheus, Grafana)
" Knowledge of cloud security best practices and compliance requirements

Ideal Candidates Will Also Have
" Experience with AWS CDK or CloudFormation
" Familiarity with Python or other programming languages
" Experience with event-driven architectures
" Exposure to machine learning infrastructure
" Experience with blue/green deployment strategies
" Contributions to open-source projects

Proven record of AI/ML solution development and integration in real-life systems – must.
3+ years of experience in ML and proficiency in DNN.
Strong background as an ML researcher with experience delivering production-level solutions.
Experience working with complex systems.
Knowledge of cellular networks – big advantage.
Experience in real-time systems – advantage.
Proficient in data science methodologies.
Hands-on experience with state-of-the-art ML and DNN technologies.
Experience in communication and/or signal processing – advantage.
Experience in code optimization for general-purpose CPUs and their architecture extensions – advantage.
Experience with Matlab – advantage.
Systematic problem-solving approach, coupled with a sense of ownership and drive.
Ability to effectively communicate and collaborate in a fast-paced team environment.
Excellent communication skills in both Hebrew and English.
Education:
M.Sc. in Electrical Engineering, Computer Science, or Software Engineering.
Outstanding B.Sc. graduates in these fields may also be considered.

Bachelor’s degree in Computer Science or a related field.
Deep knowledge in state-of-the-art modern cloud development, including HUB and spoke with multi Kubernetes, API Management, Azure-IoT, Digital Twin.
Knowledge in Azure – an advantage.
Experience in leading several teams, of software developers in Agile SCRUM teams.
Experience in developing big data solutions, specific experience in privacy aspects.
Knowledge of C# / Python programming languages, C++ is advantage

Lead a team of 4-6 engineers, both backend and frontend, in an Agile environment
Participate in the entire application lifecycle, from design to production
Work closely with the teams product manager
Collaborate with other teams in curtain features or capabilities
Conduct design and code reviews, Mentor and be a focal point for the team
Be aligned with the team technical Needs and capabilities
Gather and address technical and design requirements
Desired Skills & Experience
At least 2 years as team leader of R&D team.
At least 3 years of proven experience as a software engineer, 2 out of them hands-on in Python.
Working with a multi-threaded environment and on large-scale systems
Working with AWS, Docker, and microservices - Advantages
Teamwork skills with a problem-solving attitude
Strong troubleshooting skills
Ability to solve a complex problem in a timely manner
Soft Skills
Great interpersonal skills
Fast technology adaptation
Independently driven, proactive, accountable, reliable, team player

Lead a team of 4-6 engineers, both backend and frontend, in an Agile environment
Participate in the entire application lifecycle, from design to production
Work closely with the teams product manager
Collaborate with other teams in curtain features or capabilities
Conduct design and code reviews, Mentor and be a focal point for the team
Be aligned with the team technical Needs and capabilities
Gather and address technical and design requirements
Desired Skills & Experience
At least 2 years as team leader of R&D team.
At least 3 years of proven experience as a software engineer, 2 out of them hands-on in Python.
Working with a multi-threaded environment and on large-scale systems
Working with AWS, Docker, and microservices - Advantages
Teamwork skills with a problem-solving attitude
Strong troubleshooting skills
Ability to solve a complex problem in a timely manner
Soft Skills
Great interpersonal skills
Fast technology adaptation
Independently driven, proactive, accountable, reliable, team player

Lead a team of 4-6 engineers, both backend and frontend, in an Agile environment
Participate in the entire application lifecycle, from design to production
Work closely with the teams product manager
Collaborate with other teams in curtain features or capabilities
Conduct design and code reviews, Mentor and be a focal point for the team
Be aligned with the team technical Needs and capabilities
Gather and address technical and design requirements
Desired Skills & Experience
At least 2 years as team leader of R&D team.
At least 3 years of proven experience as a software engineer, 2 out of them hands-on in Python.
Working with a multi-threaded environment and on large-scale systems
Working with AWS, Docker, and microservices - Advantages
Teamwork skills with a problem-solving attitude
Strong troubleshooting skills
Ability to solve a complex problem in a timely manner
Soft Skills
Great interpersonal skills
Fast technology adaptation
Independently driven, proactive, accountable, reliable, team player

Experience in complex communication or multidisciplinary systems, including testing and troubleshooting.
Strong understanding of RF, RSRP, SNR, dB, and dBm concepts.
Hands-on experience with Unix/Linux operating systems and networking (e.g., TCP/IP, routing, network topologies).
Proficiency in Python, pytest, and shell scripting for automation.
Experience in operating, analyzing, and troubleshooting large-scale distributed systems.
A systematic problem-solving approach, with a strong sense of ownership and drive.
Ability to effectively communicate in a fast-paced, team-oriented environment.
Fluent in Hebrew and English.
Education:
B.Sc. or M.Sc. in Electrical Engineering, Computer Science, or a related field, with a focus on wireless communication.
Nice to Have:
Hands-on experience with CI/CD and automation tools.
Experience with Kubernetes (K8s) and cloud-native deployments.
Knowledge of cellular networks (4G/5G) is a significant advantage.

7+ years of experience in Automation infrastructure and at least 3+ of them as a team manager
Experience in operating, analyzing and troubleshooting large-scale distributed systems
Experience with Unix/Linux operating systems and networking (e.g., TCP/IP, routing, network topologies) – must
Experience in one or more of the following: Python, pytest and shell scripting – must
Systematic problem-solving approach, coupled with a sense of ownership and drive
Effectively communicates in a dynamic and fast-paced team
Excellent familiarity with automation solutions and tools
Experience with building automation frameworks and infrastructure
Strong knowledge of software QA methodologies, tools and processes
Highly proactive - introducing new tools and technologies.
Experience in CICD/Automation - big advantage
Experience in operating K8s-based and cloud-native deployments – big advantage
Knowledge in cellular networks – big advantage
Education:
BS/MS degree in Computer Science or Engineering

5 years experience in C/C++ development of embedded/real-time components of a multi-threaded system.
Strong foundation in troubleshooting and debugging.
Good understanding of communication protocols. Ability to translate L2/L3 standards and specifications towards efficient implementation.
Hands-on experience with SW development methodologies: Design documentation, implementation, unit testing.
Linux user application development experience.
Working experience with Unix/Linux operating systems internals and administration and networking (e.g., TCP/IP, routing, network typologies)
Strong communication skills.
Ability to work independently and as a part of a team in a global multi-site organization.

Advantage:
Experience with 4G cellular protocols, especially MAC layer
Education:
B.Sc in Computer Science / Computer Engineering or top IDF software development unit

8+ years of relevant professional experience.
Solid understanding of Python language.
Experience working with automation frameworks such as Robot, Pytest, etc.
Know how to write simple scripts (python, shell or similar).
Strong verbal and written English skills.
Self-learner and ability to learn new technologies and methodologies in a relatively short time.
Hands-on experience with Linux.
Basic knowledge in networking.
Familiar with Docker and Kubernetes concepts.
Excellent communication and interpersonal skills.
Nice to have:
Knowledge with Jenkins, Groovy
Prior work in a lab environment
Telecommunication experience
Education:
Bachelor degree in Electrical/Electronic/Communications/Computer Science Engineering

At least 6 years of experience in wireless communication/ PHY layer development.
Good understanding of RX and TX PHY and RF chains.
Deep understanding of Wireless communication system.
Solid knowledge in the physical layer specifications of 4G – Advantage.
Working experience with RF lab test equipment.
Good system level understanding within a multi-disciplinary environment (HW, SW, RF)
Excellent communication skills (written and verbal), team worker and ability to thrive in a global multi-site environment.
Accountable, leader and ability to motivate people/teams

BSc in Computer Science, Computer Engineering, or Electrical Engineering

5+ years of experience in firmware or embedded software development

Strong understanding of systems architecture and systems usage cases

Proven experience working directly with customers and partners across regions

Ability to understand customers requirements and explain complex technical features

Strong problem-solving abilities

Excellent written and verbal communication skills in English

Comfortable working in a constantly evolving environment; Confirmed ability to work independently under high pressure and dynamic environment.

Requirements:
At least 3 years of proven experience in data science or machine learning, with a proven track record of delivering production-grade ML solutions.
Proficiency in Python and commonly used libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
Strong knowledge of SQL and experience with querying large datasets.
Familiarity with data pipelines, ETL processes, and data QA.
Strong analytical skills with the ability to translate complex data challenges into actionable solutions.
Deep understanding of ML algorithms and techniques.
Experience in feature engineering, model evaluation, and hyperparameter tuning.
Team player, problem-solver, responsible, delivery-oriented.
Bachelors degree in Computer Science, Statistics, Applied Mathematics, or a related field.

" BSc/BA in Computer Science or similar.
" At least 5 years proven experience as a Big Data Engineer.
" At least 3 years of experience with Python.
" Experience with both SQL and NoSQL databases, including Elastic Search, Splunk, MongoDB.
" Experience with processing of large data sets.
" Experience with Linux environment.
" Experience with software design and development in a test-driven environment.

Advantages:
" Experience with AirFlow.
" Experience with Nifi.
" Previous experience in the cybersecurity industry or in elite technology units in IDF.
" Experience with OpenShift, S3, AWS, Docker, Kubernetes, Java and TypeScript.
" Experience working with CI/CD software (Jenkins, GitLab).

Proficiency in C++ and object-oriented programming with 3+ years of experience.
Deep understanding of Windows internals, including desktop applications and kernel-mode driver development.
Experience with debugging and performance optimization for Windows-based applications.
Experience with the Qt Framework (advantage).
Knowledge of React (advantage).
Knowledge of .Net (advantage).
Familiarity with networking protocols (e.g., TCP/IP, UDP).
Strong understanding of TLS, SSL, and encryption concepts, including asymmetric and symmetric cryptography.
Familiarity with IKE and IPSEC protocols (advantage).
Awareness of cybersecurity principles and practices, particularly in secure communications.
Ability to troubleshoot and resolve complex technical challenges efficiently.
A strong drive to stay updated with industry trends and apply them to deliver innovative solutions.
Excellent communication and teamwork skills to contribute effectively in a dynamic team environment.

5+ years of experience in Machine Learning
2+ years of experience leading a team of ML researchers
Strong technical skills in ML, including deep learning (bonus: recommendation systems)
Excellent communication and interpersonal skills
Ability to work independently and as part of a team
Masters degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or a related field