לוח משרות דרושים הייטק

Requirements:
Advanced degree (M.Sc. or Ph.D.) in Electrical Engineering, Physics, Applied Mathematics, Computer Science, or a related quantitative discipline.
5+ years of hands-on experience in developing and deploying machine learning, signal processing, or algorithmic solutions, with emphasis on raw or low-level data (e.g., sensor data, audio, video streams, or medical imaging).
Proven expertise in time-series analysis and handling large-scale, complex datasets from acquisition to production deployment.
Strong Python programming skills, with the ability to write clean, modular, and testable production-grade code.
Demonstrated experience deploying ML/DSP pipelines into production environments, ideally in high-availability systems.
Familiarity with ML/DL frameworks such as PyTorch, TensorFlow, scikit-learn, and gradient-boosting libraries (e.g., XGBoost, LightGBM).
Strong collaboration and communication skills, with the ability to work effectively across interdisciplinary teams including software engineers, physicists, and external stakeholders.

Requirements:
Qualifications:
B.Sc. or M.Sc. in Computer Science, Software and Computer Engineering, or equivalent.
You have working experience in Java (or equivalent).
Excellent teammate skills, effectiveness both in independent and collaborative work.
Ability to learn and use new technologies.
Ability to understand complex distributed systems and to know your way around them.

Preffered Qualifications:
Background in data security and cloud-based applications. 
Experience with databases (MongoDB, Cosmos DB, Redis, Azure Data Explorer preferred).
Experience with distributed computing platforms for high-scale systems and massive amounts of data (Kubernetes preferred).
Experience with continuous integration and deployment tools (ADO preferred).

Requirements:
Advanced degree (M.Sc. or higher) in a relevant field (Computer Science, EE, Physics, etc.).
5+ years of experience in the industry.
Experience with DL, ML, and numerical libraries like: PyTorch, Tensorflow, NumPy, Pandas.
Solid Python programming skills.
Proven track record in solving novel DL challenges.
Algorithmic and Deep learning design skills.
Ability to learn and adapt quickly.
Strong Data analysis and presentation skills.
Excellent communication and teamwork skills.

Requirements:
Required Qualifications:
Completed High/Secondary School, GED, an apprenticeship/vocational qualification, or equivalent experience and basic knowledge of computer hardware and components.

Background Check Requirements:
Ability to meet us, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
Our Cloud Background Check: This position will be required to pass the Cloud background check upon hire/transfer and every two years thereafter.

While not required, we also look for the following Preferred Qualifications:
1+ years' experience supporting IT equipment or related technology.
Applicable certifications: CompTIA (A+, Server+, Network+), Basic Structure Cabling (BSC).

Requirements:
Qualifications:
You have at least 10+ years of experience in the computer security industry, including adversary tradecraft, security operations, incident response, threat hunting, and emerging threats in modern cloud environments
You hare at least 4+ years of experience in researching, prototyping, and defining engineering requirements for threat protection systems
B.Sc. or M.Sc. in Computer Science, Software Engineering, or equivalent practical experience.
Strong problem-solving skills and ability to work in ambiguous situations.
Deep knowledge of the security threat landscape, attacker kill chain, and MITRE ATT&CK, especially in cloud, application, identity, and AI-related scenarios.
Experience leading projects from concept through design, coding, testing, and maintenance.

Preffered Qualifications / Other Requirements:
Proficiency in C#, Python, or Rust
Familiarity with public and hybrid cloud enterprise services
Team player with strong collaboration skills.

Requirements:
Qualifications:
Bachelors or Masters degree in Computer Science, Engineering, or a related technical field.
8+ years of professional software engineering experience, with a strong track record of delivering production-grade distributed systems.
Deep expertise in Kubernetes, including cluster architecture, workload orchestration, and security hardening e.g. RBAC, Workload Identity, Container Runtime Security.
Hands-on experience with containers (Docker) and container orchestration platforms (AKS, EKS, GKE).

Preferred:
Proficiency in one or more programming languages such as Go, C++, C, Python, or Java.
Experience building and operating cloud-native services on Azure or other public cloud platforms.
Strong understanding of site reliability engineering (SRE) principles, including observability, incident response, and automation.
Ability to work effectively with cross-functional teams and manage multiple priorities.

Requirements:
Qualifications:
You have 6+ years of experience in object-oriented software development using C++.
Hands-On experience in Windows kernel development, OS internals, and networking.
Experience with debugging skills and experience with multi-threading and asynchronous programming.
A collaborative mindset with the ability to work effectively both independently and as part of a team.
A self-driven and adaptable approach, with enthusiasm for learning and mastering new technologies.

Preferred Qualifications:
B.Sc./M.Sc. in Computer Science, Computer Engineering, or equivalent training.
Proven strong coding skills in any object-oriented programming language, domain-specific languages, and/or functional languages.
Familiarity with additional programming languages and frameworks is a plus.

Requirements:
Required Qualifications:
3+ years of experience in large-scale product development and maintenance of production systems.
professional experience developing in C or C++

Other Requirements:
Ability to meet us, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: 
Our Cloud Background Check: This position will be required to pass the Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:
Bachelor's Degree in Computer Science.
OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript,
OR Python
OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
1+ years experience with operating systems internals
Familiarity with scrum tracking tools such as JIRA or Azure DevOps.
Understanding TCP/IP and other networking concepts.
Experience in one or more of the following: Linux and Windows networking stacks and other OS components; Reliable, high availability software development; Host network offloads; RDMA, SR-IOV; Virtualization (hypervisors, virtual machine switching); TCP/IP; Switching and routing protocols; Network hardware - NICs, switches, routers; Load balancing; Network virtualization (NVGRE, VXLAN); QoS and scheduling; Networking at scale, deployment and servicing at scale; Cloud networking architectures; Performance optimization of low-level code.

Requirements:
3-5 years of experience as a DevOps Engineer.
Hands-on experience with Kubernetes (minimum 2 years), including k8s components, pods, services, ingress, logs, troubleshooting, and YAML files.
Strong scripting abilities in Bash, Python, PowerShell and Node.js.
Experience with Azure api gateway functions and cdn.
Experience with Azure Entra, subscriptions, resource groups managed groups tenants.
Experience with Azure security and networking - sentinel, vpn.
Serverless architecture experience in both AWS and Azure.
Experience with migrating from AWS to Azure, including transferring AWS Lambda functions to Azure Functions.
Familiarity with A10/A100 Azure VMs and handling Azure-based depl

Requirements:
Qualifications:
You have 3+ years of professional software development experience, primarily working with C/C++/Rust or any statically typed language.
You have developed applications and services in edge device environments and/or have knowledge in OS.

Preferred Qualifications:
You have knowledge of networking and security protocols.
You can take initiative, mapping product/feature requirements, dependencies, and deliverables.
You are autonomous and capable of navigating in an ambiguous environment.
You have a B.Sc. or M.Sc. in computer science, software engineering, or equivalent education.
You have experience in the cybersecurity domain (offensive security is a bonus).
You have experience working with cloud services (Microsoft Azure is a bonus).
You have proven experience in driving, designing, and implementing end-to-end software systems.
You have knowledge of monitoring, managing and provisioning applications in Windows environments.
You have experience in product execution from inception to production.
You have working proficiency with .NET and/or Rust.

Requirements:
Minimum of 3 years of experience in DevOps - Required
Experience working in an On Premises environment
Experience working with Docker, Kubernetes
Experience working with OpenShift, SonarQube
Experience in implementing Micro Services in Azure DevOps CI/CD processes
Experience with Linux and bash

Requirements:
Bachelor's degree in Computer Science or related field.

Experience as a Tech lead- an advantage.

Strong knowledge of Git, Terraform, Kubernetes, and AWS.

Hands-on experience with CI/CD tools like Argo and GitHub Actions.

Excellent communication skills and ability to work in cross-functional teams.

Requirements:
At least 3 years experience as DevOps Engineer\SRE Engineer\Platform Engineer
BS degree in computer science, computer engineering, relevant technical discipline or equivalent practical experience
A minimum of 3 years of exposure running production workloads (AWS, Azure or GCP)
Microservices architecture & container orchestration (Docker and Kubernetes)
Experience with Configuration Managements tools (e.g. Chef, Ansible or Puppet)
Experience with IaaC tools (e.g. Terraform)
Experience with GitOps (e.g. ArgoCD or Flux)
Proven Scripting capabilities: PowerShell/Bash/Python
Background in Linux administration in a large-scale environment
Strong troubleshooting skills
Experience in a high-volume or critical production service environments
Experience with monitoring and logging solutions (e.g. Prometheus, Grafana and ELK(
Proactive by nature; internal drive for excellence and improvement

Requirements:
At least two years of experience in planning architecture for complex and systemic projects in the field of computing, storage, network and information security in an Enterprise environment
At least two years of experience in the field of establishing cloud infrastructures in AWS/GCP/AZURE - mandatory
Experience in developing automation processes and scripts based on Infrastructure As A Code (for example: Terraform) - an advantage
Two years of experience in hands-on positions in the fields of information security and cyber protection in the cloud - a plus
Familiarity with K8S - an advantage
Familiarity with DevOps tools such as: AzureDevOps, GIT, ART factory, etc. - an advantage
Professional certifications, CISSP, CCSP, CCSK, security architect certification of the various cloud providers - an advantage
Technological degree / military experience - an advantage
Workplace: Central area (access to the train)

Requirements:
Bachelor's degree in computer science a must
At least 3 years of experience in software development a must
Experience in C++ 11 development (and above) a must
Development experience in a cross platform environment and familiarity with Linux a must
Development experience in the C# (.Net) environment
Experience in large projects and knowledge of software and system architecture
Experience working with SQL databases
Familiarity with GUI environments (WinForms, WPF, WEB)
Knowledge of Micro-Services architecture (familiarity with REST API, RabbitMQ, Docker, Kubernetes)