Requirements:
Requirements:
Bachelors degree in Computer Science or related technical field.
4+ years of experience in Security Operations, Cloud Security, or similar roles.
Proven expertise with AWS / GCP and cloud security best practices.
Strong knowledge of networking (TCP/IP, DNS, VPN, routing, firewalls).
Hands-on Kubernetes security experience (RBAC, Network Policies, Secrets Management, hardening).
Deep understanding of Application Security (OWASP Top 10, API Security, secure coding).
Experience embedding security controls into CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI).
Proficiency in scripting (Python, Bash, or Go) and infrastructure automation (Terraform, Ansible).
Familiarity with compliance frameworks (ISO 27001, SOC 2, GDPR).
Strong communication skills and ability to collaborate across technical and non-technical stakeholders.

Bonus if you have:
Relevant certifications (OSCP, CISSP).
Experience with runtime security tools(UPwind, Aqua, Sysdig).
Experience with application security tools(OX, Snyk,Oligo).

Requirements:
Qualifications:
Bachelor's degree in Computer Science / equivalent experience.
3+ years of experience in DevOps/Software engineering working in one or more of the big public clouds: AWS / Azure / GCP.
3+ years of experience managing an infrastructure-as-code based cloud environment (AWS CDK/CloudFormation/Terraform).
Experience with micro services methodology.
Knowledge of AWS common best practices- design, implement, and maintain scalable and reliable cloud infrastructure solutions.
Hands-on scripting skills in Bash as well as Python or Typescript.
Experience with Git & CI-CD (preferably Github Actions & ArgoCD).
Knowledge of IP networking.
Experience maintaining infrastructure that requires high availability and security.
Strong written and verbal communication skills in English and Hebrew.

Advantage:
Experience with observability platforms (e.g. EFK/ELK, CloudWatch, Datadog, SumoLogic).
Experience with Kubernetes and HELM (preferably with EKS).
Experience with service mesh technologies such as Istio.

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:
* A Masters or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
* 5+ years of industry experience in developing and productizing computer vision and deep learning algorithms.
* 3+ years of experience working on major AI vision problems in detection, classification, and segmentation with a proven track record of successfully leading algorithm teams
* Hands-on research and industry experience with a proven track record
* Experience in managing different algorithm team members such as ML & CV developers
* Experience with Major Deep Learning Frameworks (such as PyTorch, TensorFlow, etc.).
* Experience in the fields of: Semi-supervised learning/ Unsupervised learning/ Active learning/ Reinforcement learning/ Radiance fields/ Tracking / Identification / Image Retrieval / Anomaly Detection / Pose Estimation / OCR - Advantage
Attributes:
* Comfortable in unexplored territory.
* Possess the skill to break down intricate problems into manageable parts, followed by proposing effective and actionable solutions.
* Maintain a steadfast focus on delivering not just insights but actionable results that have a measurable impact on the project or the organization
* Good communication skills with a can-do attitude.
* Agility and multitasking, Independent and self-motivated.
* Good time management, task prioritization skills, and accountability.
* Excellent English.
 
Why us: Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, Machine Learning, and computer vision to revolutionize vehicle inspections. Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale. Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.

Requirements:
Requirements:
Bachelor's degree in Computer Science, Software Engineering, or industry equivalent.
2+ years of experience in QA & Automation.
Proficiency in scripting languages (e.g., Python, Bash).
Experience with containerization technologies (e.g., Docker, Kubernetes).
Familiarity with CI/CD pipelines (e.g., GitLab CI/CD, Jenkins).
Experience with cloud platforms (e.g., AWS, GCP).
Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Bonus if you have:
Strong understanding of the machine learning lifecycle, from experimentation to deployment and monitoring.
Experience with specific MLOps platforms or tools.
Experience in a fast-paced startup environment.