לוח משרות דרושים

Requirements:
5+ years in ML roles with demonstrated production impact
Advanced degree (MS/PhD) in a quantitative field, or equivalent industry depth
Deep expertise in mathematical optimization - convex, constrained, and gradient-based methods
Hands-on experience with Bayesian or hyperparameter optimization
Strong causal inference skills - propensity scoring, uplift modeling, or experimental design
Applied ML experience in optimization domains: pricing, bidding, or resource allocation
Advanced time series modeling for dynamic, decision-making systems
Proven experience deploying and monitoring real-time ML models in production
Familiarity with experiment tracking, model versioning, and performance monitoring

Requirements:
Experience: 5+ years of C&B experience in a fast-paced High-Tech environment (Software preferred).
Expertise: Deep knowledge of Israel and EMEA labor markets, compensation principles, and equity-related processes.
Analytical Power: Exceptional Excel skills and a passion for data-driven decision-making.
Mindset: An AI mindset- harnessing AI tools to enhance C&B practices- alongside a passion for process improvement.
Skills: Strong relationship-building abilities and excellent organizational skills to manage multiple priorities.
Languages: Fluent English (spoken and written).

Requirements:
5 years (minimum) of experience as a DevOps Engineer
Hands on experience with K8S (EKS preferred), Docker, Terraform, Helm, karpenter
Hands on experience with one of the major cloud providers, preferably AWS
Strong design and debugging skills
Strong Scripting skills (Python, PowerShell, etc..)
Experience in the implementation of CI/CD pipelines: Jenkins/GitHub Actions/ AzureDevops/ GitLabs or similar
A peoples person
Working with consumer high scale production environments - Advantage
IT background/software development experience/support center experience - Advantage

Requirements:
We are looking for a talented, "hands-on" QA Manager to join us, specializing in the areas of Storage, Clustering, Networking and System-integration.
Key Responsibilities
Lead a team responsible for Test Automation Development, design automation tests and pipelines integrating with SW tools from the ground up, interfacing to various systems and tests (Python-based).
Work closely with developers to create and maintain a state of the art system tests.
Define, develop and execute automated testing plans with deep system knowledge and understanding.
This position also requires hands-on work.
Desired Skills & Experience
At least 3 years experience as a team lead of 3+ engineers, 2+ years experience in development of product testing, automation tools.
Experience with Linux, Python, bash. - Must
Experience in analyzing large and diverse systems, understanding QA processes and procedures.
Demonstrated testing experience (Test Definition & Execution) in the following fields: Integration, Performance, Stress.
Background in developing test automation infrastructure and/or automating tests on a combination of Linux and Windows servers.
A deep understanding of Computer systems / Operating systems (Unix, Linux, Windows) - must
Knowledge of File Systems (NAS) / Block-level Storage/storage networking protocols- Big Advantage.
B.Sc./B.A. degree in computer science, engineering, or related discipline - an advantage
Advantage
Experience with virtualization, cloud, networking, or storage technologies
Experience with tools like Jenkins and Git.

Requirements:
4+ years of hands-on experience in the IT field.
Proven proficiency in IT infrastructure management and strategic planning.
Comfort supporting macOS and windows environments and device management solutions.
Broad knowledge of security frameworks and related legal and regulatory requirements.
Proficiency with security technologies and concepts such as firewalls, EDRs, SASE, Mail Relay, PKI, and Cloud computing.
Strong troubleshooting skills in the areas of networking and services.
Excellent vendor management skills, including evaluation, procurement, and implementation of security solutions.
Certifications in AZ-104, AZ-500 or equivalent cloud authority credential