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We are shaping the future of autonomous driving, a mission that requires infrastructure operating at an unprecedented scale. We are seeking a Senior DevOps Engineer to join the team building and scaling our state-of-the-art Data Platform.
The autonomous vehicle lifecycle generates massive amounts of data, and your challenge will be to engineer the hybrid infrastructure (AWS and on-premises) that makes this data seamlessly accessible to DL/ML developers, validation engineers and analysts. You will leverage a top-notch tech stack - including Kubernetes, big data frameworks, and robust observability tools-to solve complex reliability and scalability challenges head-on.
What will your job look like?
Directly influence our platform's scalability to support growth and R&D efficiency across both cloud and on-premises environments.
Own infrastructure projects from research and architectural design to implementation and rollout.
Lead infrastructure improvements around high availability, resiliency, performance, and FinOps/cost efficiency.
Develop shared templates, libraries, and standards as infrastructure to empower developers and streamline CI/CD delivery.
Evaluate and implement new technologies that upgrade our hybrid infrastructure posture and observability.
Serve as a technical expert in infrastructure decisions, taking ownership, sharing knowledge, and driving engineering excellence across the team.

We are seeking a highly skilled and experienced Senior Microsoft Sysadmin to join our IT team. The ideal candidate will be responsible for managing and supporting our Active Directory and Office 365 environments, ensuring optimal performance, availability, and security. This role requires in-depth knowledge of Entra ID, SharePoint, OneDrive Exchange online and Teams technologies and the ability to lead complex infrastructure projects.
The position requires on-site presence 4 days per week (and 1 from home): 2 days at our Jerusalem site and 2 days at one of our other locations in Ramat Gan, Tel Aviv, or Petach Tikva.
What will your job look like:
Manage and support Microsoft Active Directory in sync with Entra ID
Manage and support Office365 environment with focus on SharePoint online and Teams
Implement and monitor applications and users authentication (AD, Entra ID)
Manage Users, Group and Computer objects and create Group Policy
Troubleshoot Windows Server Performance issues
Setup Entra ID single sign on (SSO), Enterprise applications and conditional access rules
Support and integrate applications running on Windows platform
Implement security fixes and enchantment across multiple environments
Provide second level support for operations issues in Microsoft environment.

IT Specialist - MENTEE
We bring world-class robotics expertise, together with decades of leadership in computer vision, machine learning, and autonomous driving technologies. Building on that foundation, We are creating the "MenteeBot", the AI-first humanoid robot that combines perception, reasoning, learning, and advanced dexterous manipulation, designed to work alongside people in their everyday lives, at the workplace and in the home.
Our technologies power more than 230 million vehicles worldwide and have helped shape the future of autonomous mobility. With teams around the world, we continue to innovate at the forefront of autonomous systems, advancing the next generation of Physical AI for real life.
What will your job look like:
Operate and maintain multi-node GPU compute and training clusters (SLURM), including scheduling policy, quotas, and job troubleshooting.
Manage the NVIDIA GPU software stack across mixed generations, plus the high-speed interconnect fabric.
Own storage infrastructure: parallel and network filesystems.
IT site owner, POC.
Administer enterprise networking: firewall policy, VPN, SD-WAN, and site connectivity.
Run identity and directory services, and the SaaS SSO integrations that depend on them.
Provision and manage a mixed endpoint fleet across Linux, Windows, and macOS.
Handle server-room operations: power, cooling, UPS, and capacity planning.

Modality Cloud AWS Engineer Cloud Infrastructure & Operations — Hands-On Role About Us Modality , part of the We-Ankor group , is a leading provider of AWS cloud solutions, dedicated to helping businesses transform and thrive in the digital age. About the Job We are looking for a hands-on, senior AWS engineer to own the day-to-day operation and delivery of customer cloud environments. This is an execution-first, individual-contributor role — you will be the one fixing things, building things, and keeping production running. The role includes on-call rotation for production incidents Key Responsibilities • Handle customer tickets: AWS administration, Linux/Windows servers, networking, storage, and security • Monitor, troubleshoot, and optimize production environments end-to-end • Implement cloud infrastructure projects independently, from design to handover • Write scripts and IaC to automate operational tasks • Participate in on-call rotation for urgent production incidents • Document procedures and runbooks; grow into a technical leadership role over time

Company Overview: Our mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Our AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on our digital forensic and investigative solutions-available via cloud, on-premises and hybrid deployments-to close cases faster and safeguard communities.?To learn more, visit us in our website.

Position Overview: As a Senior Software Developer in Cellebrite Labs, your daily mission involves designing and developing advanced capabilities to extract digital evidence from modern Android and IOS devices. You will tackle some of the toughest security protections such as PAC, Secure Elements, Code Signing, Hypervisors, and more. Working in the heart of the Digital Intelligence Labs group, you will contribute to productizing world-unique capabilities that enable law enforcement and private sector customers to conduct legally sanctioned forensic investigations effectively and securely. This role requires a combination of deep technical knowledge, creativity, and persistence to solve complex problems while collaborating closely with top researchers and engineers. Your work will have a direct impact on investigations that save lives and uphold justice globally.


Key Responsibilities:
* Lead and contribute to the development of new extraction technologies for Android and IOS platforms.
* Analyze and reverse-engineer low-level OS internals and security mechanisms.
* Develop robust system -level software in C, C ++, and Python.
* Collaborate with cross-functional teams to design, TEST, and integrate new capabilities into our Digital Intelligence platform.
* Stay current with emerging mobile security technologies and forensic challenges.
* Share knowledge and best practices within the team to elevate overall engineering quality.

Office Location:
Tel Aviv

We are seeking an MLOps Engineer to help us grow our technical team's capabilities. The ideal candidate has relevant experience in data engineering, preferably within the AI field. Aviation industry experience would be a great addition.

You will be responsible for building and maintaining models and data pipelines that power our data science workflows. You'll play a crucial role in ensuring the accuracy, consistency, and efficiency of the data we use for model training and inference. This involves working with both structured and unstructured data from various sources, leveraging your expertise in data engineering and machine learning to create a robust and scalable system.

Self-service enablement: Build secure, automated pathways that accelerate development while keeping organizational standards intact.
Architectural modularization: Design Kubernetes-native abstractions - controllers and operators - and decouple infrastructure into independent service lifecycles that support rapid iteration.
Everything as code: Treat infrastructure, policy, and configuration with the same SDLC as application software - versioned, reviewed, tested, and CI-gated.
Proactive reliability: Own production through robust observability, clear SLOs, and high operational hygiene; define alerting that fires correctly and lead blameless postmortems that fix the system.

We are looking for an MLOps Team Leadto drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example.

You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform.

WHAT YOU WILL DO

- Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality.

- Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production.

- Stay hands-on: contribute to design and code, review work, and set engineering standards.

- Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership.

- Partner with R&D and other stakeholders to translate research needs into robust, scalable systems.

- Help evolve the platform, including our ongoing migration from Dask to Ray.

Self-service enablement: Build secure, automated pathways that accelerate development while keeping organizational standards intact.
Architectural modularization: Design Kubernetes-native abstractions - controllers and operators - and decouple infrastructure into independent service lifecycles that support rapid iteration.
Everything as code: Treat infrastructure, policy, and configuration with the same SDLC as application software - versioned, reviewed, tested, and CI-gated.
Proactive reliability: Own production through robust observability, clear SLOs, and high operational hygiene; define alerting that fires correctly and lead blameless postmortems that fix the system.

As a Senior DevOps Engineer , youll play a critical role in scaling and evolving our infrastructure as we grow. Youll work alongside experienced engineers to drive automation, optimize cloud operations, and ensure our systems are secure, resilient, and high-performing. This role is perfect for a hands-on engineer who thrives in fast-paced environments and wants to shape infrastructure practices at a product-focused security startup.



What Youll Do

Own and Evolve Infrastructure: Design, deploy, and operate infrastructure on AWS using Kubernetes to orchestrate containerized services.
Build Tools and Automate Everything: Streamline internal workflows with smart tooling, configuration management, and monitoring systems.
Lead CI/CD Improvements: Define and refine deployment pipelines to support rapid, reliable releases and cross-team agility.
Strengthen Edge Security: Manage WAFs, gateways, and load balancers to balance strong protection with great user experience.
Drive Reliability: Lead incident detection, troubleshooting, and automated recovery-improving uptime and system robustness continuously.