דרושים » מחשבים ורשתות » Storage And Backup Specialist

We are seeking a Senior Engineer for our Labs (on premise) Team member, working with a team of engineers, who manage our physical labs. You'll support the infrastructure for our servers, both HW and SW wise. This role offers an exciting opportunity to take a significant part of ensuring optimal testing environments for our enterprise-grade storage solutions.
Requirements:
- Hands-on work in a data center environment: racking, cabling, replacing hardware components, and troubleshooting server failures
- Design and implement infrastructure to allocate, configure and troubleshoot servers
- Daily operational support for servers, switches, and lab infrastructure
- Building and maintaining Linux images for servers and lab environments
- Working with a mix of modern and legacy systems in a lab environment
- Supporting VMware-based infrastructure and virtualization environments
- Work with multiple teams on gathering requirements and coordinating changes
- Define and implement infrastructure monitoring strategies using modern observability tools
- Drive infrastructure modernization initiatives and best practices adoption
- Establish and maintain documentation for lab processes, infrastructure, and operational procedures
- Perform capacity planning and resource allocation for lab environments
- Working closely with procurement, vendors, and external technicians
- Participating in on-call rotation (small team, occasional incidents)
Occasional travel to the US (1-2 times a year).

we are looking for a Python Expert to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

Were looking for a highly effective and experienced Backend Python Engineer with deep Python expertise to design and deliver scalable, resilient systems as part of a highly successful and collaborative engineering team.


In this role, you will work on highly innovative, next-generation security technologies within our Human Risk Management (HRM) product group. Human Risk Management is a comprehensive approach to cybersecurity that focuses on understanding, measuring, and mitigating risks associated with human behaviour across an organization.


You will contribute in technical design and code quality, and will be responsible for designing and building a new, large-scale analytics database from the ground up, forming a core foundation of our risk scoring and HRM capabilities. This is a hands-on role with meaningful ownership across the full software development lifecycle.


Your day-to-day:

Lead the design and development of core backend components of a large-scale SaaS platform using Python.

Design, build, and maintain RESTful APIs and highly available management services.

Design and implement scalable distributed systems and intelligent network data-path processing.

Design, build, and evolve a new large-scale analytics database from the ground up, responsible for ingesting high-volume security signals and calculating human risk scores at scale.

Champion engineering best practices, system reliability, and maintainable code.

Contribute to in-depth code reviews, architectural guidance, and mentoring of other engineers.

We're looking for a Senior Data Infrastructure Engineer to help us build the data foundation that powers everything does. You'll be joining the Data Platform team in TLV, working on the infrastructure that ingests, processes, and governs data across a growing stack of products, customers, and microservices - structured and unstructured, streaming and batch. The work you do here sits at the core of how every team makes decisions.
We believe three things matter for every role : drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role youll:
Design and implement data solutions for all application requirements in a distributed microservices environment
Build ingestion layers and a data lake using streaming ETLs and Change Data Capture
Implement large-scale batch and streaming pipelines with modern data processing frameworks
Build pipelines and scheduling infrastructures that other teams rely on every day
Ensure data quality, compliance, and governance across entire data platform
Help shape data-mesh concepts that empower other teams to leverage data independently
Partner with Data Engineers, ML Engineers, Data Scientists, BI Engineers, and Product Managers to move fast and build right

Join us to build cutting-edge systems, collaborate with world-class engineers, and shape how autonomous software is built in production.
We are looking for an AI Engineer to join the hunt.
Responsibilities:
Take part in the design and development of AI-driven features for our Dev-Native Observability Platform.
Collaborate with cross-functional teams to integrate AI solutions into existing systems.
Contribute to the product roadmap by identifying AI opportunities and providing insights as a potential end user
Stay updated with the latest AI trends and technologies to ensure our platform remains cutting-edge.

Were looking for people who are passionate about solving problems, dont shy away from leading features and projects, and are sharp and creative enough to find outside-the-box solutions to our wide range of product initiatives



What you'll do:

Design & Scale Core Pipelines: Architect, implement, and deploy our complex, highly-scalable data processing pipeline focused on analyzing massive amounts of data.
Tackle Diverse Data Challenges: Work hands-on with vast construction data-ranging from scheduling and BIM to video processing and 3D model analysis. Architect and integrate various Computer Vision and data processing algorithms into a robust, cloud-based production environment to generate unique insights.
Ensure Performance: Maintain a relentless focus on performance, reliability, and scalability as you process data from real-world construction sites globally.
Tech Stack Focus: Develop primarily using Python in a modern cloud infrastructure (AWS preferred).
Advanced AI Integration: "Skilled in pushing AI tools to the next level- moving from simple chat interfaces to building autonomous scripts, agents, or custom workflows that optimize system performance and reliability.
Ownership from 0 to 1: You will have real influence over our architecture and tooling. We want engineers who care about shaping what we build and how we build it, ensuring performance and observability are baked in from day one

we are seeking a Senior Engineer for Cloud Security Product Group.

Were extending mission of stopping breaches into the public cloud and cloud-native workloads. product offering will give customers the ability to monitor and track their cloud-native workloads as well as hardening and protecting them against attacks prior to deployment. This offering will help with defending against potential adversary activities involving cloud-native resources. When coupled with Falcon, endpoint security offering, our CSPG offering will provide a more comprehensive perspective on how the adversary is targeting key customer infrastructure. Our ultimate goal is to provide a single platform for securing the entire lifecycle of cloud workloads and cloud security posture.

What You'll Do:

Lead backend engineering efforts from rapid prototypes to large-scale applications across products

Leverage and build cloud-based systems to detect targeted attacks and automate cyber threat intelligence production at a global scale

Brainstorm, define and build collaboratively with members across multiple teams

Work in a startup-like environment with a small fast-moving team

Be mentored and mentor other developers on backend, and data storage technologies and our system

Constantly re-evaluate our product to improve architecture, knowledge models, user experience, performance and stability

Be given the autonomy to own your work in a high trust environment

we are looking for a C++ Developer.
As part of your role, you will design the architecture, develop, and deploy a new consumer-facing product from the ground up. This role uniquely blends deep low-level R&D with the challenges of performance optimization at a large-scale. This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, data-oriented environment. If you are experienced but still hungry to learn and impact - wed love to have you on our team!
Design, build, and maintain the core modules of a cutting-edge consumer-facing product, poised to compete at the highest level with the worlds leading tech companies.
End to end research and development of complex low-level features as part of a large scale project built by a small team.
Plunge into a world of data, analytics, and ML.
Work closely with data scientists and developers to understand the business from top-to-bottom.
Technological superiority is what gives us our edge so youll work and be up to date with the latest tech and trends.

our company is a leading hybrid cloud security company revolutionizing the way organizations manage cyber risk. We provide cutting-edge exposure management solutions by simulating real-world attack paths across cloud and on-prem environments. Our technology identifies misconfigurations, vulnerabilities, and identity exposures, allowing organizations to remediate risks with minimal effort.
We are looking for a motivated SRE Intern to join our Site Reliability Engineering team in a part-time capacity. This is an exciting opportunity to gain hands-on experience operating large-scale, multi-cloud production infrastructure that powers a real cybersecurity product. You'll work alongside experienced SREs on the systems and automation that keep our platform reliable, observable, and secure. Responsibilities: Help build and maintain automation and tooling that improve the reliability and operability of our production environments Work with Kubernetes and multi-cloud infrastructure (AWS / GCP / others) under the guidance of senior engineers Contribute to our observability stack - dashboards, alerts, and monitoring - to help us detect and understand issues faster Write scripts and small services ( Python / Go / NodeJS) to automate operational tasks and reduce manual work Participate in investigating and resolving production issues, learning real-world incident response and troubleshooting Collaborate with developers and SREs across the team to ship and operate changes safely