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As part of the Data Infrastructure group, youll help build Lemonades data platform for our growing stack of products, customers, and microservices.

We ingest our data from our operational DBs, telematics devices, and more, working with several data types (both structured and unstructured). Our challenge is to provide building tools and infrastructure to empower other teams leveraging data-mesh concepts.

In this role youll:
Help build Lemonades data platform, designing and implementing data solutions for all application requirements in a distributed microservices environment

Build data-platform ingestion layers using streaming ETLs and Change Data Capture

Implement pipelines and scheduling infrastructures

Ensure compliance, data-quality monitoring, and data governance on data platform

Implement large-scale batch and streaming pipelines with data processing frameworks

Collaborate with other Data Engineers, Developers, BI Engineers, ML Engineers, Data Scientists, Analysts and Product managers

Share knowledge with other team members and promote engineering standards

Were looking for an experienced and passionate Staff Data Engineer to join our Data Platform group in TLV as a Tech Lead. As the Groups Tech Lead, youll shape and implement the technical vision and architecture while staying hands-on across three specialized teams: Data Engineering Infra, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of Lemonades data ecosystem.

The groups mission is to build a state-of-the-art Data Platform that drives Lemonade toward becoming the most precise and efficient insurance company on the planet. By embracing Data Mesh principles, we create tools that empower teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly access, analyze, and innovate with reliable, well-modeled, and queryable data, at scale.

In this role youll :
Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platforms three teams

Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insights

Drive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance

Develop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights

Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutions

Collaborate closely with other Staff Engineers across Lemonade to align on cross-organizational initiatives and technical strategies

Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions

Share knowledge, mentor team members, and champion engineering standards and technical excellence across the organization

Production Engineers (PEs) at our company are specialized software engineers who develop the underlying infrastructure for all of our company's products and services, forming the backbone of every major engineering effort that keeps our platforms running smoothly and scaling efficiently. PEs work across our companys product and infrastructure teams to ensure our services are reliable, performant, and capable of supporting billions of users. This means writing high‑quality code, solving complex problems in live production, and tackling challenges that impact over 2 billion people worldwide. Our PEs are embedded in teams across the spectrum from products like Instagram, WhatsApp, Oculus, and Videos to critical backend services such as Storage, Cache, and Networking. The team brings together diverse levels of experience and backgrounds. Working alongside some of the best engineers in the industry, youll contribute to code and systems that go into production and are used by millions every day. In Production Engineering at our company, we navigate uncharted waters daily solving problems at a scale few others face.
Production Engineer Responsibilities
Own the end-to-end reliability and scalability of the platforms, services, and products built on top of our companys underlying infrastructure and network
Write and review code, develop documentation and capacity plans, and debug the hardest problems, on some of the largest and most complex systems in the world
Together with your engineering team, you will share an on-call rotation and be an escalation contact for live service incidents
Partner alongside the best engineers in the industry on the coolest stuff around, the code and systems you work on will be in production and used by billions of users all around the world.

our company was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at our company offers countless ways to make an impact in a fast growing organization. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Code Generation (PhD) (Tel Aviv) Responsibilities
Develop novel state-of-the-art computer vision algorithms and corresponding systems, leveraging various deep learning techniques.
Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms. Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence.
Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio).
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Contribute to research that can be applied to our company product development.

Central Applied Science (CAS) is a research and development team, working to improve our companys products, infrastructure, and processes. We generate real-world impact through a combination of scientific rigor and methodological innovation. Our focus is on longer-term, foundational work that addresses new opportunities and challenges across the company family of apps. The work we do enhances the company family of apps that enable billions of people to communicate with each other daily. Central Applied Science is interdisciplinary, with expertise in computer science, statistics, machine learning, and economics among many other fields. This diversity of perspectives enriches our research and expands the scope and scale of projects we can address. We deliver value through collaborative projects with other groups at our company and with the academic community. In addition, we build and open-source technical products aligned with our areas of expertise. We are looking for research interns to join the Product Algorithms team in Central Applied Science. The team is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally increase the magnitude of our companys successes. The ideal candidate will have extensive graduate training in computer science, machine learning, or related disciplines, and the passion to solve real world hard scientific problems. By applying your expertise and passion you will be empowered to drive impact across a range of products, infrastructure and operational use cases at our company. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Central Applied Science (PhD) Responsibilities
Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.
Develop novel quantitative methods on top of our company's unparalleled data infrastructure.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Communicate best practices in quantitative analysis to partners.
Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value.

We are looking for an experienced and hands-on Backend Engineer to be a key player in building high-scale Data Platforms and Products for our business teams.

This role involves working with large datasets and scalable systems, and developing internal tools to enable data-driven decision-making across the company.

Key Responsibilities:

Develop internal tools for various teams.
Build and maintain microservices and APIs to support diverse workflows.
Operate in a real-time, event-driven environment.
Create and manage data pipelines.
Take ownership of multiple systems and products.
Develop and deploy machine learning pipelines to production in an event-driven architecture.
Work in a multi-cloud environment (Azure/GCP/AWS).
Integrate third-party tools with our platform.
Translate business requirements into technical specifications.

abra is recruiting an Enterprise Architect to join our Data & AI Division in Haifa. In this role, you will lead enterprise-wide architecture initiatives, shape technology direction, and drive the adoption of innovative solutions across the organization. Role Overview
* Lead product and technology evaluations: gather requirements, analyze alternatives, and present recommendations to senior leadership.
* Own the architectural aspects of large-scale enterprise projects from design to implementation.
* Introduce, validate (POC), and implement innovative technology solutions across functionality, data, security, integration, and infrastructure.
* Collaborate with cross-department teams to build end-to-end enterprise solutions.
* Deliver knowledge transfer and guidance to development, infrastructure, and analytics teams.

We are looking for a skilled and proactive Database Administrator to join our dynamic team. As a Database Administrator, you will be responsible for designing, implementing, and managing data lake architecture to meet business needs while ensuring high performance, security, and compliance. Key Responsibilities:
* Design, implement, and manage data lake architecture to support business objectives.
* Monitor and optimize data lake performance for high availability and reliability.
* Develop and enforce data governance policies and procedures.
* Collaborate with data engineers, data scientists, and other stakeholders to integrate data sources and support analytics initiatives.
* Implement security measures to safeguard sensitive data and ensure regulatory compliance.
* Troubleshoot and resolve issues related to data ingestion, Storage, and processing.
* Maintain comprehensive documentation of data lake processes, configurations, and best practices.
* Stay up-to-date with the latest trends and technologies in data management and analytics.

We are seeking a highly motivated and technically proficient Senior Penetration Tester to join our security research division. This role is dedicated to performing advanced offensive security assessments against the biggest companies in the world You need to be independent, attentive to details, organized, eager to learn new things, and like to research and solve problems What youll do:
* Lead and execute comprehensive, technically rigorous penetration tests targeting complex web applications, modern API architectures, and enterprise systems for organizations with significant global presence.
* Engage in sophisticated Red Team projects, including the identification of undisclosed API endpoints, development of novel bypass techniques for established security controls, and lateral movement within target environments.
* Contribute substantively to the design, development, and maintenance of proprietary internal security tools and automation frameworks to enhance the efficacy and efficiency of offensive operations.
About us:
we are the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the worlds largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, ActiveFence empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, we enable organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.
Hybrid:
Yes

We are looking for a Test Development Engineer to join our team. This role will work as part of a team driven by the development of NVIDIA's networking and interconnect products. Do you have a passion for automation development, test program development, code writing and looking for sophisticated and significant topics? We will be happy to have your skills on the team. You will handle various projects across teams, build test plans, automate test specification and execution. You will continuously innovate and develop scalable, reliable, high-performance systems and tools to enable the next generation of Interconnect products.

What Youll Be Doing:

Will work on projects across multiple functional teams from different geographies throughout the product lifecycle

Develop test plans, and execute testing via automation and manually for all supported hardware releases

Work with cross-functional teams across engineering, thermal, mechanical, and HW to identify test requirements

Develop automation and tools for NVIDIA hardware releases and test environment

Debug HW & SW failures in interconnect products, Isolate the problem, and get to the root cause

Design and build technical processes to address business issues

Deploy the test solution to the production sites and provide support if needed.

Train personnel on the required processes and operations of complex test systems.

Ensure all testing is being conducted in compliance with all safety protocols.

We are looking for a Senior Software Engineer to join the the DOCA SDK Verification team. The DOCA SDK enables developers to rapidly create applications and services on top of our BlueField data processing units (DPUs), leveraging industry-standard APIs. With DOCA, developers can deliver breakthrough networking, security, and storage performance by harnessing the power of our DPUs.

What you'll be doing:

Develop verification infrastructure in Python, tackling complex technical challenges, to ensure the robustness and correctness of DOCA Services.

Engage in the full software development lifecycle of verification components, from design to implementation, and deployment.

Write tests for verifying the functionality and performance of the DOCA platform.

Debug and analyze complex system-level issues to identify root causes and ensure timely resolution.

We are seeking an exceptional Senior K8s Software Engineer to help design and build our next-generation cloud platforms. Were looking for a deeply technical, hands-on engineer with a broad systems perspective and a passion for scalable cloud infrastructure powered by ConnectX, BlueField NICs, and GPUs. Youll join a dynamic team developing high-performance computing infrastructure used in some of the worlds largest supercomputers and data centers. This is a fast-paced, collaborative environment where youll work on innovative, next-gen products at the forefront of performance, scalability, and functionality.

What youll be doing:

Design and develop scalable, cloud-native solutions to accelerate HPC and AI workloads using our advanced technologies (GPUs, DPUs, ConnectX).

Contribute to our AI supercomputing platforms

Collaborate with cross-functional teams to deliver new features and improve existing products.

Support, maintain, and document robust software systems.

We are looking for an experienced hands-on Python Engineer who can work independently with remote teams (SW, HW, logic,) and create products that will shape the future of Computers.
The Computing SDK is the interface through which our customers run QM control system. Customers use it to configure their cutting-edge system and run their ground-breaking experiments. Various institutions from world-class universities to hyper-scalers use the SDK to calibrate their delicate QBits, perform Write and Read Computing Operations and run programs in higher level Computing languages like OpenQASM3.
ResponsibilitiesL:
Develop the software for the company's Computing SDK.
Take part in all the technical aspects of the SW development from design to delivery.
Work with high standards of SW methodology, clean-code and CI.

We are looking for a highly experienced a hands-on Software Infrastructure Engineer who embodies ambition and positivity.
Someone who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.
Responsibilities:
Creating innovative infrastructure to help with modernizing coding, processes, and workflows.
Drive adoption of AI capabilities across chip design, verification and software teams.
Partner with engineering teams to deliver high-quality software infrastructure for development in a complex hardware-software system.
Design and maintain multi-language code generation systems.
Evaluate and integrate new technologies to enhance developer workflows.

We are seeking a highly skilled Hands-On Engineer to join our Integration Team, ensuring seamless integration of multi-layered systems. This role requires close collaboration with cross-functional teams to debug, validate, and integrate complex interfaces while ensuring end-to-end functionality.
Key Responsibilities:
Integration of multi-disciplinary systems, ensuring smooth operation across different layers.
Debug and troubleshoot issues arising in the integration process.
Develop integration and validation tools.
Collaborate with architecture, logic design, verification, compiler, and embedded teams.