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As a Principal Software Engineer on the Cortex Platform team, you will be part of a group with the mentality and independence of a startup, backed by the power of a successful corporation. You will be instrumental in designing and building a massive-scale infrastructure that supports billions of events per second. Your work will involve storing, processing, and visualizing data to collaborate with the industry's leading cyber products and deliver unparalleled security insights.
Key Responsibilities
Own the end-to-end software development lifecycle, from requirement analysis and design through to development, deployment, and ongoing support.
Architect, design, and develop highly scalable, distributed backend services capable of processing billions of events per second.
Proactively collaborate and exchange information with cross-functional teams, including product management and other engineering groups, to ensure alignment on goals and deliverables.
Drive technical innovation by proposing and implementing new ideas and initiatives, transforming concepts into tangible product features.
Ensure high standards of code quality, performance, and reliability through rigorous code reviews, automated testing, and proactive system monitoring.
Mentor and empower other engineers on the team, sharing knowledge of best practices in software design and cloud technologies.

We are looking for a Senior Production Engineer who thrives in high-scale, high-performance environments. In this role, you will design and manage mission-critical infrastructure, develop automation tools, and ensure the reliability and scalability of our platform. You will work closely with engineering teams to optimize performance, enhance observability, and prevent incidents before they happen.
If you love solving complex infrastructure challenges and building tools that empower engineers, this role is for you!
What Will You Do?
As a Senior Production Engineer, you will:
Design, build, and maintain a highly available, scalable, and resilient production infrastructure handling millions of requests per second.
Manage and optimize tens of AWS accounts in a multi-account cloud environment.
Developing AI-driven automation frameworks and tools that more than 400 R&D engineers use while enhancing system reliability and engineering efficiency.
Design, implement, and support the LLM and agentic workflow infrastructure, ensuring its scalability and reliability.
Manage thousands of servers and containers, ensuring seamless infrastructure operations.
Improve and maintain our logging, monitoring, and alerting stacks for enhanced observability.
Troubleshoot and mitigate production incidents, participating in on-call rotations to ensure system health and stability.
Collaborate with engineering teams to optimize performance, reduce latency, and improve deployment processes.

Join a team of senior engineers operating in a large-scale, multi-cloud production environment supporting tens of thousands of enterprise customers worldwide. This is not a typical SRE role - youll work at the core of a complex, high-impact system alongside experienced DevOps professionals in a fast-paced, cybersecurity-focused organization.
Your Impact:
Own and operate large-scale, global production environments across multiple cloud providers (GCP, AWS, Azure)
Actively monitor, investigate, and resolve incidents triggered by automated alerting systems (PagerDuty / Incident Response)
Drive end-to-end troubleshooting across complex, distributed systems with high context switching
Design, deploy, and improve monitoring and observability systems (e.g., Prometheus, Grafana) - not just react to alerts
Collaborate closely with internal teams (CX, CS, Engineering) to ensure system reliability and performance
Work hands-on with modern DevOps and infrastructure tools including Kubernetes, Terraform, CI/CD pipelines, and GitOps workflows
Develop and maintain automation and tooling (primarily in Python)
Gain deep understanding of system architecture and interconnected services
Contribute to a culture of operational excellence in a high-scale, high-availability environment
On call responsibilities:
Daytime hours (12:00-20:00)
Occasional weekends and holidays (rotation-based).

Join a new initiative within the Cortex XDR agent group as an Infrastructure and internal tooling Software Engineer, focused on enhancing developer velocity and quality. You will be part of a task force developing end-to-end testing frameworks, innovating CI processes, and incorporating new tools to streamline development. This role is pivotal in improving processes and increasing the efficiency of our security R&D group. You will work with multiple stakeholders to build productive relationships and drive the team's success.
Key Responsibilities
Implement and manage an end-to-end Python testing framework for developers to run tests in development and CI.
Set up and maintain innovative CI/CD processes to streamline development and ensure high-quality software outputs.
Enhance developer productivity by contributing to initiatives that increase development velocity and reduce routine tasks.
Lower code to product CI/CD cycle time.
Collaborate with development, research, DevOps, and QA teams to align infrastructure projects with their requirements.
Continuously learn and adapt new technologies and tools to keep the development process efficient.

Required AI Engineer
Why is this role so important?
As an AI Engineer, you will be a key player in building our new AI platform, AI Studio. This platform aims to provide users with instant answers to complex market research questions, generate world-class reports, and create live, interactive, and powerful dashboards. Our goal is to reduce the complexity and time-to-insight for our users, helping them streamline their market tasks and achieve automation that drives real value.
So, what will you be doing all day?
Design and develop LLM-based intelligent agents that can handle complex market research queries.
Utilize LangGraph and other frameworks to create state of the art AI agents that integrate various tools and data sources.
Implement integrations that allow agents to take automated actions on behalf of users, streamlining workflows and reducing overhead.
Collaborate with product, data, and UX teams to ensure that AI solutions are aligned with user needs and business goals.
Continuously evaluate and improve the performance of AI models to ensure high-quality and data-driven results.

We are looking for an Integration Engineer to design, build, and maintain integrations and automation workflows primarily using Workato. You will work as part of a cross-functional team of integration engineers and developers, collaborating closely with Operations and business teams to automate processes and ensure reliable system connectivity.
What Youll Do:
Design, build, and support integrations and automated workflows using the Workato platform
Automate business processes by connecting systems and third-party apps
Integrate and deploy AI-powered solutions to enhance business processes.
Design, implement, and own complex integration solutions
Troubleshoot and support existing integrations
Collaborate with business and technical stakeholders.

We are seeking a talented Senior Full-Stack Engineer for our dynamic Agentic Browser team at the Tel Aviv R&D center. You'll play a pivotal role in developing cutting-edge web applications, utilizing your expertise in TypeScript, React and Browser extension development. Our Full-Stack Engineers are crucial in building and maintaining the robust and scalable solutions that drive our cybersecurity efforts.
You will contribute significantly to our ongoing projects, with opportunities for professional growth and skill development.
Your Impact
Research complex issues from the field and provide creative solutions
Serve as a leading individual in a very strong team professionally and personally - Were looking for someone who not only delivers his own work but improves that of those around them
Find space for growth to push the entire team or group forward - New projects, changing processes or improving existing tools
Be involved in all aspects of development, from coding to testing, playing a key role in each project phase.

We Are KPMG Israel KPMG Israel is more than a professional services firm, we are a community of people driven by impact. As part of a leading global network, we partner with the most influential organizations to drive large-scale business and technology transformation, combining strategic thinking, innovation, and advanced technologies. Guided by integrity, excellence, and forward thinking, we help organizations navigate complexity and create real change. Our people are at the center, with space to lead, experiment, and grow in a dynamic and collaborative environment that connects personal development with meaningful impact on the future of business and society We are looking for a passionate Elastic Engineer to join a dynamic, data-driven environment. This is a hands-on role focused on building advanced monitoring and cybersecurity solutions, working with large-scale data, and partnering with clients to deliver impactful insights and detection capabilities. Role Responsibilities
* Ongoing operation and maintenance of enterprise Elastic environments.
* Monitoring, alerting, and system management.
* Integration with other cloud and platform services.
* Load and performance testing.
* Design and implementation of Kafka-based ingestion pipelines into Elastic.
* Continuous improvement, stabilization, and optimization of the Elastic platform.

We are looking for best-in-class Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.

What you'll be doing:

You will be in charge of developing full-chip physical design methodologies, Physical Verification development and support through all the projects, Tapeout activities for implementation of networking chips and SOCs.

Work closely with Full Chip Layout owners and block owners, project managers to assure high quality and timely convergence.

Come up with unique and creative solutions to the state of the art FCL physical design problems that are needed for our chips.

We expect you to run, debug, and approve Physical Verification flows across multiple projects, ensuring strict adherence to our high standards.

Participating and developing flow and tool methodologies for fullchip, physical design verification across multiple projects.

As an AI/ML Solution Engineer in the AI-Native Development team, you will design and build AI-powered development pipelines, evaluate ML approaches for code generation and review, and drive the adoption of AI-assisted software development across the organization. You will work at the intersection of machine learning and software engineering - selecting the right models, feedback strategies, and evaluation frameworks to make AI-generated code reliable, high-quality, and trustworthy.

What you'll be doing:

Drive architecture, applied research, and hands-on development by defining and building AI-native software engineering solutions.

Design and build AI-powered development pipelines - from code generation and automated review to feedback loops and evaluation systems.

Evaluate and select ML approaches for specific problems: when to use LLM prompting vs. fine-tuning (QLoRA), classical ML (random forest, linear regression) vs. reinforcement learning, RAG vs. structured extraction.

Architect feedback and evaluation systems that measure and improve AI output quality over time.

Review and refine AI solution architectures - evaluate design decisions, identify weaknesses, propose alternatives with reasoning.

Lead proof-of-concept development to validate new AI/ML approaches for development tooling.

Collaborate with the core team to define risk-based development levels and calibrate AI review depth per level.

We are looking for a Senior Software Engineer to join the AIOps platform team and help build the core distributed systems that ingest massive telemetry streams from GPU clusters and operationalize predictive AI models at scale. You will work at the intersection of high-performance data engineering and production ML, turning research algorithms into reliable, mission-critical software.

What you'll be doing:

Architect and build an agentic AIOps system that autonomously monitors GPU fleet health, aggregates and correlates massive telemetry streams, surfaces intelligent alerts, and orchestrates multi-step diagnostic workflows and corrective actions - powering real-time dashboards, automated root-cause analysis, and proactive incident response.

Research, evaluate, and prototype data storage strategies and data representations across diverse database technologies and modalities, ensuring AI models are trained on high-quality, well-structured data that improves predictive accuracy and generalization.

High-Scale Engineering: Design distributed systems to handle the extreme telemetry density of large-scale AI clusters, ensuring efficient data ingestion, processing, and real-time analysis.

Instrument services with deep observability (metrics, logs, traces) to support rapid debugging and continuous performance improvement.

Build and own the model-serving infrastructure that operationalizes predictive algorithms at scale - packaging, versioning, deploying, and monitoring AI models in both SaaS and on-premises environments.

Contribute to the platform's core libraries and abstractions that accelerate development across the broader AIOps engineering team.

We are looking for Senior Software Engineer to join the Cumulus Linux team! We present you with an opportunity to be part of the team that develops the Network Operating System that powers data centers that are accelerated, disaggregated and software-defined to meet the exploding growth in AI and high-performance computing. You'll be part of a software development team responsible for defining and implementing core platform services, as well as Reliability, Availability and Serviceability features for Cumulus Linux, the Debian-based operating system for NVIDIA's market-leading Ethernet switches.

What you'll be doing:

Design and develop software for Cumulus Linux operating system (OS) which runs on our portfolio of data center switches.

Work on bringing up Cumulus Linux on next generation Nvidia switches.

Develop and maintain software in Python, C and Shell for our OS.

Collaborate with product, architecture, and engineering teams to deliver features on Cumulus Linuxs roadmap.

Debug and resolve issues reported by test and customer-facing teams.

Work with open source software that is part of our OS and fix issues as and when they are raised.

We are looking for best-in-class Senior Chip Design Verification Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take a significant part in designing and verifying our groundbreaking and innovating new chips, enjoy working in a meaningful, growing and highly professional environment where you make a huge impact in a technology-focused company.

What you'll be doing:
Take a crucial part in developing our next-generation chip controller and boot.
Design and verification with challenging multi-discipline context.
Take part in the development of all our networking and GPU networking chips and systems.

We are looking for an experienced Design Engineer to join the YU design team and develop the next generation technologies.

As a design engineer in the YU design team, you will participate in definition and implementation of our boot and chiplet control technologies in various projects. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting Switches, Nic and SoC product lines. We are working closely with a wide range of aspects - chip design, backend, verification and production testing. We are working on the most advanced technologies and sophisticated products, our solutions are unique, innovative, and we are continuously improving and evolving the solutions to meet the challenging goals.

What you'll be doing:
In this position, you will be responsible for defining, coding and integrating sophisticated boot components into various projects and using state-of-the-art technologies.
As a member of our YU design team, you will participate in defining various boot and chip controller features and improvements, write micro-architecture documents, code design blocks, integrate them into various projects, bring your design to silicon tape-out and silicon testing and production.
Strong collaboration with architects, other design teams, verification, back-end and production testing to accomplish your tasks.

We are looking for an excellent Senior Firmware Engineer to join the Firmware team. The Firmware team develops groundbreaking networking features for AI, cloud, HPC and storage. We drive the data growth of the worlds biggest companies. With many hardworking engineers around the globe, the work environment is complex, results-oriented and fast paced. You will learn how a big software project is operated, maintained, qualified and released, and how Hardware and Firmware are developed

What you will be doing:

Work closely with the architecture and different software and hardware design teams.

Implement new features for our NIC and Switch firmware.

Develop verification tests for advanced features in a highly complex and sophisticated Firmware testing environment.

Collaborate with multi-functional teams including chip design, board designers, Silicon, SW and program managers to debug any FW/validation issues.

Heavily involved with the early modeling and simulation required to produce our outstanding products including schematic and layout reviews on next generation board designs.