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We are looking for an experienced Sr. Principal Architect to join the XSIAM engineering group in a highly cross-functional, product-facing role. This position sits at the intersection of engineering, product management, customer success, and product architecture, helping shape scalable and innovative solutions across the XSIAM product.
The ideal candidate combines deep technical expertise with strong product thinking, enabling them to translate business and customer needs into clear architectural direction and execution strategies. This role requires close collaboration with engineering teams, product managers, and strategic customers to drive platform capabilities, integrations, scalability, and long-term architectural vision.
Key Responsibilities
Lead architectural design and technical strategy for XSIAM platform capabilities and integrations.
Define best practices, technical standards, and scalable design patterns across the organization.
Work closely with customers, field teams, and support organizations to understand real-world use cases and pain points.
Evaluate tradeoffs between scalability, performance, security, operational complexity, and delivery timelines.
Support strategic customer engagements and complex deployment scenarios.
Mentor engineers and technical leaders on architecture, system design, and product-oriented engineering thinking.
Act as the bridge between engineering, product, and site reliability (SRE) to ensure that architectural designs translate into operational excellence.

We are looking for a Development Engineer to join our team. This is a technical operations development engineer to contribute to production infrastructure, platforms, and/or service improvements.
Description:
Follows general guidance to maintain production infrastructure, platforms and services. Works with other teams in the organization and participates in the design review of new, scalable solutions for fast changing environments with limited supervision. Supports the execution of deep drill down analysis into production support operations and implements necessary fixes. Investigates errors and triages issues to determine resolution. Builds and implements small to standard enhancements to resolve defects. Contributes to production infrastructure, platforms, and/or service improvements. Contributes to the design, development, configuration, implementing, of enterprise supporting systems. Contributes to server architecture and networking solutions. Conduct simple code and architecture reviews and resolves simple performance and scalability issues to improve products and services.
Key Responsibilities
Production Infrastructure:
-Follows general guidance to maintain the production infrastructure, platforms, and services which support the growing client base as well as to support the design and implementation of highly scalable environments.
-Works with other teams in the organization and provides solutions for their needs.
-Participates in the design review of new, scalable solutions for fast changing environments with complex needs in various fields (e.g., configuration deployments, monitoring, and logging) with limited supervision.
Troubleshooting, Testing, and Improvements-Drilldown Analysis/Troubleshooting:
-Supports the execution of deep drill down analysis into production support operations and implements necessary fixes.
-Investigates errors, debugs source code and performance bottlenecks, and provides root cause analysis (RCA) if needed with assistance from others.
-Triages issues and connects with SMEs to determine resolution.
Troubleshooting, Testing, and Improvements-Testing and Improvements:
-Builds and implements small to standard enhancements (e.g., automating alerts) and receives minimal guidance to resolve defects.
-Globally works with cross functional teams to ensure service health with pre-production testing of new releases, post-change validation, and automation work to improve the testing.
-Contributes to changes, evolution, improvements, simplifications, and development of new ideas for the production, platforms, and/or services.
-Participates in the creation of user acceptance test plans.
System Design and Architecture-System Design:
-Contributes to the implementation and deployment of enterprise supporting systems with minimal guidance.
-Works with limited external or internal customers to implement large scale solutions, business process architecture, application system design, and implementation.
System Design and Architecture-System Architecture:
-Contributes to the identification of solutions in experience of application or server architecture and networking.
-Participates in the development of part of the architecture standards and practices.

Our System Product Engineering team is looking for a SW engineer to design and develop the backend and tooling infrastructure supporting the test and validation of next-generation networking systems. This position plays a key role in building the software systems and services that enable effective, scalable, and automated validation, helping our test teams deliver high-quality products quickly and efficiently.

What youll be doing:

Design and implement infrastructure and backend services to support test execution, test management, and reporting across multiple platforms and teams.

Develop automation tools, pipelines, and interfaces to streamline validation workflows and data handling.

Collaborate with validation engineers to understand testing needs and translate them into reliable, scalable software solutions.

Contribute to improving system reliability, maintainability, and observability of infrastructure components.

Support CI/CD integration for validation processes and services.

We're looking for a software engineer who specializes in machine learning - someone whose core strength is writing excellent, production-grade code. You'll own the engineering quality of our ML systems: building, maintaining, and monitoring the services that run our models in production, and helping our data scientists ship code that's readable, maintainable, and built to last.

Responsibilities

Transition ML workloads from research to production - ensuring scalability, efficiency, and reliability.
Design, build, and maintain ML services, their infrastructure, and monitoring across their lifecycle.
Integrate ML into our production systems, working closely with the engineering and devops teams.
Own the data infrastructure and tooling our ML systems rely on, and shape unstructured data into a form ready for analysis.
Help data scientists write readable, maintainable code, and raise software engineering standards across the team.

We are looking for a talented Frontend Engineer to help build and scale the user-facing
infrastructure of our fast-growing SaaS enterprise product. In this role, you will own frontend
feature development from initial requirements to final delivery. Operating in a highly
collaborative, agile environment, you will work alongside cross-functional developers and QA
engineers, reporting directly to the Frontend R&D Team Leader.
● Own the Frontend Lifecycle: Take part in feature development from requirement
definition stages to final production deliverables.
● Lead UI Initiatives: Drive and own frontend development efforts within the group,
ensuring high standards of code quality.
● Research & Innovate: Evaluate modern web platforms, UI frameworks, and
cutting-edge frontend technologies to optimize our ecosystem.
● Deliver Excellence: Produce high-quality web applications that meet strict enterprise
security, stability, and performance standards.
● Collaborate in Agile: Work as a core member of a cross-functional team, interfacing
with backend/mobile engineers and QA to deliver seamless user experiences.

We are looking for talented experienced and passionate engineer to join us as a Developer at the CyberArk EPM Agents group. EPM introduces a combined solution for application control, privilege management, and threat detection.
The team member must demonstrate high professional skills, be a team player mentality and always strive for new knowledge and excellence.

As a Principal AI Software Engineer on our Generative AI foundation team, you will build AI agents and shared infrastructure that power GenAI capabilities across the company. You will be involved in the full software lifecycle, from fast-moving prototypes to production-grade systems, enabling CyberArks product lines to adopt agentic workflows safely and at scale. You will collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
Your Impact:
Engage in the full software lifecycle, from fast-moving prototypes and POCs to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust services.
Work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services.
Use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve solutions.
Implement solid design, flexible implementation, strong telemetry, and production feedback loops.

What you'll be doing:

Design and build the core platform that powers an autonomous AI agent - including its reasoning engine, tool orchestration, and the runtime infrastructure it operates on.

Develop and evolve the Micro-services ecosystem that gives the agent its capabilities - from knowledge retrieval and log analysis to code execution and workflow automation.

Own features end-to-end: from requirements analysis and architecture, through implementation, to production deployment and iteration based on real usage.

Instrument, evaluate, and improve the platform's reliability - build observability, track quality, and feed signals back into the system to make the agent more effective over time.

Collaborate with engineering teams across the organization to identify high-impact workflows and translate them into AI-assisted automation that boosts developer productivity.

Work across the stack when the problem requires it - Python services, Kubernetes infrastructure, data stores, CI/CD pipelines, and developer-facing tools.

We are seeking a highly skilled and modern software engineer to develop and prototype brand new advancements in distributed training and inference using our Spectrum-X AI fabric. This role offers a rare chance to pioneer AI and networking technology, contributing to ground-breaking projects that will define the landscape of large-scale AI systems. Improve AI app-networking connection by refining communication, crafting congestion control, coding NIC firmware, and expanding switch SDK features for enhanced AI factory efficiency. Your work impacts large AI system development, scaling, and speed.

What youll be doing:

Prototype end-to-end solutions to improve distributed training and disaggregated inference performance.

Analyze and optimize communication flows across application, transport, and network layers.

Develop system software spanning communication libraries, drivers, and firmware integrations.

Collaborate with hardware, firmware, and SDK teams to co-design network features.

Validate and integrate prototypes into our AI infrastructure and products.

We seek for team lead to join our Ethernet Switch SONiC Network OS. As a SONiC design team lead, you will have to work closely with our development and architecture teams responsible for SONiC Network OS and gain a deep understanding of our products and technologies.

What you'll be doing:

Be part of our SONiC R&D team, contribute code to SONiC worldwide community.

Work in a Continuous Deployment environment of fast development/deployment cycles.

Work with experienced teams which are well known in the SONiC community.

Participate in an international team of software engineers working on products for testing our products.

Manage, mentor, and guide a team of SONiC eth switch NOS.

Design and implement SONiC feature under linux environment upstream to SONiC open source project.

Promote a culture of innovation, quality, and accountability. Bring SONiC NOS to shine in customer's view.

We are a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. We are looking for ATE software engineer As a Software Automatic TEST Equipment Engineer, you will play a vital role in developing and maintaining advanced Automatic TEST Equipment (ATE) software for electronic cards and calibration systems used in our cutting-edge Active Electronically Scanned Array (AESA) radar technology. You will collaborate closely with a multidisciplinary team to ensure the functionality, accuracy, and performance of our ATE systems. Key Responsibilities:
* ATE Software Development: Design, develop, TEST, and maintain software for Automatic TEST Equipment used in electronic card testing and AESA radar calibration.
* Integration: Collaborate with hardware engineers to integrate ATE software with testing equipment and devices, ensuring seamless operation.
* Debugging and Troubleshooting: Identify and resolve software issues, system failures, and compatibility problems to ensure optimal ATE performance.
* Documentation: Maintain accurate and up-to-date documentation.
*  Quality Assurance : Implement quality control measures to ensure that ATE software meets industry standards and complies with project requirements.
* Team Collaboration: Work closely with cross-functional teams, including hardware engineers, software developers, and project managers, to meet project milestones and objectives.
* Continuous Improvement: Stay up-to-date with industry trends and emerging technologies, and contribute to the ongoing improvement of ATE software and testing methodologies.

We are looking for a Senior Software Engineer to join the SDK Verification team. The DOCA SDK enables developers to rapidly create applications and services on top of our 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 will be doing:
As a Senior Software Engineer in the DOCA verification team, you will play a key role in designing and developing the verification infrastructure for the DOCA SDK. This infrastructure is a complex system that executes thousands of tests every night across multiple hardware platforms and configurations. It includes mechanisms for error handling and fault recovery, while test results are stored, analyzed using advanced tools, and presented through live dashboards and reports. Your expertise in building robust and efficient verification systems will be critical to ensuring the reliability and quality of our software.

As a Senior/ Principal/ Senior Principal Software Engineer at Cortex Cloud, you will serve as a primary technical architect and visionary for our core communication infrastructure. This role is focused on the critical server-side backbone that facilitates high-scale bidirectional communication between our cloud services and client-side applications.
You will be responsible for the architectural integrity of systems that receive massive data inflows from the field and reliably broadcast intelligence back to millions of endpoints. This is a high-impact leadership role requiring a blend of deep technical mastery in distributed systems and the ability to influence technical strategy across the organization.
Key Responsibilities
Architectural Strategy & Vision: Define and drive the multi-year technical roadmap for our server-side communication infrastructure, ensuring the platform remains resilient and performant under extreme load.
High-Scale Communication Infrastructure: Lead the design and implementation of backend systems optimized for receiving high-scale data from client-side apps and distributing data back to a vast ecosystem of endpoints.
Technical Leadership & Influence: Act as a force multiplier by providing technical guidance to multiple engineering teams, aligning them on shared protocols, architectural standards, and communication patterns.
Drive Engineering Excellence: Champion a culture of high engineering rigor, focusing on deep observability, low-latency data distribution, and runtime stability for mission-critical production environments.
Cross-Functional Collaboration: Partner with Product Management, Infrastructure, and Client-Side Engineering teams to evaluate technical trade-offs, mitigate risks, and ensure seamless end-to-end data flow.
Innovation & Prototyping: Spearhead the evaluation of emerging technologies and lead "proof of concept" initiatives for next-generation transport layers and messaging paradigms.
Technical Mentorship: Invest in the growth of Senior and Staff engineers through deep-dive design reviews, code audits, and hands-on pair programming on the most critical paths.
Strategic Customer Engagement: Support the business by leading technical deep dives with strategic customers, translating complex architectural concepts into actionable confidence for our partners.

We are looking for an experienced and highly capable Principal/Senior Software Engineer to join the Koi team. This role is focused on building and scaling a complex, high-impact product that operates across large-scale enterprise environments. As a Principal Engineer, you will take ownership of major parts of the system and work across the full stack, including backend services, data pipelines, frontend applications, and endpoint/agent code. You will play a key role in shaping the architecture of Koi as it grows, ensuring the system remains scalable, reliable, and easy to evolve.
Key Responsibilities
Design and build scalable, high-performance systems across the full Koi stack
Own architecture and technical direction for critical components
Work across backend, data, frontend, and agent code
Tackle complex challenges related to scale, reliability, and performance
Drive best practices in system design, testing, and observability
Collaborate closely with product, security, and customer-facing teams
Identify and resolve bottlenecks and architectural limitations
Mentor other engineers and raise the overall technical bar of the team.

We are looking for an excellent Drivers Team leader to lead the Inbox Linux Drivers team and make a wide impact on the company products and teams worldwide. The role includes leading the development and maintenance of cutting-edge Linux kernel drivers and userspace libraries for our networking technologies, while managing a team of highly skilled Linux engineers responsible for delivering production-quality software across multiple products and distributions.

What youll be doing:

Lead a team of Linux kernel engineers responsible for developing, maintaining, and delivering Linux networking drivers for our NICs across multiple product lines, including Inbox drivers, our Kernel, and DOCA Host.

Drive the design, implementation, maintenance, and integration of Linux kernel drivers and accompanying userspace libraries for state-of-the-art Ethernet and RDMA networking technologies.

Own the teams technical execution, roadmap, prioritization, and delivery while mentoring engineers and fostering technical excellence.

Collaborate closely with architecture, firmware, hardware, validation, DevOps, product, and customer-facing teams across the globe to deliver robust and scalable networking solutions.

Lead complex debugging and performance investigations across the Linux networking stack, working with both internal stakeholders and open-source communities.

Ensure high software quality through strong engineering practices, code reviews, automation, and continuous integration.

Be part of an experienced organization with a collaborative culture, solving challenging problems that power next-generation AI, cloud, and high-performance computing infrastructure.