לוח משרות דרושים Principal Engineer משרה מלאה

We are seeking a talented Senior Full-Stack Engineer for our dynamic 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.
Senior Full-Stack Engineer 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.

Required Principal Rust Software Engineer - Data Classification (Cortex Cloud)
Your Career
As a Principal Engineer on the Data Classification team, youll lead the design and development of scalable solutions that help customers understand and protect their data. Youll work across the full product lifecycle- design, implementation, testing, and deploymentwhile collaborating with cross-functional teams to ensure seamless integration. Beyond your own contributions, youll raise the bar for those around you, driving innovation, mentoring teammates, and pushing for continuous improvement.
Your Impact
Supercharge data security protection by developing solutions helping clients understand what kind of data they have, and where
Make significant contributions to feature development by engaging in design, implementation, testing, and deployment processes
Collaborate with other cross functional teams in order to create tight integrations of product features and infrastructure
Ship innovation for solutions dealing with high scale data and operations
Serve as a leading individual in a very strong team professionally and personally - Were looking for someone who not only delivers their own work but improves that of those around them
Generate ideas and actively participate in brainstorming sessions to foster innovation within the product
Identify areas for improvement within the team and actively push for positive change through new initiatives or optimizations.

We are looking for a Senior Principal Backend Engineer to join our Cortex XDR team and help us to prevent, detect and respond to all runs on an integrated endpoint, network and cloud data - reduce the noise and focus on real threats.
Your Impact
You will be a part of a group with the mentality and independence of a startup, supported by the power of a successful corporation You will design and build an infrastructure that supports billions of events per second, storing, processing and making them accessible and visible to the user while collaborating with the industry's leading cyber products
You will be responsible for the complete software development life cycle including requirement analysis, design, development, deployment, and support You will write clean, testable, readable, fast and maintainable code that is efficient and scalable.

We are looking for a Principal Backend Engineer to join our Cortex backend engineering group.
The group develops and maintains the backend of Cortex products Cortex XSOAR, Cortex XDR, and Cortex XSIAM. The great majority of the Cortex engineering group is located in the TLV office which allows us to operate at a high pace with short loops of decisionmaking.
You will join a team focused on developing, innovating, and scaling the Cortex XSOAR product, along with contributing to shared Cortex infrastructures and components. We are looking for candidates with a cando attitude, who are passionate about complex problems and thrive on bringing value to thousands of customers.
Your Impact
Production at scale!
Endtoend backend development of features and components across their entire life cycle (design, develop, test, deploy, maintain)
Providing real time mitigation and solutions to complex production issues
Work closely with peers across different teams and disciplines to shape solutions and integrate with other parts of the product
Contribute to teamwide efforts code reviews, design reviews, technical and architectural decisions
Participate in a rotational on-call schedule to ensure the smooth operation of our production systems and provide real-time support for critical issues.

We are looking for a Senior Principal Backend Engineer to join our Cortex Platform team and help us to prevent, detect and respond to all runs on an integrated endpoint, network and cloud data - reduce the noise and focus on real threats.
Your Impact
You will be a part of a group with the mentality and independence of a startup, supported by the power of a successful corporation You will design and build an infrastructure that supports billions of events per second, storing, processing and making them accessible and visible to the user while collaborating with the industry's leading cyber products
You will be responsible for the complete software development life cycle including requirement analysis, design, development, deployment, and support You will write clean, testable, readable, fast and maintainable code that is efficient and scalable.

We are looking for a Sr Principal Linux Security Researcher for our Tel Aviv R&D center, to work on cortex-xdr for linux, which provides runtime protection to servers and cloud workloads.
You will be part of a team that is in charge of researching, developing and improving Anti-Exploit capabilities, Anti-malware capabilities. The position includes researching OS internals, exploits, malware, delving into cloud security, and finding ways to mitigate new attack vectors.
Your Impact
Research, develop, and improve anti-exploitation mitigations and anti-malware modules - ranging from low-level mitigations up to tackling application-level security vulnerabilities
Work on the design, evaluation, and implementation of new security technologies
Research Linux OS internals, kernel, application codebases, vulnerabilities and exploits (Mostly internal usage but also PR)
Analyze customer issues to help with detecting and preventing malicious activities in our customers networks.

We are seeking a Senior Backend Engineer to become a vital part of our Cortex backend engineering group, primarily focusing on the development and maintenance of our Cortex products, including Cortex XSOAR, Cortex XSIAM and new Cortex AI solution. Located predominantly in our TLV office, our team operates with high efficiency and swift decision-making processes.
In this role, you will design and implement robust backend services for Cortex XSOAR, a leading-edge security orchestration, automation, and response platform. This position requires a solid background in software engineering, with proficiency in Go or Python, and a keen interest in tackling complex technical challenges within the cybersecurity sphere.
As a member of our dynamic team, you will also contribute to creating innovative AI-based solutions leveraging the Cortex product line, enhancing shared Cortex infrastructures and components. We value candidates who are proactive, passionate about problem-solving, and committed to delivering substantial impact to thousands of customers. This role is an exceptional opportunity for those eager to advance Cortex XSOAR with AI-driven capabilities and make a significant mark in the cybersecurity industry.
Your Impact
End-to-end backend development of features and components across their entire life cycle (design, develop, test, deploy, maintain)
Work closely with peers across different teams and disciplines to shape solutions and integrate with other parts of the product
Contribute to team-wide efforts - code reviews, design reviews, technical and architectural decisions
Production oriented approach with providing real time mitigation and solutions to production issues.

Our Global Engineering organization is looking for a Principal Software Engineer to join the Telco Partner Architecture team in Telco Engineering. You will be part of a team responsible for designing and implementing the container platform for 5G telecommunication networks, contributing to industry-leading technologies in the Kubernetes and Telecom ecosystem with Telco Partners in EMEA or APAC, for example CNCF projects, and O-RAN.
As a part of a geographically distributed team, you will work with multiple teams and open source communities around the globe.
To be successful in this role, you will need to have motivation, curiosity, passion for problem solving, and experience with Linux technologies, Kubernetes and open source development models. We can hire you in any EMEA or APAC country where we have a legal presence.
What you will do
Define, contribute to, and collaborate with Telco partners on Blueprints and system architectures pairing platforms with Partner technology
Establish long-term technical relationships with key Telco partners, gathering and analyzing partner requirements and use cases to deliver meaningful business outcomes
Play an active hands-on role in researching and then architecting various OpenShift and Telco specific features into a unified solution, proactively test the involved technologies, experiment and provide demonstrations
Collaborate across teams (Product Management, Engineering, QE, Consulting, Support) to influence future directions and be an advocate for feature development and support needed for strategic partners next generation offerings
Evangelize the team's work through blogs, web postings, or conference talks
Collaborate with cross-functional teams to identify opportunities for AI integration, driving continuous improvement and innovation in engineering practices.

We are looking for a Principal Solution Engineer to join our Ecosystem Engineering team, focusing on the optimization of AI/ML models inference and serving. In this role, you will identify, build, and optimize emerging use-case patterns within the AI and vertical industries. These patterns will leverage our products, partner offerings, and open source projects deployed on our portfolio, with a specific emphasis on model serving, inference, and MLOps workflows. You will collaborate closely with our engineering and product management teams, using insights gained from interactions with partners and customers to influence product adoption and development. As part of a geographically distributed team, you will engage with multiple engineering teams and open source communities globally. Success in this role requires strong motivation, curiosity, a passion for problem-solving, and hands-on experience with Linux technologies and open source.
What you will do:
Identify emerging patterns for applying our offerings to business problems
Discover and describe what differentiates our solutions from competitive alternatives by working directly with key partners and customers who deploy and operate our solutions
Create reference architectures for optimized AI workloads running on/with our portfolio
Create and conduct on-demand demo labs, providing an initial practical experience for key partners and customers
Provide technical vision and leadership on critical and high impact projects
Communicate and promote the results of reference architectures globally through publication of blogs and speaking at webinars and conferences
Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge.

The OpenShift AI team is looking for a Software Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of hybrid cloud MLOps platforms, contribute to the development of the RHOAI product, participate in open source communities, and be at the forefront of the exciting evolution of AI. Youll join an ecosystem that fosters continuous learning, career growth, and professional development.
As a core developer for one of our OpenShift AI teams, you will have the opportunity to actively participate in one of our component teams as well as the affiliated open-source communities. You will work as part of an evolving development team to rapidly design, secure, build, test, and release new capabilities. The role is primarily an individual contributor who collaborates closely with other developers and cross-functional teams. You should have a passion for working in open-source communities and for developing solutions that integrate open-source, and partner technologies into a cohesive platform.
What you will do:
Architect and lead implementation of new features and solutions for RHOAI
Innovate in the MLOps domain by participating in upstream communities
Provide technical vision and leadership on critical and high impact projects
Ensure non-functional requirements including security, resiliency, and maintainability are met
Write unit and integration tests and work with quality engineers to ensure product quality
Use CI/CD best practices to deliver solutions as productization efforts into RHOAI
Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements
Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
Give thoughtful and prompt code reviews
Represent RHOAI in external engagements including industry events, customer meetings, and open source communities
Mentor, influence, and coach a distributed team of engineers.

The OpenShift team is looking for a Machine Learning Engineer with experience in building, scaling, and monitoring AI/ML systems to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to shape the observability and reliability of GenAI workloads, contribute to the development of the RHOAI product, participate in open source communities, and be at the forefront of the exciting evolution of AI. Youll join an ecosystem that fosters continuous learning, career growth, and professional development.
As a core ML engineer for one of our OpenShift AI teams, you will have the opportunity to design and build systems that monitor, validate, and improve AI model performance in production. You will work as part of an evolving development team to rapidly design, secure, build, test, and release new capabilities. The role is primarily an individual contributor who collaborates closely with other ML engineers, software developers, and cross-functional teams. You should have a passion for observability, MLOps, and building robust systems for real-world AI.
What you will do:
Architect and lead implementation of new features and solutions for RHOAI, focusing on observability, insights, and optimizations for large-scale GenAI workloads running on Kubernetes
Innovate in the MLOps domain by participating in leading upstream communities such as llm-d
Provide technical vision and leadership on critical and high impact projects
Use CI/CD best practices to deliver solutions as productization efforts into RHOAI
Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements
Collaborate with cross-functional teams to identify opportunities for AI integration within the software development lifecycle, driving continuous improvement and innovation in engineering practices
Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
Represent RHOAI in external engagements including industry events, customer meetings, and open source communities
Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI
Mentor, influence, and coach a distributed team of engineers.

The Ecosystems Engineering group is seeking a Senior Principal Software Engineer to join our rapidly growing team. This is a game-changing opportunity to join an open-source AI platform that harnesses the power of hybrid cloud to drive innovation. In this role, you will work with a diverse team of highly talented engineers on designing, implementing, and productizing new AI solutions, with a focus on deep integration of the AI stack, hardware accelerators, and leading OEMs and Cloud Computing Service Providers (CCSPs).
You'll play a critical role in shaping the next generation of hybrid cloud platforms by directly contributing to our innovative AI and Edge products. This is your chance to be at the forefront of AI's exciting evolution, joining an ecosystem that champions continuous learning, career growth, and professional development. You'll also collaborate closely with product management, other engineering teams, and key partners and lighthouse customers.
What You Will Do:
Architect and lead the implementation of new features and solutions for our AI and Edge products.
Explore deep code integration into various products, ensuring optimal integration between our portfolio, hardware accelerators and partners.
Provide technical vision and leadership on critical and high-impact projects, ensuring non-functional requirements including security, resiliency, and maintainability are met.
Integrate software that leverages hardware accelerators (e.g., DPUs, GPUs, AIUs) and perform performance analysis and optimization of AI workloads with accelerators.
Work with major AI and hardware partners such as NVIDIA, AMD, Dell, and others on building joint integrations and products.
Collaborate closely with UX, UI, QE, and cross-functional teams to deliver a great experience to our partners and customers.
Coordinate with team leads, architects, and other engineers on the design and architecture of our offerings.
Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and respond to security threats.
Mentor, influence, and coach a distributed team of engineers, contributing to a culture of continuous improvement by sharing recommendations and technical knowledge.

Required Principal Machine Learning Engineer GenAI Benchmarking & Validation Infrastructure
The Principal Machine Learning Engineer GenAI is responsible for hands-on design, development, and operation of large-scale systems and tools for AI model benchmarking, optimization, and validation.
Unlike traditional ML Engineers focused mainly on training models, this role centers on building, running, and continuously improving the infrastructure, automation, and services that enable rigorous, repeatable, and production-grade model evaluation at scale.
This is a hands-on principal role that combines strategic technical leadership with active engineering execution.
You will own the architecture, implementation, and optimization of benchmarking and validation capabilities across our AI ecosystem. This includes architecting Validation-as-a-Service platforms, delivering high-performance benchmarking pipelines, integrating with leading GenAI frameworks, and setting industry standards for model evaluation quality and reproducibility.
The role demands deep GenAI domain expertise, architectural foresight, and direct coding involvement to ensure evaluation platforms are flexible, extensible, and optimized for real-world, large-scale use.
What you will do
Architect and lead scalable benchmarking pipelines for LLM performance measurement (latency, throughput, accuracy, cost) across multiple serving backends and hardware types.
Build optimization & profiling tools for inference performance, including GPU utilization, memory footprint, CUDA kernel efficiency, and parallelism strategies.
Develop Validation-as-a-Service platforms with APIs and self-service tools for standardized, on-demand model evaluation.
Integrate and optimize model serving frameworks (vLLM, TGI, LMDeploy, Triton) and API-based serving (OpenAI, Mistral, Anthropic) in production environments.
Establish dataset & scenario management workflows for reproducible, comprehensive evaluation coverage.
Implement observability & diagnostics systems (Prometheus, Grafana) for real-time benchmark and inference performance tracking.
Deploy and manage workloads in Kubernetes (Helm, Argo CD, Argo Workflows) across AWS/GCP GPU clusters.
Lead performance engineering efforts to identify bottlenecks, apply optimizations, and document best practices.
Stay ahead of the GenAI ecosystem by tracking emerging frameworks, benchmarks, and optimization techniques, and integrating them into the platform.

Required Principal Backend Engineer, Platform Foundations
What Youll Do:
Youll be part of the group responsible for our main products. You will impact the work of developers in the group by designing, building and maintaining the core infrastructure of our solution and leading the research and development of new technologies as well as maintaining code standards and practices.
What does the day to day of Infrastructure Engineer look like:
You will be working on our core B2B platform that serves tens of thousands of customers, serving hundreds of terabytes in production. Our backend engineers are responsible for the entire data lifecycle - from our endless datatlakes, through choosing the right serving methods and databases, all the way to our api services.
Your role will include:
Design and implement scalable backend services and libraries that are reusable and maintainable, serving as the foundation for various applications across the company.
Build and maintain tools that streamline development workflows, enabling product teams to focus on delivering business value.
Define and promote best practices for code quality, performance, and reliability, ensuring healthy production environments and rapid development cycles.
Lead the adoption and integration of AI tools to assist in code generation, testing, documentation, and debugging, thereby accelerating development processes.
Perform proof-of-concepts (POCs) on emerging technologies, including AI agents and platforms, to assess their applicability and benefits to our development ecosystem.
Drive cross-team technical projects aimed at improving infrastructure scalability, reliability, and developer experience.
Analyze and resolve complex production issues, ensuring minimal downtime and optimal performance.
Contribute to the evolution of our system architecture, ensuring it supports rapid development and scaling needs.

As a Product Manager for Intelligent Observability, youll lead the strategy to make our high-performance data platform highly reliable and easy to troubleshootbalancing rich observability with signal clarity. Your mission is to harness our telemetry to detect issues early, automate diagnostics, and build customer-facing tools like Home. By deeply engaging with support operations and Root Cause Analyses, youll turn insights into product enhancements, embedded guardrails, and best practices that reduce escalations, speed up resolutions, and improve customer satisfaction through a more resilient, self-healing platform.

Key Responsibilities:

Vision & Strategy:

Define and lead the product vision, strategy, and roadmap for advanced supportability and observability. Focus on proactive support, in-product best practices, and operational intelligence across hybrid deployments
Requirements & Prioritization:

Partner with Customer Success and Support to understand workflows and root causes of key issues, converting insights into proactive product requirements.
Collaborate across customers, field engineers, and SREs to identify needs around failure prediction, automated RCA, and early anomaly detection.
Conduct research on AIOps and competitor strategies for proactive support.
Roadmap & Execution:

Maintain a backlog focused on proactive issue detection, faster diagnostics, and support case reduction.
Drive implementation of guardrails and in-product best practices based on RCA findings.
Specify features that analyze high-volume telemetry for self-service insights and problem precursors.
Work with engineering to build analytics, ML, or AIOps features that reduce preventable issues.
Track KPIs measuring proactive support impact.
Cross-Functional Collaboration:

Partner with Engineering on scalable, real-time systems for proactive alerting.
Align with Customer Success and Support to embed tools and insights into their workflows.
Collaborate with design partners to build world leading AIOps and predictive analytics platforms.
Support Product Marketing and Documentation with content on proactive support features and best practices.
Go-to-Market & Enablement:

Lead go-to-market plans focused on proactive support benefits.
Develop training for internal teams and customers on using insights, guardrails, and best practices.