לוח משרות דרושים Principal Engineer

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.

Were looking for a Principal Product Manager to own the product throughout the product lifecycle, gathering and prioritizing product and customer requirements, defining the product strategy and go-to-market, and working closely with Engineering to deliver winning products with great user experience that customers love. It also includes working with customers, Sales, Marketing and Support to ensure revenue and customer satisfaction goals are met.
As a Principal Product Manager you will
Lead initiatives involving several Product Managers and teams from the different cores delivering cross-product value.
Own the full cycle of product development including ideation, competitive analysis, client validation, discovery with R&D, spec writing, launching and monitoring.
Work alongside Product Analysts, UX/UI, Product Marketing and other functions in the organization to drive successful products and feature rollouts.
Build positive relationships and trust through strong cross-team interactions and get buy-in for the product vision across internal and external stakeholders.
Identify, design, experiment, and iterate on product decisions by leveraging data and evidence gathered from customer usage and interviews, market research, and usage/adoption metrics.

We are seeking a seasoned Senior Product Manager to drive the roadmap and execution of our cybersecurity product portfolio. , product management is viewed as an engineering discipline. It involves developing a deep understanding of the true nature of customer pain points, considering their ability to act based on process, people, and technology. Simultaneously, it requires an awareness of the company's current capabilities and a vision for where the company and product need to be to truly empower the market to better protect low-code/no-code applications. This is an excellent opportunity to take ownership of the product life cycle in a fast-paced startup environment.

As a Principal Product Manager, you will:

Become an expert in low-code/no-code security, own major pillars in our product portfolio, and play a critical role in shaping the strategic direction of our security product offerings.
Work closely with our customers to ensure our products deliver real value and identify opportunities for continuous improvement.
Collaborate with our engineering and research teams to deliver products that empower application security professionals to secure low-code/no-code applications without requiring deep expertise.
Take the lead in integrating AI and generative AI technologies, such as Copilot, into our product offerings to enhance security and user experience.
Report directly to the VP of Product Management, offering you the opportunity to lead an emerging security product category and create clarity that enables our customers to integrate business development within the security framework.
Join a team that leads the market, focusing on what truly matters to our customers. If you're ready to be a part of a team that is defining the future of low-code/no-code cybersecurity, join and play a key role in shaping the future of this industry.
Define features and own their backlog, working closely with engineering, research, and product marketing teams to align on trade-offs and drive successful delivery.
Communicate clearly about projects, risks, and accomplishments on behalf of the team.

We are looking for a passionate, motivated, and innovative Principal Data Scientist, to join our innovation department.
What your day will look like:
Be part of the founding data-science team, implementing new and exciting features, end-to-end, along with the product team, focusing on the algorithmic and machine learning aspects embedded in all our products.
As part of the founding team, you will be able to grow as a data scientist and define the theoretical and technical directions, and you will enjoy a lot of autonomy, responsibility, and ownership.
Apply your scientific knowledge and creativity to analyze large volumes of diverse and unstructured data and develop algorithmic solutions and models to solve complex problems.
Characterize and break down product use-cases effectively, choosing the right formalization and tools to best tackle them.
Research, design and apply advanced data processing technologies and methodologies, from a research playground to production. Contribute best practices to our backend applications and help pick the right frameworks and tooling for next product.
Work closely with other team members, such as backend developers, product managers and data engineers, across all groups and departments.
Build and promote quick prototypes/POC/demos to conceptualize innovative ideas
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms and machine-learning models in a production environment and then monitoring and maintaining them.
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue.

We are looking for a Principal Software Engineer to join our team and revolutionize the way our system is built.

What your day will look like:
The correlation team is an integral part of the platform group, focused on developing and enhancing the core algorithms that power the products.
As a part of this team, you will be at the forefront of innovation, driving the development of the "Correlation" engine, a proprietary secret sauce algorithm, central to the platform's data-related capabilities, and fortified by a portfolio of patents.
As a Principal Software Engineer on the correlation team, you will lead the research, design, and implementation of the cutting-edge algorithms and infrastructure that drive the Platform. You will strategize and execute engineering efforts to achieve high scalability and performance. This role offers a unique opportunity to contribute to groundbreaking technology and shape the future of cybersecurity asset management.
Responsibilities:
Be a key member of the R&D team, solving and implementing complex engineering challenges.
Leading end-to-end implementations of technologies at the core of product.
Research solutions using data
Be hands-on: conduct research, perform POCs, and solve complex engineering challenges.
Contribute best practices and architectural leadership to our backend applications

we are seeking a Principal 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.
More information about XSOAR, here.
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.

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.
More information about XSOAR, here.
Your Impact
Endtoend 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 teamwide efforts code reviews, design reviews, technical and architectural decisions
Production oriented approach with providing real time mitigation and solutions to production issues
Participate in a rotational on-call schedule to ensure the smooth operation of our production systems and provide real-time support for critical issues.

ShiftLeft is building the cloud security platform for developers (CAS). Our platform empowers teams to find, fix, and prevent security risks in application code and infrastructure as code through automation and security-as-code principles. We're looking for a skilled Principal Backend Developer to join our team and contribute to our Cortex Cloud platform.
As a Principal Backend Developer, you'll play a key role in developing and enhancing our code security products. You'll be responsible for building robust, scalable backend features and ensuring the performance and reliability of our systems.
Your Impact
Product Development: Build and enhance code security products
Feature Development: Design, develop, and deploy complex backend features end-to-end, from requirements gathering to production deployment
Scalability and Architecture: Design and implement scalable architectures to support high-volume environments
Performance Optimization: Optimize system performance, troubleshoot bugs, and ensure efficient workflows
Data Management: Take ownership of the data persistence layer and optimize database systems (including knowledge of BigQuery).