דרושים » ייצור ותעשייה » Manager Engineering - Application Analysis (Hybrid, ISR)

As a Senior Cloud Engineer in our Application Analysis group, you'll build the cloud infrastructure that powers our automatic reverse engineering engine - a system designed to analyze and comprehend software code through advanced code analysis techniques including static analysis, dynamic analysis, and data flow analysis.
What You'll Do:
You'll develop and integrate this engine into the Falcon platform, creating high-performance cloud services and data pipelines that process billions of requests daily from customers worldwide. Your work will involve leading complex projects from conception through deployment, making critical technical and architectural decisions, and developing modern production architecture at massive scale.
Working at our company's Israeli R&D center, you'll collaborate closely with experienced cybersecurity developers and our algorithm development team to integrate code analysis capabilities into the platform. You'll own your code end-to-end - from planning to development and testing to production rollout and scale-up - while working across a diverse technology stack to solve complex distributed systems challenges.
Tech Stack: Go, Kubernetes, Kafka, S3, Postgres, Redis, etc.
This is a Hybrid position open to candidates in the Israel area.

We are looking for an experienced Senior Software Engineer to join our team and help design, build, and scale the systems that power our products. In this role, you will work on high-impact projects that combine cutting-edge technology, complex distributed systems, and challenging algorithmic problems in transportation, routing, and navigation. You will have the opportunity to own features end-to-end, make key technical decisions, and shape the architecture and reliability of large-scale systems.

What Youll Do:

Architect, build, and scale robust, high-performance systems from initial design through deployment to production.
Own features end-to-end, from concept through development, testing, deployment, and maintenance, with strong accountability.
Develop features and APIs for concurrent applications in Golang.
Implement and improve geometric and graph algorithms to support core product
functionality.
Maintain Python and Java server applications, ensuring reliability and stability.
Write production-grade code that is efficient, reliable, maintainable, and optimized for performance.
Optimize application performance, uptime, and scalability, while maintaining high standards of code quality and thoughtful application design.
Run benchmarks and write analysis scripts for geographical data.

We are seeking a highly skilled Senior Networking AI Platform Engineer to join our Applied Networking AI group. In this role, you will help design and develop cutting-edge AI solutions, integrating them seamlessly into a variety of products. Youll collaborate closely with multi-functional teams of data scientists, software engineers, and DevOps professionals to ensure the efficient deployment, monitoring, and optimization of machine learning (ML) models.
As a key contributor, you will drive the entire software development lifecycle-from conceptualization and architecture to implementation and production-while working closely with engineering teams to solve complex problems and help build a successful company practice.
What you'll be doing:
Lead the design, development, and deployment of robust software systems across different platforms and environments
Architect, design, and implement scalable and high-performance software solutions, handling complex requirements and integrating various subsystems
Ensure systems are maintainable, flexible, and well-documented, with an emphasis on performance and security
Adapt to new tools, technologies, and frameworks, and be capable of taking ownership of the development process from conception to deployment
Supply innovative ideas and solutions, driving continuous improvement in both code quality and system efficiency
Develop and maintain scalable infrastructure for handling and deploying security and networking ML models in production, ensuring high availability, scalability, performance.
Design and implement data pipelines to efficiently process and transform large volumes of data for training and inference purposes.
Optimize and fine-tune ML models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.
Collaborate with data scientists and software engineers to operationalize and deploy ML models, including model versioning, packaging, and integration with existing systems.

We seek a highly motivated Network Performance Exploration Engineer to join our team of experts and help shape the foundational infrastructure for the AI revolution. Our next-generation networking systems are at the forefront of connecting and powering the world's most advanced AI clusters. As a key member of our architecture team, you will be responsible for exploring and identifying critical network optimization opportunities across our entire hardware and software stack, analyzing how system-level changes impact application-level performance.
What Youll Be Doing:
Explore and validate end-to-end application performance, defining comprehensive test plans and critical metrics to identify optimization opportunities in both hardware and software.
Establish and maintain a comprehensive database of benchmark results, tracking performance across releases to drive data-informed decisions.
Conduct deep-dive analysis into communication libraries (like NCCL), system software, and hardware configurations to investigate performance characteristics, validate architectural theories, and identify bottlenecks.
Provide critical performance data to correlate and enhance simulation tools, ensuring our models accurately predict real-world hardware behavior.
Analyze application-level traffic patterns (e.g., LLMs) on our advanced networking fabrics to identify hardware and software optimization opportunities and tune system parameters.
Lead Proof-of-Concept (POC) projects to prototype and evaluate potential hardware and software optimizations and their impact on application performance.

The ideal candidate will bridge high-level security governance with hands-on, automated security implementation across the Software Development Life Cycle (SDLC).
This individual will be a critical enabler, empowering teams to move swiftly and deliver exceptional value to our clients, all while upholding the required security standards. A proven track record in successfully balancing rapid innovation with robust security practices is essential for this role.
How youll make an impact:
As the DevSecOps Engineer, you will be responsible for creating a secure-by-design culture and leading the operational implementation of our security strategy. You will:
Build the Secure SDLC (SSDLC) Strategy: Develop, own, and execute the companys comprehensive DevSecOps strategy, focusing on automation to manage security at scale from code check-in to production deployment.
Lead Key Security Engineering Initiatives: Lead and manage security engineering programs, including:
Maturing the security tools stack (e.g., implementing WAF, and automating SCA/SAST tools).
Owning the bug bounty and responsible disclosure programs triage and remediation tracking.
Enhancing the Identity and Access Management (IAM) framework through concepts like Just-In-Time (JIT) and Zero Trust principles.
Operationalize CVE Tracking and Remediation: Design and implement a scalable system for discovering, tracking, and prioritizing Common Vulnerabilities and Exposures (CVEs) in third-party and custom code. Drive the engineering teams to achieve security risk remediation goals by providing clear, actionable data and automated patching mechanisms.
Measure & Drive Improvement: Develop and maintain key DevSecOps metrics (e.g., Mean Time To Detect/Remediate - MTTD/MTTR, percentage of code coverage by SAST/SCA tools) to measure the effectiveness of automated controls and provide a data-driven picture of the application security posture.
Embed Security Engineering: Spearhead R&D DevSecOps initiatives, partnering directly with engineering teams to select, deploy, and maintain security tools, establishing security gates and best practices throughout the product development lifecycle.

we are looking for a AI Engineer to join our R&D organization and help lead the development of AI-powered and data-driven capabilities in our Developer Productivity Platform.
In this role, you will transform data into actionable insights and intelligent models that help software teams understand, measure, and improve how they work. Youll work closely with product, data, and engineering teams to design and deliver AI and data science solutions that have real impact on developer productivity and business outcomes.

Key Responsibilities:
Design, develop, and deploy AI-driven features & data science and ML models to analyze code flows, software development processes, team behaviors, and performance metrics.
Build AI & data pipelines and analytical infrastructure that ensure data quality, accessibility, and freshness at scale.
Translate complex data into clear, actionable insights and code analysis that influence product direction and drive customer value.
Develop and maintain predictive, prescriptive, and diagnostic models to support use cases like delivery forecasting, productivity measurement, and team health analysis.
Partner with Product Managers, Data Engineers, and Backend Engineers to bring insights to life through AI & data-driven features and platform improvements.
Monitor and continuously improve model performance through experimentation, A/B testing, and user feedback loops.
Research and evaluate new AI/ML tools and methodologies to enhance the platforms intelligence and scalability.

Were looking for a talented Senior Backend Engineer to be a key team player and help us shape the future of incident management, taking an active part in the architecture, design, and implementation of new and existing features. You will be solving challenging problems and leading the practice of advanced debugging and diagnosing complex distributed systems.

What you will do:
Design and develop highly scalable services and participate in other life-cycle activities such as analysis, testing, performance, and production releases
Utilize state-of-the-art technology to solve complex software system problems
Enhance development productivity by identifying the areas for modification and innovation
Promote rapid prototyping development, proving value, and expanding where needed
Maintain a high standard of coding and introduce engineering best practices

We are seeking an exceptional Engineering Manager to found and lead a new engineering team focused on developing next-generation Data Protection capabilities.

This is a high-impact, hands-on leadership role requiring both deep technical ownership across various domains (low-level, Backend, Frontend) and people leadership and product vision. You will be responsible for defining the technical direction, building the initial product components, and growing a high-performing, multi-disciplinary team from the ground up.

What will you Do?
The new team will be responsible for rapidly integrating existing capabilities and developing new, production-grade features. This will include:

Build and Lead the Team: Recruit, mentor, and manage a team of 3-6 engineers, fostering a culture of technical excellence, accountability, and innovation.
Drive Full-Stack Technical Delivery: Own the end-to-end architecture and technical design for the entire product stack. From the creation of low-level agent components to the web application controlling it, and overseeing the delivery of the entire product ecosystem.
Product & Cross-Functional Partnership: Collaborate closely with Product Management, UX Design, and multiple R&D teams to translate high-level and long-term vision into an executable product roadmap and technical specifications.

This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an HPE office.
Job Family Definition:
The Cloud Developer builds from the ground up to meet the needs of mission-critical applications, and is always looking for innovative approaches to deliver end-to-end technical solutions to solve customer problems.
Brings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions.
Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements.
The Cloud Developer provides business value expertise to drive the development of innovative service offerings that enrich HPE's Cloud Services portfolio across multiple systems, platforms, and applications.
Management Level Definition:
Contributions include applying intermediate level of subject matter expertise to solve common technical problems. Acts as an informed team member providing analysis of information and recommendations for appropriate action. Works independently within an established framework and with moderate supervision.
Responsibilities:
Designs simple to moderate cloud application features as per specifications.
Develops and maintains cloud application modules adhering to security policies.
Designs test plans, develops, executes, and automates test cases for assigned portions of the developed code.
Deploys code and troubleshoots issues in application modules and deployment environment.
Shares and reviews innovative technical ideas with peers, high-level technical contributors, technical writers, and managers.
Analyses science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or network concerns.

We are looking for a talented Full stack Engineer with a strong backend orientation and exceptional skills to join our Harmony SASEs forefront team , which building cutting-edge, large-scale solutions that redefine cloud security and network management.

As part of our team, youll work with the latest technologies, solve complex engineering challenges, and play a key role in developing scalable and resilient backend systems. If youre passionate about innovation, cloud security, and high-performance architecture, this is your opportunity to make an impact!

a key player in the network security field, striving to provide the leading SASE platform in the market. Our innovative approach, merging cloud and on-device protection, redefines how businesses connect in the era of cloud and remote work.

Key Responsibilities
End-to-end features development including design, testing, deployment and monitoring
Contribute to technological and architectural decisions
Develop testable, reusable, and effective code to create high performance application
Analyze and improve efficiency, scalability, and stability of various components in our system
Collaborate with Designers, Product Managers, QA and Software Engineers to deliver the best product to our customers