דרושים » תוכנה » Senior Rust Software Engineer - Data Classification (Cortex Cloud)

We are looking for a Senior Engineering Manager to lead Data Security teams, one of the most technically complex and cross-functional areas within Cortex Cloud. This role combines hands-on technical depth (systems programming, distributed cloud architectures) with managerial excellence, guiding teams that build scalable data-security services running at massive cloud scale.
You will drive the design and development of systems that classify, protect, and make sense of customer data across multi-cloud environments. You will lead teams and managers, partner closely with product, collaborate across Cortex and PANW business units, and be accountable for delivering roadmap commitments with speed and precision.
Your Impact
Lead, mentor, and grow multiple engineering teams and managers within the DSPM domain.
Own the full SDLC - from translating product strategy into actionable roadmaps to ensuring flawless execution and on-time delivery.
Engage directly with strategic customers to lead technical deep-dives, architecture reviews, and roadmap discussions.
Set high engineering standards for quality and security while building a culture of accountability and continuous improvement.
Build a culture of accountability, ownership, and continuous improvement.
Oversee the architecture of scalable, distributed systems (primarily Python & Go) capable of processing data at petabyte scale.
Guide teams on building high-throughput pipelines and cloud-native microservices.
Ensure efficient deployment, observability, and runtime stability in production environments.
Partner closely with Product Managers and cross-functional groups (Infra, Research, UX) to define priorities and build multi-quarter roadmaps.
Align stakeholders across business units and communicate tradeoffs, risks, and execution plans with clarity.

Required Senior Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior Algo Data Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

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 Description:
We are looking for a highly skilled Senior Data Engineer with strong architectural expertise to design and evolve our next-generation data platform. You will define the technical vision, build scalable and reliable data systems, and guide the long-term architecture that powers analytics, operational decision-making, and data-driven products across the organization.
This role is both strategic and hands-on. You will evaluate modern data technologies, define engineering best practices, and lead the implementation of robust, high-performance data solutionsincluding the design, build, and lifecycle management of data pipelines that support batch, streaming, and near-real-time workloads.
What Youll Do
Architecture & Strategy
Own the architecture of our data platform, ensuring scalability, performance, reliability, and security.
Define standards and best practices for data modeling, transformation, orchestration, governance, and lifecycle management.
Evaluate and integrate modern data technologies and frameworks that align with our long-term platform strategy.
Collaborate with engineering and product leadership to shape the technical roadmap.
Engineering & Delivery
Design, build, and manage scalable, resilient data pipelines for batch, streaming, and event-driven workloads.
Develop clean, high-quality data models and schemas to support analytics, BI, operational systems, and ML workflows.
Implement data quality, lineage, observability, and automated testing frameworks.
Build ingestion patterns for APIs, event streams, files, and third-party data sources.
Optimize compute, storage, and transformation layers for performance and cost efficiency.
Leadership & Collaboration
Serve as a senior technical leader and mentor within the data engineering team.
Lead architecture reviews, design discussions, and cross-team engineering initiatives.
Work closely with analysts, data scientists, software engineers, and product owners to define and deliver data solutions.
Communicate architectural decisions and trade-offs to technical and non-technical stakeholders.

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructuresomeone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacksits about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakesdesigned for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object storebacked data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

At our company, we are committed to building a safer digital future. As a Senior Software Engineer in Cortex Cloud, you will work at the forefront of cybersecurity innovation, building cloud-native solutions that protect some of the largest organizations in the world. This is a unique opportunity to be part of a team building a new product from the ground up, shaping the architecture, technology stack, and engineering practices from day one.
Youll not only write great code youll influence product strategy, design scalable systems, and help drive key decisions that will shape the future of cloud workload protection.
A key part of this role is championing and leveraging the latest generative AI tools and assistants (such as Gemini) in your day-to-day engineering workflow. We expect you to utilize these advanced tools to accelerate the development lifecyclefrom ideation and coding to root-cause analysis, testing, and system optimization.
Key Responsibilities
Play a key role in building cloud-native security features that protect real-world workloads from malware, secrets exposure, and other threats
Lead the development of major features from product discussions and technical design to implementation and testing
Design and build scalable backend services using Golang and modern cloud-native technologies
Research and integrate new technologies to improve detection, performance, and platform capabilities
Help define best practices and drive engineering excellence across the team.

We are looking for a versatile Senior Software Engineer for the DPU Platform team. This position offers the opportunity to have real impact in a multifaceted, technology-focused company affecting product lines that empower the most advanced data centers in the world. Using your deep knowledge of embedded platforms, operating systems, and software distribution technologies, you will work with a world-wide development team to solve the unique challenges of delivering the world's most powerful platforms.

What you'll be doing:

Develop system software components including processor firmware and bootloaders, kernel drivers/modules, and user space applications and libraries

Collaborating with hardware and product design teams to develop software for sophisticated SOC platform designs.

Assisting world-wide teams with various customers' and internal DPU projects.

Tackle complex system-level optimization and resource utilization challenges.

Participate across all levels of product development lifecycle that values high-standards for clear requirements, software quality and performance.

Collaborate within a worldwide matrixed software development team, and have broad impact within our highly-dynamic and technology-focused company.

We have improved AI infrastructure by merging GPU virtualization with Kubernetes-native tech to power innovative AI factories. We aim to speed up enterprise AI projects with smart orchestration, and scalability for AI workloads. Seeking a skilled Senior Software Engineer for our Infrastructure Group to innovate AI technology. The Infrastructure Group is tasked with composing and evolving the core systems responsible for thousands of GPUs and nodes driving enterprise AI. We invent the foundation that facilitates elastic, secure, and observable AI operations at extensive scale. We are seeking engineers who are passionate about distributed systems, modern cloud-native infrastructure, and AI performance optimization.

What youll be doing:

Crafting and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.

Building and optimizing microservices-based architectures using Kubernetes and cloud-native technologies.

Collaborating closely with backend engineers, product managers, and other partners to deliver impactful solutions.

Writing clean, maintainable, and testable code in Go, contributing to our CI/CD pipelines.

Conducting code and build reviews to uphold high-quality standards and mentor team members.

Leading the development and implementation of advanced identity management systems that secure our innovative AI and GPU cloud.

Developing scalable multi-tenant solutions that allow our diverse clientele to harness the power of our platforms securely and efficiently.

Collaborating with multi-functional teams to integrate identity and access management features seamlessly into our products, from cloud services to edge computing devices.

We are looking for a highly talented technical individual to join the Cortex XDR infrastructure team.
The team is responsible for developing automation infrastructure and various cloud based tools and platforms that are used across the research, development and QA departments to ensure the functionality, stability and quality of the XDR product, alongside the efficiency of the infrastructure and process used to build, test and deploy on various clouds and distributions. We believe that the platforms & infrastructure that the team provides are a critical & crucial part of our department's progress to the modern future and one of our key growth factors.
As a Platform engineer you will play a pivotal role in enhancing our development and automation experience by pushing forward modern automation approaches, eliminating manual efforts and introducing new development operations for continuous integration, scale & durability using advanced cloud services. Your expertise will be used in areas such as infrastructure development, cloud based automation, serverless infrastructure, automation as a service, providing technical guidance, and pushing infrastructure\configuration as a code and GitOps approach across the development departments.
To succeed in this role, you should have a strong foundation in modern cloud based automation methodologies and a comprehensive understanding of industry best practices, especially in redundancy and scalability of large systems and the ability to control them via SCM based declarative configs. You should be familiar with modern public clouds approaches and serverless based architectures, including virtualization containers and container based orchestration including multiple Kubernetes based deployments. You should be comfortable engaging in complex technical discussions and advocating for optimal solutions in a fast-paced growing environment as part of our quest for continuous improvement.
Your Impact
Utilize modern technologies including serverless cloud services, Kubernetes, Terraform, among others, and use them all in an infrastructure/configuration as a code GItOps approach to manage everything via source code and continuous integration processes
Design and implement (hands on) the next generation of platforms, automation frameworks, SDKs, and tools to be used across our entire R&D group, and be part of our infrastructure transition to the cloud
Develop and maintain a cloud based test execution system, that supports parallel executions on multiple operating systems and multiple cloud providers and at a very large scale, and by so helping reduce the amount of effort required to perform automatic testing and manual testing, and reduce time to market
Provide tools, systems and simulators for scaling up all lifecycle phases of our products and services including cross company and third party integrations and frameworks to be used in high scale
Introduce progress and help revolutionize our operations and lay the foundation for innovation and growth.

We are looking for a senior backend engineer who is truly cross functional possesses strong engineering foundations for developing highly performant services.
The ideal candidate will have a deep understanding of algorithms and Python fundamentals, as well as an understanding of the capabilities and limitations of LLMs.
They will be able to quickly collaborate with their product counterparts to iterate over new, cutting edge features and capabilities and get them to the hands of our users.
Collaborating closely with product teams, they will quickly ideate, develop and deliver innovative features and capabilities to our users.
If you have the skills and experience we are looking for, we encourage you to apply for this exciting opportunity to join our team and make a significant impact on the future of AI.
Role and Responsibilities:
Build the framework used to supercharge our algorithm teams to write scalable, performant algorithms
E2E ownership of production services, databases and infrastructure
Work in fast iteration loops with business/product managers to architect and deliver new products and capabilities
Drive the architectural design, including dependent services and service interactions (APIs & SDKs)
Apply judgment and experience to balance trade-offs between competing interests and optional solutions, considering profiling data to inform decisions on performance and resource utilization
Help with coaching and mentoring team members, and maintaining high standards of software quality within the team.

Were looking for an experienced Software Engineer to join the company AppSec team. In this critical role, you will work with an excellent group of engineers to solve architectural and engineering challenges across both inline and out-of-band security. As part of the role, youll also have the opportunity to work with advanced ML technologies - both in the cloud and on our own GPU-powered infrastructure - to further enhance and accelerate our security capabilities.
Responsibilities:
End to end development from the processing of large-scale data to web interfaces.
Working closely with multiple stack holders - product management, research, data science, SOC & NOC services, and automation teams.
Designing and Implementing enterprise platform solutions.
Researching new technologies and adapting them for use within the companys product.
Collaborating with multiple development teams.