דרושים » ניהול ביניים » Senior Software Engineer, GenAI Security- Prompt Security

Required Sr. Software Engineer - Browser Extension, Data Protection (Hybrid, ISR)
About the Role:
As a Software Engineer in the Browser Protection team, you will play a key role in building a browser protection platform focused on holistic security protection, including: data protection, data loss prevention, Identity protection and SaaS security. In this role, youll be responsible for developing our next-gen browser protection solutions, that integrate seamlessly with our security platform and leverages our agent. The product provides real-time protection against data leaks, unmanaged devices risk, insider threat, unauthorized data access, and other security risks. Working in close collaboration with our cross-functional team, youll leverage your expertise to build a high-performance, secure browser solution and extension that ensures user data is safe without impacting browsing experience. This position offers a unique opportunity to influence the future of data protection technology by delivering an extension that empowers users and protects them in todays dynamic digital landscape.
What You'll Do:​
Design and implement CRWD browser protection suite, including browser extensions (e.g., Google Chrome, Edge etc. ), leveraging our endpoint sensor and Leverage in-depth chromium knowledge to develop cybersecurity capabilities within the browser
Own features from design to delivery
Impact product roadmap and architectural design
Collaborate with multi-functional team in various physical locations
Troubleshoot issues with the product as reported from customers responsively.

Required Senior Software Engineer KSPM Team
About the role
As a Senior Software Engineer on the KSPM (Kubernetes Security Posture Management) team, youll be part of a mission-critical group responsible for building and scaling one of the companys fastest-growing products. Our team helps customers secure their Kubernetes environments across major cloud providers by offering deep visibility into misconfigurations, compliance risks, and security best practices.
Youll contribute to a high-impact codebase that scans, analyzes, and interprets complex Kubernetes configurations and behaviors at scale. This is a unique opportunity to shape the future of our KSPM product owning core backend components, driving architectural improvements, and delivering features that address real-world customer needs.
Were looking for engineers who are passionate about infrastructure, cloud security, and solving challenging problems at scale, and who want to make a meaningful impact on the security of modern, cloud-native systems.
Our Stack: Python, Go, K8s APIs, SingleStore, Postgres, Redis, Kafka, AWS, GCP, Azure, ElasticSearch
On a typical day youll
Design, implement, and maintain scalable backend services for onboarding, scanning, and analyzing Kubernetes environments
Collaborate with security researchers and product managers to translate complex requirements into impactful product features
Write clean, efficient, and testable code, ensuring high performance and reliability
Participate in design and code reviews to uphold technical excellence and team standards
Lead features end-to-end from design and planning to deployment and monitoring
Improve system observability, performance, and resilience in production environments
Work closely with cross-functional teams to continuously enhance product capabilities and customer value
Stay current with developments in the Kubernetes ecosystem and cloud security landscape.

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.

Were looking for a Senior Fullstack Engineer to join our Unified Analytics Team, which builds an AI-driven product that turns raw data into meaningful insights for our customers.
This is a backend-focused role with ownership of system design, data enablement, and end-to-end development. Youll build and automate backend services across a broad tech stack, design scalable data workflows, and deliver clean, reliable UIs in React to support new features. Youll also help maintain our UI infrastructure and work closely with data analysts to turn requirements into production-ready solutions.
Were seeking someone with a strong blend of Fullstack and Data Engineering experience, who can operate independently in a team of mostly data professionals, and who is comfortable driving a product from architecture through implementation to delivery.

What will you do:
Design and build scalable backend services and system architecture for our Unified Analytics platform.
Develop services and APIs across a broad tech stack (Node.js / Java / Python) that power customer-facing analytics.
Create and optimize data workflows, integrating with tools such as Snowflake, MongoDB, and Kafka.
Implement AI-driven features and automation to enhance customer insights.
Build and maintain React-based UIs, including shared components and UI infrastructure.
Collaborate closely with Product, Data, and Engineering teams to translate requirements into robust, production-ready solutions.
Own features end-to-end-architecture, development, deployment, and ongoing reliability in production.

Were looking for a Senior Software Engineer to join our growing R&D team. In this role, you will play a critical part in designing, building, and optimizing complex systems that power our AI-driven platform.
Youll work across the stack- primarily on backend services - with opportunities to influence architectural decisions and build highly scalable and performant systems.
Youll collaborate closely with AI, product, and frontend teams to bring advanced features to life and ensure a seamless, intelligent experience for our users.
This is a high-impact role for someone who is passionate about engineering excellence, eager to shape systems end-to-end, and ready to grow with a fast-moving, AI-first company.
Key Responsibilities:
Design, develop, and maintain robust backend systems and services.
Ensure the scalability, performance, and security of backend components.
Collaborate with front-end developers and data teams to integrate user-facing elements with server-side logic.
Optimize the platform's infrastructure to handle large-scale data processing and analysis.
Troubleshoot and debug complex issues, identifying and implementing the most effective solutions.
Contribute to the architecture and system design decisions for the backend infrastructure.
Stay up to date with industry trends and new technologies to continuously improve backend performance.

we are looking for a Senior Software Engineer - Platform Team.
As a Senior Software Engineer you will help deliver a smooth and consistent developer experience to our product/AI teams.
This enables them to iterate quickly and deliver products faster to the market. The team aims to streamline development processes, reduce friction and provide developers with the right tools and infrastructure to build high-quality software efficiently which effectively aligns technical execution with our business objectives.
Our techstack includes AWS, Python, RDS, EKS, ECS, RMQ and Redis.
You will:
Have a direct impact on devs' daily smile :) , by focusing on their Devex and velocity through implementing and providing easy and intuitive self serve tools
Lead the design and implementation of infrastructure of complex, time-critical microservices systems, collaborating with AI, data, and product teams to ensure high-quality code using latest technologies while maintaining high developer velocity.
Drive improvements to backend infrastructure, focusing on scalability, reliability, and performance to enhance the daily experience and productivity of developers, including implementing intuitive self-serve tools.
Contribute to defining and realizing the technology vision of the company, evaluating and integrating new technologies to enhance platform capabilities including Gen AI, and troubleshooting complex issues to ensure platform performance and availability. Proactively establish and maintain CI/CD practices and processes including hybrid envs.
Enhance system scalability, performance, and reliability.

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.

we are looking for a DevOps Engineer.
As a Senior DevOps Engineer in our Cloud Applications team, youll play a key role in shaping and scaling our internal tools and cloud infrastructure. Youll design and implement robust CI/CD systems, build developer tools that streamline delivery and operations, and champion best practices in automation and reliability.
Youll collaborate closely with developers, DevOps colleagues and other engineers to ensure our services are efficient, secure, and highly available. This is a hands-on role with high visibility, technical ownership, and the opportunity to drive innovation across our engineering organization.
What You'll Be Doing:
Own and evolve our CI/CD platform - maintain and improve pipelines that enable rapid, reliable, and safe delivery of applications to production.
Develop and enhance our internal tooling ecosystem - design and implement automation tools that empower developers and simplify operational workflows.
Design and maintain umbrella Helm charts - manage reusable and scalable Kubernetes deployments, ensuring best practices in configuration management.
Contribute to system reliability and performance improvements - through observability, metrics, and continuous optimization.
Collaborate and support development teams - act as a trusted advisor by providing training, documentation, and guidance on how to best use our platform and tools.
Troubleshoot and resolve infrastructure issues - apply deep debugging and problem-solving skills to maintain platform stability and performance.

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.

our company Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our company Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Be responsible to engage with internal customers (Dev Oncallers, Site Reliability Engineering (SRE), Support) to identify critical tooling and data gaps in their networking investigation workflows.
Leverage expert knowledge of cloud networking data paths and implementation. Define, design, and drive the execution of high-impact troubleshooting solutions.
Set the team goal and roadmap, organizing task assignments, mentoring team members, and collaborating with cross-functional tech leaders to ensure successful system integrations, ultimately owning the overall health and reliability of the system and acting as a final escalation point for complex customer issues.