דרושים » תוכנה » Director of Software

Were seeking a strategic and hands-on Head of Engineering to lead and scale our technical organization.
In this role, you will turn our product vision into a strong, scalable engineering foundation, build efficient processes, and drive technical excellence. You should be passionate about technology, user value, and high-quality execution. Success means challenging assumptions, diving into details, and shaping both the product and the team that builds it.
Responsibilities:
Lead and scale of 20-30 engineering organizations (Frontend + Backend) through two Group Leads.
Own the technical strategy and roadmap, ensuring strong alignment with product goals and long-term company vision.
Design and oversee scalable, reliable system architecture across image processing, AI model serving, and data pipelines.
Remove bottlenecks to improve development velocity and overall engineering efficiency.
Drive hiring, mentoring, career development, and a culture of ownership and excellence.
Roll up your sleeves when needed and set the standard for hands-on technical leadership.
Enforce engineering best practices across code quality, CI/CD, testing, deployment, and observability.
Partner closely with Product, AI/ML, and Design teams to translate business needs into technical solutions.
Make key technology decisions and evaluate new tools, frameworks, and services.
Define and track engineering KPIs to ensure system performance, uptime, and team productivity.

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.

We are looking for an Engineering Manager for our Tel Aviv site.
The Prisma Access Browser (PAB) team builds the Enterprise Browser, a secure and seamless
platform that acts as a shield for businesses online activity. It protects against cyber threats by
isolating web sessions, filtering malicious content, preventing data leaks, and centrally
managing security policies. Our multi-layered approach secures data while providing a superior
user experience across both frontend and backend layers.
Were looking for a manager with strong technical depth in both backend and frontend
engineering who can guide full-stack teams, balancing distributed systems, cloud
infrastructure, and modern web application development
Your Impact
Lead a team of 5-10 engineers building high-scale backend services and modern frontend applications, ensuring seamless integration between client and server.
Own project delivery across the full software lifecyclefrom frontend user experience and design systems to backend scalability, reliability, and monitoring.
Drive technical strategy and architecture for core PAB services, including data ingestion, processing, and real-time user interactions.
Partner with Product, Architecture, Design, and SRE teams to ensure performance, reliability, security, and usability at scale.
Encourage engineering best practices in CI/CD, observability, automated testing, and accessibility.
Grow and mentor a high-impact full-stack engineering team through coaching, feedback, and career development.
Promote a culture of innovation, inclusion, and continuous improvement within the team.
Identify opportunities to improve system performance, frontend usability, and cross-stack development workflows.

Were looking for an experienced and visionary VP of R&D to lead and scale engineering organization. This is a key leadership position, reporting directly to the CTO, responsible for driving technical strategy, execution, and delivery across multiple product lines.
You will lead our delivery teams, work closely with Product and Architecture, and ensure we build a secure, scalable, and innovative cloud-native platform.
As part of the management team, you will shape company strategy, influence culture, and take ownership of production environment and overall R&D success.
Responsibilities:
Lead R&D organization, including multiple engineering teams, architects, and managers.
Drive execution and delivery of core platform and new product initiatives.
Collaborate with Product to plan, prioritize, and deliver features from concept to production.
Oversee production stability, performance, and security, ensuring smooth operations at scale.
Guide technical direction and architecture decisions across the platform, addressing challenges in multi-tenancy, scaling, and cloud-native systems.
Mentor and develop managers and engineers, creating a culture of ownership, accountability, and excellence.
Recruit and structure the R&D organization for the next phase of growth, attracting top talent and building an elite team.
Champion innovation and experimentation, encouraging teams to push the boundaries of whats possible.
Partner closely with the executive team to align R&D with business strategy and deliver measurable impact.

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.

Were looking for an inspirational and experienced Director of R&D to lead our Talent Group, focused specifically on our companys Sellers journey. This is a critical leadership role that combines strategic technological oversight with a commitment to fostering a world-class engineering culture. You will be instrumental in defining and executing the technology roadmap, working closely with the VP of R&D and the Talent business leaders to ensure our sellers experience is powered by cutting-edge technology and a deeply embedded AI-first approach.
What am I going to do?
Lead and Mentor: Oversee and mentor multiple team leads and their respective engineering teams, driving high performance, accountability, and professional growth across the domain.
Set Technological Vision: Define and drive the technology roadmap for the Talent group, ensuring all systems are scalable, reliable, and leveraging the latest advancements in AI and data-driven solutions.
Drive AI Innovation: Champion an "AI mindset" across all teams, leading the charge in integrating hands-on AI tools into product development and internal processes.
Cultivate Culture: Partner closely with the VP of R&D and senior management to nurture a positive, inclusive, and high-velocity engineering culture built on technical excellence.
Strategic Collaboration: Work cross-functionally with Product, Design, and Platform to translate business objectives into impactful technical strategies and deliver tangible value to our companys sellers.

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.

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 proud to be expanding our leadership team with a VP of Engineering & GM to lead our Israel office and the Enterprise engineering team in Tel Aviv. This is a mission-critical part of our global engineering organization. Youll oversee a growing team of 50+ engineers and partner closely with Product, Security, and GTM teams to ship high-impact and high-quality cybersecurity solutions.

As well as being a technical leadership role, youll serve as the General Manager of our Israel office, shaping the culture, operations, and global connectivity of the site. Youll play a key part in shaping how our globally distributed teams work together bringing alignment, clarity, and cohesion across time zones and functions.

Youll partner closely with our CEO, CTO, and SVP of Engineering, navigating seamlessly across multiple senior stakeholders while driving both local excellence and global alignment. With deep technical expertise in cybersecurity and AI, and strong operational and commercial presence, youll play a pivotal role in building a safer, more human Internet.

This role reports to our SVP & Global Head of Engineering and is based in Tel Aviv.

Responsibilities

Engineering & Technical Leadership
Lead, grow, and mentor a 50+ person R&D team based in Tel Aviv, covering backend, frontend, data engineering, and more.

Set high standards for software design, architecture, performance, and reliability.

Work closely with Product and Research teams to define and deliver on our product roadmap.

Collaborate with global Engineering peers to drive cohesive execution, system design, and technical decision-making.

Drive innovation in AI/ML and modern security architectures, ensuring we remain at the forefront of defending the internet.

Technical Brand & Thought Leadership
Contribute to our external technical brand through blogs, conference talks, open-source contributions, or community leadership.

Be a culture carrier for engineering excellence and cross-functional collaboration.

Expand the Engineering brand in Israel and globally as a thought leader in cybersecurity and AI.

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.