דרושים » תוכנה » Senior Manager Software Engineering - Data Security (Cortex Cloud)

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.

At our company, we lead the way in cybersecurity innovation. Our Cortex XDR and Cloud Workload Protection (CWP) product offers a holistic solution that protects your entire digital infrastructure, from user endpoints to cloud environments. We deliver comprehensive, end-to-end security by monitoring and analyzing everythingfrom endpoint activity and user behavior to network traffic, cloud workloads, and containers. Through continuous threat detection and proactive incident response, we offer a unified approach to Extended Detection and Response (XDR), ensuring the identification, analysis, and prioritization of security risks across your entire enterprise.
As the Software Engineering Sr. Director, you will lead multiple backend engineering teams and groups dedicated to building and maintaining our industry-leading cybersecurity products. You will define and drive the vision and strategy for software development, ensuring the highest delivery standards of quality, security, and scalability. In close collaboration with product management, platform teams, and security researchers, you will guide the delivery of innovative, reliable solutions that address the evolving needs of our customers. A key part of your mission will be to harness AI-embedding AI-powered capabilities into both our products and engineering practices to secure the future of software development.
Key Responsibilities
Engineering Leadership: Lead and mentor BE engineering teams, driving recruitment, retention, and talent development. Foster a culture of collaboration and innovation
Product Development: Oversee the design and delivery of secure, scalable software solutions, ensuring best practices in security throughout the development lifecycle
Collaboration: Work closely with product, security research, endpoint engineering and platform teams to align engineering with business goals and customer needs.

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.

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.

As a Senior Software Engineer, you will play a critical role in architecting and developing cloud based core services and infrastructure with a strong emphasis on clean code, performance, observability, monitoring, and security. This role also includes developing core Go/Java libraries, cross-cutting services like authentication and authorization, Kubernetes deployments, billing etc. You will collaborate closely with engineering teams, DevOps, architects, and product managers to ensure a scalable, stable, and high-performing system.

As a Senior Software Engineer ML you will...
Write clean, maintainable, and efficient code following best practices.
Design and develop robust backend services with scalability, performance, and security in mind.
Conduct high-quality code reviews and architecture discussions, ensuring best practices are followed.
Take full ownership of projects - from ideation and design to production deployment and maintenance.
Collaborate with cross-functional teams to define, design, and ship new features.
Stay current with industry trends, technologies, and best practices in software development and cybersecurity.
Be involved in multiple aspects of an ML platform - from data sources to inference pipelines.

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.

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 seeking a Senior Engineer for Cloud Security Product Group.
Were extending our mission of stopping breaches into the public cloud and cloud-native workloads. Our product offering will give customers the ability to monitor and track their cloud-native workloads as well as hardening and protecting them against attacks prior to deployment. This offering will help with defending against potential adversary activities involving cloud-native resources. When coupled with Falcon, Our endpoint security offering, our CSPG offering will provide a more comprehensive perspective on how the adversary is targeting key customer infrastructure. Our ultimate goal is to provide a single platform for securing the entire lifecycle of cloud workloads and cloud security posture.
What You'll Do:
Lead backend engineering efforts from rapid prototypes to large-scale applications across our products
Leverage and build cloud-based systems to detect targeted attacks and automate cyber threat intelligence production at a global scale
Brainstorm, define and build collaboratively with members across multiple teams
Work in a startup-like environment with a small fast-moving team
Be mentored and mentor other developers on backend, and data storage technologies and our system
Constantly re-evaluate our product to improve architecture, knowledge models, user experience, performance and stability
Be given the autonomy to own your work in a high trust environment
The technology stack youll use will include:
Go (Golang)
AWS/GCP/Azure
Kubernetes
Kafka
Cassandra
ElasticSearch
Postgres
Redis.

A leading large-scale ad network at the forefront of advertising technology. We are looking for a highly skilled and experienced Senior Software Engineer to join our backend team.
In this role, you will leverage your expertise in distributed systems, data engineering, and software development to design, build, and deploy high-performance solutions. You will take a leading role in developing and maintaining a cutting-edge online machine learning system powered by PyTorch/Tensorflow models and Triton inference server.
This is an opportunity to work on complex, large-scale systems that serve billions of requests, shaping the future of ad tech and ML-driven optimization.
What you'll be doing
Architect and Build: Design, develop, and deploy robust, scalable, and high-performance distributed systems that form the backbone of ironSource's next-generation ML ad network.
Real-Time Ad Serving: Engineer and optimize critical systems for real-time ad serving, enabling machine learning models to make intelligent, low-latency decisions for optimal ad selection.
ML Infrastructure Innovation: Drive the evolution of our ML capabilities by researching, evaluating, and implementing cutting-edge techniques for feature stores, data aggregation, and model serving infrastructure.
Data Pipeline Engineering: Collaborate closely with data scientists and product managers to design, build, and maintain efficient and reliable data lakes and data pipelines, ensuring high-quality data for ML training and analytics.
Operational Excellence: Take ownership of key system components, ensuring their reliability, performance, and scalability in a production environment through proactive monitoring and continuous improvement.

Required Senior Software Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Software Engineer in the Advertiser Solutions Core group in our Tel Aviv Office, youll be a technical leader and key contributor to our product and engineering roadmaps. You will influence critical decisions that affect millions of users daily, setting the technical direction for one of the largest real-time big data operations in the world, supporting over 140TB of new data every day.
How youll make an impact:
Acting as a key technical leader for the group, guiding the architecture and design of complex, business-critical systems that empower our advertisers to manage their budgets and optimize performance.
Driving development by being hands-on, personally writing code for the most complex and critical system components and setting a high bar for code quality and best practices.
Driving the technical strategy for building highly scalable and reliable solutions to process and analyze vast amounts of data, enabling actionable insights for advertisers.
Leading and mentoring engineers working on a large-scale, high-throughput recommendations system, influencing the way billions of people discover the internet.
Making high-stakes architectural decisions for one of the largest real-time big data operations in the world, responsible for over 140TB of new data every day.
Fostering a culture of technical excellence and end-to-end ownership; setting standards for how we design, build, ship, measure, and maintain our products at scale.
Serving as a key technical partner to product managers and other engineering leaders, translating complex business goals into a tangible, multi-quarter technical roadmap.
Our Tech Stack:
Java, Spark, Kafka, HDFS, K8S, Helm, Docker, Vertica, MySQL, BigQuery, Airflow, Prometheus, Grafana, Cassandra, Memcached, Druid.