לוח משרות דרושים

Our engineering team is made of strong, all-around players. We work across the full lifecycle of our solutions from researching capabilities in GCP, Azure, and AWS to building and testing systems in Go and deploying them in client environments. We develop solutions for API-capable platforms, integrate with third-party services, and extend them with our own add-ons. Quality is key we test thoroughly to ensure stability and reliability in real-world deployments.

Our engineering team is made of strong all-around players. Our engineers work on all aspects of the system - from the orchestration of our Kubernetes clusters to inventing new algorithms that detect advanced attacks on APIs, to make our products deployments more seamless to customers.

We're looking for a Senior Backend Engineer to join the Acquisition team, as part of the Data Group.
In this role, youll play a key part in designing, developing, and maintaining our data gateway, integrating new data sources into our system, and tackling challenges related to scale, efficiency, and cost-effectiveness.
Youll also help research and define solutions to complex technical problems as continues to innovate in the SaaS security space.
Tech stack: AWS, Kubernetes, Python, Postgres, Redis, Rabbit, Kafka, Date-Lake.

We are looking for exceptionally diverse software developers for a leading team to design and develop our flagship product.

What you'll do:
Collaborate with cross-functional teams to deliver high-quality, secure, and scalable solutions.
Stay up-to-date with the latest mobile technologies and industry trends.
Design and develop a cutting-edge product, with significant impact and importance.
Work closely with exceptional people in our field.

we are looking for a team leader to lead the Data Pipeline engineering team. Our team is made up of strong, all-around players, well-experienced, highly motivated, independent, innovative, fast learners, great problem solvers, and great people to work with.

Our engineering challenges involve big data and stream processing in super high-scale environments, which keeps on increasing as the customers increase their usage and new customers join. Furthermore, we are seeking better ways to accurately analyze traffic patterns, identify attackers and attack vectors, and provide customers with improved visibility into their security posture.

We are looking for a Senior Full Stack Engineer to join our Cyber Defense group.

The successful candidate should have hands-on experience with both client and server side development.

The candidate will join our growing team of developers, data engineers and analysts who design and develop our innovative solutions to our customers.

Responsibilities
Design, architect, develop and support client side applications, as well as server side services and APIs.
Working with different data sources and databases.
Mentor other developers in our group.

Required Staff MLOps Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Staff MLOps 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 Staff MLOps Engineer 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.

We're looking for a Senior SRE Engineer who combines strong infrastructure expertise with solid programming skills to help scale our platform, who can balance operational excellence with software development.
This is an exciting opportunity to build SRE processes from the ground up - creating new reliability pipelines, monitoring frameworks, and foundational practices that will scale with our rapid growth.
You'll lead our infrastructure and reliability efforts while writing code to automate, optimize, and enhance our systems. This role requires both deep technical expertise and the ability to mentor team members as we scale.
Stack: AWS, Python, EKS, K8s, Kafka, RabbitMQ, Pulumi, PostgreSQL, Databricks, GitHub Actions
Core Responsibilities:
Design and implement scalable, reliable infrastructure solutions on AWS using Infrastructure as Code (Terraform/Pulumi).
Build and maintain sophisticated CI/CD pipelines with GitOps methodologies.
Develop custom tooling and automation scripts in Python/Go/similar languages to improve operational efficiency.
Architect and implement comprehensive observability solutions (metrics, logging, tracing, alerting).
Define and track SLIs/SLOs/Error Budgets to ensure system reliability.
Lead incident response, conduct thorough post-mortems, and drive systemic improvements.
Optimize cloud costs through data-driven analysis and architectural improvements.
Collaborate with development teams to improve application reliability and performance.
Mentor team members on SRE best practices and infrastructure design patterns.

We are looking for a highly skilled Technical Team Lead to drive two of the most critical components in our product: the Sensor and the Hybrid (our edge deployment layer).
This is a hands-on leadership role combining deep technical expertise, architectural ownership, and the ability to build a strong, distributed team.

Youll work closely with architects, product, and field engineers while playing a central role in shaping the foundation of our next-generation data collection and delivery pipeline.

What will you do?

Lead a strong technical team
Manage the data pipeline and lead the development of a Data Fetcher component to be deployed in either cloud or customer on-premise environments.
Oversee remote management and deployment processes for sensors and Edge servers at customer sites.
Research, Experiment and deploy new technologies to allow data collection from a multitude of resources facing challenging constraints.
Ensure seamless integration with multi-cloud environments, APIs, and customer-specific systems.
Develop solutions that meet SaaS standards while maintaining true on-premises functionality.
Optimize system performance (RPM, CPU usage) to ensure efficient use of resources without scaling infrastructure unnecessarily.
Help define and shape the team as a major knowledge center in the company.
Influence and build core product components that make a real impact in the field- not maintenance work.

Our Algorithm Research & Development team operates at the cutting edge of Cyber over RF (CRF) a unique and multidisciplinary field that blends signal processing, RF experimentation, physics-based modelling, and cyber research.

We work end-to-end: from early-stage research and concept development, through algorithm design and simulation, all the way to lab prototypes and real-world field testing. Its hands-on, intellectually demanding, and incredibly rewarding.

Were looking for a passionate engineer with a strong foundation in signal processing and an appetite for solving complex, real-world problems.

Required Staff Algorithm Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Staff Machine Learning Scientist, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
How youll make an impact:
As a Staff Machine Learning Scientist, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

we are looking for a Senior Full Stack Engineer to join our community!
As a Senior Full Stack Engineer, you will play a key role in designing, building, and scaling core systems and features.
You will take ownership of a new and developing product, working end-to-end from architecture through implementation to delivery.
Youll design and develop scalable backend services, build full-stack product features, and integrate with diverse external APIs.
Your work will directly impact system reliability, scalability, and performance.
Youll collaborate closely with Product, QA, Design, and DevOps teams in a fast-paced, delivery-driven environment where data and innovation guide every decision.
Tech stack: Python, React, TypeScript, AWS, Kubernetes, SQL/NoSQL databases.

Required Staff Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Staff 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 Staff Algo Data Engineer 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.