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Join a core team of experts responsible for developing innovative cyber-attack techniques for Cloud-based environments (AWS, Azure, GCP, Kubernetes) that integrate into fully automated attack simulation.
This role provides the opportunity to lead end-to-end design & implementation of advanced server-side features using a wide range of technologies: Apache Spark, Apache Airflow, Scala, k8s, Node.js (JS/Typescript) with MongoDB, Redis, Kafka, Dockers and Flink (Big Data Stream Processing)
If you are up for the challenge and you have , come and join us!

We are looking for a talented software engineer at Appdome. You will take part in developing our core API Protection product infrastructure. The challenge is to design and develop complex security components that can be integrated in a generic and flexible way for Android & IOS 3rd party applications network stacks, and integrated seamlessly and agnostically on all cloud/WAF platforms. The code is developed both on the client and server side, mainly in C /CPP but also in JAVA /OBJC and scripting languages such as Python and JS. Responsibilities
* Creatively developing, designing, and delivering new infrastructures and security features.
* Improving, testing, and debugging our current infrastructure according to customers' needs.
* Continuously learn and evaluate new technologies in the everlasting effort to perfect our product.

We're looking for a Senior Devops Engineer for our R&D team, who is passionate about application architecture, system design, and end to end implementation.
Key Responsibilities::
You will independently determine and develop architectural approaches and solutions, building automated deployment and testing environments, managing performance
bottlenecks and continuously improving the security and resilience of our platform, and act as a knowledge source for other team members. If youre a get-things-done, hands-on creative thinker and doer, this ones for you.

We are seeking a great developer who is experienced with JavaScript / TypeScript and React.js
As a full stack developer -
You will deal with the entire development-chain, Client/Server integration, source control & more.
You will be following well-known React.js workflows (such as Redux) using HTML and CSS.
You will ensure that these components and the overall application are robust and easy to maintain.

We are looking for a motivated and experienced Senior Software Engineer to join our Cloud and K8s Group. The successful candidate will possess a strong technical background in low-level systems programming and will excel in developing performant, efficient, and reliable software across multiple operating systems. Expertise in C++ and deep knowledge of Linux, macOS, and Windows internals are essential for this role, as you will be instrumental in building and optimizing our agent.
Key Responsibilities:
Design, implement, and optimize low-level system software components and libraries with a focus on performance and efficiency.
Analyze and debug complex issues related to operating system internals (kernel, drivers, memory management) across Linux, macOS, and Windows platforms.
Develop networking capabilities and optimize networking stack interactions within software modules.
Write clean, maintainable, and well-tested C++ code, while mentoring and reviewing peers contributions.
Collaborate closely with infrastructure, security, and product teams to design scalable and secure systems.
Contribute to CI/CD pipelines and automation workflows to streamline build, test, and deployment processes.
Develop and maintain scripting tools (e.g., Python, Bash, PowerShell) to support development and operational tasks.
Stay up to date with emerging technologies in systems programming, cybersecurity, and networking to continuously improve our solutions.

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.

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 Product Engineer to join a global team of a Product Engineers that own a technical success and customer satisfaction across multiple high-impact projects. This role is deeply rooted in data analytics; youll be working at the intersection of silicon, systems, and software to deliver high-value insights to customers.
Responsibilities
Performing post-silicon and system-level data analysis and providing insights on data extracted from post-silicon stages
Supporting customers with analytics platform problems solving and new features introduction
Drive integration of our companys analytics platform within customer environments, bridging silicon, test, and system-level domains.
Collaborate with R&D and data science teams to develop, validate, and improve advanced analytics algorithms.
Troubleshoot complex silicon/system issues through data-driven insights.
Partner with internal stakeholders (design, software, product) to influence roadmap and execution.
Act as a technical proffesional in customer onboarding, support, and ongoing engagement.

As formal Verification Engineer you'll own verification tasks from planning through execution, collaborating with experienced engineers across multiple teams to ensure design quality while meeting challenging timelines of the Graviton product line. This is an excellent opportunity for motivated engineers to grow their formal verification expertise in a supportive, high-impact environment.

Key job responsibilities:
Plan and execute formal verification plans under guidance from senior engineers.
Develop formal test-benches for design modules.
Debug formal verification failures and analyze root causes.
Collaborate with design and verification teams to resolve issues.
Learn and apply new formal verification methodologies and tools.

We are looking for a Senior Product Manager to lead the strategy and execution of our Firmware and Embedded Software solutions at our company.
This isnt just a role-its an opportunity to influence the future of electronics and next-generation chips. Youll work at the intersection of hardware and software, guiding innovations that will impact industries from automotive to AI.
Position location: in our Haifa or TLV offices, at least one working day at the secondary site (Hybrid model)
Responsibilities
Drive the vision and roadmap for FW and Embedded SW solutions that enable cutting-edge performance, reliability, and safety.
Collaborate with world-class engineering teams to deliver features that integrate deeply with advanced ICs.
Translate customer needs into actionable strategies and ensure successful deployments across different verticals.
Monitor and analyze product deliveries, usage, and performance to make data-driven optimization decisions.

Solutions Architects work hand in hand with our Software & Technology customers to help them make the most of the cloud. They are at the crossroads of technology and business, engaging with some of the most exciting software companies at all stages of cloud adoption. Solutions Architects also take a leading role in creating and presenting technical content and best practices. Solutions Architects own the overall technical relationship between customers and us. They work to understand the customer's business needs and provide prescriptive guidance on how to create business value with technology.

In this role, you will practice your creativity, linking technology to tangible solutions and educating our customers about the art of the possible. You will have the opportunity to define or invent cloud-native reference architectures for a variety of use cases. You will have the support to grow your expertise in industry and technology areas of depth. Every day, you will learn something new from your customers, your peers, and your own experiments.

Key job responsibilities:
As a Solutions Architect, you will work directly with customers to accelerate their projects and recommend best-practice architectures in line with their long-term business outcomes.
Educate customers of all sizes on the value proposition of us, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud.
You will own the technical relationship with the customer and operate as their trusted advisor. The best interests of the customer will shape the guidance you provide.
Share the voice of the customer to influence the roadmap of new features and services for the platform.
Create and capture best practices, technical content, and new reference architectures (e.g., white papers, code samples, blog posts).
Evangelize and educate about our technology (e.g., workshops, user groups, meetups, public speaking, online videos, or conferences).
Contribute to the growth of the Solutions Architecture organization by hiring, coaching, and mentoring others.
Develop areas of depth in technical domains such as: Generative AI and Data Analytics, relevant to your interests and your customers' outcomes.

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.