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Are you a super-talent Senior Software Engineer with a deep passion for cybersecurity and a profound understanding of AI-driven attack techniques? We are looking for a highly professional and responsible R&D member to join our team.
This role is for someone who thrives on technical challenges and is ready to leverage their expertise to identify, analyze, and defend against advanced cyber threat
Responsibilities:
As a Senior Software Engineer in R&D, you will be a key player in the design, development, and deployment of our cybersecurity platform. Your responsibilities will include:
Leading the research and implementation of techniques to identify and mitigate AI-related attack methods, such as data manipulation and adversarial attacks on security systems.
Developing and integrating new security features into our platform to proactively defend against modern cyber threats.
Collaborating with our team to define technical requirements and architectural solutions for cutting-edge security features.
Tackling challenging technical problems at the intersection of cybersecurity and low-level systems.

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 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
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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
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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.

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.

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.

we are looking for a Senior Software Engineer to join the ride as we spearhead the next revolution in electronics!
Responsibilities
Develop and maintain robust, scalable, and secure Java-based software solutions
Collaborate with product managers, architects, and other engineers to design and implement new features
Build and optimize data processing pipelines for high-volume analytics applications
Ensure software quality through code reviews, unit testing, and integration testing
Participate in architectural decisions, contributing to the design of cloud-based systems
Monitor and optimize system performance to meet scalability and reliability goals
Troubleshoot, debug and resolve issues in development, staging, and production environments.

we are looking for a Senior Test and Product Development Engineer who is results oriented, have strong analytical skills, attention to details and wants to join the ride as we spearhead the next revolution in electronics
Responsibilities
Work with customers during both pre and post silicon phases to enable them with data extraction and analysis from our company monitoring solution
Working and debugging with customers to enable our company solution on ATE, Bench, System
Driving our company solution value with the customer by Performing data analysis and providing insights on data extracted from post silicon stages.
Working with the customers on onboarding of our company analytics platform, handling new feature introduction
Working internally with product and RnD teams to provide feedback and enhancements to the product.

We are seeking an experienced Embedded Software Development Engineer to join Annapurna Labs, a strategic division of Amazon.
You will join a team focused on high-performance computing (HPC), impacting millions of our services globally.
In this role, you will be instrumental in designing and developing embedded software that powers our cloud infrastructure.
The jobs consists of mainly software development and silicon debugging, in C/assembly, and using scripting languages/AI.

Key job responsibilities:
- Design and implement embedded software solutions for next-generation cloud computing platforms.
- Develop and optimize validation software for advanced semiconductor devices.
- Create, maintain, and debug robust testing frameworks for silicon validation.
- Collaborate with cross-functional teams on complex system development and integration.
- Debug and optimize software at both pre-silicon and post-silicon stages.

We are looking for talented Engineers to join our Virtual Platforms team.
Virtual platforms play a crucial role in accelerating the development process by enabling early Software development, System-Level testing, and architectural exploration without the constraints of physical prototypes.

As a Virtual Platform Engineer, you will:
Develop accurate and efficient simulation models of hardware components.
Create and maintain Virtual Platform environments for software development and system-level validation.
Debug and optimize complex hardware-software interactions.

This role requires strong communication skills and a collaborative mindset, as you'll frequently interact with various teams across AWS to deliver optimal solutions.

If you are passionate about shaping the future of semiconductor technology and meet our qualifications, we invite you to join our dynamic team. Let's redefine what's possible together!

We are looking for a Software Engineer to join our Live Events Discovery team in Israel. Our team owns and operates tier-1 services that are critical to Prime Video's live sports business, serving millions of customers globally with strict availability and latency requirements. We are responsible for connecting customers to live sports experiences through content discovery and personalization. Our service powers the carousels and content discovery features across Prime Video's home page, sports pages, and subscription pages.

This role offers the opportunity to work on services where every decision matters - from architectural choices to caching strategies to error handling - because our services are in the critical path for customer experience during the biggest moments in sports.

Key job responsibilities:
- Build architecture and feature development for our Tier-1 service.
- Build and maintain highly resilient distributed systems that handle millions of requests during peak live sports events.
- Design and implement sophisticated content curation and filtering logic that integrates with multiple upstream services for entitlements, blackouts, recommendations, and playability.
- Partner with other engineers to ideate, design, and build scalable solutions.
- Tackle complex technical challenges across the stack - from service APIs to data orchestration.

As a member of our team, you will:
- Own and operate mission-critical, Tier-1 services with stringent availability and performance requirements.
- Build and scale high-throughput, low-latency content discovery services deployed across multiple AWS regions globally.
- Drive operational excellence for services during peak live sports events.
- Architect solutions that integrate with multiple upstream services for content filtering, entitlements, blackouts, and recommendations.
- Work on intelligent content curation systems that surface the right live sports content to the right customers at the right time.
- Collaborate with merchandising, recommendation, and content teams to deliver personalized sports discovery experiences.