Were looking for an experienced Software Engineer to join the company AppSec team. In this critical role, you will work with an excellent group of engineers to solve architectural and engineering challenges across both inline and out-of-band security. As part of the role, youll also have the opportunity to work with advanced ML technologies - both in the cloud and on our own GPU-powered infrastructure - to further enhance and accelerate our security capabilities.
Responsibilities:
End to end development from the processing of large-scale data to web interfaces.
Working closely with multiple stack holders - product management, research, data science, SOC & NOC services, and automation teams.
Designing and Implementing enterprise platform solutions.
Researching new technologies and adapting them for use within the companys product.
Collaborating with multiple development teams.

Were looking for a talented and experienced Senior Software Engineer to join the CMA Platform Team - the team building the core platform and shared services that power how our company developers build and ship products.
In this role, youll design and develop scalable platform capabilities and internal solutions that will be used by engineering teams across our company. From authentication and RBAC to cross-cutting services and developer-facing APIs, your work will be at the heart of our companys management and control plane, enabling other teams to move faster, safer, and with greater consistency.
Youll work on backend services, integration patterns, and platform abstractions that provide a solid, secure, and observable foundation for dozens of products and features.
Responsibilities:
Design, build, and maintain core CMA platform services used by multiple product teams (e.g., authentication, RBAC, account lifecycle, shared configuration, and more).
Develop scalable, resilient microservices that operate in near real-time and support high-throughput, global production environments.
Provide clear, well-documented APIs and SDKs that improve developer experience and make platform capabilities easy to adopt.
Collaborate closely with other engineering teams to understand their needs and translate them into reusable platform features and best practices.
Own services end-to-end: design, implementation, testing, deployment, monitoring, and continuous improvement.
Drive technical excellence in the platforms architecture, including reliability, security, observability, and performance.
Evaluate and integrate third-party technologies where it makes sense to accelerate the platform roadmap.

our company Cloud Security was born out of the acquisition of Ermetic, an innovative cloud-native application protection platform (CNAPP) company, and a leading provider of cloud infrastructure entitlement management (CIEM). The acquisition combines two cybersecurity innovators and marks an important milestone in our companys missi
on to shift organizations to proactive security. The combination of our company and Ermetic offerings will add capabilities to deliver market-leading contextual risk visibility, prioritization and remediation across infrastructure and identities, both on-premises and in the cloud.
Your Role:
Design, develop, and maintain complex, scalable, and high-performance systems with a focus on writing clean, efficient, and maintainable code.
Collaborate with cross-functional teams, including product managers and architects, to implement technical solutions aligned with business objectives.
Provide input on architectural design and participate in technical planning to ensure long-term maintainability and compliance with standards.
Identify and troubleshoot production issues, conducting root cause analysis and implementing fixes to ensure system reliability.
Contribute to code reviews and technical discussions, sharing knowledge and fostering a culture of collaboration and continuous improvement.
Your Opportunity:
Develop critical components and systems that drive business outcomes, while maintaining and enhancing core infrastructure for scalability and reliability.
Participate in the design and development of new features, integrations, and enhancements to software applications, databases, and interfaces.
Support and improve automated testing and deployment processes to ensure smooth delivery of new features and system updates.
Collaborate with other senior engineers to drive the technical direction of projects and ensure high-quality software delivery.

Were looking for a Senior Software Engineer to join our growing R&D team. In this role, you will play a critical part in designing, building, and optimizing complex systems that power our AI-driven platform. Youll work across the stack- primarily on backend services - with opportunities to influence architectural decisions and build highly scalable and performant systems. Youll collaborate closely with AI, product, and frontend teams to bring advanced features to life and ensure a seamless, intelligent experience for our users.
This is a high-impact role for someone who is passionate about engineering excellence, eager to shape systems end-to-end, and ready to grow with a fast-moving, AI-first company.
Key Responsibilities:
Design, develop, and maintain robust backend systems and services.
Ensure the scalability, performance, and security of backend components.
Collaborate with front-end developers and data teams to integrate user-facing elements with server-side logic.
Optimize the platform's infrastructure to handle large-scale data processing and analysis.
Troubleshoot and debug complex issues, identifying and implementing the most effective solutions.
Contribute to the architecture and system design decisions for the backend infrastructure.
Stay up to date with industry trends and new technologies to continuously improve backend performance.

Were looking for a Senior Software Engineer to join the AZ Team in Tel Aviv - a group of passionate developers building the secure, scalable backbone of our Customer Experience (CX) Platform.

As a key member of the AZ Team, youll play a pivotal role in shaping the foundations of our CX Platform - driving features and architectural decisions from concept to production-grade solutions. Youll design and build secure, scalable systems for user management, authentication, authorization, and data access that serve thousands of developers across us.

You will:

Design, develop, and build platform-wide authentication and authorization services, creating a cohesive identity fabric that integrates seamlessly with multiple identity vendors and systems.

Lead the evolution of the data consumption layer, enabling governed, efficient, and context-aware access to data across the CX ecosystem.

Drive architectural decisions from concept to production, ensuring solutions are secure, scalable, and optimized for both developer experience and operational excellence.

Leverage AI and automation to enhance access control, anomaly detection, and developer productivity - turning complex platform insights into actionable intelligence.

Collaborate cross-functionally with product, data, and infrastructure teams to build interoperable solutions that power our next-generation developer platform.

Influence platform-wide engineering standards, promoting robust design, observability, and maintainability across services.

Champion developer experience, crafting APIs, SDKs, and tools that simplify integration and accelerate innovation.

Mentor and guide engineers, fostering a culture of technical depth, curiosity, and impact-driven innovation.

We are seeking an exceptional Senior Backend Engineer to join our Platform Group, where you will architect and develop shared infrastructure components that power Semperis's enterprise security and identity products. This is a highly collaborative role requiring both technical excellence and strong cross-functional partnership skills.
What You'll Do:
As a Senior Backend Engineer on our Core Platform team, you will:
Design and build shared platform components used across multiple product teams, ensuring scalability, reliability, and maintainability
Architect distributed systems using microservices and event-driven patterns that support enterprise-scale workloads
Own critical backend services from conception through deployment, including code quality, performance optimization, and operational excellence
Collaborate extensively with product engineers, DevOps, and architects to define platform capabilities and technical standards
Mentor junior engineers through code reviews, pair programming, and technical guidance
Drive technical initiatives that improve developer productivity, system observability, and platform resilience
Contribute to architectural decisions and establish best practics for backend development across the organization
Analyze system performance and data patterns to identify optimization opportunities and inform future platform investments

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.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
our company Cloud Storage provides a suite of services like the scalable our company Cloud Storage (GCS) for unstructured data, high-performance managed lustre for AI/HPC workloads, and the managed Network File System (NFS) service filestore. These offerings are fundamental to our companyCloud's infrastructure, serving as the backbone for storing and accessing the vast datasets required for training and deploying AI models. In the AI era, this storage portfolio is crucial for enabling innovation, supporting compute-intensive tasks, and driving significant value for our company Cloud customers. The performance, scalability, and flexibility of these storage solutions are key to unlocking the potential of AI.
our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Help us figure out a strong roadmap to make Cloud Storage the best for AI/ML workloads.
Lead a team of Engineers to design, develop, and deploy new storage enhancements. Provide technical guidance, mentorship, and code reviews.
Architect and design scalable, reliable, and performant systems that meet the needs of the growing AI/ML customer base. Make data-driven decisions to optimize system performance and efficiency.
Troubleshoot complex technical issues, analyze performance bottlenecks, and develop innovative solutions to address customer challenges.
Work closely with product managers, customer engineers, and other stakeholders to understand customer requirements and ensure that Cloud Storage meets their needs.

Required Senior Data Engineer I - GenAI Foundation Models
21679
Leadership/Team Quote:
This opening is for the Content Intelligence team within the Marketplace AI department.
The Content Intelligence team is at the forefront of Generative AI innovation, driving solutions for travel-related chatbots, text generation and summarization applications, Q&A systems, and free-text search. Beyond this, the team is building a cutting-edge platform that processes millions of images and textual inputs daily, enriching them with ML capabilities. These enriched datasets power downstream applications, helping personalize the customer experience-for example, selecting and displaying the most relevant images and reviews as customers plan and book their next vacation.
Role Description:
As a Senior Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects-ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.
Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.
Key Job Responsibilities and Duties:
Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.
Dealing with massive textual sources to train GenAI foundation models.
Solving issues with data and data pipelines, prioritizing based on customer impact.
End-to-end ownership of data quality in our core datasets and data pipelines.
Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.
Providing tools that improve Data Quality company-wide, specifically for ML scientists.
Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.
Acting as an intermediary for problems, with both technical and non-technical audiences.
Promote and drive impactful and innovative engineering solutions
Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

Your Role:
Lead the design and development of complex, high-performance, backend services within the company One ecosystem, ensuring modularity and long-term maintainability.
Own the end-to-end performance of critical platform components, optimizing for massive data ingestion and low-latency processing across global environments.
Drive architectural discussions and provide high-level input on system design, steering the team toward scalable, cloud-native best practices.
Actively mentor and contribute to code reviews and technical discussions, sharing expertise and fostering a collaborative environment for continuous improvement.
Collaborate closely with Product, SRE, QA and Security teams to implement technical solutions aligned with business objectives.
Take a production-first approach to reliability; lead root cause analysis for complex distributed system issues and implement preventative measures to guarantee system reliability.