Required Senior Software Engineer, Cloud Databases
About the job
Our 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 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.
Datastream and Database Migration Services (DMS) are serverless GCP services which aim to make data from various cloud and on-premise sources easily accessible in our Cloud Platform (GCP) products for replication and migration use cases. Data Movement Platform is the support for Datastream and DMS for moving data from sources to destinations.
The platform provides a reliable, fast and secure way to move data from sources to destinations, while allowing easy incorporation and integration of new sources and destinations.
In this role, you will have a key role in the Sources group within Data Movement Platform. You will be in charge of developing and enhancing the infrastructure used to stream data from sources to destination.
We accelerate every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to us as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Write and test product or system development code in Go, Java or Python.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

At our company, we empower people to be their best selves and do their best work.
Mobile threats are getting more sophisticated. our Mobile Forensics gives security teams a remote, efficient way to monitor mobile devices and respond to advanced attacks - and we're growing the engineering team behind it.
As a Senior Software Engineer, you will lead within an agile team, mentor others, and own complex parts of the product end-to-end. The current focus is compelling: designing for horizontal scalability to support a growing customer base, and expanding Android threat detection to cover a broader range of attack vectors.
If you take quality seriously and want to build software that helps organizations protect the devices their people rely on, we'd like to hear from you.
Our Tech Stack:
Java
Spring Boot
Linux
PostgreSQL
Elastic Search
Claude Code
AWS
Docker
What you can expect to do in this role:
Break down customer problems into work you and the team can execute on.
Independently complete tasks from start to finish with high quality.
Ability to communicate technical concepts to stakeholders.
Use your knowledge of Engineering best practices to ask the right questions, solve problems and build great software with a high level of quality.
Produce designs for new and existing features.
Clearly communicate technical concepts with others in the organization (Technical Communication, Support, Product and Cloud).
Performs all job responsibilities in alignment with the core values, mission and purpose of the organization.
Adheres to the highest moral, ethical and legal standards to deliver and environment that promotes respect, innovation and creativity.
Supports and promotes a positive, inclusive workplace one in which the talents and strengths of our increasingly diverse workforce are welcomed, further developed and manifested in our work.

Required Senior Software Engineer, Cloud, Generative AI, Blackbelt
About the job
Our 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 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.
The Cloud Platform Generative AI Blackbelt team helps customers unlock their potential with AI. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes using AI and ML.
The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.
Responsibilities
Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
Provide AI expertise to support the technical relationship with our customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to our Cloud.
Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Cloud.
Support developers, creators, and enterprises to leverage our Generative Language APIs so they can build their own AI products in the future.
Travel to customer sites, conferences, and other related events as needed.

Position Overview: As a Senior Software Developer in Cellebrite Labs, your daily mission involves designing and developing advanced capabilities to extract digital evidence from modern Android and IOS devices. You will tackle some of the toughest security protections such as PAC, Secure Elements, Code Signing, Hypervisors, and more. Working in the heart of the Digital Intelligence Labs group, you will contribute to productizing world-unique capabilities that enable law enforcement and private sector customers to conduct legally sanctioned digital investigations effectively and securely. This role requires a combination of deep technical knowledge, creativity, and persistence to solve complex problems while collaborating closely with top researchers and engineers. Your work will have a direct impact on investigations that save lives and uphold justice globally.



Key Responsibilities:
* Lead and contribute to the development of new extraction technologies for Android and IOS platforms.
* Analyze and reverse-engineer low-level OS internals and security mechanisms.
* Develop robust system -level software in C, C ++, and Python.
* Collaborate with cross-functional teams to design, TEST, and integrate new capabilities into Cellebrites Digital Intelligence platform.
* Stay current with emerging mobile security technologies and forensic challenges.
* Share knowledge and best practices within the team to elevate overall engineering quality.

Office Location:
Tel Aviv

Required Sr. Software Engineer- Core Team
Tel Aviv-Israel
Technology
Who we are
We are the leader in digital performance solutions, helping our advertiser and agency partners verify the quality of their digital campaigns, Optimise to improve performance and Prove that theyre achieving their business outcomes, through unbiased 3rd party data and analytics. DVs mission is to be the definitive source of transparency and data-driven insights into the quality and effectiveness of digital advertising for the worlds largest brands, agencies, publishers, and digital ad platforms. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital advertising ecosystem, helping to build a better industry.
What you will do
We develop advertising analytics systems that measure the exposure and engagement of digital advertisement. We need to write fast, error-resilient, smart code that can deal with many environments including web & mobile.
We stream these large amounts of data through a highly scalable backend system, in which we own the micro streaming applications to process the data and withdraw intelligent insights. Insights are then ingested to a data lake running data pipelines to aggregate and produce higher level insights and benchmarks for clients.
Key Responsibilities:
Design cloud-native solutions using Kafka, Kubernetes, and Databricks.
Develop in Scala (server-side), TypeScript (client-side/tools), and Python.
Build CI/CD pipelines for robust cloud delivery.
Scale big data solutions and maintain high-traffic codebases.
Own end-to-end service health, including real-time monitoring and alerts.
Utilize AI coding tools to accelerate all stages of the SDLC.

We are looking for a Senior Engineer with a data engineering background to join our growing ML Platform team. This is a great opportunity, whether you have experience with ML and are looking for a ML focused product or are an experienced Data Engineer looking to enter the world of ML. Together well provide tools to develop more effective models, get them into production faster, and ensure that they continue to perform well over time.
ML is central to our work. It enables us to process billions of $ worth e-commerce transactions, make decisions in real time, identify fraud rings, and quickly detect new attack methods. Precision is crucial - bad decisions by our models cost us directly and put money into the pockets of fraudsters.
Our adoption by merchants around the world provides us with billions of fresh data points each day. Our team of data scientists, analysts, and cyber intelligence specialists continually identify new signals, engineer new features, and research new models. But as the volume of data and the number and complexity of models grows, so do the engineering challenges.
If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.
Why should you join us?
Youll be part of a highly proficient engineering team that is a focal point for all ML engineering activity, striving to constantly bring innovation and leverage ML capabilities across all company teams and products.
This role presents a unique opportunity to enter the ML domain. For those already experienced in ML infrastructure, it offers the chance to grow within a team that specializes in high-scale, Big Data and ML systems.
What you will be doing:
Designing, building, and maintaining the ML infrastructure that allows our models to make billions of real-time decisions every year.
Building a platform that enables managing a full ML model lifecycle - from researching to training, deploying, and serving predictions in real-time.
Building distributed data processing pipelines to support model development.
Acting as a consultant to researchers, data scientists, and expert analysts and enabling them to research new models faster and with greater precision by providing cutting-edge tooling.
Expanding our ML infrastructure to make it scalable, quick, and efficient to bring diverse models to production and to monitor their performance and drift over time.
Expanding the pool of internal customers able to use ML. Work with them to understand their needs and help them make the most of the infrastructure that well provide.
Acting as an advocate for MLOps, continually improving our processes, and raising our standards.

As a Senior Software Developer , your daily mission involves designing and developing advanced capabilities to extract digital evidence from modern Android and iOS devices. You will tackle some of the toughest security protections such as PAC, Secure Elements, Code Signing, Hypervisors, and more. Working in the heart of the Digital Intelligence Labs group, you will contribute to productizing world-unique capabilities that enable law enforcement and private sector customers to conduct legally sanctioned digital investigations effectively and securely.
This role requires a combination of deep technical knowledge, creativity, and persistence to solve complex problems while collaborating closely with top researchers and engineers. Your work will have a direct impact on investigations that save lives and uphold justice globally.
Key Responsibilities:
Lead and contribute to the development of new extraction technologies for Android and iOS platforms.
Analyze and reverse-engineer low-level OS internals and security mechanisms.
Develop robust system-level software in C, C++, and Python.
Collaborate with cross-functional teams to design, test, and integrate new capabilities into Digital Intelligence platform.
Stay current with emerging mobile security technologies and forensic challenges.
Share knowledge and best practices within the team to elevate overall engineering quality.

We are hiring for a Principal/ Senior Backend Engineer to join our fast-paced KSPM (Kubernetes Security Posture Management) team in Cortex Cloud, located in our TLV office. Cortex Cloud is our company's next-generation cloud security solution.
In this role, you'll be key in developing and scaling the core parts of our KSPM solution. Our team's goal is to help Cortex Cloud customers understand and fix security issues in their Kubernetes workloads across all major cloud providers.
The ideal candidates are software engineers with a "can-do" attitude and a passion for solving real customer problems. You should be a person who wishes and is able to work closely with the team and our partners across Cortex Cloud to make decisions and drive features end-to-end.
For us, caring about people is not a slogan; we are looking for individual contributors who enjoy and want to work with great people and collaborate on delivering business value across PANWs vast customer portfolio.
Your Impact
End-to-end backend development of features and core components across the software development life cycle (design, develop, test, deploy, maintain)
As a principal software engineer, independently drive and collaborate with others to deliver high impact features in the KSPM domain
Work with customers and provide solutions to their day-to-day work and challenges
Contribute to team-wide efforts - code reviews, design reviews, technical and architectural decisions.

We are looking for a 100% hands-on Network Software engineer to join the block storage group. You will be a member of a team that builds the next generation block storage capabilities. You will work closely with a variety of teams and architects including the networking team, and external customers. You will take part in defining the software architecture and implementation of the most advanced storage services! Services that will need to meet extreme performance and scalability demands! We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow.
We work, think and learn as a team. We thrive in a deeply strong environment, and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play.
What youll be doing:
100% hands-on coding role in C language, kernel and userspace
Access advanced AI tools and a token budget for code development provided by us, the world's AI factory leader.
Research, design, implement and test, new and existing, advance networking service and features of our block storage solution, in both Host and DPU environments.
Acquire understanding of the algorithms, the technicalities and the interaction with other components across our block storage ecosystem.
Analyze and solve challenging bugs and customer cases in large scale production systems, identifying issues in our or inbox kernel modules and often in other components. Drive new solutions based on any issues that arise.

At our company, we redefine cyber defense vision by combining AI and human expertise to create products that protect nations and critical infrastructure. This is more than a job; its a Dream job. we are where we tackle real-world challenges, redefine AI and security, and make the digital world safer. Lets build something extraordinary together.
our company's AI cybersecurity platform applies a new, out-of-the-ordinary, multi-layered approach, covering endless and evolving security challenges across the entire infrastructure of the most critical and sensitive networks. Built as part of a broader sovereign AI platform, our technology is designed to operate in on-premise, private cloud, and air-gapped environments, enabling nations to maintain full control over their data, infrastructure, and AI capabilities. Central to our company's proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity.
At our company, our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers.
Responsibilities
Design and build agentic systems - single and multi-agent workflows with planning, memory, context engineering, and tool use - for both internal automation and product-facing autonomous capabilities operating over long time horizons.
Build and operate the AI platform layer - LLM gateways, prompt management, structured output handling, tool-calling infrastructure, and cost/latency optimization - deployed on Kubernetes, consumed by every team for their agentic work.
Own the agent framework layer - orchestration primitives, execution environments, state management, and sandboxed tool execution - giving every team at our company the building blocks to create and operate their own agents.
Build evaluation infrastructure that gives teams confidence in agent behavior - automated LLM and agent evals for quality, correctness, safety, latency, cost, and regressions, including human-in-the-loop oversight for mission-critical workflows.
Productionize and harden backend services (APIs, gRPC, async workers) that integrate LLMs - with proper error handling, retries, circuit breakers, and high-availability patterns.
Own RAG pipelines and retrieval systems - indexing, chunking, embedding, vector database management, filtering, and relevance tuning for production retrieval.
Optimize performance and cost across the AI stack - model routing, caching, batching, and inference cost management.
Ship shared tooling - libraries, SDKs, agent templates, and documentation - while working closely with ML Platform, Data Platform, DevOps, and other teams across the Applied AI Engineering group. Own architecture, documentation, and operations end-to-end.