דרושים » תוכנה » Senior Software Engineer - Data Pipelines (Cortex)

Required Senior Software Engineer, Cloud Datastream and Database Migration Service
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 Control & Connect (C&C) team builds the core infrastructure powering our DMS and Datastream. We own the mission-critical Control Plane and Data Movement Infrastructure that allows enterprise customers to seamlessly migrate and replicate their databases at massive scale.
As a Senior Software Engineer, you will design and build the core infrastructure that enables enterprise customers to replicate and migrate their databases. You will address distributed systems issues involving stateful microservices, intricate multi-region architectures, and high-throughput data pipelines. Operating in a collaborative environment, you will guide the technical design of new features, improve system reliability, and mentor fellow engineers. Our team is also pioneering AI-assisted engineering operations, giving you the opportunity to shape how we use generative AI to accelerate development, improve testing, and reduce operational toil.
Responsibilities
Design and implement resilient, multi-step long-running operations and manage orchestration workflows on our cluster management systems.
Drive architectural improvements to decouple systems, manage service overload, and integrate seamlessly with various Cloud services like AlloyDB, Cloud SQL, and BigQuery.
Take end-to-end ownership of ambiguous technical challenges, translating complex requirements into concrete architectures and maintaining high engineering standards through design and code reviews.
Identify and eliminate operational toil, including contributing to the team's custom AI agents to automate release pipelines and streamline on-call workflows.

Required Staff Engineer - Office of the CTO
As a member of the Office of the CTO, your mission is to make every engineer 10x more effective. You will be a central driver in reimagining our Software Development Lifecycle (SDLC), building the intelligent platforms, automated golden paths, and AI-powered tools that will fundamentally change how we build software. This is a rare opportunity to have a massive, force-multiplying impact on our entire R&D & Product organizations, building the systems that enable hundreds of engineers to innovate faster and deliver with exceptional quality. The role is based in our Tel Aviv office.
Key Responsibilities:
Shape the Software Factory: Act as a key thought leader in shaping our Software Factory - the agentic workflows and loops that carry work from idea to production. You will research, prototype, and build the agents, harnesses, and tools behind them, and define the governance, controls, and standards that keep the factory predictable and safe at scale.
Build the Platform Beneath It: The factory only runs on solid foundations, and the Office of the CTO owns them. You will take a hands-on role in building and scaling the shared infrastructure every agentic workflow depends on - our AI gateway, shared memory and context graphs, guardrails, and the golden paths that abstract this complexity away from the teams using it.
Make Quality Automatic: Turn those standards into enforcement - automated gates in our CI/CD pipelines, evaluations and guardrails for agent-generated work, and the telemetry that tells us whether the factory is actually producing better outcomes. Quality, testing, security, and reliability become the default, not the exception.
Drive Adoption & Foster Community: Champion the tools you build. You will create documentation, lead workshops, and act as an internal advocate for your users, turning their feedback into the next iteration. You will also mentor and guide builders across R&D and product - in Tel Aviv and across our global sites - helping to foster our AI-native culture.

At our company, what you do matters. Every day, we protect over 100,000 organizations worldwide from increasingly sophisticated cyber and AI-driven threats, securing their AI transformation.
Our prevention-first approach safeguards hybrid networks, cloud environments, digital workspaces, and AI systems, stopping attacks before they happen.
This is where innovation meets real-world impact. Youll help customers across industries operate with confidence in a rapidly changing digital world, working alongside smart, curious people who take ownership, challenge assumptions, and solve complex problems.
Were proud to be recognized by TIME, Newsweek, and Forbes for excellence and workplace culture.
What really sets our company apart is the opportunity to grow, contribute, and help companies navigate their AI transformation securely.
If youre excited to work at the forefront of AI-driven security on a global scale, this is the place to do it.
Key Responsibilities
we are seeking a Senior Software Engineer with strong DevOps passion to join our Dev-Ex group. You will build tools, platforms, and automation that boost developer productivity. Youll work on core services, enhance CI/CD workflows, and deliver AI-based, self-service solutions that optimize and improve development at scale.
Responsibilities
Build scalable Dev-Ex services, automation, and internal tooling.
Improve CI/CD, build performance, environment provisioning, and developer workflows.
Own systems end-to-end from design to deployment and monitoring.
Collaborate across DevOps, SRE, backend, and security teams.
Contribute to architecture decisions and engineering best practices.

ai factories are only as good as the software that runs them. our dsx os turns gpu infrastructure into a shared, multi-tenant platform for ai teams, providing scheduling, orchestration, serving, and observability for ai workloads at data -center scale-from training and inference to reinforcement learning and agentic ai. the dsx os platform software group builds that layer through projects such as kai-scheduler, snapshot, grove, and run:ai. our work ships as open source and upstream contributions across the cloud-native and ai serving ecosystems. we focus on performance, reliability at scale, and giving users the insight they need to understand and improve how their workloads run.
we are looking for highly skilled software engineers to help shape the future of ai infrastructure. as a senior software engineer in the team, you will design and build scalable, high-performance systems, tackle complex distributed-systems problems, and collaborate with experts across the company and the broader community to support the next generation of ai workloads.
what you'll be doing:
designing and developing open source platform components with a strong focus on performance, reliability, and scalability.
building and optimizing kubernetes-native systems: controllers, operators, schedulers, and apis that orchestrate gpu workloads at scale.
contributing upstream - designing in public, writing proposals, reviewing community code, and engaging with users and maintainers of the projects we work on.
collaborating closely with architects, product managers, and partner teams across the company to deliver impactful solutions.
writing clean, maintainable, and testable code in go.
conducting code and design reviews to uphold high-quality standards, and mentoring team members.

Required Staff Software Engineer, Cloud Storage, AI/ML
About the job
Our Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.
As a Storage Staff Software Engineer in the datapath team, you will design and implement advanced storage solutions tailored for AI/ML workloads on Cloud Platform. You will address complex system design challenges, develop production-ready code, and contribute to fast-paced incubation projects. Your role involves developing benchmarks, resolving performance issues and collaborating with cross-functional teams to bridge storage infrastructure with evolving AI/ML demands, from training to inference. Cloud accelerates 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 Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Design and implement high-complexity features, delivering robust, production-ready code for storage solutions that address the specific demands of AI/ML workloads.
Architect scalable and performant storage solutions, driving the technical design for features and making data-driven decisions to optimize system efficiency and reliability.
Adapt to fast-paced development cycles for new technical domains.
Identify and resolve performance bottlenecks and intricate system issues, developing innovative, practical solutions to technical challenges that arise at the intersection of storage and machine learning.
Partner with product and engineering stakeholders across the storage domain to deliver high-complexity features and products.

Most QA roles are about writing scripts to catch bugs after the code is written. This isn't one of those roles.
At our company, we aren't just scaling software; we are building the fundamental engine that powers the global AI revolution. When you are managing exabytes of data at breaking-point speeds, traditional testing methodologies crumble. We don't need someone to follow a test plan. We need an architect to build a self-evolving, intelligent testing ecosystem.
The Mission
We want you to build the AI tools that validate our AI data platform. You will design autonomous, agentic systems that actively look for vulnerabilities, orchestrate their own testing logic, navigate distributed dependencies, and isolate regressions entirely on their own before they hit production.
If you are a systems-level builder who gets excited by complex distributed systems, autonomous logic, and breaking things at an elite engineering scale, this is your playground.
What Youll Actually Do Everyday
Build AI Agents for Quality: Design and deploy production-grade Python frameworks and LLM-driven agentic tools that dynamically generate, execute, and self-correct test environments.
Orchestrate Chaos at Scale: Move past static assertions. Youll build runtime verification tools that stress-test data integrity, multi-node failures, and deep storage engine behaviors.
Ditch the Manual Mindset: Drive our entire automation architecture toward a state where human intervention is the exception, not the rule.
Partner with Core R&D: Work side-by-side with our systems architects to inject intelligent code evaluation pipelines right into our fast-moving CI/CD engines.

WalkMe is looking for a Software Developer to join our Big Data and Analytics department.
Our Big Data Platform delivers the foundational, high-performance data infrastructure that powers dashboards, APIs and contextual insights for both customer facing and internal products.
As a developer on the Big Data Platform, you will be a part of the outstanding group that builds WalkMe's intelligent data infrastructure, directly powering context-aware AI models and autonomous workflow automation. We are looking for people who look at engineering differently-people who are passionate about scaling AI-ready data layers, optimizing real-time context streaming, and leading the smart platform solutions they envision. If you are passionate about developing a cutting-edge data foundation that drives conversational AI execution across enterprise applications, making a massive impact, and striving to work with the industrys best talent-WalkMe is where you want to be!
What You'll Own:
End to end development of features and systems that are used daily by key stakeholders, both internally and externally
A technical focal point for software development best practices and design of main components, services and systems.
Explore, implement, and introduce cutting-edge technologies and innovative ideas.

Job Summary
Get ready to shape the future of software development at Palo Alto Networks by joining a pioneering team building our revolutionary, internal agentic AI tool. You will develop an enterprise-grade, high-scale platform designed to increase developer productivity through advanced vibe coding using state-of-the-art LLM models. We are looking for a tech-savvy and innovative developer who is excited to build the generative AI-powered tools that will define our next generation of engineering.
Key Responsibilities
Drive the development of sophisticated, AI-powered features end-to-end, from ideation to seamless production deployment.
Architect and implement hyper-scalable solutions on GCP capable of supporting thousands of developers.
Obsess over the developer experience, passionately enhancing the UX of the product's features.

Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding , we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time — with zero human intervention . Our platform runs in production at global enterprise customers, including Fortune 500 companies , delivering mission-critical resilience and sub-second optimization Autonomous execution is a new category, and we are the ones defining it — already running in production inside Fortune 500 environments , where being wrong is not an option. The team is deliberately talent-dense ; every hire changes what we are able to build next. We are looking for a Full Stack Engineer to build our enterprise web application and control plane alongside our senior engineers. You will build the services, APIs, and interfaces that let engineering leaders monitor, understand, and control autonomous data workloads in real time. This is a backend-heavy role . It is best suited for candidates whose primary expertise and passion lie in backend development
What You’ll Do
* Ship features end to end across the control plane: services, APIs, and the interfaces built on top of them
* Build scalable, low-latency APIs over live telemetry from production data and AI workloads
* Build high-performance, real-time visual interfaces and explainability tools for monitoring an autonomous data platform
* Partner closely with backend, AI, and distributed systems engineers to ship complex, mission-critical platform features
* Own quality for what you ship: testing, CI/CD, observability, and the operational bar for a product enterprise customers depend on
What We Offer
* A chance to build the core execution engine for a new category of autonomous data platform — a product already running inside Fortune 500 environments Real ownership from day one : you own what you ship end to end, and you grow into owning whole domains of the control plane Engineering problems that are genuinely hard : real-time telemetry at enterprise scale, low-latency APIs, and interfaces that make autonomous decisions readable A talent-dense team : direct access to the founders and to the engineers who designed the platform, and a bar that pulls you up Top-of-market compensation and meaningful equity Ready to build the control plane for an autonomous data platform? Hit Apply.