דרושים » תוכנה » Staff Software Engineer, Cloud Storage, AI/ML

Required Senior Software Engineer, Cloud Storage, AI/ML
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 Storage AI/ML Solutions team is dedicated to exploring, architecting and developing next-generation storage solutions for the AI/ML ecosystem. By delivering solutions and sharing performance insights through benchmarks, we enable customers to achieve optimal results and solidify Cloud Platform position as the premier platform for AI/ML.
As a Senior Software Engineer, you will design and implement advanced storage solutions tailored for AI/ML workloads on our Cloud Platform. You will address system design issues, develop production-ready code, and contribute to changing incubation projects. This 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.
Responsibilities
Write and test product or system development code.
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.

Required Senior Software Engineer, Cloud Filestore
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.
Filestore provides a fully managed Network File System (NFS) service for Enterprise Cloud users who need file storage to replace their on-premise hardware when they move to the Cloud.
This is an amazing opportunity to join and impact an early-stage, hi-growth project that builds from the grounds-up a new infrastructure for Cloud Filestore - a shared, distributed, enterprise-level filesystem.
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
Define, design and implement key components, built from the ground-up, for the next-gen of Filestore focusing on performance, reliability, efficiency and resilience.
Help grow and mentor the team, be a part of a well-experienced group and impact the critical architecture and design decisions.
Work with peers from other aspects of the product development lifecycle, including all filesystem engineering teams, product management, program management, SRE, UX/UI.
Work with product and customers, to best fit future requirements.
Develop software primarily in C++.

Required Senior Software Engineer, Cloud Data Movement Platform
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 Cloud services that make data easily accessible for replication and migration. The Data Movement Platform acts as the foundation for these services, providing a fast and secure way to move data from various sources to destinations using scalable message queues and connectors.
As part of the Sources group within the Data Movement Platform, you will develop and enhance the infrastructure used to stream data. You will take ownership of the design, implementation, and post-production care of new infrastructure services and features.
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.
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.
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.

Required Senior Software Engineer, CPU, Cloud
About the job
In this role, you will work at the center of our most strategic infrastructure investments. You will join a high-impact team operating on the critical path of our hardware and software evolution, bridging the gap between compute infrastructure and the massive scale of our software stack. You will be responsible for defining the methods and technologies required to model, simulate, and analyze complex hardware systems, with a core focus on security, performance, and correctness analytics, ensuring the efficiency of our future compute platforms. As a software engineer in this group, you will act as an architect, designer, and coder taking ownership of your goal and working in close partnership with cross-functional teams to make it a reality.
You will be at the intersection of hardware design and software optimization for our next-generation high-performance compute cores. You will not just support existing infrastructure; but will be helping build the foundation of our future hardware. Because this work is on the "most critical path" for our future, you will have visibility into and influence over the core technology that powers our most intensive services. You will bridge the gap between silicon-level security research and massive-scale software implementation, working with experimental AI tools that are shaping how we verify and optimize future hardware. You will be building the foundation of our future hardware.
Responsibilities
Drive performance modeling and analysis for next-generation CPUs, while identifying architectural bottlenecks, ensure system correctness, and implement optimization strategies across hardware-software stack to maximize efficiency for compute workloads.
Design, develop, and maintain software modeling tools and simulation environments, leverage C++, Python, and AI-driven methodologies to perform studies and automate analytical workflows.
Conduct security analysis and threat modeling for hardware-software interfaces, while developing and implementing methodologies for detecting, mitigating, and analyzing side-channel and micro-architectural vulnerabilities, ensuring systems meet safety and privacy.
Explore, deploy, and scale experimental AI-driven tooling to automate verification workflows, enhance predictive modeling, and accelerate development cycles, actively contribute to expanding the team's suite of AI-assisted capabilities.
Provide technical leadership in system integration projects, guide cross-functional teams to resolve large-scale compute bottlenecks, influence architectural designs, and facilitate the successful deployment of hardware-software solutions.

We are seeking an experienced and highly motivated Senior Software Engineer to join our innovative engineering team. As a Senior Engineer, you will play a key role in designing, building, and optimizing our DataOps platform. This is a hands-on role where youll be solving complex challenges and driving innovation in how data operations are managed. Youll collaborate with cross-functional teams, helping to bring new features to life while ensuring the performance and scalability of our platform. This is an incredible opportunity to make a meaningful impact on the future.

What You'll Do
Design & Develop: Design, develop, and maintain scalable and reliable code for DataOps platform, ensuring high performance, security, and scalability.

Lead Features: Take ownership in leading the development of core features and services from conception to completion, with minimal oversight.

Mentor & Lead: Mentor junior engineers, sharing knowledge and best practices, and provide technical leadership across projects.

Drive Improvement: Champion continuous improvement efforts to ensure our systems are adaptable to evolving business needs.

Troubleshoot & Optimize: Troubleshoot and resolve complex technical issues in both development and production environments.

Collaborate: Work effectively with cross-functional teams (Product, Design, etc.) to translate requirements into robust technical solutions.

As a Senior or Principal Software Engineer in Cortex Cloud, you will contribute to the development and scaling of cloud-native security solutions for enterprise organizations. This role involves working within an established team to evolve a high-traffic product, with a focus on refining architecture, optimizing the technology stack, and maintaining engineering standards.
Your responsibilities include writing reliable code, influencing product direction, and designing distributed systems. You will be expected to make technical decisions that impact the long-term stability and performance of cloud workload protection services.
AI Integration & Engineering Workflow
A core component of our development process is the use of AI. Rather than basic code completion, we integrate AI assistants as functional components of our workflow. Our team utilizes a multi-agent AI system (IDEX/ProDex) that assists across the development lifecycle: from planning and architecture to code analysis and security reviews.
In this role, you will:
Work with AI Tools:Utilize platforms such asGemini, Claude, and Cursorfor tasks beyond code generation, including root-cause analysis, system design reviews, and architectural assessment.
Develop AI-Augmented Workflows:Help refine how AI is integrated into the SDLC, including the orchestration of agents and the development of internal tools that extend AI capabilities across our codebase.
Maintain Quality Standards:While AI assists in increasing velocity, you are responsible for the technical output. This includes critical review of all generated code and ensuring that AI-assisted work aligns with our architectural requirements and security benchmarks.
Interact with Specialized Agents:Coordinate with AI agents (Product, Architecture, Security) that operate on shared context to assist in managing complex engineering tasks.
We are looking for engineers who are interested in leveraging AI as a technical tool to manage complexity and who want to contribute to the practical application of human-AI collaboration in a cloud environment.

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructure-someone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacks-its about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakes-designed for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object store-backed data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

As a Senior or Principal Software Engineer in Cortex Cloud, you will contribute to the development and scaling of cloud-native security solutions for enterprise organizations. This role involves working within an established team to evolve a high-traffic product, with a focus on refining architecture, optimizing the technology stack, and maintaining engineering standards.
Your responsibilities include writing reliable code, influencing product direction, and designing distributed systems. You will be expected to make technical decisions that impact the long-term stability and performance of cloud workload protection services.
AI Integration & Engineering Workflow
A core component of our development process is the use of AI. Rather than basic code completion, we integrate AI assistants as functional components of our workflow. Our team utilizes a multi-agent AI system (IDEX/ProDex) that assists across the development lifecycle: from planning and architecture to code analysis and security reviews.
In this role, you will:
Work with AI Tools:Utilize platforms such asGemini, Claude, and Cursorfor tasks beyond code generation, including root-cause analysis, system design reviews, and architectural assessment.
Develop AI-Augmented Workflows:Help refine how AI is integrated into the SDLC, including the orchestration of agents and the development of internal tools that extend AI capabilities across our codebase.
Maintain Quality Standards:While AI assists in increasing velocity, you are responsible for the technical output. This includes critical review of all generated code and ensuring that AI-assisted work aligns with our architectural requirements and security benchmarks.
Interact with Specialized Agents:Coordinate with AI agents (Product, Architecture, Security) that operate on shared context to assist in managing complex engineering tasks.
We are looking for engineers who are interested in leveraging AI as a technical tool to manage complexity and who want to contribute to the practical application of human-AI collaboration in a cloud environment.

The Software Engineer - Cloud will join a foundational and growing cloud team with meaningful ownership over critical platform areas. You will help build the software systems behind a hybrid edge-cloud architecture powering real-time video streaming, recording, and AI processing at global scale. This role sits within the team led by the Head of Cloud, which owns a broad software domain across cloud, mobile, web applications, and related clients.
Youll work on a distributed backend ecosystem that connects edge devices with cloud services and customer-facing applications, with a strong focus on performance, reliability, and low-latency user experiences. This is a strong fit for an engineer who enjoys meaningful ownership, thrives in a fast-moving startup environment, and is comfortable contributing to systems that support customers worldwide. You will have a chance to work alongside teammates across the U.S., Israel, and Europe, contributing to a platform with broad impact and increasing customer demand.
Location & Travel
Hybrid Schedule:
Two days a week working from home.
Ramat Gan office, located just outside Tel Aviv and close to the train station.
Includes biweekly travel to our Caesarea office.
Responsibilities
Build and evolve the core cloud platform that supports real-time video streaming, recording, and AI processing across a global customer base.
Design, develop, and maintain distributed backend services that connect edge infrastructure with cloud systems and customer-facing products.
Develop and support data pipelines for both real-time and batch processing of video and AI-related workloads.
Work on systems responsible for ingestion, storage, retrieval, and secure handling of large-scale video data in a multi-tenant environment.
Architecting multi-tenant, highly available systems across regions in a cloud environment
Collaborate closely with Edge engineers and adjacent teams to enable seamless integration across the broader platform.
Use cloud provider services and SDKs as part of day-to-day development, including work across core cloud capabilities rather than a single isolated service.
Contribute to backend development in JavaScript/Node.js and, depending on background and team fit, potentially support growing work in Go as part of the cloud stack.
Participating in code reviews, debugging, and optimizing performance across distributed systems
Help support a production environment where reliability matters, including situations that may require responsiveness outside standard hours when cloud issues have broad impact.
Our infrastructure is powered by Google Cloud.
Other duties may be assigned.
We dont do cookie-cutter. If youve got the grit, the drive, and the track record-especially in security or AI-we want to hear from you. Even if you dont check every box, lets talk.

we are searching for the best Senior Software Engineer out there!
We are a 4 years old startup founded by successful serial entrepreneurs and a strong team with the vision to evolve digital marketing from the measurement of traffic to measuring VALUE.
Advertising for the past 100+ years has faced a strange dilemma: Half the budget I spend on Advertising is wasted. The problem is - I dont know which half (John Wanamaker, 1838-1922)
We are a deep machine learning and AI company, using the latest technologies, to solve a really simple question - which half is wasted?
our company launched in summer of 2020, backed by strategic investors from around the world who believe in what were doing.
We have customers and a constant flow of interest from the press, investors and more large companies who want to join us.
our company's innovative model, which has sparked interest within the academic community, has been acknowledged by the Israel Innovation Authority with a grant-a rare achievement in the marketing field.
Role Description:
As a Senior Software Engineer your role will be to:
Play a key role in the design and architecture of cutting-edge, innovative data systems.
Develop and maintain a multi-tenant environment for our advanced measurement solutions.
Build and manage cloud-based, distributed computing environments to support scalable, high-performance operations.
Design and implement robust ETL workflows, integrating multiple data sources for cleaning, transformation, aggregation, and querying.
Troubleshoot and resolve complex issues related to data integration, storage, and retrieval.
Architect and build big data solutions capable of managing and automating the processing of tens of terabytes.
Optimize database performance and streamline query execution in large-scale environments.
Collaborate closely with Data Scientists to align technical solutions with data-driven objectives.
You will also participate in important decisions around the product, our strategy as well as have the opportunity to choose the areas you work on based on what you want or like to do the most. We believe in helping each other get most of ourselves rather than do what were not interested in doing.