דרושים » תוכנה » Software Engineer, Filesystem

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.
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 High-Performance Computing workloads, and the managed Network File System (NFS) service filestore. These offerings are fundamental to our company Cloud'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 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
Design and implementation of high-complexity features. Deliver robust, production-ready code for storage solutions that address the specific demands of AI/ML workloads.
Architect scalable and performant storage solutions. Make data-driven decisions to optimize system efficiency and reliability.
Provide deep-dive code reviews and technical guidance to the team. Set the standard for engineering excellence and help maintain a high quality bar for all deliverables that addresses the expectations of key our company customers.
Identify and resolve performance bottlenecks and intricate system issues. Develop innovative, practical solutions to technical challenges that arise at the intersection of storage and ML.
Partner with product and engineering stakeholders to translate customer requirements into technical specifications, ensuring the incubations output aligns with broader our company Cloud goals.

At our company youll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:

Bold in how we dream and innovate

Responsive to feedback, challenges and opportunities

Accountable for results and best in class outcomes

Visionary in future focused problem-solving

Exceptional in execution and impact

we are a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.

How We Work
At our company youll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values

Bold in how we dream and innovate

Responsive to feedback, challenges and opportunities

Accountable for results and best in class outcomes

Visionary in future focused problem-solving

Exceptional in execution and impact

Location: Tel Aviv

The Role
Were looking for a hands-on Technical Lead / Architect to design, build, and guide the development of scalable, secure, and resilient systems. As a key member of our engineering team, youll own architectural decisions and lead the delivery of a large-scale SaaS platform that powers mission-critical experiences for our customers. Youll collaborate with seasoned engineers and product leaders to shape and implement our technology vision - spanning everything from REST APIs and distributed microservices to data pipelines and analytics infrastructure. Youll work with modern open-source tools, cloud-native frameworks, and DevOps practices to deliver solutions that scale efficiently and securely.

Your Day-to-Day

Lead the design and implementation of core backend systems and microservice architectures.

Drive technical decision-making, ensuring performance, scalability, and security-by-design.

Collaborate cross-functionally with product, DevOps, and data teams to align architecture with business goals.

Champion code quality, automation, observability, and engineering excellence.

Mentor engineers, conduct design and architecture reviews, and raise the teams technical bar.

Work closely with data scientists to integrate machine learning / AI models into the system.

Stay ahead of emerging technologies, frameworks, and cybersecurity best practices relevant to SaaS architecture.

We are seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world.
As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Software Engineer, Machine Learning Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding.

As a Senior/ Principal/ Senior Principal Software Engineer at Cortex Cloud, you will serve as a primary technical architect and visionary for our core communication infrastructure. This role is focused on the critical server-side backbone that facilitates high-scale bidirectional communication between our cloud services and client-side applications.
You will be responsible for the architectural integrity of systems that receive massive data inflows from the field and reliably broadcast intelligence back to millions of endpoints. This is a high-impact leadership role requiring a blend of deep technical mastery in distributed systems and the ability to influence technical strategy across the organization.
Key Responsibilities
Architectural Strategy & Vision: Define and drive the multi-year technical roadmap for our server-side communication infrastructure, ensuring the platform remains resilient and performant under extreme load.
High-Scale Communication Infrastructure: Lead the design and implementation of backend systems optimized for receiving high-scale data from client-side apps and distributing data back to a vast ecosystem of endpoints.
Technical Leadership & Influence: Act as a force multiplier by providing technical guidance to multiple engineering teams, aligning them on shared protocols, architectural standards, and communication patterns.
Drive Engineering Excellence: Champion a culture of high engineering rigor, focusing on deep observability, low-latency data distribution, and runtime stability for mission-critical production environments.
Cross-Functional Collaboration: Partner with Product Management, Infrastructure, and Client-Side Engineering teams to evaluate technical trade-offs, mitigate risks, and ensure seamless end-to-end data flow.
Innovation & Prototyping: Spearhead the evaluation of emerging technologies and lead "proof of concept" initiatives for next-generation transport layers and messaging paradigms.
Technical Mentorship: Invest in the growth of Senior and Staff engineers through deep-dive design reviews, code audits, and hands-on pair programming on the most critical paths.
Strategic Customer Engagement: Support the business by leading technical deep dives with strategic customers, translating complex architectural concepts into actionable confidence for our partners.

Were seeking a passionate individual who takes pride in delivering exceptional code to join our Machine Learning Engineering team. This team is at the heart of implementing and deploying cutting-edge computer vision-based algorithms, driving the development of our next-generation solutions.
About The Role
Design, develop, and maintain robust, production-grade software solutions that power our AI and computer vision systems.
Develop and optimize infrastructure supporting AI models, including training pipelines, deployment frameworks, and model serving at scale.
Work closely with algorithm engineers to translate research and model prototypes into high-quality, production-ready code.
Take ownership of all software aspects related to edge devices, including operating systems, device security, deployment, and performance optimization.
Identify bottlenecks and write highly optimized code, utilizing various hardware accelerators to maximize system efficiency.
Actively participate in architecture discussions and contribute to design decisions throughout the development lifecycle.
Promote and strengthen the teams engineering culture by adopting and implementing best practices, high coding standards, and robust testing methodologies.

Product Analytics aims to help developers, product managers and designers understand their users, take data-oriented product decisions and evaluate the impact of technical issues on their customer base. As a Senior Software Engineer on the Product Analytics Backend team, you'll join a new, fast-growing product area. You will help define our technical vision, influence the product roadmap, and solve complex engineering challenges at scale.

In Product Analytics, we consume and process data from multiple sources: clickstreams, user information, and data from third-party systems. Your work will be central to building a robust and flexible system that can ingest, manipulate, correlate and store all this data to have it efficiently queried by our end users.

What Youll Do:
Design, build, and maintain core backend systems for Product Analytics, ensuring scalability, reliability, and high performance.
Drive technical architecture decisions in alignment with product goals and collaborate closely with frontend and platform teams.
Work with our core platform teams to tailor our storage and query solutions to our needs.
Create a strong team culture aligned with our engineering standards and our customer focus.
Participate in hands-on engineering work including coding, code reviews, and design reviews.

We're looking for a Senior AI/MLOps Engineer to join a group that specializes in Security and Networking, and specifically ML, AI and agent development. As a Senior AI/MLOps Engineer, youll build and maintain the infrastructure, tools and processes necessary to support the AI lifecycle in a production environment. You will collaborate closely with data scientists, software engineers, security architects and DevOps teams to ensure smooth deployment, modeling and optimization of AI models. This role involves creative problem solving alongside engineering teams, and is pivotal for the continued success of AI networking security.

What youll be doing:

Developing, improving and optimizing scalable infrastructure for handling and deploying security and networking AI models and agents in production, ensuring high availability, scalability, reproducibility, and performance.

Optimizing AI models and agents for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.

Monitoring and deploying agentic systems, LLMs, and ML models in production.

Designing and implementing frameworks/pipelines for AI training, inference, and experimentation.

Collaborating closely with data scientists, security architects and software engineers to operationalize and deploy AI models and agents, including packaging and integration with existing systems. Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.

Collaborating with DevOps teams to integrate pipelines and workflows into the CI/CD process, ensuring flawless deployments and rollbacks.

Building and maintaining monitoring and alerting systems to proactively identify and resolve issues relating to quality, performance and infrastructure.

Implementing access controls, authentication mechanisms, and encryption standards for AI models and data.

Documenting guidelines, and standard operating procedures for MLOps/AI processes and sharing knowledge with the wider team.

Develop proof-of-concepts for new features.

We are seeking a Senior Backend Engineer to join our R&D team and play a key role in driving drive our growth among cloud-based companies across the globe. You will be part of the Classification team, responsible for developing and optimizing our classification engine and detection systems, including the Data Detection and Response (DDR) framework.

Beyond these core functions, our team manages our MLOps infrastructure and orchestrates various data pipelines, ensuring smooth data flow and processing across the organization.

Responsibilities:
Play a crucial role in our Classification and Detection components, driving their development and optimization.
Design and develop scalable, data-intensive, realtime solutions.
Collaborate with R&D teams, product managers, and customer-facing solution engineers to deliver end-to-end features and tackle complex engineering challenges.
Lead and establish engineering best practices, including code standards and quality guidelines, while mentoring team members in their implementation.
Drive the architectural design and technical direction of key data processing components, ensuring scalability and maintainability.

We are looking for a strong Full Stack Engineer to join our team, which is focused on improving the conversion rate of leads to paying customers. We are building a product with high scalability in mind, which will require you to solve challenging problems on a daily basis. As a Full Stack Engineer, you will be expected to understand the product, work closely with team members to build new features, enhance our platform, and take ownership of your work. You should be passionate about delivering high-quality, functional user interfaces while working in a fast-paced environment. Join us to drive user journey innovation and streamline customer acquisition processes.
As a Full Stack Engineer you will...
Join a high-impact team dedicated to improving lead conversion rates and enhancing user experiences on our platform.
Drive the development of robust, high-quality software with strong test coverage and engineering best practices.
Collaborate through peer code reviews that promote knowledge sharing and continuous improvement.
Own the full development lifecycle - from shaping feature design to deploying and supporting production systems.
Take the lead on back-end architecture, leveraging Node.js and Java while introducing microservices, optimizing performance, and ensuring system reliability.
Build intuitive and responsive user interfaces with Vue.js that deliver personalized and data-driven user experiences.
Become the technical authority in your domain, guiding decisions and mentoring peers as the go-to expert.
Work closely with other development teams, as well as marketing and sales teams, to incorporate their requirements into your solutions.

Ask a member of our team and theyll answer, Our people! We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When youre part of our team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Your Role:
Serve as the primary technical authority and mentor for the team, providing expert guidance, performing code reviews, and setting the bar for engineering excellence.
Partner closely the leadership team to define and evolve the architecture of our end-to-end OT solution, spanning from network data collection to complex on-prem and cloud deployment scenarios.
Own architectural decisions and drive critical tech choices that ensure system scalability, reliability, and seamless integration with the broader our company product suite.
Lead the systems evolution by shaping the target architecture and integrating AI-driven capabilities and advanced analytics to proactively identify network threats and failures.
Leverage complex cross-domain data and metrics to drive product performance and stability improvements.
Lead technical initiatives and discussions across Backend, Frontend, and other teams to ensure high-quality software delivery.
Collaborate with cross-functional partners, including product management and design, within an Agile environment to shape and deliver new features.