דרושים » תוכנה » Staff Software Engineer - Linux/Kernel

Were looking for a senior engineer with strong systems-level thinking and a good understanding of Linux. You should be comfortable working close to the kernel, ideally with experience in eBPF, or with a strong desire to dive into it. Proficiency in C/C++/ Go is essential, and familiarity with networking protocols, TLS internals, or distributed tracing is a strong advantage.

Youll join a high-impact team tackling ambitious technical challenges-like decoding traffic across multiple protocols, and ensuring high-fidelity metrics in complex, real-world environments. Youll be expected to lead design and implementation efforts, contribute to roadmap planning, and collaborate across teams to ensure our solution remains robust, scalable, and frictionless for our users.

This role is a great fit for engineers who thrive on low-level, performance-sensitive problems, and want to shape the future of observability through cutting-edge kernel technology.

What Youll Do:
Design and build core components of our zero-instrumentation APM product using eBPF and Go.
Develop systems to auto-discover services, classify L7 protocols, and extract RED metrics from both plaintext and TLS traffic.
Solve complex challenges around protocol parsing, encryption handling, and performance at the kernel level.
Ensure broad compatibility across Linux kernel versions, distributions, and diverse customer environments.
Collaborate across teams to drive technical direction, improve reliability, and scale the system for production use.

Were looking for an exceptional, driven, and technically visionary Staff Engineer to help shape the future of our platform and accelerate our mission to simplify taxes for everyone.
Youll play a central role in designing and building scalable systems and tools that enable our teams to deliver exceptional user experiences with speed and confidence.
If you're passionate about technical leadership, enjoy solving complex architectural challenges, and want to make a meaningful impact on millions of users, wed love to have you join us.
Responsibilities:
Critical, cross-functional engineering initiatives from design to development and deployment, ensuring quality and scalability.
Participate in technical decision-making and knowledge sharing across multiple teams.
Collaborate with Product, UX, and other stakeholders to deliver seamless and data-driven experiences.
Evaluate and introduce new tools, technologies, and practices that raise the bar for engineering excellence.
Guide by example - service ownership, observability, and operational best practices across the engineering organization.
Promote a culture of high standards, clean code, testing, and continuous improvement.

We are looking for a top-talented software engineer with experience in the low-level development and\or security domain, to be a founding member of our new Data Protection team. In this role, you will take end-to-end ownership of building next-generation data protection capabilities from the ground up, spanning multiple technologies, services, and layers of the product.
This is a true builder role for someone who thrives with an owners mindset, embraces ambiguity, and enjoys close collaboration, and can bridge between deep kernel/system internals into a production-grade product, integrating multiple components into a cohesive, high-impact security solution.
What will you do?
Design and implement low-level agent modules (using C++ or Rust), capable of monitoring data access and movement with minimal performance overhead.
Research and evaluate technologies for building high-fidelity sensors that track data access.
Develop robust, scalable, and performant code that operates reliably across multiple operating systems and environments.
Collaborate closely with Core Agent, Backend, and Frontend teams to deliver a unified, user-facing, next-generation data protection product.

The company DLP Team is an innovative unit dedicated to redefining data loss prevention through cutting-edge AI and large language models. As a leader in data security, our company empowers organizations with advanced intelligence, enabling them to understand, protect, and control sensitive data across all environments. With the backing of top-tier cyber investors and a leadership team of industry pioneers, we are rapidly scaling to meet the increasing global demand for its transformative solutions.
In todays cloud-driven landscape, organizations face mounting challenges in locating and securing sensitive information. our companys advanced classification engine addresses this complexity by providing deep visibility and precise tracking of sensitive data-whether it resides in emails, collaboration tools, or enterprise databases. Our platform empowers security teams with accurate data classification, movement mapping, and prioritized protection, proactively preventing data leaks before they occur.
To drive our ambitious vision forward, we are expanding our engineering team to tackle high-scale challenges at the intersection of AI and data protection. If you're passionate about building innovative solutions in this space, join us and help shape the future of DLP at our company.
What Youll Do:
As an Agent Engineer on our companys Endpoint team, you will play a pivotal role in developing our endpoint agent, taking full ownership from design to production. Your work will focus on creating efficient and secure detection and prevention capabilities, implementing robust command and control processes, and ensuring top-tier performance and reliability. Key responsibilities include:
Designing and developing high-performance, resilient solutions from concept to production.
Optimizing code and leveraging new technologies to enhance system performance.
Collaborating with skilled backend engineers to implement best practices and maintain architectural excellence.
Writing clean, efficient, and well-tested code to ensure reliability and security.
Our Tech Stack:
Rust | WinAPI | Tokio | OpenAPI | Protobuf.

Your Career The SASE Platform team builds and operates highly available, secure, and globally distributed services that protect users, applications, and data for some of the worlds largest enterprises. Our mission is to deliver cloud-native security and networking capabilities that seamlessly converge networking and security at scale. As enterprises accelerate adoption of cloud, remote work, and AI-driven workloads, the need for resilient, observable, and secure SASE platforms has never been greater. As an SRE, you will play a critical role in ensuring our platform is reliable, scalable, performant, and secure from day one. Your Impact As a Site Reliability Engineer, you will be an integral part of the product and platform lifecycle, partnering closely with software engineers, security experts, and infrastructure teams. You will: Collaborate with development teams to embed reliability, scalability, and operability into services from the earliest design stages Design, review, and evolve cloud-native architectures to improve availability, performance, cost efficiency, and fault tolerance Build and operate automation for provisioning, deploying, and managing infrastructure at global scale using Infrastructure as Code Improve CI/CD pipelines and release processes to enable safe, fast, and repeatable deployments Drive observability best practices, including metrics, logs, traces, SLIs/SLOs, and data-driven incident analysis Participate in on-call rotations, continuously reducing MTTR through automation, runbooks, and proactive reliability improvements Mentor and guide engineers on large-scale cloud and SASE deployments, fostering a strong SRE culture Participate in architecture and design reviews, bringing a reliability and operational excellence mindset Champion reliability, security, and operational maturity across the organization.

we are architecting a new approach to the enterprise data stack built for the AI era. The company Data Platform sets the standard for AI infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that make GPUs, AI, and other performance-intensive workloads run faster, work more efficiently, and consume less energy.
we are a pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds most innovative enterprises and research organizations, including 12 Fortune 50, reach discoveries, insights, and outcomes faster and more sustainably. Were passionate about helping our customers overcome complex data challenges to accelerate their innovation and help grow their businesses. We invite you to join us on this exciting journey if you share our passion.
Staff Engineer, Core Infrastructures: Key Responsibilities
The Staff Engineer for Core Infrastructures, part of our company's Core group, is a hands-on technical leadership role vital to the reliability, performance, and overall quality of our distributed data platform. This position involves direct contributions to, and technical guidance for, the team focused on developing and maintaining essential internal tools (for testing, debugging, and development) and the core build infrastructure.
Core Responsibilities:
Lead Build and Development Infrastructure Evolution: Spearhead the design, development, and adoption of our company's next-generation build system to significantly enhance developer experience and velocity. This includes improving workflows, unit/component testing, and debug/instrumentation tools.
Boost Cross-Organizational Efficiency: Collaborate closely with DevOps, QA, and development teams to ensure a unified approach that maximizes overall quality and efficiency across the engineering lifecycle.
Integrate AI for Scale: Scale the development environment by incorporating AI-driven solutions for automated test generation, intelligent workload synthesis, and proactive anomaly detection.
Technical Leadership & Mentorship: Lead global development efforts (Israel and Europe) while maintaining a strong hands-on involvement (at least 60% of time spent on development). Act as a key influencer and mentor, cultivating a high-velocity, efficiency-focused engineering culture across teams.

At our company, were building the next-generation testing platform that will redefine how complex distributed systems are validated at scale. Our mission is to create an automated, intelligent testing environment that continuously validates the correctness, performance, and resilience of the company Data Platform across every layer of the stack. This is an opportunity to reinvent how next-gen infrastructure is tested, leveraging both proven engineering techniques and the latest AI-driven approaches. Youll work on solving some of the hardest challenges in large-scale systems engineering: How do you validate correctness in deeply parallel I/O systems? How do you uncover reliability gaps that appear only under extreme concurrency? How can AI tools help us automatically generate test scenarios, analyze failures, and predict weak spots before they occur? As a Staff Software Engineer, youll be at the center of these questions. Youll set the technical direction, design testing frameworks that scale with our product, and partner across engineering to raise the bar for quality.
What Youll Do:
Design and implement a next-generation testing and quality framework for distributed systems, enabling automated validation of functionality, performance, and resilience.
Leverage AI-driven tools to scale the testing environment, including automated test generation, intelligent workload synthesis, and anomaly detection.
Create end-to-end testing environments that simulate real-world scale, stress, and failure conditions.
Define and drive the technical strategy for testing across our company, setting the standard for quality engineering.
Mentor and influence engineers across teams, fostering a culture of technical rigor and reliability obsession.
Collaborate with product and infrastructure teams to ensure the testing platform is deeply integrated into our development lifecycle.

What Youll Do:
As an Agent Engineer on our companys Endpoint team, you will play a pivotal role in developing our endpoint agent, taking full ownership from design to production. Your work will focus on creating efficient and secure detection and prevention capabilities, implementing robust command and control processes, and ensuring top-tier performance and reliability. Key responsibilities include:
Designing and developing high-performance, resilient solutions from concept to production.
Optimizing code and leveraging new technologies to enhance system performance.
Collaborating with skilled backend engineers to implement best practices and maintain architectural excellence.
Writing clean, efficient, and well-tested code to ensure reliability and security.
Our Tech Stack:
Rust | WinAPI | Tokio | OpenAPI | Protobuf.

Were looking for a strong software engineer who can own complex problems, turn them into crisp technical requirements, and deliver robust solutions within our distributed system.
You will join a team that owns the host layer between applications and hardware, including Linux kernel/OS integration, Docker engine, system security hardening and features, and other foundational infrastructure.
The work is hands-on, performance- and reliability-critical, and involves investigating and researching complex flows across the stack (hardware, kernel, userspace, containers).
What success looks like
You deliver changes that are secure, observable, and maintainable.
You collaborate with application teams and hardware/firmware engineers to unblock system-level issues.
You can explain tradeoffs (performance vs. safety vs. complexity) and defend design decisions.

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.