דרושים » תוכנה » sr. engineer - sensor

as a global leader in cybersecurity, the company protects the people, processes and technologies that drive modern organizations. since 2011, our mission hasnt changed - were here to stop breaches, and weve redefined modern security with the worlds most advanced ai-native platform. we work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. our customers span all industries, and they count on the company to keep their businesses running, their communities safe and their lives moving forward. we're proud to work for a mission-driven company leveraging ai to transform the way we work. team members drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible ai adoption, experimentation, and innovation. we use an ai-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. were always looking to add talented team members to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. ready to join a mission that matters? the future of cybersecurity starts with you.
about the team:
you'll be joining the data protection team in our data security product group, whose
mission is to build a unified data security system which enables customers to identify and investigate insider threats, identify access to and movement of sensitive data, and ensure regulatory compliance by mitigating data loss risk.
about the role:
our flagship product is a two-component security product. one component is a sensor: a driver installed on client machines that observes system activity and recognizes malicious behavior, then provides on-box prevention capability and remote telemetry to the cloud. the sensor processes thousands of events per second to provide deep visibility into operations on the endpoint, and performs rich correlation and computation to identify malicious events and blocks malicious activity.
the cloud component aggregates sensor telemetry for each customers network, correlates malicious behavior across multiple machines, and presents our customers operations teams with a prioritized summary of the threats detected in their environments.
this is a macos Developer role in the engineering team that delivers data protection-focused functionality in the sensor (lightweight agent) on macos. engineers in the team own the design and development of core features on the platform. data protection-focused functionality centers around file interfaces, including related endpoint security system extension interfaces. the team operates under the agile development principles and ships frequently.
what you'll do:
design and develop data protection-focused system extensions and associated services for deployment on macos systems
own features from design to delivery
collaborate with multi-functional team in various physical locations
troubleshoot issues with the product as reported from customers responsively
other projects as assigned

as a global leader in cybersecurity, the company protects the people, processes and technologies that drive modern organizations. since 2011, our mission hasnt changed - were here to stop breaches, and weve redefined modern security with the worlds most advanced ai-native platform. we work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. our customers span all industries, and they count on the company to keep their businesses running, their communities safe and their lives moving forward. we're proud to work for a mission-driven company leveraging ai to transform the way we work. team members drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible ai adoption, experimentation, and innovation. we use an ai-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. were always looking to add talented team members to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. ready to join a mission that matters? the future of cybersecurity starts with you.
about the role:
the static analysis team is responsible for the heart of the aspm product: our capability to automatically reverse engineer arbitrary backend applications and provide deep-code insights about what they do.
as a senior engineer on the static analysis team, you will be a key contributor, playing a vital role in designing and building a powerful automated reverse-engineering engine. you will be tackling complex, unsolved problems in code analysis by translating cutting-edge research and critical business needs into robust, production-ready engineering solutions.
if you enjoy solving extremely difficult problems while drawing solutions from multiple domains and thrive in a hands-on technical role, then this position is for you.
what you'll do:
drive the hands-on design and implementation of core components for our powerful automated reverse-engineering engine.
conduct research and development on cutting-edge algorithms for deep-code and data flow analysis.
play a key role in developing, designing, and optimizing the falcon aspm platform.
collaborate with fellow team members to solve the most complex and novel technical challenges.
contribute across the entire software development lifecycle, from initial research and system design to production deployment and monitoring.
tech stack:
go
kubernetes
aws
kafka
Linux.

as a global leader in cybersecurity, the company protects the people, processes and technologies that drive modern organizations. since 2011, our mission hasnt changed - were here to stop breaches, and weve redefined modern security with the worlds most advanced ai-native platform. we work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. our customers span all industries, and they count on the company to keep their businesses running, their communities safe and their lives moving forward. we're proud to work for a mission-driven company leveraging ai to transform the way we work. team members drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible ai adoption, experimentation, and innovation. we use an ai-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. were always looking to add talented team members to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. ready to join a mission that matters? the future of cybersecurity starts with you.
about the role:
the company's identity protection product group in israel has grown into one of the highest-performing teams, driving significant arr growth while tackling one of cybersecurity's hardest problems: identity posture at cloud scale. as a senior engineer on the entities team, you'll own the full entity lifecycle - from scraping identity data across active directory, azure, and cloud providers, through enrichment and risk scoring, to publishing millions of identity entities into the company's asset platform. your systems are the foundation that detection rules, alert pipelines, and customer-facing dashboards all depend on. you'll tackle real-world scale challenges: processing massive volumes of identity data through complex dependency graphs, maintaining data consistency across distributed regions, and building new high-performance go microservices to replace and extend legacy systems.
what you'll do:
own the entity enrichment pipeline - a dag-based computation engine that calculates 100+ fields, risk scores, and privilege relationships for every identity entity
build and maintain data ingestion services that scrape active directory forests, process cloud assets from azure/aws via kafka, and integrate third-party identity sources
design and develop new go microservices as the team migrates performance-critical paths from Node.js / JAVA to go
solve complex data pipeline challenges: dependency ordering, incremental computation, race condition handling, and cache invalidation at scale
publish entity data to the company's centralized asset graph (sdmf), ensuring correctness and freshness for millions of identities - optimize system performance - reduce enrichment latency, improve throughput, and handle traffic spikes gracefully - mentor and elevate engineering talent, sharing expertise in building production systems that work under pressure
you'll work on problems liike:
processing and enriching millions of identity entities through a 100+ provider dependency graph in Real-Time
building resilient kafka consumers that handle cloud asset events at scale with exactly-once semantics
designing incremental computation strategies that avoid redundant work while maintaining data freshness
migrating critical services to go for improved performance and resource efficiency
calculating identity risk scores by aggregating signals from ad privileges, behavioral patterns, and cloud permissions
tech stack:
go
JAVA
Node.js / JavaScript
Python
mongodb, redis, kafka, aws
what you'll need:
7+ years of software engineering experience shipping production systems through complete lifecycles.

the networking diagnostics team is seeking a highly motivated and experienced engineer. this person must have hands-on technical expertise to develop critical diagnostic tools for our newest, world-leading networking platforms. this position offers the opportunity to have a real impact in a dynamic, technology-focused company, impacting data centers and high-performance computing (hpc) clusters across the world. we are looking for independent engineers who excel in a fast-paced environment and are passionate about ensuring the stability of next-generation hardware.
what you'll be doing:
design & implement: architect and develop high-performance diagnostic tools and frameworks using Python, tailored for our latest networking platforms.
performance optimization: drive end-to-end development focusing on software that performs efficiently, ensuring diagnostic suites can handle high-throughput data and Real-Time monitoring without latency.
system diagnostics: take charge of developing features that bridge the gap between complex hardware behaviors and software-level diagnostics.
collaborative problem solving: partner with hardware, firmware, and driver teams to address real-world challenges that demand innovative solutions and a customer-centric approach.
autonomous execution: own the full software development lifecycle of diagnostic features, from initial hardware specification to deployment in dynamic environments.

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.

We're looking for an exceptional Senior Software Engineer to join the team building our Endpoint Agent.

This team builds the software that runs directly on our customers' endpoints. It's a highly technical role focused on low-level systems programming and building reliable, production-grade software.

You'll work on an endpoint agent written primarily in Rust, building capabilities that run directly on customer devices. This is desktop software that lives inside the operating system, making it one of the most visible and critical parts of our product.

If you enjoy understanding how operating systems work, writing efficient systems code, and solving hard engineering problems close to the OS, this is a rare opportunity to do that in one of the fastest-growing cybersecurity startups.

What Youll Do

Design and build core capabilities for our Endpoint Agent.

Develop high-performance software in Rust and C++ that runs directly on customer endpoints.

Build features that interact closely with Windows and macOS internals.

Work across backend services and endpoint components to deliver end-to-end functionality.

Partner closely with Product, Security Research, and Platform Engineering to bring new capabilities to customers.

Build reliable, production-grade software with performance, stability, and security in mind.

we are a leader in computer graphics, pc gaming, accelerated computing, and ai. within the company, the networking business unit is building chips, systems, and software that power the most advanced data center and hyper-converged networks of today and tomorrow. the bluefield data processing unit (dpu) and our connectx series of smartnics ignite outstanding innovation for modern data centers by offloading, accelerating, and isolating a broad range of sophisticated networking, Storage, and security services.
we are looking for a highly motivated software engineer with experience in data forwarding technologies, Linux Kernel and container networking, network functions virtualization (nfv), and related areas to join our team and work on innovative offload solutions. you will develop software for various networking offload and virtualization use cases as well as data forwarding on ethernet switching platforms. you will use the latest software development tools and techniques and gain extensive knowledge of modern data center architectures and workload acceleration.
what you'll be doing:
design, develop, TEST, and maintain new functionality and improvements to existing functionality related to offloading various networking services.
design, develop, TEST, and maintain system software components related to networking.
work on data forwarding functionality on ethernet switching platforms.
lead and guide cross-functional teams on large feature development activities.
collaborate with team members, architects, QA, and support teams on feature definition, development, release, and bug fixing.

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.

at the company, we're revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. our cutting-edge platform and unique data empower over 4,300 customers globally, including industry giants like google, ebay, and adidas, to make game-changing decisions that drive their digital strategies.
in 2021, we went public on the new york stock exchange, and we havent stopped growing since!
were looking for an infrastructure data engineer to join our data labs ( DL ) department, which specializes in Professional Services for our super-premium customers. this role will report to our DL (datalabs) infrastructure team manager in the r&d.
why is this role so important at the company?
we are a data -focused company, and our unique ai and Machine Learning capabilities are the center of our business.
as a data infrastructure engineer in the datalabs group, you will be the technical backbone supporting our data production, analyst, and data science teams. you will own and maintain our aws cloud accounts and databricks workspaces, optimize pipeline executions, and proactively modernize our tech stack to reduce tech debt - ensuring our platform remains scalable, reliable, fast, and cost-effective.
given the business-oriented nature of datalabs, you will work closely with cross-functional stakeholders and internal teams who interface directly with strategic customers. by unblocking operational bottlenecks and building robust tooling, you will empower our analysts and data scientists to deliver custom, high-value data products to our customers seamlessly.
so, what will you be doing all day?
environment & workspace management: administering and optimizing our groups aws cloud accounts, iam policies, and databricks workspaces to ensure peak performance, rock-solid security, and cost efficiency.
execution & pipeline infrastructure: owning the health, reliability, and scaling of our core data execution environments (airflow, docker, eks/ecs, distributed queues, and database engines).
tech debt modernization: proactively researching, benchmarking, and replacing legacy debt with modern technologies to keep our platform fast and cutting-edge.
Developer & production support: serving as the technical focal point for internal analysts and data science teams-providing the tooling, standards, and infra support they need to build custom client reports smoothly.
cross-group & client alignment: partnering with external engineering teams and internal stakeholders to support custom data delivery pipelines and uphold high-priority customer slas.
why youll love being a team member:
youll actually love the product you work with: our customers arent our only raving fans. when we asked our employees why they chose to come work at the company, 99% of them said the product.