דרושים » תוכנה » sr. software engineer - application analysis (hybrid, isr)

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:
join us and become a key leader in building the most innovative endpoint security solution in the world. our sensor development team is responsible for building the endpoint sensor which deploys on multiple platforms including windows, mac, and Linux. as a software engineer, you will be expected to have ownership over major components and development projects. you will be required to assist with architecting solutions and support in implementing our core features. features will cross-cut most core os subsystems such as file system, memory and process, and networking. many features are also built in a way that they will have shared components across multiple platforms. you need to be able to lead projects efficiently while maximizing performance and minimizing costs, making sure high standards are being followed when it comes to design, coding quality, and unit and component testing. joining our data security product group means you'll be instrumental in developing a comprehensive data security system. this system empowers customers to detect and investigate insider threats, monitor access and movement of sensitive data, and uphold regulatory compliance by reducing data leak risks.
what you'll do:
work on an emerging product with continuous growth, new feature releases and a rapidly growing customer base
partner with fellow senior engineers in the development of the sensor, the lightweight agent, and its leading endpoint security capabilities
own new features from design to delivery
support development of cross-platform software (windows & mac)
collaborate with multidisciplinary engineering teams across various locations to develop cross-team functionalities
troubleshoot issues with the product as reported from customers responsively

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.

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.

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.

We are looking for a Lead Software Engineer - Innovation Team to join our growing our new engineering innovation team who build our new product offering with our clients!
Our newest product line - a small, fast-moving team operating like a startup inside the company. While our core offering helps customers acquire better users and spend less doing it, Engage turns that intelligence inward: re-activating churned, dormant, and low-value users who are already on our customers' platforms. As a Senior Software Engineer, you'll work directly alongside the team's engineering lead, building the systems that take machine-learning predictions about user behavior and turn them into automated, continuously-learning decisions delivered straight into our customers' DB and CRM tools. This is a role with no narrow lane - you'll touch literally everything: data pipelines, ML and algorithms, applicative backend services, and even the UI. You'll partner closely with a VP Product and senior data scientists in a high-ownership environment where you shape the architecture, ship to production, and see your work drive a brand-new revenue stream for the company.
Responsibilities:
Design and build high-quality, production-grade systems across the entire Engage stack, from large-scale cloud data pipelines, to ML and decisioning services, to applicative backend and customer-facing UI, with an eye for performance, reliability, and easy maintenance.
Own the closed loop end-to-end: turning ML predictions into automated decisions, delivering them into customers' DB and CRM systems, and feeding outcomes back in so the system keeps learning.
Take features from idea to production largely on your own: designing the architecture, shipping it, monitoring it in production, and iterating, with the autonomy (and accountability) that comes with a small team.
Collaborate closely with the team's engineering lead, the VP Product, and senior data scientists to take models and research from prototype to reliable, scaled-up production systems.
Monitor performance and prioritize work by making data-driven decisions.
Participate in code reviews and uphold engineering standards and best practices across the team.

run:ai, has evolved ai infrastructure by merging gpu virtualization with kubernetes-native capabilities. our world class ai platform allows organizations to improve productivity and efficiency for data scientists and Machine Learning engineers. with deep kubernetes expertise and a focus on innovation, we are dedicated to developing cutting-edge technologies and delivering the best User Experience for our customers. we are looking for highly skilled software engineers to join our platform group and help shape the future of ai infrastructure.
the role of a senior software engineer in the platform group is to design and develop scalable, high-performance systems that support the next generation of ai workloads. you will collaborate with experts across domains, tackle complex challenges, and drive innovations that empower our users to push the limits of ai capabilities.
what you'll be doing:
designing and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.
building and optimizing microservices-based architectures using kubernetes and cloud-native technologies.
collaborating closely with backend engineers, product managers, and other stakeholders to deliver impactful solutions.
writing clean, maintainable, and testable code in go
conducting code and design reviews to uphold high-quality standards and mentor team members.

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.