דרושים » תוכנה » senior software engineer - posture

every nation has data. few can protect it. fewer still can act on it.
the company is the sovereign ai and national cyber-defense company for governments.
we help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign.
this is more than a job. it's a role at the company, where you'll work at a global scale alongside some of the best ai researchers, cyber operators, and government experts in the world.
we defend nations against the most advanced threats in the world with a national security suite that offers ai-native resilience against apts with visibility, insights and mediation across posture, cti, and detection & response, all fully sovereign.
were looking for a software engineer who is passionate about building high-quality software and solving complex technical challenges. in this role, you'll design and develop production-grade Python services that integrate with third-party devices and platforms, enabling reliable data collection at scale. the systems you build will power our ai platform, providing the critical data foundation behind our products.
design and deliver production-grade, high-quality and robust code.
research a wide range of software and network devices to find the best data collection solutions.
collaborate with customers to resolve issues and expand the company's collection portfolio.
prioritize collection capabilities together with our product team based on customers needs and define milestones.
work effectively within a team, contributing to a collaborative and innovative development environment.

every nation has data. few can protect it. fewer still can act on it.
the company is the sovereign ai and national cyber-defense company for governments.
we help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign.
this is more than a job. it's a role at the company, where you'll work at a global scale alongside some of the best ai researchers, cyber operators, and government experts in the world.
we defend nations against the most advanced threats in the world with a national security suite that offers ai-native resilience against apts with visibility, insights and mediation across posture, cti, and detection & response, all fully sovereign.
were looking for a program manager, or, as we call the role at the company, a booster, to bring focus, clarity, and momentum as we scale rapidly.
youll own your squads delivery while building simple, effective processes on the fly, moving fast, removing friction, and giving teams the space and confidence to do their best. youll partner closely with engineering, data science, research, and product to align priorities and turn ambitious plans into successful execution.
lead and manage multiple squads, ensuring efficient workflow and high-quality output
partner with the Product Manager and R&D Manager to oversee the end-to-end development process for our cybersecurity solutions
collaborate with the director of program management to align squad goals with overall company objectives
foster a culture of innovation, continuous improvement, and technical excellence
mentor and develop team members, providing guidance and support as needed
implement and optimize agile methodologies to enhance team performance and product delivery.

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.

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.

we build agentic network security orchestration, a platform where autonomous ai agents reason over a live network, make decisions, and act. our group sits at the center of the company's ai strategy. we turn some of the best Cyber security data in the world into agents that keep enterprise networks understood, secured, and in control.
you'll own some of the platform's hardest problems:
network reasoning and connectivity analysis - model a customer's live network as a knowledge graph of topology, routing, gateways, and policy. answer what humans struggle to: can this reach that, and exactly which path does it take? this is the engine behind autonomous troubleshooting.
structure at scale - find patterns in massive, messy networks. group objects, traffic, and access patterns so agents can reason about intent, not one rule at a time.
real networks. real scale. real impact on how enterprises secure their infrastructure.
what you'll do
design and build the services that model, reason over, and answer questions about live enterprise networks
turn network topology, routing, and firewall policy into a knowledge graph agents can navigate
build clustering and analysis that find structure across millions of connections
design scalable, reliable data pipelines and apis that process network traffic at enterprise scale
partner with data scientists to take models and agents from research into production
own hard problems end to end - from a vague question to a system in customers' hands.

In this role, you will be dedicated to safeguarding our clients data within the dynamic SaaS landscape. Joining our core Data Protection engineering group, you will drive innovation in SaaS Data Security, building the next generation of an enterprise SaaS data protection platform.
In the SaaS Data Security domain, you will develop comprehensive data discovery, classification, and protection solutions natively integrated with leading business applications (such as Microsoft 365, Google Workspace, Slack, and Salesforce). You will tackle complex performance and scale challenges, architecting high-throughput, multi-tenant systems capable of continuously scanning, processing, and accurately classifying high-volume unstructured data across diverse SaaS ecosystems.
You will solve complex architectural challenges-translating conflicting data models and normalizing complex, vendor-specific APIs-to build a single, cohesive security control plane. Your work will enable deep visibility, real-time activity monitoring, and automated remediation to eliminate security blind spots, configuration drift, and unauthorized data exposure across the entire SaaS footprint.
Ultimately, your work will focus on proactively identifying and eliminating risks, ensuring our clients' sensitive information remains secure, compliant, and accessible only to authorized users, empowering them to scale their operations safely
Key Responsibilities
Drive innovation by designing and implementing impactful solutions that address client needs, contributing to the full feature development lifecycle from design to deployment.
Take ownership of specific feature segments, ensuring high-quality code and robust functionality through meticulous attention to detail and a focus on execution.
Proactively collaborate and exchange information with cross-functional teams, including product and infrastructure, to ensure seamless integration and alignment on shared objectives.
Challenge the status quo by generating innovative ideas and actively participating in brainstorming sessions to foster product and architectural improvements.
Actively engage in technical discussions, openly sharing knowledge and learning from others to solve complex problems and elevate team expertise.
Design and build highly scalable, resilient, and secure cloud-based applications and microservices.
Contribute to an agile and dynamic engineering culture, demonstrating a strong drive and outstanding communication skills to deliver results efficiently.

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.

Join the Cortex team and own the backend strategy for our integrated detection and response engine. You will be responsible for transforming raw endpoint, network, and cloud data into actionable intelligence, using AI-driven techniques to dramatically reduce false positives and focus our defense on what truly matters: stopping the worlds most critical threats
We are constantly innovating-challenging the way we, and the industry, think about big-data, AI & cybersecurity. Our engineers dont shy away from building products to solve problems no one has pursued before.
We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment
Your Impact:
You will operate with the agility and autonomy of a high-growth startup, backed by the massive scale and resources of a global leader. You will architect and scale a world-class data infrastructure capable of processing billions of events per second in real-time.
By integrating state-of-the-art AI technologies, you will transform raw telemetry from the industry's leading cyber products into high-fidelity, actionable intelligence.
You will own the end-to-end software development life cycle, from conceptualizing complex distributed systems to deploying high-performance code. Your mission is to build AI-augmented systems that are not only fast and maintainable but are resilient enough to outpace the world's most sophisticated cyber threats.

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.