We are seeking a Senior Engineer for Cloud Security Product Group.

Were extending our mission of stopping breaches into the public cloud and cloud-native workloads. Our product offering will give customers the ability to monitor and track their cloud-native workloads as well as hardening and protecting them against attacks prior to deployment. This offering will help with defending against potential adversary activities involving cloud-native resources. When coupled with Falcon, our endpoint security offering, our CSPG offering will provide a more comprehensive perspective on how the adversary is targeting key customer infrastructure. Our ultimate goal is to provide a single platform for securing the entire lifecycle of cloud workloads and cloud security posture.

What You'll Do:

Lead backend engineering efforts from rapid prototypes to large-scale applications across our products.

Leverage and build cloud-based systems to detect targeted attacks and automate cyber threat intelligence production at a global scale.

Brainstorm, define and build collaboratively with members across multiple teams.

Work in a startup-like environment with a small fast-moving team.

Be mentored and mentor other developers on backend, and data storage technologies and our system.

Constantly re-evaluate our product to improve architecture, knowledge models, user experience, performance and stability.

Be given the autonomy to own your work in a high trust environment.

We are looking for a Senior Software Engineer to join our CI Infrastructure team within the Platform Engineering organization.
The team designs, builds, and operates the internal engineering platform that powers our companys build, test, and security validation workflows. This includes large-scale orchestration of complex test environments, hybrid cloud/on-prem execution infrastructure, DevSecOps integrations (SCA, SAST, policy enforcement), and advanced optimization mechanisms.
Our mission is to provide a scalable, reliable, and intelligent CI platform that enables hundreds of engineers to build and validate a complex distributed networking product efficiently and safely.
This is a hands-on engineering role focused on scalability, observability, reliability, and intelligent automation, with direct impact on engineering velocity and release confidence.
What Youll Do
Design and evolve scalable CI infrastructure for build and large-scale test execution
Develop automation and orchestration systems across hybrid environments (AWS and on-prem)
Integrate and optimize security validation flows (SCA, SAST, quality gates) within CI
Improve reliability, performance, and observability across high-volume CI workloads
Develop AI-assisted tooling and agents to optimize test selection, failure analysis, and resource utilization
Analyze CI data to identify bottlenecks, flakiness patterns, and optimization opportunities
Collaborate with R&D, Automation, and Security teams to continuously improve CI architecture and best practices
Take ownership of critical platform components used daily by large engineering teams.

Required Senior Software Engineer - CWPP Team
About the role:
As a Senior Software Engineer on the CWPP (Cloud Workload Protection Platform) team, youll be part of a core group responsible for protecting our customers cloud workloads at scale. Our team scans and analyzes a wide variety of cloud assets - from virtual machines and container images to object storage buckets and databases, to uncover vulnerabilities, secrets, misconfigurations, and other security risks.
This role offers a unique opportunity to build the infrastructure that powers our deep forensics engine. Youll help reconstruct customer file systems across multiple operating systems, extract OS-level and application-level metadata, and enable our security researchers to detect threats and vulnerabilities quickly and reliably. Your work will directly impact the safety and security of thousands of cloud environments worldwide.
Were looking for engineers who are passionate about operating system internals, large-scale distributed systems, and cloud security, and who want to make a meaningful impact by building robust, high-performance security platforms. This is also a great opportunity to take ownership, lead initiatives, and grow through collaboration, mentorship, and technical leadership.
Our Stack: Python, Linux & Windows internals, Container Runtimes, Postgres, Redis, Kafka, AWS, GCP, Azure
On a typical day youll:
Design, implement, and maintain scalable backend services for scanning and analyzing cloud workloads (VMs, containers, buckets, databases, etc..)
Build infrastructure for reconstructing file systems across different operating systems (Linux and Windows) to enable deep analysis
Integrate security detection engines for vulnerabilities, secrets, compliance, and malware
Collaborate with security researchers and product managers to translate complex requirements into impactful product features
Write clean, efficient, and testable code, ensuring high performance and reliability
Participate in design and code reviews to uphold technical excellence and team standards
Lead features end-to-end - from design and planning to deployment and monitoring
Improve system observability, performance, and resilience in production environments
Stay current with developments in the cloud security landscape, vulnerability management, and OS internals.

seeking an experienced Full Stack Engineer to help build and scale our SaaS security platform - with a growing focus on securing modern SaaS and AI-powered application ecosystems.At Valence, we protect organizations from threats created by SaaS and AI sprawl by unifying SaaS discovery, security posture, AI governance, and identity threat detection into a single platform. Youll work on cutting-edge cloud-native systems, helping to deliver solutions that uncover shadow AI apps, detect misconfigurations, and provide robust APIs and interfaces to empower security teams. ‍

Responsibilities
Hands-on end-to-end development of core features across the stack (backend, frontend, cloud services).
Work in a cloud-native environment (Azure) and microservices architecture, writing high-quality, maintainable code
Build robust APIs and UI components from design to full implementation
Improve developer experience (DX), test automation, system architecture, and infrastructure
Participate in peer code reviews, sprint planning, and technical discussions
Own technical challenges around scalability, performance, and secure data flows as the product and user base grow
Engage with emerging areas like AI usage patterns, anomaly detection, API protection, and identity security

The Agentless Scanning team is expanding our security platforms capabilities by delivering comprehensive cloud protection that complements our industry-leading agent technology. Weve evolved from pioneering Data Security Posture Management (DSPM) to building a unified agentless platform that combines data security with vulnerability scanning, providing complete visibility across multi-cloud environments.

Our technology scans cloud workloads, identifies vulnerabilities, and secures sensitive data across AWS, Azure, and GCP - extending our protection to cover every aspect of your cloud infrastructure. Were solving some of the most challenging problems in cloud security: how to provide deep visibility and protection at scale across diverse cloud services and configurations.

Were a team of builders and innovators who thrive on complex technical challenges. If youre energized by distributed systems, cloud-native architectures, and the opportunity to protect thousands of organizations worldwide, we want to hear from you.

Join us in expanding our security platform, where innovation meets impact.

What Youll Do:

Architect and build scalable backend services that scan millions of cloud resources daily across multi-cloud environments.

Design and implement distributed systems that process massive volumes of security data with high reliability and low latency.

Develop agentless scanning capabilities for vulnerability detection, configuration assessment, and data security across cloud workloads.

Collaborate cross-functionally with security researchers, product managers, and fellow engineers to deliver features that customers love.

Own features end-to-end - from design and implementation through deployment, monitoring, and iteration.

Drive technical excellence through code reviews, architectural discussions, and mentoring team members.

Solve complex challenges in cloud security, data processing, and distributed systems at enterprise scale.

The Falcon Cloud Security team is looking for a hands-on Engineering Manager / Team Lead to lead the development of Agentic Workflows - a transformative initiative aimed at automating complex security operations using AI-native agents. You will lead a team of talented engineers while remaining deeply technical, helping architect and build autonomous systems that don't just alert but actively reason, investigate, and remediate security risks across multi-cloud environments.
As a player-coach, you will help shape the "brain" of our cloud security platform, guiding both the people and the technology that leverages large-scale data and AI-driven logic to help customers discover misconfigurations, prioritize risks, and automate defensive actions at scale.

What You'll Do:

Lead & Grow a Team: Manage, mentor, and develop a team of backend engineers, fostering a high-trust, high-performance culture. Conduct regular 1:1s, support career growth, and drive hiring to scale the team.

Stay Hands-On: Remain an active technical contributor - designing, reviewing, and writing production-quality code alongside your team. Lead by example and maintain a strong engineering presence.

Design & Architect: Drive backend engineering efforts to build autonomous agentic frameworks, guiding the team from rapid prototypes to large-scale production applications.

Develop Core Logic: Contribute to and oversee the development of decision-making engines and workflows that allow security agents to interact with cloud APIs (AWS, Azure, GCP) and internal data streams.

Data Integration: Guide the development of high-performance data integrations and streaming services (Kafka) to feed real-time security data into agentic models for continuous reasoning.

Scale Systems: Architect and oversee distributed systems capable of processing billions of security events to provide actionable posture intelligence and automated remediation.

Drive Cross-Functional Collaboration: Partner with Product, Design, and peer engineering teams in a "startup-like" environment to define and deliver new platform capabilities with speed and quality.

Raise the Bar: Champion engineering excellence, new technologies, and best practices across the team and broader engineering organization.

The Falcon Cloud Security team is looking for a hands-on Engineering Manager / Team Lead to lead the development of Agentic Workflows - a transformative initiative aimed at automating complex security operations using AI-native agents. You will lead a team of talented engineers while remaining deeply technical, helping architect and build autonomous systems that don't just alert but actively reason, investigate, and remediate security risks across multi-cloud environments.
As a player-coach, you will help shape the "brain" of our cloud security platform, guiding both the people and the technology that leverages large-scale data and AI-driven logic to help customers discover misconfigurations, prioritize risks, and automate defensive actions at scale.

What You'll Do:

Lead & Grow a Team: Manage, mentor, and develop a team of backend engineers, fostering a high-trust, high-performance culture. Conduct regular 1:1s, support career growth, and drive hiring to scale the team.

Stay Hands-On: Remain an active technical contributor - designing, reviewing, and writing production-quality code alongside your team. Lead by example and maintain a strong engineering presence.

Design & Architect: Drive backend engineering efforts to build autonomous agentic frameworks, guiding the team from rapid prototypes to large-scale production applications.

Develop Core Logic: Contribute to and oversee the development of decision-making engines and workflows that allow security agents to interact with cloud APIs (AWS, Azure, GCP) and internal data streams.

Data Integration: Guide the development of high-performance data integrations and streaming services (Kafka) to feed real-time security data into agentic models for continuous reasoning.

Scale Systems: Architect and oversee distributed systems capable of processing billions of security events to provide actionable posture intelligence and automated remediation.

Drive Cross-Functional Collaboration: Partner with Product, Design, and peer engineering teams in a "startup-like" environment to define and deliver new platform capabilities with speed and quality.

Raise the Bar: Champion engineering excellence, new technologies, and best practices across the team and broader engineering organization.

The Agentless Scanning team is expanding our security platforms capabilities by delivering comprehensive cloud protection that complements our industry-leading agent technology. Weve evolved from pioneering Data Security Posture Management (DSPM) to building a unified agentless platform that combines data security with vulnerability scanning, providing complete visibility across multi-cloud environments.

Our technology scans cloud workloads, identifies vulnerabilities, and secures sensitive data across AWS, Azure, and GCP - extending our protection to cover every aspect of your cloud infrastructure. Were solving some of the most challenging problems in cloud security: how to provide deep visibility and protection at scale across diverse cloud services and configurations.

Were a team of builders and innovators who thrive on complex technical challenges. If youre energized by distributed systems, cloud-native architectures, and the opportunity to protect thousands of organizations worldwide, we want to hear from you.

Join us in expanding our security platform, where innovation meets impact.

What Youll Do:

Architect and build scalable backend services that scan millions of cloud resources daily across multi-cloud environments.

Design and implement distributed systems that process massive volumes of security data with high reliability and low latency.

Develop agentless scanning capabilities for vulnerability detection, configuration assessment, and data security across cloud workloads.

Collaborate cross-functionally with security researchers, product managers, and fellow engineers to deliver features that customers love.

Own features end-to-end - from design and implementation through deployment, monitoring, and iteration.

Drive technical excellence through code reviews, architectural discussions, and mentoring team members.

Solve complex challenges in cloud security, data processing, and distributed systems at enterprise scale.

our company 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, delivering the best User Experience for our customers, and providing deep visibility into workload performance through rich metrics that help users optimize their ai workloads. 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 youll 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 collaborators 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.

Required Senior Windows Agent Tech Lead GenAI Protect
Israel: Tel Aviv/ Hybrid (Israel)
R&D | Full Time | Job Id: 24447
Why Join Us?
We are on a mission to secure the AI transformation that every company is going through, and the OS-level agent is at the heart of that mission. This is your chance to join the fastest growing area and build technology that will shape how cybersecurity works in the AI era. You will be part of a multidisciplinary team that includes AI researchers, cloud engineers, and OS experts from Israel and from acquisitions like Lakera, all working together to deliver cutting-edge solutions to the largest customers in the world.
We are building the Windows agent that powers GenAI Protect, our flagship initiative to secure AI workflows across endpoints, browsers, and SaaS. In this role you will help define how AI and security intersect at the OS level and solve problems no one has solved before. If you want to work on technology that sits on the critical path of how people and machines use GenAI every day, this is where you want to be.
Key Responsibilities
Own the Windows protection layer: design and implement the core proxy, hooks, and anti-tampering mechanisms for GenAI agents.
Collaborate with Mac, Cloud, and Security Engine teams to build unified multi-platform behavior analysis.
Design IDE and developer environment integrations to monitor and protect AI-driven code flows.
Deliver production-ready, high-performance agent components with deep OS-level visibility.
Influence architecture decisions, threat models, and agent-core evolution.