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.

As Vice President of Engineering, Cloud Security, you will lead the engineering organization responsible for proactive & runtime cloud infrastructure protection. This is a highly visible and strategic role, responsible for shaping the technical vision, execution, and talent strategy for cloud security product line. Cloud Security is a growing investment for us, as customers are operating in multi-cloud environments.

You will lead teams building high-performance, cloud-native security capabilities that operate at massive scale - leveraging deep system telemetry, runtime signals, and platform internals to protect customer workloads across modern cloud environments.

What Youll Do:
Own the engineering strategy and roadmap for cloud security proactive & runtime protection across cloud providers, Container Security, serverless.
Lead development of innovative, low-latency security solutions that process data from millions of deployed sensors operating in highly sensitive environments.
Drive deep technical work across:

Cloud provider coverage, from assets to advanced risks, and attack paths
Containers, functions, and modern cloud-native assets
Kubernetes internals and orchestration
Runtime detection, telemetry, and threat prevention
Partner closely with Product Management to translate customer and market needs into scalable, high-impact security capabilities.
Build, mentor, and retain world-class engineering teams, including senior technical leaders and emerging talent.
Establish a strong engineering culture centered on technical excellence, quality, security, performance, and operational rigor.
Collaborate cross-functionally with Engineering peers, Product, Sales, and Customer-facing teams to ensure product success and adoption.
Play a key role in organizational growth through hiring strategy, team structure, and leadership development.
Communicate effectively in a remote-first environment, ensuring alignment and velocity across globally distributed teams.
Represent Cloud Security Engineering at the executive level, articulating strategy, tradeoffs, and progress to senior leadership.

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 seeking an Engineering Manager for Cloud Security Product Group.

We're 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.

This role is hybrid, on-site at TLV office. Candidates should be comfortable visiting the office at least 3 times a week.


What You'll Do:

Lead, mentor and grow a team of backend engineers, driving product vision and roadmap while remaining hands-on with code and architecture.

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.

Balance hands-on technical contributions with people management responsibilities.

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

Drive technical direction and make architectural decisions for the team.

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

Mentor and be mentored by 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.

our company is a leading hybrid cloud security company revolutionizing the way organizations manage cyber risk. We provide cutting-edge exposure management solutions by simulating real-world attack paths across cloud and on-prem environments. Our technology identifies misconfigurations, vulnerabilities, and identity exposures, allowing organizations to remediate risks with minimal effort. We are looking for a talented and motivated Software Developer Intern to join our development team in a part-time capacity. This is an exciting opportunity to gain hands-on experience working with modern cybersecurity technologies. Responsibilities:
* Develop and enhance server-side attack simulation logic using Node.js, MongoDB, and TypeScript/ JavaScript.
* Work with JAVA, Node.js, or Python to develop innovative security solutions.
* Explore and implement modern attack techniques in cloud environments (AWS, Azure, GCP) and enterprise networks.
* Collaborate with the development team to maintain and improve existing infrastructure.

Your Role:

Lead the design and development of complex, high-performance, backend services within the One ecosystem, ensuring modularity and long-term maintainability.

Own the end-to-end performance of critical platform components, optimizing for massive data ingestion and low-latency processing across global environments.

Drive architectural discussions and provide high-level input on system design, steering the team toward scalable, cloud-native best practices.

Actively mentor and contribute to code reviews and technical discussions, sharing expertise and fostering a collaborative environment for continuous improvement.

Collaborate closely with Product, SRE, QA and Security teams to implement technical solutions aligned with business objectives.

Take a production-first approach to reliability; lead root cause analysis for complex distributed system issues and implement preventative measures to guarantee system reliability.

We are seeking a Senior Backend Engineer - Data Platform to join our expanding team and play a crucial role in designing, building, and maintaining robust and scalable data pipelines and infrastructure. In this role, you will directly enable data-driven decision-making and support the development and deployment of AI/ML products that power Health.
Youll collaborate closely with engineering, product, and data science teams to ensure our data systems are high-quality, resilient, and scalable as we grow. As a Senior Backend Engineer on our Data Platform team, you will drive efforts to deliver reliable, efficient, and consistent data services across the organization. You will also help enable the rapid development and deployment of advanced features, insights, and AI-driven capabilities that improve outcomes for clinicians and clients.

Appdome’s mission is to protect every mobile app in the world and the people who use mobile apps in their lives and at work.
Appdome provides mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform, delivering rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events™ threat-aware UI/UX control, ThreatScope™ Mobile XDR, and Certified Secure™ DevSecOps Certification in one integrated system.
With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from inside mobile DevOps and CI/CD pipeline.
Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and mobile businesses globally. Today, Appdome's customers use their platform to secure over 50,000+ mobile apps with protection of over 1B mobile end users projected. About The Position We are looking for a talented Mobile Fraud Engine to join Appdome. In this role, you will develop sophisticated fraud detection and prevention components that operate at the core of our mobile threat intelligence platform — diving into signal processing, risk evaluation logic, and real-time decision-making, and translating your findings into robust, production-ready code. This position is ideal for developers who want to understand how fraud happens and use that knowledge to build innovative solutions that protect millions of mobile applications worldwide. Job Description
* Design, develop, and maintain core fraud detection and risk-scoring components within mobile apps.
* Investigate fraud patterns and mobile threat signals to develop innovative detection and prevention mechanisms.
* Own the collection of threat and device signals used by risk assessment algorithms to perform device and user behavioral profiling.
* Design systems that make split-second decisions, balancing security accuracy with user experience.
* Continuously explore emerging fraud trends and incorporate new detection techniques into our product.
* Collaborate with a multidisciplinary team of engineers, data scientists, and security experts to deliver end-to-end solutions.

Your Opportunity:
Serve as the primary technical authority and mentor for the team, providing expert guidance, performing code reviews, and setting the bar for engineering excellence.
Partner closely the leadership team to define and evolve the architecture of our end-to-end OT solution, spanning from network data collection to complex on-prem and cloud deployment scenarios.
Own architectural decisions and drive critical tech choices that ensure system scalability, reliability, and seamless integration with the broader our product suite.
Lead the systems evolution by shaping the target architecture and integrating AI-driven capabilities and advanced analytics to proactively identify network threats and failures.
Leverage complex cross-domain data and metrics to drive product performance and stability improvements.
Lead technical initiatives and discussions across Backend, Frontend, and other teams to ensure high-quality software delivery.
Collaborate with cross-functional partners, including product management and design, within an Agile environment to shape and deliver new features.

Were looking for driven and talented people like you to join our R&D team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?
As a Senior Software Engineer - AI , youll design, build, and own production grade AI agents that operate at the core of cloud security platform. Youll work on distributed, cloud native services that embed agentic AI workflows into existing microservices architecture.
This role goes beyond building AI logic: youll be responsible for operating AI systems in production, ensuring they are observable, reliable, and continuously improving through systematic evaluation and data driven iteration.
On a typical day youll:
Design and implement cloud-native, distributed services that power AI-driven security features
Build and maintain agentic AI systems that reason over large-scale cloud security data and interact with multiple internal services
Own AI agents in production, including deployment, monitoring, troubleshooting, and performance optimization
Implement observability for AI systems, including metrics, logging, tracing, and alerting for agent behavior, quality, latency, and cost
Develop continuous evaluation pipelines for agentic solutions, including offline testing, regression detection, and production feedback loops
Design and optimize RAG pipelines that operate reliably over high-volume, high-variance security data
Apply strong software engineering practices: clear APIs, clean abstractions, robust error handling, and scalable data flows
Lead services end to end - from design and implementation to deployment and long-term operation
Collaborate closely with Data Platform, Product, and Security Research teams to ensure AI behavior is correct, explainable, and trustworthy