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As a Principal Data Engineer, you will be integral to the security research group, designing, building, and maintaining the data pipelines and data frameworks that are the backbone of our cyber attack detection capabilities. You will work closely with top security and AI researchers, enabling their work and seeing the direct impact of your contributions on our services and the day-to-day effectiveness of the research team.
Key Responsibilities
Lead the design and implementation of end-to-end, complex data pipelines and data platforms in cloud environment.
Collect, analyze, and translate complex data requirements from various stakeholders including data analysts, developers, and Cyber security researchers.
Develop robust, scalable Cloud based data solutions using Python and distributed processing frameworks such as Apache Beam (Dataflow) , GKE , Spark , etc.
Utilize AI as part of the development cycle, including generating, reviewing, and testing code via prompts.
Model and manage data within cloud MPP databases and data lakes such as BigQuery, Redshift, or Snowflake.

As a Principal Software Engineer, you will be a technical trailblazer responsible for the architecture and evolution of our automation ecosystems. This role requires a visionary who can bridge the gap between emerging LLM research and production-grade reliability. You will define the technical foundations that enable autonomous security workflows, ensuring our platform is forward-compatible with the rapidly evolving Agentic AI landscape.
Your Impact
Architectural Leadership: Define and own the technical vision for the Cortex Platforms automation foundations and Agentic AI integrations.
System Design for Autonomy: Architect highly resilient and non-deterministic systems, designing abstract frameworks that optimize security workflows for autonomous planning and execution.
Advanced Problem Solving: Define the right technical approach for emerging challenges where no proven solution yet exists, specifically addressing LLM limitations like latency, hallucinations, and determinism.
Scalable Engineering Standards: Define global technical standards for the platforms automation ecosystem, merging advanced CI/CD governance with robust telemetry and metrics to track execution health across thousands of production tenants.
Technical Alignment: Align diverse engineering stakeholders around a single, cohesive technical direction for platform-wide automation and integration features.
Strategic Reliability: Drive step-function improvements in system reliability and quality, establishing a technical roadmap that anticipates the next generation of Agentic Response.

We are looking for a Security Researcher to join our research group as part of a growing team developing Autopilot, an innovative product for autonomous investigation and response.
As a core member of the team, you'll go beyond research: youll research, design, and develop investigation modules that allow Autopilot to autonomously detect, investigate, and respond to advanced threats at a massive scale.
Youll analyze everything from new malware behaviors to attacker techniques and process activity in enterprise-scale networks, using data collected from across millions of endpoints. Your work will span identifying attack patterns and uncovering statistical anomalies, as well as validating that the system responds effectively to real-world attacks and APT campaigns using production data.
Key Responsibilities
Research and implement new autonomous methods for investigating and responding to targeted attackers, using large-scale, diverse security datasets
Develop and design the graph-based algorithms that power autonomous investigation and decision-making capabilities
Design automated incident response by developing reusable logic that transforms raw security data and alerts into clear, actionable insights.
Leverage graph algorithms, AI techniques, and statistical methods to mimic and scale human security analyst workflows
Conduct deep, hands-on investigations into modern malware, APTs, and complex attack flows to inform detection and response logic
Stay up to date with attacker methodologies, tools, and techniques (TTPs), ensuring our product remains effective against evolving threats
Contribute to a collaborative, fast-paced research team, helping shape our research strategy, improve processes, and continuously enhance the product.

We are searching for a seasoned Team Leader to lead a team of engineers in one of our growing R&D departments. Ultimately, you should be able to hold all aspects of feature development within the team in order to maintain functional and stable product features for our SAAS application in accordance with the companys needs.
Responsibilities:
Lead a team of 4-6 engineers, both backend and frontend, in an Agile environment
Participate in the entire application lifecycle, from design to production
Work closely with the teams product manager
Collaborate with other teams in curtain features or capabilities
Conduct design and code reviews, Mentor and be a focal point for the team
Be aligned with the team technical Needs and capabilities
Gather and address technical and design requirements

We are seeking an experienced Software Developer to join our IT Business Applications department. This team is responsible for developing and maintaining internal applications that support our business operations. The ideal candidate will have strong expertise in both .NET/C# and Python development, with a proven track record of building scalable cloud-based applications.
What Youll Do:
Lead and participate in the full application lifecycle, from requirements through architecture, development, and monitoring
Design and build scalable backend services and RESTful APIs
Develop clean, maintainable, high-performance code
Contribute to system architecture and cloud-native scalability
Collaborate with cross-functional teams to deliver new features
Apply modern development practices and participate in code reviews
Leverage emerging technologies, including AI tools, to enhance applications

The Cortex Cloud Data Security Platform is responsible for helping customers understand what data they own, how that data is being used, and how to protect their most sensitive data from cyber attacks and compliance breaches. Data is always the target for attackers and is also one of the most important assets an organization owns today. Helping an organization understand their data footprint and security drives priority and helps impact the entire security program. We are looking for a Director of Product Management who can help us design, build and ship industry defining products to help cloud security and data security teams protect their organization's most valuable assets - their data.
Key Responsibilities
Lead a product management group that will deliver the entire product life cycle - collect customers feedback and hear their need, prioritize features and trade offs, write the product requirements and work closely with engineering group to deliver the roadmap
Lead Cortex Data Security and grow it to new horizons by bringing innovative and disruptive approaches, and ensure that they can be effectively launched
Working effectively with all areas of the organization in a global company, from engineering to sales
Understand cloud and data security practitioners, often being able to directly relate to and understand use cases
Work closely with our customer success, marketing and sales teams on supporting existing customers, identifying common user problems and taking the solutions you define to market
Work closely with UX/ UI experts to create an intuitive and state of the art user interface.

Cortex is expanding. We combine the high energy of a startup with the massive resources of the worlds cybersecurity leader. We aren't just processing data; we are managing hundreds of petabytes of it, waiting Cortex for you to apply your "magic" to invent the next generation of threat detection. As a Principal Software Development Engineer, you will be a cornerstone of the Cortex Detection Backend team. This role is designed for a technical powerhouse who thrives in the "sweet spot" between high-level architectural strategy and hands-on execution. You will influence our product roadmap, mentor elite engineers, and build systems that protect thousands of the world's most sensitive organizations.
Key Responsibilities
Architect & Innovate: Design and build a new set of capabilities focused on Data Analytics and Threat Detection. You will solve cloud security challenges that have never been tackled before.
Scale Without Limits: Ensure our microservices architecture remains robust and resilient under massive loads, processing millions of events per second.
Technical Leadership: Act as a technical sounding board and mentor. You will guide design discussions, conduct deep-dive research, and foster a culture of engineering excellence.
Strategic Collaboration: Work closely with Product Management, R&D leaders, and Security Researchers to define requirements and turn ambiguous problems into elegant technical solutions.
Drive Execution: Take ownership of the software development life cycle, ensuring high-velocity delivery in a fast-paced Agile environment.

abra's R&D division is seeking a Senior Devops Engineer to join our team! We are looking for an experienced DevOps Engineer who will design and implement Microservices and CI/CD architecture. The role requires expertise in OpenShift, Azure DevOps, and Terraform. Key Responsibilities:
* Design and implement Microservices architecture based on OpenShift and K8S in On-prem environments.
* Define and manage CI/CD processes and configurations in Azure DevOps.
* Develop and maintain Infrastructure as Code (IaC) using Terraform.
* Manage code and infrastructure management systems such as JFrog and GitHub.
* Lead technological integrations and provide end-to-end DevOps solutions.

We are looking for an experienced and highly capable Product Manager to join our product team and take a leading role across our Claims Management System (CMS) and Clive AI, our next-generation, agentic AI claims platform. This role sits at the heart of our mission: transforming claims handling with a modern, end-to-end claims platform and intelligent, AI-first automation.

The ideal candidate brings a proven track record of driving successful B2B products, deep domain expertise in insurance - especially claims - and hands-on experience building or shipping AI-driven and agentic AI capabilities. Success in this role means moving fluently between core claims workflows in the CMS and the AI capabilities that increasingly power them.

What You'll Do

Lead key product areas that span both our CMS and Clive AI - owning specific parts of each product and playing a central role in redefining claims operations through robust core workflows and autonomous, AI-first agents.
Work directly with customers, users, and internal/external stakeholders to understand, map, and prioritize needs across the full claims lifecycle.
Own the product roadmap for your areas end-to-end - defining priorities, solutions, and success metrics while managing the full product lifecycle, from ideation to production and iteration, in close coordination with the R&D and PMs leading adjacent areas.
Identify opportunities for expanding customer value, introducing new capabilities for deeper automation while continuing to strengthen the core claims platform.
Partner closely with engineering, design, and delivery teams to ensure high-quality execution and seamless cross-functional alignment.
Document and communicate product value and functionality clearly to prospects, customers, and internal stakeholders, becoming the subject-matter expert for your product area.

We are looking for one architect to own both layers. Your foundation is deep platform and DevOps architecture: reliability, scalability, security, and cost efficiency of the cloud platform every R&D team builds on. Your growth edge is the AI layer: designing how agents are orchestrated, how they access tools and data safely, how we evaluate whether they work, and how we govern their cost and behavior in production.

We know agentic AI is a young discipline. We are not looking for a decade of AI experience that does not exist. We are looking for a proven platform architect who has spent the last one to two years genuinely building LLM-based and agentic systems in production, and who wants to own where this field goes inside a company that takes it seriously.

What Youll Do:
Platform & DevOps
Cloud Architecture: Own the architecture of our cloud platform, including GKE fleet design, VPC networking, IAM/Workload Identity, and multi-environment strategies across GCP (and AWS where relevant).
IaC & GitOps: Lead Infrastructure-as-Code (Pulumi, Terraform) standards, ArgoCD deployment patterns, and secure CI/CD paved paths (GitHub Actions, GitLab CI) adopted by all R&D teams.
Reliability & Observability: Own reliability architecture, including Disaster Recovery (DR) strategy and drills, P1 incident reduction, MTTR improvement, and observability platform architecture (Datadog, Prometheus, Grafana, OpenTelemetry) including usage and cost optimization.
FinOps: Drive FinOps as an architectural discipline-rightsizing, idle-resource elimination, unallocated-spend attribution, and cost-aware design reviews using tools like Kubecost or GCP Cost Management.
Agentic AI

Agent Architecture: Design our agentic AI ecosystem, focusing on agent orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen), tool/MCP (Model Context Protocol) interfaces, vector databases/memory strategies (e.g., Pinecone, Qdrant, pgvector), and production AI deployment patterns.
Evaluation & Guardrails: Build the evaluation and guardrail layer for AI in production using frameworks like Ragas, TruLens, or LangSmith. Define permission models, human-in-the-loop checkpoints, audit logging, and policy-as-code for AI usage.
AI FinOps & Monitoring: Own AI cost observability, token spend monitoring, model routing strategies (optimizing for cost/quality/latency trade-offs), and real-time alerting on runaway model usage.
Reference Architectures & Standards: Define reference architectures for teams building AI features, RAG patterns, prompt versioning/management, and model API standards (OpenAI API, Anthropic, open-source models via vLLM/Ollama), driving high-leverage AI automation across R&D.

As a Data Scientist, you will apply your expertise in software engineering, LLM agents, and cybersecurity to build new defense techniques against cyber-villains. You will be a driving force in designing and developing groundbreaking, Agentic LLM-based security solutions that block attacks before they begin. Join our innovative team to shape the future of cybersecurity and impact millions of customers.
Important: this role requires a unique combination of hands-on software engineering skills as well as previous experience with designing and delivering LLM-driven products.
Key Responsibilities
Contribute to a diverse and highly skilled research group that pioneers state-of-the-art technologies to protect our customers.
Utilize analytical rigor, statistical methods, programming, and data modeling to analyze vast amounts of data, applying your cybersecurity knowledge to guide our focus and approach.
Design and implement agentic LLM solutions to face modern cybersecurity challenges.
Decompose complex problems scientifically and provide actionable insights and recommendations to both technical and non-technical stakeholders.
Lead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment.

Required Senior Fullstack Engineer
About the Role
As a Senior Full-Stack Engineer, youll be at the forefront of building and scaling our product from the ground up. Youll work closely with your team, as well as a product and product designer, to design and implement both the front-end user experience and back-end logic that powers our platform.
Youll play a key role in creating modern UI components, building API services, and contributing to core architectural decisions in a high-impact, low-ego team environment.
What youll do:
Design and implement scalable Senior Full Stack Engineer features and components using NodeJS and React
Build and maintain robust APIs and data pipelines to support the platform
Collaborate closely with product, design, and engineering leadership on architecture and UX
Participate in code reviews, testing, CI/CD, and overall platform improvements
Bring creativity, curiosity, and best practices to everything you build.

Join a team of senior engineers operating in a large-scale, multi-cloud production environment supporting tens of thousands of enterprise customers worldwide. This is not a typical SRE role - youll work at the core of a complex, high-impact system alongside experienced DevOps professionals in a fast-paced, cybersecurity-focused organization.
Your Impact:
Own and operate large-scale, global production environments across multiple cloud providers (GCP, AWS, Azure)
Actively monitor, investigate, and resolve incidents triggered by automated alerting systems (PagerDuty / Incident Response)
Drive end-to-end troubleshooting across complex, distributed systems with high context switching
Design, deploy, and improve monitoring and observability systems (e.g., Prometheus, Grafana) - not just react to alerts
Collaborate closely with internal teams (CX, CS, Engineering) to ensure system reliability and performance
Work hands-on with modern DevOps and infrastructure tools including Kubernetes, Terraform, CI/CD pipelines, and GitOps workflows
Develop and maintain automation and tooling (primarily in Python)
Gain deep understanding of system architecture and interconnected services
Contribute to a culture of operational excellence in a high-scale, high-availability environment
On call responsibilities:
Daytime hours (12:00-20:00)
Occasional weekends and holidays (rotation-based).

We are searching for an innovative Software Engineer that will join us and be part of a SW team
In this role you'll
Be responsible of the full life cycle development of several key applications including: Technical and statistical research, design, coding and integration
Developing and integrating new and existing software as part of a large-scale system
Tackle tough problems and find creative ways to solve them
Write high quality, functional code using C++/Rust development
Leverage our in-house autonomous tools to manage all development flow, from setting up our development environment to creating git branches and deploying services to production
Be the owner of your domain to ensure code quality, performance, and scalability of our products
Manage and complete tasks using TDD, continuous integration and modern development processes
Coach and mentor other developers and help them elevate their skills while investing in your personal growth
Be working independently but as a part of a strong and collaborative team.