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As part of our team, you'll collaborate with software engineers, program managers, security researchers, and data science experts to develop solutions that protect, detect, and respond to evolving cybersecurity threats.  

Responsibilities
As a Software Engineer you will:

Contribute to business-critical initiatives in our Security.

Requiring deep technical skills and the ability to quickly adapt to new areas.

Improve the end-to-end lifecycle of services.

Analyze complex system behavior, and apply modern engineering practices to streamline deployments and reduce costs.

Your role involves working on high-end technologies and collaborating across disciplines to deliver impactful features.

Collaborate with multiple teams across us to deliver key customer solutions and support technology.

Leverage AI and AI-assisted engineering tools (such as GitHub Copilot) in your day-to-day work to accelerate development, automate routine tasks, and improve code quality - while exploring opportunities to integrate AI capabilities into the services you build.

In this role, you will architect and implement large-scale distributed systems, low-level platform components, and high-performance services that underpin core product stack. You will drive technical strategy across system reliability, performance, and scalability, partnering closely with product, infrastructure, and data engineering teams to deliver systems that operate at global scale with high availability and efficiency.
Software Engineer, Systems Responsibilities
Architect and implement large-scale distributed systems and platform services that support high-throughput, low-latency workloads across Meta's product infrastructure
Lead the technical design of systems components including storage layers, compute pipelines, networking abstractions, and service orchestration frameworks
Identify and resolve systemic performance bottlenecks through instrumentation, profiling, and targeted optimization across the full systems stack
Define and enforce service level objectives for owned systems, building dashboards, alerting pipelines, and runbooks to reduce mean time to mitigation during incidents
Drive reliability improvements by reducing failure surface, designing resilient rollout strategies, and leading regular resiliency and overload testing exercises
Collaborate with cross-functional partners across product engineering, infrastructure, and data science to align system architecture with evolving product and business requirements
Establish and evolve coding standards, architectural patterns, and engineering best practices for systems development across the broader organization
Leverage AI-assisted development workflows to accelerate design iteration, code generation, and systems analysis, applying sound judgment on when to rely on AI versus deep systems expertise
Mentor other engineers on systems design principles, debugging methodologies, and production operations, and contribute to onboarding programs for new team members
Lead incident retrospectives, identify root causes of complex production failures, and drive implementation of systemic improvements to prevent recurrence

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Staff Software Engineer in the Detection Platform group, you will be responsible for defining and evolving the architecture of the cloud-native systems that power our AI SIEM detection, hunting, and response capabilities, including large-scale real-time detection engines, stateful detection engines, anomaly detections, ML pipelines, agentic SOC and threat-hunting capabilities. You will participate in the design and execution of backend systems that process billions of events and several petabytes of data daily and serve tens of thousands of security specialists at enterprise and government customers worldwide.

we are looking for a Senior AI Software Engineer.
As a Senior AI Software Engineer, you'll help build that platform end to end - the agents, connectors, automation, and infrastructure that let the entire company unlock major productivity gains. You'll be designing and shipping AI that takes real work off people's plates, turning manual processes into automated ones, and building the systems that let teams do their best work faster.
Developing our use of Claude and Databricks - currently the backbone of that internal AI stack - is a key part of the mandate. Every one of our 500+ team members already uses Claude and BI in Databricks for analysis, automation, and research, and demand for deeper integrations is growing faster than our R&D team can deliver. You'll be tasked with driving these capabilities and impact to the next level - from surface-level usage to genuinely agentic, high-leverage workflows embedded across the business.
This is a hybrid role: part platform engineer, part internal-facing integration lead. You'll report to the COO and partner across AI Operations, R&D, Data Science, GTM, and other teams, owning the path from integration request to production-grade system. You'll also help build the triage and review process so the broader org can self-serve safely.
If you want to build the AI backbone of a fast-moving company - and see your work adopted by hundreds of people within days rather than quarters - this is that role.

we are looking for a Sr. Software Engineer I
You will join a team of experienced engineers and help them in developing our innovative Brand Safty products.
You will lead projects by architecting, designing and implementing solutions that will impact the core components of our system.
Youll develop new and awesome features while leveraging cloud native technology stack, do continuous improvements of our development process by adapting new technologies, and using them to solve product and engineering challenges while raising the bar of code quality and standards.

we are looking for a Senior Software Engineer - Integrations - AI/ML.
As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness speed and scale in the frameworks they already use.
We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation as a vector store, ML feature stores, and LLM-powered data applications.

Required Senior Software Engineer (Secure Agentic AI - Be'er Sheva)
Job Summary:
Were building foundational infrastructure to secure AI agents - including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to the modern agent ecosystem.
Youll help define how agents (both machine and human-facing) authenticate, obtain scoped access, perform actions securely, and leave a verifiable audit trail.
This is a unique opportunity to be part of a start-up inside the company - building the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.
Responsibilities:
Own the design and development of secure, scalable services that enable AI agents to manage their identities, secrets, and access - directly protecting critical systems and data.
Take charge of agent authentication flows and real-time access policies, ensuring seamless, reliable just-in-time, least-privilege access.
Lead the evolution of MCPs and agentic AI, transforming innovative ideas into systems that define how intelligent agents operate at scale.
Collaborate with architects and engineers to shape and deliver high-performance platform components you can take pride in.
Write clean, maintainable, and scalable code that powers some of the worlds largest and most security-conscious companies.
Drive cross-functional efforts with platform, AI, and security teams to gather requirements, influence design decisions, and bring impactful solutions to life.

Palo Alto Networks is looking for a Senior Software Engineer to join our team responsible for the machine identity and access offering, designing and developing services used as part of Palo Alto Networks' SaaS products.
The team designs and develops services that integrate closely with leading cloud vendors like AWS, Azure, GCP, and many other DevOps services and tools, providing managed access to sensitive assets in the organization.
In this role, you will be using advanced AWS micro-services, with Ruby, Golang, Java and Python through the entire SDLC from planning to production.
The team collaborates with security architects, product managers, and other development teams.
Together we produce complex and advanced solutions that meet the highest security and scalability standards.
We are looking for someone energetic and versatile to join our family and help us achieve our goals.
Design and develop new features using container-based architectures
Research new technologies and platforms
Be a member of a highly talented cross-functional development team of developers, architects, and QA engineers, in an agile oriented environment
Participate in continuous and iterative engineering cycles, emphasizing code quality, supportability, scalability, and performance.

We're looking for a Senior DevOps Engineer with a strong Developer Experience (DevEx) mindset, someone who genuinely enjoys making developers more productive by building and improving the tools, infrastructure, automation, and workflows they use every day.
You will work across CI/CD, developer tooling, automation, infrastructure, observability and productivity. Your primary focus will be making development and delivery faster, simpler, more reliable, and more cost-effective.
We need someone who can independently identify developer pain points, proactively discover opportunities for improvement, and turn them into scalable engineering solutions. You will be expected to measure the impact of your work and continuously improve critical metrics such as CI feedback time, pipeline reliability, deployment time, infrastructure cost, and overall developer productivity.
This role is a perfect fit for someone who thinks far beyond just "keeping the infrastructure running" and is excited about revolutionizing the entire engineering experience.
Your Impact:
You will tackle high-impact engineering challenges across our platform. Representative areas you will own and work on include:
Optimize CI/CD Pipeline Velocity & Stability
Improve CI Stability: Leverage AI to automatically detect recurring test failures, dynamically disable problematic tests, and open Jira tickets for follow-up.
Automate Workflows: Utilize AI to automate merge conflict resolutions and keep the merge train moving smoothly.
Accelerate CI Velocity: Architect workflows to parallelize work both across jobs and within jobs. Introduce highly effective caching strategies and local Artifactory mirrors to drastically reduce build and dependency-fetch times.
Optimize CD: Reduce container image sizes and accelerate deployment times. Partner with QA to introduce and streamline automated regression testing against tenants.
Drive Repository Security & Maintenance
Improve Security Posture: Automate the identification and remediation of Go and Python dependencies with known CVEs.
Automate Maintenance: Design systems to automatically handle Go and Python version upgrades across the codebase.
Ensure Performance: Automate performance testing to proactively detect and alert on performance regressions before they hit production.
Cloud Infrastructure & Cost Engineering
Reduce Infrastructure Costs: Identify and implement innovative opportunities to reduce overall infrastructure and resource consumption.
Resource Efficiency: Introduce mechanisms to make our "slim tenants" even more resource-efficient for development and testing.
Smart Observability: Re-architect our logging strategy by streaming GCP logs to more cost-effective sinks instead of relying exclusively on Cloud Logging.
IaC Governance: Act as a gatekeeper for infrastructure quality by reviewing Terraform Merge Requests (MRs) for correctness, efficiency, maintainability, and strict adherence to engineering standards.

We are seeking a Staff Software Engineer to serve as a technical anchor for our Identity Authentication engineering team. Driving the modernization of core, mission-critical authentication domains across our primary product, delivering massive impact at scale. You will drive the architectural design, technical roadmap, and implementation of high-throughput, mission-critical SaaS services using AWS architecture, AWS CDK, and .NET. In addition to technical execution, you will mentor engineers, guide design decisions across teams, and ensure our systems satisfy demanding scalability, security, and performance standards (NFRs).
Your Impact:
Architectural Leadership: Drive end-to-end design and system architecture for enterprise-grade Identity & User Management cloud services.
Technical Strategy: Partner with Product Managers and Security Architects to translate complex identity and cybersecurity requirements into scalable software architecture.
Engineering Standards: Elevate technical excellence across the team by setting standards for code quality, resilience, telemetry, and automated testing.
Mentorship & Growth: Technical coaching and mentoring for mid-level and senior engineers to foster team growth and best practices.
Innovation & Problem Solving: Solve complex system bottlenecks, evaluate emerging tech stacks, and optimize AWS infrastructure costs and performance.

We are looking for a Director of Product Management to lead a team of product managers building the foundational intelligence and threat engine for the entire IDIRA platform. This is a core platform leadership role whose scope spans Discovery, Context & Risk, and Threat Detection & Prevention (ITDR). Your teams capabilities will serve as the shared "brain" driving success across all IDIRA solution pillars-including PAM, IAM, Endpoint Privilege Management (EPM), Non-Human Identities (NHI), and Agent Infrastructure.
In this role, you will define, design, and ship industry-defining platform capabilities that discover unmanaged assets and shadow identities, compute real-time risk, and detect and prevent active privilege threats across every layer of the enterprise.
Key Responsibilities
Enterprise-Wide Platform Leadership: Lead and grow a high-performing group of Product Managers building shared capabilities that directly power and elevate all IDIRA product lines (PAM, IAM, EPM, NHI, and Agents).
Product Execution & Delivery: Oversee the entire product lifecycle-from gathering CISO and security practitioner feedback to defining requirements, prioritizing trade-offs, and partnering closely with Engineering to ship a unified roadmap.
Platform Vision & Strategic Horizons: Expand IDIRAs Discovery, Risk, and Threat Intelligence capabilities by introducing innovative, disruptive approaches (e.g., Identity Graphs, AI-driven behavioral modeling, and automated response workflows) that turn disparate telemetry into real-time security context.
Cross-Functional Collaboration: Partner effectively across a global organization-working closely with Engineering, Data Science, Threat Research, Sales, Customer Success, and counterpart PM leads across PAM, IAM, EPM, and NHI to ensure seamless platform integration.
Domain Expertise: Deeply understand Identity, Endpoint, SecOps, and ITDR practitioners, translating complex identity exposure, agent telemetry, and threat signals into intuitive, actionable workflows.
UX/UI & Visualization: Work closely with UX/UI design leaders to create state-of-the-art, highly intuitive user interfaces and visualizations (such as cross-domain attack path analytics and unified risk scoring dashboards).
Go-To-Market & Executive Advocacy: Act as a key platform spokesperson, presenting IDIRA's platform risk, discovery, and threat vision to enterprise customers, strategic partners, and industry analysts (Gartner, Forrester).

We are a strong, fast-moving team developing advanced solutions in one of Palo Alto Networks most innovative areas - Email Security.
We are looking for an exceptional Senior Frontend Engineer with deep technical skills, an AI-forward mindset, and a passion for creating top-tier user experiences. You will join a team that values clean, scalable architecture and high-quality code, leveraging AI to accelerate development. Working closely with Product, UX, and Backend teams, you will deliver impactful features and intuitive interfaces that help protect our customers from phishing, business email compromise, and evolving email-based threats.
Key Responsibilities
Frontend Development & Architecture: Design and develop high-performance, scalable user interfaces using Angular and TypeScript. Contribute significantly to architectural decisions and continuously evolve our core frontend features.
AI-First Development Evangelism: Build, refine, and champion AI-powered development practices, including automated testing, intelligent code reviews, and code generation. Leverage AI coding assistants to significantly accelerate delivery timelines and elevate code quality.
Feature Ownership: Take end-to-end ownership of critical frontend features, proactively challenge assumptions, and drive development to craft industry-leading user interfaces.
Cross-Functional Collaboration: Partner closely with Frontend, Product, UX, and Backend teams to accurately translate complex security needs and requirements into intuitive, seamless user experiences.

our company seeks an experienced Senior Staff Data Engineer to join our AI and Data Solutions unit and champion an AI-first strategy. You will spearhead the development of Data Lakehouse processes, model core product domains, and define data engineering best practices across the organization. Serving as a technical project lead, you will provide strong direction and collaborate with Data Science, Analytics, R&D, and IT teams to elevate onboarding workflows. This role demands a proactive approach to optimizing system capabilities and driving cross-functional data initiatives.
Key Responsibilities
Own the design, implementation, and optimization of scalable Data Lakehouse and Data Warehouse architectures across diverse cloud ecosystems.
Spearhead the development of robust ETL/ELT pipelines and data ingestion processes utilizing SQL, Python, PySpark, and DBT.
Apply advanced data modelling techniques to structure complex data assets into optimized facts, dimensions, and partitions.
Partner with cross-functional leadership across data science, analytics, R&D, and IT to identify requirements and improve workflows.
Orchestrate complex data workflows combining tools like Airflow and DBT with advanced Gen-AI development workflows using CloudCode.
Define, document, and popularize data engineering best practices, design patterns, and data quality standards across the unit.
Evaluate and implement modern data technologies spanning vendor-specific and open-source landscapes including GCP, AWS, and Apache Iceberg.
Provide technical direction and hands-on guidance to ensure high-performance execution, reliable pipeline delivery, and proactive problem-solving.

Responsibilities
Design, implement, and maintain our AWS serverless infrastructure using AWS CDK, ensuring high availability, scalability, and security.
Own and evolve our Jenkins-based CI/CD pipelines from code commit to production deployment, continuously improving speed and reliability.
Champion the use of AI-powered tools across the engineering lifecycle to reduce manual effort and improve quality.
Build and maintain comprehensive observability solutions using DataDog, including dashboards, monitors, and AI-assisted anomaly detection.
Continuously look for opportunities to improve and modernize developer workflows and incident response through smart tooling and automation.
Work hand-in-hand with fellow software engineers to design infrastructure that supports modern serverless patterns and event-driven architectures on AWS.
Drive a culture of automation and continuous improvement - if it can be automated or made smarter, do it.
Continuously evaluate and adopt emerging tools and technologies to improve the overall development, release, and operations process.

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.