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This is not a typical full-stack position. We're looking for an exceptional Staff / Principal Engineer who can own complex technical domains, shape system architecture, and lead end-to-end development while remaining 100% hands-on. You will report directly to the VP R&D, work closely with them on technical strategy and architecture, gradually take ownership of architectural responsibilities across the platform, and become one of the company's leading technical voices. Along the way you'll help mayors and other city leaders understand their residents and their city in more effective ways, improving the lives of millions of citizens around the world.

Key Responsibilities
Own complex product domains from architecture through production
Lead end-to-end feature development across frontend, backend, and cloud
Drive architectural decisions and technical direction across the platform
Design and build scalable distributed systems
Design and develop AI-powered capabilities as part of the core product
Work closely with the VP R&D on technical strategy and architecture
Mentor engineers through technical leadership (without people management)
Serve as one of the company's technical leaders, influencing engineering standards and long-term technical strategy

We are now hiring a talented, self-driven and passionate Senior Data Engineer to build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting.
What Youll Do:
Design, develop, and maintain scalable data pipelines that integrate data from multiple sources, including APIs, databases, streaming platforms, edge computing devices, cloud services, and on-premise systems.
Design reliable and business-critical data processing workflows for batch and real-time use cases.
Develop data access services and APIs that enable efficient communication between edge devices, cloud infrastructure, and on-premise environments.
Design and optimize storage solutions for structured, semi-structured, and high-dimensional sensor data to support AI model training, inference, and analytics.
Strong understanding of distributed systems and scalable data processing architectures.
Build and maintain scalable streaming data pipelines for low-latency processing and event-driven architectures.
Analyze existing data architecture, storage models, and processing workflows, and continuously improve performance, scalability, reliability, and maintainability.
Optimize cloud infrastructure and data storage costs while maintaining high availability and low-latency access.
Collaborate closely with Software, AI, Algorithms, DevOps, and Product teams to translate business requirements into scalable technical solutions.
Design monitoring, observability, and operational processes for data platforms.

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 Senior Staff Software Engineer on the Agent Platform Detection team, you will be the technical visionary responsible for defining and evolving the architecture of our detection, triage, and response platform. You will lead the design and execution of backend systems and SaaS services that power alert propagation, alert lifecycle management, and response capabilities at extraordinary scale. Your technical leadership will bridge the gap between long-term architectural strategy and high-velocity product delivery, influencing how detection and response workflows are built and operated across platform.

we are seeking a Software Engineer to join our The Merchant-Ops squad responsible for various domains and products that manage and support our merchants and their ongoing relationship with us. The team develops mobile applications, web platforms, and backend services, and is composed of skilled backend, frontend, and data engineers.
As the Merchant-Ops Lead Software Engineer, you will be responsible for the team's technical leadership, domain design, and day-to-day execution. You will collaborate closely with product managers and business stakeholders to define priorities and deliver impactful solutions that align with key business goals. We are looking for someone who can drive end-to-end ownership, balance business needs with strong engineering practices, and help shape the direction of our products.
Key Responsibilities:
Contribute to the development of our Merchant Ops products, empoweing merchants and partners with seamless tools, insights, and a reward system.
Solve complex architectural problems, utilizing your deep understanding of system architecture.
Collaborate with other team members, sharing your expertise and facilitating a culture of learning.
Maintain our system architecture, ensuring smooth operation and quality user experience.
Be an advocate for clean, efficient, and maintainable code.
Provide mentorship to junior team members, nurturing their growth and development.

we are building the technical layer that brings AI-native code quality into real engineering workflows. As our partnership ecosystem grows, were looking for a principal-level engineer to turn strategic integrations into shipped products.
In this role, youll be a technical visionary and builder. You will design and implement the next generation of Model Context Protocol (MCP) servers, APIs, and platform integrations for key strategic partners like cloud providers, Anthropic, Cursor, and OpenAI. This is a high-leverage role where your expertise will directly shape how our company- the missing quality-focused system-plugs into the complex, autonomous, multi-agent development environments of tomorrow.
Ideal for someone who thinks deeply about developer experience, moves fast, and enjoys building technical infrastructure that scales through partnerships.
Mission: Make our company unavoidable across the Agentic SDLC. Own the integration playbook that brings our company into every critical developer surface - IDEs, repos, CI/CD, code review, cloud platforms, and the AI agents shaping how software gets built. Build the technical layer that turns our company into the default quality, governance, and trust gate across the SDLC, translating cutting-edge research into integrations that scale, ship, and become embedded in how teams work.
Responsibilities
Wrap our companys capabilities as a public, composable surface. Turn our company Review, Aware, and Skills into clean, documented building blocks that any partners engineering team can adopt without hand-holding. Treat the public API, SDK, and MCP surface as a product - versioned, stable, well-documented, and obsessively focused on DX.
Be the engineering counterpart on partner conversations. Sit shoulder-to-shoulder with the Product Partnerships Lead in partner discussions. Translate ambiguous we want to integrate conversations into concrete technical scopes, integration paths (MCP vs. SDK vs. API), and shipping timelines. Be credible enough that a partners principal engineer takes the conversation seriously the first time.
Ship marketplace and cloud integrations. Own the technical execution behind cloud marketplace launches (AWS, Azure, GCP) - deployment artifacts, SaaS metering, private offer plumbing - so the commercial motion is never bottlenecked by engineering.
Define the integration playbook. Make the path from new partner interested to integration live repeatable. Document the patterns, build the reusable primitives, and reduce the per-partner engineering cost over time so the team can scale partnership volume without scaling headcount linearly.
Hold the DX bar across every partner-facing surface. Docs that work the first time. SDKs that dont surprise. Errors that explain themselves. Examples that run. If a partners engineer cant get to hello world in 15 minutes, thats on you.

As a Senior or Principal Software Engineer in Cortex Cloud, you will contribute to the development and scaling of cloud-native security solutions for enterprise organizations. This role involves working within an established team to evolve a high-traffic product, with a focus on refining architecture, optimizing the technology stack, and maintaining engineering standards.
Your responsibilities include writing reliable code, influencing product direction, and designing distributed systems. You will be expected to make technical decisions that impact the long-term stability and performance of cloud workload protection services.
AI Integration & Engineering Workflow
A core component of our development process is the use of AI. Rather than basic code completion, we integrate AI assistants as functional components of our workflow. Our team utilizes a multi-agent AI system (IDEX/ProDex) that assists across the development lifecycle: from planning and architecture to code analysis and security reviews.
In this role, you will:
Work with AI Tools:Utilize platforms such asGemini, Claude, and Cursorfor tasks beyond code generation, including root-cause analysis, system design reviews, and architectural assessment.
Develop AI-Augmented Workflows:Help refine how AI is integrated into the SDLC, including the orchestration of agents and the development of internal tools that extend AI capabilities across our codebase.
Maintain Quality Standards:While AI assists in increasing velocity, you are responsible for the technical output. This includes critical review of all generated code and ensuring that AI-assisted work aligns with our architectural requirements and security benchmarks.
Interact with Specialized Agents:Coordinate with AI agents (Product, Architecture, Security) that operate on shared context to assist in managing complex engineering tasks.
We are looking for engineers who are interested in leveraging AI as a technical tool to manage complexity and who want to contribute to the practical application of human-AI collaboration in a cloud environment.

Required Senior Software Engineer
What Senior Software Engineers do:
In this key engineering role in one of our multidisciplinary product teams, you will take end-to-end ownership of the engineering discipline and tasks that will bring the most impact and joy to millions of learners. All this while quickly learning and adapting to do whatever it takes to solve the unsolvable.

We're hiring a Senior/Principal Site Reliability Engineer to own production reliability for Cortex Agentix Endpoint Security (following an acquisition of KOI Start Up) as it scales. You'll define and operate our SLOs and error budgets, lead high-severity incident response, and ensure our Kubernetes and AWS infrastructure stays stable under growth. You'll also build and supervise the AI agents that handle routine alert triage and monitor tuning, focusing your own time on the reliability engineering that requires human judgment. This role is a strong fit for someone who treats reliability as an engineering discipline and enjoys ownership, incident command, and applying AI to operational work.
Your Impact:
Own reliability as an engineering discipline - define SLIs, set SLOs, and run error-budget-based decision-making so "how reliable are we" becomes a number that governs how fast we ship.
Own production incidents end-to-end - lead response, mitigation, and resolution for high-severity incidents, and drive blameless postmortems that feed real fixes back into the system.
Own the reliability and capacity of production infrastructure as we scale - forecasting headroom, validating scaling behavior under load, and keeping latency and error rates within SLO.
Run and evolve Kubernetes environments so releases and infra changes are safe by default across hundreds of tenant apps.
Own, build, and supervise our SRE AI agents that triage alerts, review monitors, resolves and summarize incidents. Set and expand the trust ladder that governs what the agents do autonomously, what needs approval, and what stays human. This is a core part of the role.
Improve observability and incident response - raise signal quality, cut alert noise, and own the monitoring the triage agents depend on.
Eliminate toil - relentlessly identify manual, repetitive operational work and remove it through automation and agents, protecting engineering time for reliability work that only humans can do.
Analyze operational data across incidents, alerts, deployments, infra health, and cost to find reliability gaps, capacity risks, and automation opportunities.
Evaluate and introduce new tools and AI-assisted approaches, balancing innovation with reliability, cost, and operational simplicity.

Join our Platform Frontend Engineering team, where innovation meets real-world impact.
Were building core platform foundations for Cortex, enabling other teams to deliver world-class cybersecurity applications at scale.
Our engineers are at the heart of our companys mission - to prevent cyberattacks and make the digital world safer.
Key Responsibilities
Design and develop next-generation, scalable frontend applications on the Cortex platform.
Lead the development of key frontend components, taking ownership from conception through to deployment in a dynamic, agile environment.
Proactively collaborate with UI/UX experts, product managers, and backend engineers to translate complex requirements into visionary cybersecurity products.
Research, design, and implement sophisticated and complex data visualization solutions to make security data understandable and actionable.
Uphold high standards for code quality and architecture through rigorous code reviews, automated testing, and advocating for frontend best practices.
Mentor junior engineers and contribute to a culture of continuous learning and technical excellence within the team.
Analyze and optimize application performance to ensure a responsive and seamless user experience for our customers.

In this role, you will be dedicated to safeguarding our clients data within the dynamic cloud landscape. As an expert in Data Security Posture Management (DSPM) for SaaS and DBaaS, you will develop cutting-edge solutions for data discovery, classification, and protection across platforms like Snowflake, Databricks and MongoDB Atlas. 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 grow their business securely.
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.

Get ready to shape the future of software development at our company! You'll be joining a pioneering team building our revolutionary, internal agentic AI tool. This isn't just another product; it's our solution for increasing developer productivity through advanced vibe coding using state-of-the-art LLM models.
We are developing an enterprise-grade, high-scale platform, designed to be used by thousands of our own engineers. We are looking for a tech-savvy and innovative developer who is excited to build the generative AI-powered tools that will define our next generation of engineering.
Key Responsibilities
Drive the development of sophisticated, AI-powered features end-to-end, from ideation and technical design to seamless deployment in production.
Architect and implement hyper-scalable solutions on GCP capable of supporting thousands of developers, ensuring enterprise-grade quality and reliability.
Obsess over the developer experience, passionately enhancing the user experience (UX) of the product's features to create an intuitive and powerful tool.

You will join the Platform Automation group, the central engine driving the next generation of security operations. Our team owns the foundational automation
layer of the Cortex Platform. We are responsible for the Automated Remediation capabilities that unify detection, investigation, and response across the entire Cortex suite, including XSIAM, XDR, and XSOAR, and Cortex Cloud.
As a Senior Software Engineer, you will be a high-impact technical contributor responsible for developing and scaling our automation ecosystems. This role requires an engineer who can translate emerging LLM capabilities into production-grade reliability. You will work on the technical foundations that enable autonomous security workflows, ensuring our platform is robust and compatible with the evolving Agentic AI landscape.
Your Impact
As a Senior Software Engineer, you will create simple solutions to complex problems and drive technical excellence.
End-to-End Ownership: Take full responsibility for features from inception to production, including negotiating requirements and scope with Product Managers and performing comprehensive QA/validation for your own deliverables.
Scalable Engineering Standards: Implement high-quality technical standards for the platforms automation ecosystem, utilizing advanced CI/CD governance and robust telemetry to track execution health.
Codebase Adaptability: Demonstrate the ability to quickly gain proficiency in unfamiliar, complex codebases and contribute high-quality code across different repositories and tech stacks.
AI Production Fluency: Architect end-to-end AI pipelines and design, tune, and orchestrate autonomous agentic models, keeping in mind limitations like atency, hallucinations, and determinism, seamlessly embedding advanced cognitive capabilities into scalable production systems.
Prototyping & Integration: Proactively take on new product areas, building prototypes and integrating new functionality into existing systems with minimal guidance.
Cross-Team Collaboration: Act as a technical bridge between diverse R&D teams to drive unified, complex initiatives.

We are a strong, fast-moving group developing advanced solutions in some of our companys most innovative areas - the Cortex Platform. Were looking for an exceptional Senior Frontend Engineer with deep technical skills and a passion for creating exceptional user experiences. Youll join a team that values clean, scalable architecture and high-quality code, working closely with product, UX, and backend teams to deliver impactful features that protect our customers from evolving cyber threats.
Key Responsibilities
Design and develop next-generation, scalable frontend applications on the Cortex platform.
Lead the development of key frontend components, taking ownership from conception through to deployment in a dynamic, agile environment.
Proactively collaborate with UI/UX experts, product managers, and backend engineers to translate complex requirements into visionary cybersecurity products.
Research, design, and implement sophisticated and complex data visualization solutions to make security data understandable and actionable.
Uphold high standards for code quality and architecture through rigorous code reviews, automated testing, and advocating for frontend best practices.
Mentor junior engineers and contribute to a culture of continuous learning and technical excellence within the team.
Analyze and optimize application performance to ensure a responsive and seamless user experience for our customers.

As a Software engineer on our Email Security team, you will play a key role in shaping and delivering a cutting-edge email security solution within the Cortex platform. Your responsibilities will include designing and developing an infrastructure capable of supporting billions of events per second, collecting, storing, processing, analyzing, detecting threats and making them accessible, visible and actionable for users while seamlessly integrating with the industrys leading cyber-security products. You will design and build a highly available, reliable, and secure solution that adheres to the highest standards. Beyond development, your crucial role involves meaningful cross-organizational collaboration, driving a significant impact to ensure the success of our product. Our Cortex engineering group, primarily based in the TLV office, allows us to operate at a high pace with short decision-making loops. In this role, you will need to demonstrate creativity, innovation and deep knowledge in backend engineering, conducting research to find new technologies. A can-do approach, a passion for excellence and a commitment to continuous improvement are essential qualities for success in this position.
Key Responsibilities
Take ownership of a brand new product, driving its development from concept and design to full implementation
Focus on meaningful, high impact work, building major parts of a groundbreaking new product
Build a new offering designed to operate at massive scale
Dive into new cutting-edge technologies, researching and integrating them to enhance the products capabilities.

We are seeking a highly skilled and modern software engineer to develop and prototype brand new advancements in distributed training and inference using our Spectrum-X AI fabric. This role offers a rare chance to pioneer AI and networking technology, contributing to ground-breaking projects that will define the landscape of large-scale AI systems. Improve AI app-networking connection by refining communication, crafting congestion control, coding NIC firmware, and expanding switch SDK features for enhanced AI factory efficiency. Your work impacts large AI system development, scaling, and speed.

What youll be doing:

Prototype end-to-end solutions to improve distributed training and disaggregated inference performance.

Analyze and optimize communication flows across application, transport, and network layers.

Develop system software spanning communication libraries, drivers, and firmware integrations.

Collaborate with hardware, firmware, and SDK teams to co-design network features.

Validate and integrate prototypes into our AI infrastructure and products.