We're building our Cyber Threat Intelligence platform - an AI-first product that harvests, contextualizes, and serves threat intelligence at scale. We're looking for a Python-native backend engineer to own the infrastructure that makes this possible.
You'll design and build the systems that power both agentic AI workloads and large-scale data orchestration - exposing CTI insights as a service to UI components, APIs, and autonomous agents across the ecosystem. This is a greenfield opportunity where you'll shape foundational architecture decisions on a new product with a small, high-impact team.
Responsibilities
Build the tooling and infrastructure that enables AI agents to consume and reason over threat data.
Develop systems that harvest data from open and dark web sources, cross-reference signals, and contextualize raw intelligence into actionable insights.
Serve curated CTI data to various consumers - dashboards, internal services, and other agents in the platform.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Design and scale agent-based systems along with robust evaluation frameworks.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Create developer tooling and experiences that make the platform usable for other engineers building on top of it.

We're looking for passionate, talented people who want to be part of a winning team. You'll find a culture of collaboration, innovation, and respect. We're guided by our core values, and we're committed to creating an environment where everyone can do their best work. We also offer a competitive salary, generous benefits, and a flexible work environment that allows you to thrive both personally and professionally. If you're ready to grow your career and make a difference, we'd love to hear from you.

We are currently expanding our R&D center in Tel Aviv, where we are building advanced data systems, automation infrastructure, and intelligent workflows that power our products and enable the next wave of innovation in advertising technology.

This role focuses on building reliable data systems and automation infrastructure, while helping us introduce AI-driven and agentic automation capabilities that improve how our engineering and data platforms operate.

What You Will Do
Design and build backend services using Node.js and TypeScript.
Develop and maintain data pipelines and automated workflows.
Work with Snowflake, MongoDB, and large datasets.
Improve reliability and performance of data processing systems.
Build and maintain automation infrastructure that supports data and platform operations.
Design systems that help automate engineering and data workflows.
Write unit and integration tests for backend services and workflows.
Collaborate with analysts and product teams to translate complex workflows into scalable systems.
Participate in improving engineering standards, testing culture, and development practices.
Drive the next generation of automation across the platform by designing AI-driven and agentic workflows that enhance how our engineering and data systems operate.

Your Day-to-Day Work
Developing backend services and APIs.
Optimizing queries and data processing workflows.
Building reliable systems for processing large-scale data.
Designing and implementing automation processes across data and engineering workflows.
Supporting AI-driven and agentic automation initiatives across internal systems.
Writing automated tests to ensure system stability.
Collaborating with engineers in Israel and global teams.

we are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
As a Senior Backend Engineer in the Routing team, you will be responsible for designing, building, and scaling the backend systems that power our companys core products. Youll work on high-impact, distributed services that manage geospatial data, large-scale databases, real-time events, and mission-critical workflows used across multiple teams and regions. Your work will directly influence system reliability, performance, and developer productivity at scale.
You will collaborate closely with Product, Infrastructure, Data, and other engineering teams to define system boundaries, evolve shared services, and ensure our backend platform can support rapid product growth. You will be part of a highly skilled and motivated engineering group responsible for building robust, scalable, and maintainable backend systems that operate in real time and at high load.
What Youll Do:
Design, build, and scale backend systems and data pipelines that power our companys GIS and mapping platform, from initial design through production deployment and long-term ownership.
Own features end-to-end with strong accountability, including design, implementation, testing, deployment, monitoring, and ongoing maintenance.
Develop and maintain Python-based data pipelines that ingest, process, and transform large-scale OpenStreetMap (OSM) and other geospatial datasets.
Model, store, and query complex geospatial data using PostgreSQL and PostGIS, including road topology, zones, polygons, points, and other business-critical spatial entities.
Optimize database schemas, spatial indexes, and queries to efficiently handle large datasets and high-throughput workloads.
Build and maintain backend services and APIs that expose geospatial and mapping data to other backend services, frontend applications, and data consumers.
Collaborate closely with other backend teams, frontend teams, data teams, and infrastructure to align on data contracts, system boundaries, and cross-team initiatives.
Improve system reliability, observability, and performance through monitoring, alerting, benchmarking, and continuous optimization.
Contribute to architectural decisions, technical standards, and best practices, while mentoring other engineers and raising the overall engineering bar.

Cortex Cloud Application Security (AppSec) is building the security platform for the modern software development lifecycle. We help organizations identify, prioritize, and prevent security risks across source code, open-source dependencies, infrastructure as code, secrets, container images, CI/CD pipelines, and the broader developer ecosystem.
At the heart of AppSec is a large-scale platform responsible for connecting to customers' development environments, collecting and processing massive amounts of data, and making it reliably available to security products and experiences across Cortex Cloud.
We are looking for an exceptional Senior / Principal Backend Engineer to join our AppSec Platform group, reporting directly to the Group Leader.
This is a highly autonomous, hands-on role for an engineer who wants broad technical ownership rather than a narrowly defined domain. You will work on some of AppSec's most important and challenging engineering problems - spanning high-scale distributed systems, data infrastructure, onboarding and integrations, developer experience, reliability, performance, and AI-driven engineering.
You will frequently operate across team boundaries, take ambiguous problems from idea to production, and lead technical initiatives that have an impact well beyond a single service or team.
We are looking for someone who combines deep backend expertise with strong execution: an engineer who can design the architecture, dive into the code, debug production systems, challenge existing assumptions, rapidly prototype new approaches, and bring others along with them.
Key Responsibilities
Lead Critical Initiatives End-to-End - Own complex, business-critical engineering efforts from problem definition and architecture through implementation and production, often spanning multiple teams and domains.
Build and Scale the Backbone of AppSec - Design and evolve distributed systems and data infrastructure supporting large enterprise environments and hundreds of millions of entities, while balancing scalability, reliability, performance, and cost.
Stay Hands-On and Raise the Engineering Bar - Write and review production code, solve complex technical problems, and champion excellent architecture, maintainable code, testing, observability, and production ownership.
Drive Performance & Reliability - Identify architectural and operational bottlenecks and lead meaningful improvements in scalability, resiliency, efficiency, observability, and production readiness.
Shape DevEx and AI-Driven Engineering - Improve how engineers build, test, debug, and operate software while leveraging AI, automation, and agentic approaches to accelerate development and unlock new capabilities.

We are looking for an experienced Backend Engineer to help build the core infrastructure behind our company's agentic AI system.
our company builds AI Digital Employees who help cyber teams close the execution gap. Our first AI Digital Employee, Alex, learns, understands and takes away the burden of Identity and Access Management (IAM) tasks - proactively completing the organization's cyber objectives.
About the Role:
We are looking for a strong Backend Engineer with 5+ years of experience to help build the core infrastructure behind our company's agentic AI system. This is not another workflow tool: we are building something new, in a category that does not really exist yet. You will work on the services, orchestration, integrations, data models, retrieval layers, guardrails, and evaluation infrastructure that let AI agents reason over enterprise context and take reliable action.
This role is deeply product-facing and infrastructure-heavy. Our customers are large enterprises that manage tens of thousands of identities, so the systems we build need to be secure, observable, reliable, and able to operate at real scale.
What You'll Do:
Build production backend services in Python that power our company's agentic AI platform.
Design and implement AI-agent orchestration, tool-calling infrastructure, workflow execution, guardrails, and evaluation loops.
Integrate with enterprise applications, identity providers, SaaS tools, and customer data sources so agents can understand context and execute tasks safely.
Build systems that ingest, model, and reason over organizational processes, permissions, policies, and internal knowledge.
Solve scale and reliability challenges for large enterprise environments with tens of thousands of identities.
Collaborate closely with product, AI, and customer-facing teams to turn ambiguous business processes into reliable automated experiences.
Own reliability, observability, performance, and security for production systems.

Our engineering team is at the core of how modern data security is built. We are redefining how organizations understand and protect their most sensitive data in a world of growing scale, speed, and complexity. By combining high-performance systems with intelligent, AI-driven capabilities, we challenge traditional approaches and push the boundaries of what data classification can achieve.
Were looking for engineers who thrive in open-ended environments, are energized by hard problems, and are motivated to build solutions that dont yet exist. This role is about more than writing code. Its about shaping how intelligent systems detect, interpret, and protect data across cloud and endpoint environments.
In this role, you will play a central part in designing and building a core classification engine that powers multiple security solutions across the platform. Your work will directly influence how different products identify risk, enforce protection, and operate at scale. Youll work at the intersection of large-scale systems and applied AI, turning raw signals into accurate, reliable insights that help customers secure their data with confidence.
Key Responsibilities
Build and scale AI-driven data classification and detection capabilities for next-generation data security products.
Design systems that identify, classify, and protect sensitive data in real time across cloud and endpoint environments.
Lead technical design discussions and influence architecture for large-scale data processing systems.
Partner with product, infrastructure, and other engineering teams to deliver tightly integrated solutions.
Solve complex engineering challenges related to scale, performance, reliability, and operations.
Raise the technical and collaborative bar by mentoring, sharing knowledge, and improving team practices.
Proactively suggest ideas, lead initiatives, and drive continuous improvement across the product and engineering processes.

Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding , we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time — with zero human intervention . Our platform runs in production at global enterprise customers, including Fortune 500 companies , delivering mission-critical resilience and sub-second optimization We are looking for a Senior Backend Engineer to build the systems behind Zipher’s autonomous execution engine. You will own core infrastructure that turns high-volume telemetry and changing cloud conditions into reliable, real-time decisions across production data and AI workloads.
What You’ll Do
* Architect and scale the core backend services that power real-time workload orchestration, optimization, and self-healing
* Build resilient, high-throughput systems for processing distributed state, event streams, and production telemetry at scale
* Design infrastructure that makes autonomous decisions observable, explainable, and safe for enterprise engineering teams
* Partner closely with data, ML, and platform engineers to bring optimization models and control loops into reliable production systems
* Drive architectural decisions, raise the engineering bar, and own services from design through deployment, observability, and incident response
What We Offer
* A chance to build the core execution engine for a new category of autonomous data platform High ownership from day one : real architectural influence, direct exposure to founders, and responsibility for mission-critical systems
* Technical, high-velocity team that values curiosity, speed, and engineering craftsmanship Top-of-market compensation and meaningful equity Ready to build the infrastructure that lets data and AI workloads run autonomously? Hit Apply.

We are looking for a Senior Backend Engineer (AI DLP) to join the team building our next-generation DLP product. The team is extending our data-security platform from understanding sensitive data at rest to protecting it at the moment it is used or shared-including across browsers, GenAI applications, and employee endpoints.

You will help build the control plane behind this product: the services that manage endpoint identity and enrollment, policies, classification, device configuration, telemetry, and the connection between our DSPM intelligence and real-time DLP decisions. This is a role with substantial technical ownership, direct customer impact, and close collaboration across Product, Research, Data, Frontend, and Infrastructure.

Responsibilities
Design and implement core backend components of our DLP control plane.
Own features end-to-end: architecture, implementation, testing, rollout, observability, and production operation.
Build secure, reliable multi-tenant services that communicate with browser extensions and endpoint agents deployed across customer endpoint fleets.
Connect our DSPM classification and policy systems with real-time endpoint enforcement, translating data-at-rest intelligence into actionable protection.
Design APIs and data models that support large endpoint fleets, frequent policy updates, offline clients, credential rotation, and safe software upgrades.
Improve the scalability, performance, reliability, and operational visibility of the DLP platform.
Conduct design and code reviews and help establish strong engineering practices.

Were hiring a ML Engineer to accelerate AI-driven innovation across B2B SaaS platform.
Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.
What You Will Do:
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.

Required Senior Backend Engineer - AI Framework (Python)
As a Senior Backend Engineer on our AI Framework team, you will build the foundational platform that enables the entire organization to design, evaluate, deploy, and operate AI agents at scale. This is a new, high-impact team responsible for creating the frameworks, tools, and guardrails that power our agentic ecosystem.
Youll work deeply in the agentic space, designing systems for orchestration, evaluation, observability, and safety. The platforms you build will be used by multiple teams across, making your impact immediate and company-wide.
Youll Own:
Agentic Framework Architecture: Designing and building our internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our broader backend ecosystem.
Agent Runtime and Execution Engine: Building the runtime responsible for orchestrating agent execution, managing tool calls, maintaining state and memory, and ensuring reliable execution across distributed systems.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
Youll Impact:
Company-Wide AI Enablement: Empowering every engineering team to build agent-based solutions faster, with higher quality and confidence.
Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.