דרושים » הנדסה » Senior Infrastructure Engineer

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 looking for a proactive and skilled Software Infrastructure Developer with a strong Agentic AI focus to join our team. In this role, you will design and build the infrastructure, tooling, and AI-powered automation that keep our engineering systems reliable, scalable, and intelligent.

You will be responsible for embedding GenAI and agentic capabilities into our internal developer platforms and CI/CD workflows - creating frameworks, libraries, and multi-agent systems that accelerate automation, improve system stability, and unlock new levels of engineering productivity. This is a hands-on role for someone who thrives at the intersection of infrastructure engineering and applied AI.

The ideal candidate brings deep technical expertise in Python (FastAPI) and/or TypeScript, Kubernetes, CI/CD (Jenkins, GitHub Actions), containerization, and cloud infrastructure - combined with hands-on experience building LLM-powered applications, agents, MCP servers, and RAG pipelines.

What you'll be doing:
AI Platform Development: Design and build internal AI platforms, reusable SDKs, libraries, tools, and MCP servers for agentic applications.
Agentic Workflow Development: Develop single- and multi-agent workflows covering planning, tool selection, delegation, state and memory management, execution, retries, fallbacks, error recovery, and human-in-the-loop approval.
AI-Powered Infrastructure & CI/CD: Integrate AI capabilities into Kubernetes infrastructure and Jenkins/GitHub Actions pipelines to improve development, testing, deployment, and operational workflows.
AI Observability & Evaluation: Implement agent tracing, prompt and tool-call logging, latency and error monitoring, token and cost tracking, regression testing, and failure analysis.
AI Security & Governance: Apply guardrails, access controls, auditability, and governance practices to ensure agents operate safely and reliably.
End-to-End Platform Ownership: Own AI platform capabilities from architecture through production and build reusable solutions that accelerate adoption across engineering teams.
Cross-Functional Collaboration: Collaborate with engineering and business teams to identify high-impact AI opportunities and translate them into scalable technical solutions.
AI Research & Innovation: Evaluate emerging AI frameworks, models, and cloud technologies and promote their adoption where they provide measurable value.

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.

We're hiring an experienced DevOps Engineer to join our engineering team. This role suits someone who has already spent real time operating cloud-native infrastructure at scale - not someone looking to break into the field. You'll bring a GitOps mindset, hands-on Kubernetes depth, and the independence to research and learn new tools quickly in a fast-moving, large-scale environment.
Design, operate, and troubleshoot Kubernetes clusters (EKS/AKS) at scale
Manage application delivery and infrastructure using GitOps tools (ArgoCD/Flux)
Build and maintain Helm charts and Kustomize overlays for multi-environment deployments
Provision and manage cloud infrastructure using Crossplane
Own and optimize CI/CD pipelines (GitHub Actions, GitLab CI) for build, test, and deployment workflows
Maintain and extend observability stacks, including Prometheus, Grafana, alerting rules, and dashboards
Write automation scripts and tooling in Python, Go, or Bash to streamline operations
Develop internal developer portals, AI agents, and other engineering productivity tools
Support AWS infrastructure across multiple accounts and regions, including networking, IAM, compute, and storage services
Participate in on-call rotations, troubleshoot production incidents, and drive root-cause analysis
Collaborate with Platform, Security, and Application Engineering teams on infrastructure design and reliability improvements.

Required DevOps Engineer
About the role:
Our DevOps team operates the infrastructure that powers our AI and Computer Vision platform across construction sites in 15+ countries. From data pipelines and ML workloads to backend services - you'll work with a diverse, modern, Kubernetes-based stack and have real influence on how we build, deploy, and operate.
What you'll do:
Own Multi-Cloud Infrastructure: Work alongside the team to design, scale, and operate our high-scale, multi-region production infrastructure across AWS and GCP, powering construction sites globally.
Drive Kubernetes at Scale: Manage and evolve our Kubernetes platform on EKS and leveraging GitOps practices with ArgoCD and Helm to enable safe, fast, and reliable deployments.
Build Robust CI/CD: Design and maintain CI/CD pipelines that empower dozens of engineers to ship confidently - with automation, testing, and progressive delivery built in.
Tackle Diverse Infrastructure Challenges: Work hands-on with a wide variety of workloads - from heavy data processing and Computer Vision pipelines to backend services and ML inference - each with unique scaling, performance, and reliability requirements.
Ensure Reliability & Observability: Build and maintain world-class observability (metrics, logs, tracing, alerting) so that issues are caught early and resolved fast. Performance, reliability, and scalability are at the core of what you do.
Security & Cost: Partner with the team to strengthen our security posture, identity and access management, compliance, and cloud cost optimization across both clouds.
Ownership from 0 to 1: You will have real influence over our architecture and tooling. We want engineers who care about shaping what we build and how we build it, ensuring performance, security, and observability are baked in from day one.

Were looking for a highly skilled Infrastructure Engineer to join our team and own the scaling, management, and automation of our platforms distributed environments. If youre excited about building high-scale distributed systems and solving deep DevOps and infrastructure challenges, lets talk.
What Youll Do:
Own and scale infrastructure - Design, build, and optimize the backbone of our observability platform, ensuring seamless deployment across hundreds of distributed environments.
Solve complex scalability challenges - Tackle unique problems in multi-cluster Kubernetes environments, multi-cloud setups, and high-ingestion observability pipelines.
Manage data at scale - Build and optimize configurable data pipelines, ensuring efficient ingestion, storage, and querying of large volumes of observability data with resilience, consistency, and analytical capabilities.
Automate everything - Develop infrastructure as code, improve CI/CD processes, and automate environment provisioning for reliability and efficiency.
Enhance system reliability - Design robust monitoring, alerting, and s\elf-healing mechanisms for a high-scale production environment.
Collaborate cross-functionally - Work closely with backend engineers, product teams, and customers to design scalable, developer-friendly infrastructure.
Adopt and implement cutting-edge technologies - Continuously evaluate and introduce new tools and frameworks to improve scalability, performance, and cost efficiency.
Improve deployment efficiency - Optimize Helm charts, Kubernetes operators, and Terraform configurations to streamline environment creation and lifecycle management.

Key Responsibilities
We are looking for a passionate Software Developer to join our WAF SaaS Platform team, where we build, evolve, and operate our companys cloud-native WAF SaaS product.
In this role, you will develop new SaaS product capabilities while also building and operating the cloud infrastructure that powers the platform. You will work across backend services, Kubernetes environments, automation, CI/CD, monitoring, and, when needed, frontend components.
We are looking for a strong team player with a high sense of ownership, a get-things-done mindset, and the willingness to contribute across all areas of development - from UI and backend to DevOps and cloud infrastructure.
Major Responsibilities
Develop new features and capabilities for our companys WAF SaaS product, with a focus on backend services, cloud infrastructure, and DevOps-oriented development
Design, build, and maintain cloud-native infrastructure that supports customer environments, production workloads, and global SaaS deployments
Take part in creating and operating new POPs, improving customer environment provisioning, and evolving the platforms scalability and availability
Develop SaaS product capabilities such as certificate management, CDN-related flows, DDoS-related capabilities, onboarding flows, and other customer-facing platform features
Work with cloud services, CI/CD pipelines, monitoring, logging, and automation tools
Take end-to-end ownership of features and infrastructure components, from design and implementation through deployment, observability, support, and production operation
Build and maintain dashboards, alerts, and operational tools, using data and metrics to improve reliability, performance, and product decisions
Collaborate closely with developers, DevOps engineers, product managers, security researchers, support teams, and other stakeholders
Support production environments, investigate customer issues, and understand the real-world impact of features, bugs, and infrastructure changes.

We are looking for a Backend Software Engineer to join the team and help develop the integration and enforcement layer behind our products. You will work on production software deployed in diverse environments, solve complex web and infrastructure challenges, and own features from design through delivery and operation.
What youll do:
Design, build, and maintain backend and edge components that integrate our detection and enforcement capabilities into customer environments.
Develop reliable, secure, and maintainable services and SDKs, primarily using JavaScript and TypeScript.
Own the full software lifecycle, including technical design, implementation, testing, deployment, monitoring, troubleshooting, and continuous improvement.
Optimize performance and reliability for latency-sensitive components that operate directly in the request path.
Solve portability and integration challenges across different platforms, runtimes, and customer architectures.
Collaborate closely with Product, Security Research, Customer Success Engineering, and other Engineering teams to deliver end-to-end solutions.
Investigate complex production and customer-integration issues and turn what you learn into product and engineering improvements.

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.

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.