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 DevOps Engineer at our company, youll join our R&D center in TLV. Youll be part of a team of developers and devops engineers, directly contributing to our product by using cutting-edge technologies. Youll take a critical part in our mission to shape the future of transportation, affecting tens of thousands of riders daily worldwide.
The Platform Group is a cross-functional group dedicated to building and maintaining the robust foundation on which our company operates. This team is responsible for designing, implementing, and managing cloud infrastructure, Kubernetes clusters, CI/CD systems, and tools that empower our development and production environments.
With a focus on enhancing developer experience, operational efficiency, and reliability, the team drives initiatives that:
Design and implement scalable and secure cloud infrastructure.
Develop and maintain Kubernetes clusters and related tools, ensuring high availability and performance.
Manage edge gateways, WAF solutions, and other critical infrastructure components.
Define and enforce CI/CD standards to streamline development and delivery workflows
Build tools and automation to enhance productivity across engineering teams.
Ensure the reliability, security, and scalability of production infrastructure.
What Youll Do:
Define infrastructure standards for dev teams
Design, implement and develop tools for controlling infrastructure of micro services
Build CI/CD automation and templates with GitLab
Build, maintain and operate AWS and Kubernetes infrastructure
Develop and maintain an in-depth understanding of the applications and architecture at our company
Work in contact with other teams across the company to ensure smooth and documented changes to all environments
Identify and resolve problems in mission-critical services, automating remediation procedures to prevent recurrences
Bring ideas to the table, take ownership over their project timelines and deliverables and help us scale.

We are seeking an experienced DevOps Engineer to join our Engineering team and play a key role in building and operating our cloud-native platform. The ideal candidate will have hands-on experience managing production environments at scale, driving cloud transformation initiatives, and supporting the of enterprise systems from on-premises deployments to modern SaaS and cloud-native architectures. You will be responsible for designing, automating, and maintaining scalable infrastructure, CI/CD pipelines, and deployment processes that support both our core products and emerging AI-driven capabilities. Working closely with Engineering, QA, Product, and AI teams, you will help ensure the reliability, security, and performance of our services while driving operational excellence and continuous improvement across our technology stack.
Responsibilities:
Design, implement, and maintain CI/CD pipelines.
Manage and optimize cloud infrastructure across AWS, Azure, and/or GCP.
Develop and maintain Infrastructure as Code using Terraform.
Manage Kubernetes-based environments and GitOps deployment workflows using Argo CD and
Kustomize.
Lead and support the migration of enterprise applications and infrastructure from on-premises
environments to scalable SaaS and cloud-native architectures.
Establish, maintain, and continuously improve production environments, ensuring high availability,
security, scalability, and operational excellence.
Demonstrate strong production ownership, including incident management, root cause analysis,
capacity planning, and performance optimization.
Collaborate with Engineering, QA, Product, and AI team
Support the deployment, operation, and monitoring of AI and Generative AI services.
Build and maintain monitoring, logging, and alerting systems.
Troubleshoot and resolve infrastructure, deployment, and production issues.

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.

Tech is at the center of everything we do at our company and we're looking for people who are builders at their core. From developers to visionaries and everything in between, we want minds who aren't just interested in putting the pieces together but who can find new ways to innovate. Solid communication, creative problem solving and business understanding are all prerequisites. So, if you're tech savvy, inquisitive, and ready to take the road less traveled, the company Technology team might be right for you.
We're looking for a Senior DevOps Engineer with a strong security orientation to join our company's DevOps team.
our company's platform runs at significant scale, and our DevOps team sits at the core of keeping it fast, reliable, and secure. As we grow, so does the scope of what we own - we need an engineer who can step in as a strong pillar of our company's production ecosystem.
This is a hands-on role for someone who takes security seriously, moves fast, and knows how to get things done in a complex, high-scale environment.
our company's Technology Stack:
AWS, GCP, CLoudFlare ,Kubernetes, Terragrunt, Ansible, Jenkins, ArgoCD, Argo Workflows, Kong & Nginx, HashiCorp Vault, Kafka, RabbitMQ, Mongodb, Aurora Postgresql & Mysql, Prometheus, Grafana, VictoriaMetrics
Programming languages: Python, NodeJS, Go, Kotlin
What am I going to do?
Full Ownership: Drive infrastructure initiatives through their entire lifecycle, taking accountability from initial design to delivery and long-term operations.
Kubernetes Orchestration: Architect, implement, and maintain production-grade Kubernetes clusters, ensuring they remain scalable and resilient under high-scale demand.
Cloud Architecture: Design and manage robust AWS environments, including VPC, IAM, and EKS, to support a highly available platform architecture.
Infrastructure as Code: Utilize Terraform to build and evolve our environment, applying configuration management principles to all IaC workflows.
CI/CD Excellence: Support and improve our deployment pipelines using Jenkins and GitHub Actions to maintain a fast development velocity.
Observability: Implement comprehensive monitoring solutions with Prometheus and Grafana to ensure deep visibility into platform health.
Operational Resilience: Join the DevOps on-call rotation, taking responsibility for mitigating production issues and maintaining site reliability.
Tooling & Innovation: Continuously evaluate and adopt tools - security and otherwise - that raise the bar on engineering efficiency and security posture at our company.

Tech is at the center of everything we do at our company and we're looking for people who are builders at their core. From developers to visionaries and everything in between, we want minds who aren't just interested in putting the pieces together but who can find new ways to innovate. Solid communication, creative problem solving and business understanding are all prerequisites. So, if you're tech savvy, inquisitive, and ready to take the road less traveled, the company Technology team might be right for you.
our company's Engineering team is expanding its DevOps capabilities to manage our rapidly growing cloud infrastructure. We're looking for a mid-level DevOps Engineer to join this high-velocity environment, taking ownership of cloud assets, contributing to production stability, and driving key projects. You'll be instrumental in strengthening our team and supporting our continued innovation.
What am I going to do?
Independently deploy and maintain robust cloud infrastructure across AWS, GCP, and CloudFlare, leveraging Kubernetes, Terragrunt, and Ansible.
Contribute to an on-call rotation, ensuring the stability of critical production services including Kafka, RabbitMQ, and various databases, with a focus on proactive incident resolution.
Lead small to mid-sized projects from conception through completion, utilizing your expertise in CI/CD pipelines (Jenkins, ArgoCD, Argo Workflows) and scripting languages like Python, NodeJS, Go, or Kotlin.
Partner closely with security and development teams to embed security best practices throughout the entire software development lifecycle.
Proactively evaluate and implement new tools and technologies to enhance engineering efficiency, security posture, and operational excellence.
Manage sensitive information securely using tools like HashiCorp Vault and ensure secure configurations for services like Kong & Nginx.

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.

we are seeking a promising and talented Senior DevFinOps Engineer to join our DevOps group. If you thrive in a fast-paced, dynamic environment, can handle multiple requests simultaneously, and enjoy working independently as part of a cutting-edge DevOps team, this is your opportunity to help make the world a safer place!
Key Responsibilities
Act as a DevFinOps Engineer within a highly skilled team, bridging engineering and finance to drive cloud cost efficiency across large-scale operations from development to production.
Design, develop, and maintain Avanan's cloud cost visibility, allocation, and optimization solutions - including tagging strategies, cost dashboards, budgets, and anomaly detection across accounts and services.
Implement tools and procedures for cost monitoring, forecasting, and alerting across our SaaS multi-tenant product family.
Embed FinOps practices into the CI/CD lifecycle - surfacing the cost impact of changes early, and enforcing cost guardrails as part of deployment automation.
build AI-based FinOps agents for cloud services at the infrastructure and application levels
Continuously identify and execute cost-optimization opportunities (right-sizing, reserved capacity/savings plans, spot usage, storage tiering, idle-resource cleanup) without compromising performance, reliability, or security.
Partner with engineering teams to drive cost accountability - providing unit-economics insight (cost per tenant/feature/service) and making cost a first-class engineering metric.
Plan capacity and model the financial impact of scaling decisions, balancing cost efficiency with fault tolerance and growth.
Design and shape our cost reporting, chargeback/showback, and budgeting solutions.
Execute all tasks with cloud infrastructure security and financial governance as guiding principles.

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.

We are looking for a Senior AI Ops Engineer to join our AIOps team and help build the AI-powered platforms, agents, and workflows that enable engineering teams across our company.
This is a hands-on role for someone who can take AI solutions from idea to production, build the infrastructure around them, and create the observability needed to understand and improve how they behave in the real world.
Job responsibilities
Build and operate production-grade AI agents, AI-enabled tools, and workflows that empower developers and operational teams.
Design agentic systems using frameworks such as LangGraph, LangChain, and Supervisor, including RAG, MCP integrations, tool calling, and guardrails.
Build and evolve an AI SDLC harness that helps teams plan, implement, validate, govern, and safely deliver AI-assisted software changes.
Lead AI observability with Langfuse and OpenTelemetry, including tracing, evaluations, quality measurement, and cost analysis.
Build automated evaluation frameworks, including LLM-as-a-judge, to improve the reliability and quality of AI systems.
Design and maintain the infrastructure, CI/CD pipelines, GitOps workflows, and security controls that support AI services.
Develop internal developer tooling and automation that removes friction across the engineering organization.
Partner with engineering and product teams to turn real operational challenges into scalable AI-powered solutions.

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.