We are looking for an Automation Infrastructure Engineer to join our Automation Infra team and take a key role in designing, scaling, and maintaining the infrastructure that enables all automated testing across our company R&D.
In this role, you will own significant parts of our CI/CD ecosystem, lab environments (Cloud and On-Prem), and automation tooling. You will architect and implement infrastructure solutions that support complex end-to-end testing of a distributed networking and security platform.
Our test environments span multi-layer networking topologies, cloud deployments, ESX-based virtualization, dynamic traffic flows, and advanced security rule engines.
This position requires strong technical depth, broad domain proficiency, and the ability to work across multiple infrastructure areas simultaneously.
Key Responsibilities
Design and architect automation infrastructure, including CI/CD pipelines, integration layers, execution frameworks, and lab-side services.
Build and maintain scalable, reproducible test environments across AWS, Azure, and ESX, including networking, compute, storage, and automation layers.
Develop advanced tooling (Ansible, Terraform, Python, Java) to automate provisioning, orchestration, and lifecycle management of test environments.
Improve reliability and performance of CI/CD workflows, execution pipelines, and environment creation processes.
Collaborate with automation engineers and developers to define infrastructure requirements and deliver solutions that accelerate product validation.
Troubleshoot complex systemic issues across cloud, networking, virtualization, automation frameworks, CI/CD, and distributed services.
Drive best practices for infrastructure automation, observability, scalability, and operational excellence.

We are looking for an Experienced QA Automation Team Lead with a strong background in designing, developing, and maintaining scalable test automation infrastructures.
Skilled in Python-based test development, modern automation frameworks, API testing, and Playwright for UI automation. Demonstrated ability to lead technical initiatives, guide automation strategy, and integrate innovative testing approaches - including leveraging AI models for intelligent validation, test optimization, and automation tooling. Adept at collaborating across engineering, product, and DevOps teams to improve quality, accelerate releases, and ensure robust system reliability.
Key Responsibilities
Automation Architecture & Infrastructure
Design, develop, and maintain a scalable automation framework using Python, aligned with product architecture and CI/CD pipelines.
Lead the creation of reusable libraries, tools, and test utilities to improve automation efficiency.
Evaluate and integrate new technologies, including AI-assisted test generation, model-based testing, and intelligent failure analysis.
Establish best practices for code structure, version control, and test maintainability.
Test Development & Execution
Build and maintain automated test suites for UI, API, backend, and integration layers.
Implement end-to-end UI automation using Playwright, focusing on reliability and parallel execution.
Develop robust API tests using Python-based tools (e.g., pytest, requests, FastAPI test helpers).
Ensure broad test coverage across functional, regression, performance, and security areas.
Quality Leadership & Strategy
Define the overall automation strategy and ensure its alignment with organizational quality goals.
Lead and mentor QA engineers, providing guidance in Python development, test design, and automation best practices.
Collaborate with product, development, and DevOps teams to refine acceptance criteria and testing standards.
Drive shift-left testing practices and promote automation as a core part of the development lifecycle.
CI/CD & DevOps Collaboration
Integrate automated tests into CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.).
Work closely with DevOps to enable test environments, containerized executions, and scalable cloud-based test farms.
Introduce quality gates and automated blockers to reduce defect leakage and speed up delivery.
AI-enhanced Testing & Innovation
Utilize AI models to enhance test creation, anomaly detection, log analysis, and flakiness reduction.
Develop internal tools using AI for automated test maintenance and failure triage.
Experiment with LLM-driven testing strategies (e.g., agentic testing flows, AI-driven mock generation).

We are looking for a DevOps Engineer to join our dynamic and growing team. This is an opportunity to work alongside top engineers, gain hands-on experience in production environments, and help scale secure, high-performance services used by customers around the globe. You will be part of a fast-paced, startup-like environment, with the backing and stability of a global cybersecurity leader.
Key Responsibilities
Support the deployment and maintenance of scalable, multi-tenant environments across cloud platforms
Assist in automating infrastructure using Infrastructure-as-Code tools and CI/CD pipelines
Monitor and improve the reliability, performance, and security of platform services
Collaborate with development, product, and operations teams to deliver new features and improvements
Troubleshoot infrastructure and application issues in development and production environments
Implement custom user interfaces using the latest programming techniques and technologies
Design, develop, and maintain DevOps-related microservices that support platform automation and reliability
Design and integrate agentic AI capabilities into DevOps workflows to automate decision-making, incident response, and platform operations.

Required DevOps Engineer
About the Job:
As a DevOps / Platform Engineer at EdgeHawk Security, you will be responsible for building and operating the cloud and container platforms that power our security systems. You will work primarily with AWS, Kubernetes, Docker, and GitHub Actions, ensuring our infrastructure can reliably handle high-throughput, security-critical workloads. This role focuses on automation, scalability, and operational excellence in production environments exposed to real-world attack traffic.
What will you do?
Own AWS Infrastructure:
Design, deploy, and operate production infrastructure on AWS, including compute, networking, storage, and IAM, with a strong focus on reliability and security.
Build Kubernetes Platforms:
Operate and scale Kubernetes clusters running containerized backend services, including workload isolation, networking, upgrades, and capacity planning.
Containerize Everything:
Create and maintain Dockerfiles for backend services, focusing on small images, secure build practices, and fast startup times.
Automate CI/CD with GitHub:
Design and maintain GitHub Actions pipelines for build, test, container image creation, and deployment to Kubernetes.
Enable Safe Deployments:
Implement deployment strategies such as rolling updates, blue-green, or canary deployments to minimize risk in production.
Infrastructure as Code:
Define and manage AWS and Kubernetes infrastructure using Infrastructure-as-Code practices (Terraform preferred).
Operate & Debug Production Systems:
Monitor, troubleshoot, and debug live systems running in AWS and Kubernetes, participating in incident response and root-cause analysis.
Observability & Reliability:
Build monitoring and alerting using Prometheus/Grafana and logging pipelines to ensure fast detection and resolution of issues.

Were looking for a visionary Automation Engineer - Networking to join our Automation teams. As a member of this team, you will be responsible for the design, implementation and maintenance of Automated tests using our Java-based framework. Our Automated tests cover various aspects of the product, including complex networking topology, traffic, security rules, and user's authentication scenarios.
Responsibilities:
Define, design, and implement automated regression and sanity tests for our ever-evolving product
Take part in ensuring our product quality and robustness
Identify and design the tools needed for efficient automated testing
Define, set up, and maintain our test automation environments and processes
Develop an Automation infrastructure layer and libraries.

We are looking for a Senior Platform Engineer to join the DevOps team and work across two core domains:

Internal platform and DevOps ownership: Developer experience, CI/CD, observability, reliability, and cost optimization.
Customer cloud integrations: Developing, maintaining, and supporting Infrastructure-as-Code and tooling that customers use to deploy and integrate the product into their own cloud environments.

This role blends hands-on engineering, cloud architecture, and customer-facing technical work, and requires strong Infrastructure-as-Code skills alongside the ability to collaborate with external teams.


Responsibilities:

Internal Platform & DevOps:
Design, develop, and maintain internal platform infrastructure and tooling that improves developer experience, application delivery, and operations.
Build and operate CI/CD pipelines for application and infrastructure deployments (e.g., GitHub Actions, ArgoCD), with a focus on fast, reliable feedback for developers.
Own observability and reliability for internal systems using tools such as Grafana, Datadog, Coralogix, OpenTelemetry, or similar, including metrics, logs, alerting, dashboards, and runbooks.
Lead FinOps and cost optimization initiatives across platform services and observability tooling.

Customer Cloud Integrations:
Develop and maintain Infrastructure-as-Code (Terraform, CloudFormation) that customers use to deploy and integrate the product into their cloud environments.
Design customer-deployable cloud architectures across AWS, Azure, and GCP, including networking (VPC/VNet, routing, NAT, PrivateLink / private endpoints) and security primitives.
Build and maintain deployment tooling (CLI tools, installers, templates, automation) to simplify customer setup and upgrades.
Act as a technical escalation point for customer deployment and integration issues, working closely with Solutions Engineering and Support.
Collaborate with external-facing teams (Customer Success, Solutions Engineering, Sales Engineering) on customer deployments and integrations, including participating in calls or troubleshooting sessions when needed, sometimes during US business hours.
Collaborate with customers on best practices for secure, reliable, and cost-efficient deployments.

We are looking for a Senior DevOps Engineer with strong engineering skills and a product mindset, who is passionate about platform engineering, developer experience (DevEx), and AI-assisted automation.
This role is ideal for someone who enjoys building scalable internal platforms and paved roads that empower R&D teams to independently take services from design to production. You will focus on reducing friction, increasing developer autonomy, and embedding best practices through automation and tooling.
Location: Tel Aviv (Hybrid)
About Us
we are a global leader in cybersecurity, delivering advanced security solutions that protect organizations worldwide.
The Harmony SASE rocket is building a cloud-native, high-scale security platform that enables secure connectivity for the modern, distributed workforce.
Our DevOps Platform team supports Harmony SASE R&D by providing the infrastructure, CI/CD, observability, and tooling that allow teams to move fast while operating safely in production. We are heavily investing in Platform Engineering, DevEx, and AI-assisted operations to scale our engineering velocity and reliability.
Key Responsibilities
Design and build platform capabilities and self-service tooling that enable R&D teams to deploy and operate services independently.
Develop and maintain Infrastructure as Code and deployment patterns for large-scale cloud environments.
Build and evolve CI/CD pipelines and automation using GitHub Actions and cloud-native services.
Improve developer experience, observability, and operational readiness across production systems.
Explore and integrate AI-driven automation and intelligent tooling into DevOps and platform workflows.
Collaborate with R&D and architecture teams to support new services from design to production.

We are looking for a Senior DevOps Engineer with strong engineering skills and a product mindset, who is passionate about platform engineering, developer experience (DevEx), and AI-assisted automation.
This role is ideal for someone who enjoys building scalable internal platforms and paved roads that empower R&D teams to independently take services from design to production. You will focus on reducing friction, increasing developer autonomy, and embedding best practices through automation and tooling.
Location: Tel Aviv (Hybrid)
About Us
we are a global leader in cybersecurity, delivering advanced security solutions that protect organizations worldwide.
The Harmony SASE rocket is building a cloud-native, high-scale security platform that enables secure connectivity for the modern, distributed workforce.
Our DevOps Platform team supports Harmony SASE R&D by providing the infrastructure, CI/CD, observability, and tooling that allow teams to move fast while operating safely in production. We are heavily investing in Platform Engineering, DevEx, and AI-assisted operations to scale our engineering velocity and reliability.
Key Responsibilities
Design and build platform capabilities and self-service tooling that enable R&D teams to deploy and operate services independently.
Develop and maintain Infrastructure as Code and deployment patterns for large-scale cloud environments.
Build and evolve CI/CD pipelines and automation using GitHub Actions and cloud-native services.
Improve developer experience, observability, and operational readiness across production systems.
Explore and integrate AI-driven automation and intelligent tooling into DevOps and platform workflows.
Collaborate with R&D and architecture teams to support new services from design to production.

we are a global leader in cybersecurity, committed to safeguarding organizations against evolving cyber threats. Our Cloud Network Security group is driving innovation in cloud solutions, and we are seeking a DevOps Engineer with strong development skills to join our team.
As a Senior DevOps Engineer, you will design and optimize CI/CD pipelines, manage multi-cloud environments, and collaborate with cross-functional teams to ensure secure, scalable, and reliable cloud services. You will also participate in automation development for cloud security. This role requires a solid software development foundation, cloud governance expertise, and a forward-thinking approach to AI adoption and FinOps practices.
About the Team
You will be part of the Cloud Security DevOps & Automation team, a key unit under the CloudGuard Network Products group, responsible for building automation frameworks, enforcing security policies, and driving innovation in multi-cloud environments. Our team focuses on delivering secure, scalable, and automated solutions while providing robust DevOps and automation support to internal development teams, enabling them to build and deploy cloud security products efficiently.
Key Responsibilities
CI/CD Automation: Design, implement, and maintain CI/CD pipelines for SaaS deployments using tools like GitLab CI, Zuul and Github Workflows.
Cloud Security Automation: Develop automation solutions to enforce security policies and compliance across multi-cloud and private cloud environments.
Automation Infrastructure: Build and maintain automation frameworks and tools to streamline infrastructure provisioning, deployment, and operational tasks.
Cloud Governance: Manage and enforce governance across multi-cloud accounts (like AWS, Azure, GCP).
Performance & Reliability: Monitor system performance, troubleshoot issues, and optimize for scalability, security, and cost efficiency (FinOps orientation).
Containerization: Deploy and manage containerized applications using Docker and Kubernetes.
AI Integration: Explore and implement AI-driven solutions to enhance DevOps workflows.

we are looking for an experienced DevOps Engineer to join our high-performance team. Youll work closely with development teams to design and implement smarter processes and tools, while embracing a GenAI-driven mindset. In this role, you will help build and scale infrastructure that not only keeps our company running smoothly, but also powers next-generation AI-driven applications with speed, resilience, and efficiency.
our companys Technology Stack sample:
AWS, Kubernetes, Terragrunt, Ansible, Jenkins, ArgoCD, Argo-Workflows, Service Mesh, Nginx, CloudFlare, Hashicorp Vault/Consul, Kafka, RabbitMQ, Prometheus, Grafana, VictoriaMetrics, CircleCI
Programming languages: Python, NodeJS, Go, Kotlin
What am I going to do?
Maintain and build a large-scale, highly available cloud infrastructure focusing on K8S.
Improve resiliency and cost efficiency of our cloud infrastructure.
Use GenAI tools to automate troubleshooting, speed up incident resolution, and improve production reliability.
Develop AI-driven self-service solutions to accelerate developer issue resolution and resource provisioning.
Develop and adopt new tools to make Development and Operations processes at our company more efficient.
Collaborate with developers to optimize system performance, reliability, and scale.
Evolve and maintain our companys AWS infrastructure by improving and adopting new services.
Support AI/ML/GenAI services with scalable infrastructure and monitoring.
Maintain our company availability by participating in DevOps on-call shifts.
Mentor DevOps engineers.