דרושים » תוכנה » Automation Infrastructure Engineer

As a Senior Automation Architect , you will design, build, and maintain our test automation infrastructure, ensuring it meets the highest standards of availability, reliability, and quality. Youll own the testing lifecycle end-to-end, collaborate closely with cross-functional teams, and play a key role in strengthening both product quality and the automation ecosystem.

Responsibilities
Design and architect scalable, maintainable, and modular automation frameworks for backend and frontend domains.
Define best practices, patterns, and standards for test automation architecture, ensuring long-term maintainability and reuse.
Build automation infrastructure that scales with growth integrating seamlessly into CI/CD pipelines and cloud environments.
Collaborate with DevOps and engineering teams to ensure automation systems are resilient, distributed, and optimized for speed and scalability.
Evaluate, integrate, and maintain advanced frameworks, tools, and technologies (Playwright, TypeScript, Python, Java, etc.) across multiple projects.
Drive GenAI and AI-assisted automation innovation, implementing smart agents, self-healing tests, or AI-based analysis tools.
Define and implement non-functional testing (NFT) capabilities performance, load, and reliability testing as part of the automation strategy.
Partner with developers, DevOps, and observability teams to correlate test data with production metrics and system health indicators.
Design solutions for distributed and parallel test execution, ensuring optimal performance in large-scale environments.
Conduct code and architecture reviews for automation projects to maintain technical excellence and consistency.
Mentor engineers and serve as the go-to expert for automation frameworks, scalability, and test strategy design.

We are looking for a talented and motivated DevOps Engineer to join our Cloud Engineering team. Youll play a key role in developing, maintaining, and scaling our SaaS product across AWS, Azure, and GCP. This includes managing our deployment packages (Terraform, CloudFormation, Azure Bicep), ensuring seamless integrations with customer environments, and enabling secure, reliable data scanning at scale.

As part of our DevOps team, youll not only drive automation and infrastructure management, but also participate in customer-facing installation meetings, helping customers deploy and configure our platform successfully.

Responsibilities:
Design, develop, and maintain cloud infrastructure on AWS, Azure, and GCP.
Manage Infrastructure as Code using Terraform, CloudFormation, and Azure Bicep.
Build, scale, and maintain Kubernetes clusters and containerized applications.
Implement automation for deployment, monitoring, and incident response.
Write and maintain Python and Bash scripts for automation, integrations, and tooling.
Troubleshoot networking, connectivity, and security issues (TCP/IP, UDP, VPNs).
Collaborate with engineering and product teams to optimize deployments.
Support customer onboarding by assisting with setup and deployment meetings.
Continuously improve CI/CD pipelines and operational processes.

Youll drive the automation strategy, lead our automation engineers team, and guide the integration of AI-based solutions into our test development processes ensuring efficiency, reliability, and innovation across our testing lifecycle.

Responsibilities
Lead, mentor, and guide a team of automation engineers, fostering technical excellence and collaboration
Design, develop, and maintain automated tests across backend and frontend systems
Define and implement the overall automation strategy, frameworks, and tools
Write and review test plans based on product requirements and system architecture.
Drive the integration of AI tools (e.g., ChatGPT-based agents) into the automation process for intelligent test generation and optimization
Perform and oversee manual testing where automation is not yet in place
Own the full testing lifecycle from design, implementation, and execution to reporting and analysis
Develop and maintain dashboards and KPIs to monitor testing coverage, quality, and progress
Integrate automated tests into CI/CD pipelines, ensuring stability and reliability of releases
Collaborate closely with developers, DevOps, and product teams to align testing strategies with release goals
Participate in security, performance, and regression testing as needed
Drive continuous improvement initiatives for testing practices, tooling, and infrastructure

We are looking for a hands-on technical leader to drive the design, implementation, and evolution of our cloud infrastructure. Youll take ownership of building scalable, reliable, and secure systems that empower engineering teams to deliver with speed and confidence. Youll operate in a fast-paced environment, balancing innovation and pragmatism, and fostering a culture of continuous improvement and operational excellence.



Responsibilities:

Lead end-to-end technical initiatives to design and manage cloud infrastructure across AWS and other multi-cloud environments.
Build and evolve automation frameworks and internal tools using Python, Bash, and modern infrastructure-as-code technologies (Terraform or equivalents).
Architect, implement, and maintain CI/CD pipelines that streamline delivery and improve developer productivity.
Champion observability, reliability, and performance establishing best practices around monitoring, alerting, and system health visibility.
Collaborate closely with cross-functional engineering teams to enable scalable deployments, efficient development workflows, and resilient production systems.
Drive technical tradeoff decisions that balance speed, cost, and reliability in a dynamic, growth-oriented environment.
Act as a mentor and advocate for DevOps culture, enabling teams to take ownership of infrastructure and operations.

We are looking for a talented and motivated Software Engineer to join our newly formed team developing orchestration tools and platforms for AI datacenters.
The main goal of this team is to create customer-focused orchestration solutions that simplify the deployment, management, and optimization of large-scale AI workloads across a full datacenter stack - including switches, hosts, smart NICs, GPUs, ROCm, and RCCL.
You will work on the design and development of orchestration systems that bridge compute, networking, and AI acceleration domains, primarily using Python and modern full-stack technologies.
Key Responsibilities
* Design and develop software components for orchestration platforms managing AI datacenter infrastructure.
* Implement control and coordination mechanisms for compute, network, and AI acceleration resources.
* Develop backend services, APIs, and UI components using Python and modern full-stack frameworks.
* Collaborate with cross-functional teams - including networking, GPU, and system software - to integrate orchestration capabilities across multiple layers.
* Participate in architecture discussions, code reviews, and continuous integration processes.
* Contribute to testing, validation, and performance improvements of orchestration systems.
* Engage with product and customer teams to translate operational needs into effective software solutions.
Preferred Qualifications
* Exposure to **AI workloads** and GPU ecosystems (ROCm, RCCL, PyTorch, TensorFlow).
* Experience with **distributed systems, control-plane software, or cluster management frameworks**.
* Familiarity with **REST/gRPC APIs**, **microservices**, and **cloud-native architectures**.
* Background in **monitoring, telemetry, or resource scheduling systems**.
* Practical experience in **full-stack development** (React, Angular, Node.js, or equivalent).
* Experience with **test automation frameworks** (pytest, Robot Framework, etc.).

We are looking for a highly skilled Automation Infrastructure Developer with strong networking orientation to join our QA & Automation group.
In this role, you will design and build automation frameworks, testing tools, and scalable infrastructures that validate agent, cloud services, and end-to-end networking flows across millions of devices worldwide.
Responsibilities:
Design, develop, and maintain automation infrastructures and frameworks for large-scale system testing.
Build tools and services that support automated validation of agent flows, cloud microservices, APIs, and networking behavior.
Create scalable solutions for device simulation, traffic generation, and real-world network scenarios.
Collaborate with DevOps, Backend, Embedded, and Product teams to ensure full automation coverage across components.
Implement CI/CD integrations to improve automation efficiency and system reliability.
Investigate automation failures, debug complex issues, and drive improvements in testability and system robustness.
Continuously enhance performance, stability, and scalability of automation environments.

We are looking for a motivated and talented Junior Automation Reliability Engineer to join our growing R&D organization. In this role, you will play a key part in ensuring feature coverage, infrastructure robustness, and the overall reliability of our multi-platform products. You will be responsible for implementing and maintaining automated tests and contributing to our CI ecosystem. You will collaborate closely with senior engineers and cross-functional teams, gaining hands-on experience with automation frameworks, backend and frontend components, and system-level functionality across diverse environments. This role involves developing and maintaining automated testing solutions using both Java and TypeScript, while also coaching engineers across the organization to effectively use and contribute to our CI and automation infrastructure.
Responsibilities
Design, implement, and maintain automated tests for backend, frontend, and system-level
components.
Contribute to the development and enhancement of internal automation tools, frameworks, and CI infrastructure.
Support, maintain, and optimize test environments to ensure consistent and reliable test execution.
Collaborate with R&D, Automation, DevOps, and Product teams to deliver high-quality features with comprehensive test coverage.
Troubleshoot automation failures, analyze logs, and drive root-cause investigations.
Participate in POCs, explore new technologies, and help improve the performance, scalability, and reliability of automation systems.
Develop and maintain regression, sanity, and end-to-end automated test suites.
Mentor and onboard engineers from various product groups, enabling effective use and contribution to the CI and automation ecosystem.
Assist in maintaining CI pipelines, test execution flows, and automation-focused DevOps tasks. Requirements .

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 hands-on Senior DevOps Engineer with a strong cloud-native mindset to build, maintain, and evolve our highly scalable, highly-available cloud infrastructure. This role is pivotal in driving operational excellence, security, and automation across our entire engineering organization. You will promote communication, integration, and collaboration to significantly enhance our software development productivity and reliability. You'll work closely with engineering and product teams to streamline delivery, enforce platform standards, and enable a high-velocity development environment-all while keeping reliability and security top of mind.
Responsibilities
Design, Automate, and Manage complex cloud infrastructure on AWS using best-in-class Infrastructure as Code (IaC) practices.
Lead the operation and enhancement of our production Kubernetes environments (EKS), focusing on automation, security, observability, and seamless CI/CD integration.
Drive continuous improvement across platform tooling, developer experience, and operational processes to meet our ambitious performance and uptime goals.
Implement and enforce security-first infrastructure patterns, including strong IAM, network segmentation, and secure secrets management.
Actively contribute to high-level technical design discussions and cross-functional architectural decision-making, ensuring solutions align with long-term platform strategy.

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).