Required QA Automation Engineer
The QA Automation Engineer will help to continuously improve the quality, reliability and end-user experience of various solutions delivered by our development team. Also, you will help efficiently deliver high-quality solutions to end users through the use of modern quality methodologies and test automation technologies combined with a streamlined release process. The individual must be forward-thinking and share in a common vision of quality, integrity and efficiency.
Responsibilities;
Define, write, maintain & perform manual & automated tests of multiple APIs, UIs & Web services for functionality, correctness and reliability
Maintain, expand and create automation solutions
Create, maintain and execute test, bug, story & other sprint board items in Azure DevOps
Analyze and understand functional and technical requirements to devise Test cases/Test scenarios that fully meets the testing scope to satisfy business/user/system requirements
Ensure prerequisites for testing are fully prepared, test data and test environment setup/configurations
Identify and log bugs during the Software Development life cycle till release to Production
Perform root cause analysis of the bugs and collaborate with the development team to resolve and test them
Work closely with the Support team to investigate and test customer and/or production issues.
Work with your lead on improving QA processes and practices and adhering to them to ensure that quality assurance standards are met.

we are seeking a skilled and enthusiastic QA Manual Engineer to join our team. As a QA Engineer, you will play a crucial role in ensuring the quality and reliability of our products. The ideal candidate is self-motivated, detail-oriented, and possesses excellent organizational skills, as well as a strong willingness to learn and adapt to new technologies.

In this role, you will work with many different teams across the company. You will work closely with our product managers and developers, validating that our products meet the highest quality standards and effectively solve customer problems. You will also work closely with product designers, the support team, and more.

What You'll Do:

Perform comprehensive testing of new features to verify the requirements are met and long-term quality is upheld.
Develop and execute test plans, test cases, and test scripts to ensure the software meets quality standards.
Define core business flows that will serve as the backbone of the automated tests written by our automation developers.
Collaborate with the Product and R&D teams to investigate and troubleshoot issues, and provide usability feedback based on customer interactions.
Work closely with the support team to understand customer pain points, which will help inform your testing strategies.
Continuously stay up-to-date with the latest product features and improvements, ensuring that our QA processes are aligned with current developments.

We are looking for a QA Automation Engineer to join our engineering team and take ownership of backend and data-focused test automation.
This role is centered on validating complex backend services, data flows, and cloud-based systems, with understanding of full end-to-end flow (including frontend).
You will design and maintain scalable automated test suites that ensure backend functionality, data accuracy, system reliability, and high-quality releases in a distributed, cloud-native environment. The role requires strong technical skills, independence, and close collaboration with backend developers, data engineers, and product managers.
Your ownership will include:
Take an active part in the entire software development lifecycle, with a strong focus on backend and data-related components.
Design, develop, and maintain automated tests for backend services, APIs, and data pipelines.
Validate data integrity and business logic across multiple data sources and environments.
Build and maintain test plans, test scripts, and test data to support reliable, production-ready releases.
Continuously improve automation infrastructure and CI/CD pipelines.
Ensure strong automated test coverage for backend and data features.
Perform root cause analysis of issues found in automation and communicate findings clearly.
Work closely with Backend, Data Engineering, and Product teams to review requirements and define effective automation strategies.
Troubleshoot technical challenges independently and propose practical, scalable solutions.
Stay up to date with backend and data automation best practices, tools, and industry trends.

We are looking for a QA Data Automation Engineer to join our Data Team in a dynamic and challenging role, providing critical test coverage for Orcas data pipelines, reporting layers, and analytics solutions.

In this role, you will be responsible for validating data integrity end-to-end - from raw ingestion and transformation layers to dashboards and downstream consumers. You will design and maintain automated tests to ensure accurate, reliable, and scalable data systems.

Key Responsibilities

Develop and maintain automated QA tests for data pipelines, transformations, and data products.
Perform and execute manual QA testing such as functional, regression, and sanity testing of applications, dashboards, and backend systems.
Validate data flow across the system, including: ingestion, transformations, reports/dashboards.
Perform data quality testing (completeness, consistency, accuracy, timeliness, schema validation).
Write and execute SQL-based tests to validate logic, joins, aggregations, metrics, and anomalies.
Build automation frameworks and validation scripts using Python.
Work closely with Data Engineers and Analytics/BI stakeholders to define test coverage and acceptance criteria.
Investigate failures and data issues, providing clear RCA and actionable bug reports.
Document test plans, test scenarios, expected results, and automation coverage.
Track issues in Jira, including reproducible steps and supporting evidence.
Continuously improve QA processes for better monitoring, reliability, and faster releases.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
our companys data centers are the most advanced in the world. Developing and deploying comprehensive manufacturing test and data analytics solutions for volume manufacturing at wafer fabs and OSATs. In this role, you will help to manufacture the SoCs that power these data centers. You will create silicon in the most advanced technologies and follow it into the field to close the loop back to design and test for the next generation of chips. To assure performance and screen devices, you will help to integrate SoC technologies into devices and drive manufacturing test flows. You will drive yield improvement, cost optimization and work closely with cross functional teams to ensure the optimal test coverage in production to ensure SoCs. An understanding of IC flows, wafer processing, testing, qualification, diagnostics, and failure analysis is expected. You will work with various groups to deploy screening methodologies and flows for data processing, analytics and diagnostics, you will drive the release of cost effective production test solutions into mass production to hit yield and quality goals.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Collaborate with Architecture, Design, and Verification teams to develop new product bring-up, validation, characterization, and qualification strategies, as well as manufacturing test solutions for new High Performance Computing (HPC) products in advanced process technologies.
Verify test solutions on pre-silicon models (simulation or emulation) and develop ATE test modules, DC tests, binning, production, and characterization flows.
Develop and validate test programs on Automated Test Equipment (ATE) platforms for new product integration (NPI) in preparation for high-volume manufacturing (HVM), working with ATE vendors and internal cross-functional teams.
Develop tools, flows, and methodologies to continuously improve and automate the testing life cycle.

We are looking for a Quality CI Enigneer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
Key Responsibilities
Daily Analysis of automation CI results, Develop, refactor and design automation tests and pipelines integrating with SW tools from the ground up, interfacing to various systems and tests (Python-based).
Work closely with developers to create and maintain a state of the art system tests.
Define, develop and execute automated testing plans with deep system knowledge and understanding.

Required Senior Hardware Test Engineer
Description
The Senior Hardware Test Engineer is responsible for developing, implementing, and sustaining test processes and equipment used in the manufacturing of hardware products. This role ensures that products meet quality, reliability, and performance standards through robust test strategies, automation, and continuous improvement. The engineer acts as a bridge between design engineering, manufacturing operations, and quality assurance, supporting new product introductions (NPI) through to mass production and sustaining phases.
This is a great opportunity to be part of one of the fastest-growing AI infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
Role and Responsibilities:
Test Development & Validation:
Design, develop, and implement test plans, test fixtures and infrastructure.
Collaborate with R&D to define test requirements early in the product lifecycle.
Develop test scripts and automation software (Python, LabVIEW, C#, etc.) to improve coverage and efficiency.
Validate test coverage, yield, and reliability through statistical analysis (GR&R, Cpk, SPC).
New Product Introduction (NPI):
Support EVT, DVT, and PVT phases with test readiness and execution.
Lead test process transfer to contract manufacturers (CMs) or ODM partners.
Train CM engineers/technicians on test systems and procedures.
Ensure compliance with safety, regulatory, and customer requirements.
Manufacturing Support & Continuous Improvement:
Monitor production test yields, debug failures, and drive root cause analysis (RCA).
Implement corrective actions and continuous improvements to reduce test time, cost, and false failures.
Maintain and calibrate test equipment and fixtures.
Support ECO (Engineering Change Orders) by updating test plans and equipment accordingly.
Cross-Functional Collaboration:
Work closely with hardware, firmware, and reliability engineers to improve product testability and robustness.
Partner with Quality and Operations to ensure smooth scaling into mass production.
Engage with suppliers and CM partners on test strategy alignment.

we are looking for an Experienced QA Engineer to write test scenarios, automating test flows and execute manual test plans for web applications! We are looking for people who look at the world differently, people who are passionate about making sense out of huge amounts of data, who explore, analyze and lead the solutions they envision. If you are an engineer that is passionate about being part of an innovative product, making an impact, and striving to work with the industrys best talent as part of one of the fastest growing and successful startups around - where you want to be!
So what will you actually be doing?
Design, plan, analyze QA tests/test-plans for web applications.
Work closely with the development teams and be part of a development cycle.
Design and execute automated end-to-end regression and sanity tests, identifying gaps and deficiencies.
Assess delivery readiness and maintain outstanding UX/UI standards through manual testing as needed.
Investigate product quality issues to uphold high-quality standards.
Collaborate with Product and other teams to manage documentation and ensure timely releases.
Review final product functionality before releases.
Assist and guide developers in creating test plans for their new features

. We are pushing the boundaries by offering a secure software development lifecycle that includes Artifactory, security, distribution and MLOps, shifting left and bringing new and exciting features to both developers and DevOps. We are seeking a highly-motivated and experienced Senior QA Engineer to take our quality to the next level. In this role, you will lead and design our main quality initiatives across the entire organization, provide quality-focused technical leadership to developer teams, and improve our products.
As a Senior QA Engineer you will...
Work closely with hundreds of developers and Quality Engineers from different organizations in the company to better understand the main issues and bottlenecks across multiple platforms and cloud providers, including on-prem installations
Research the effect of every change on the system and its behavior, from the development stage to release and production
Perform hands-on work on new, complex cross-interacting features in the platform and modifications to existing ones, including research, test plan development, reviews, and approvals
Serve as the focal point for quality for cross-developed products
Closely interact with developers, automation, and support engineers about customer production issues

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.