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.

Were looking for a highly motivated and experienced automation engineer with a strong passion for quality and performance. If youre passionate about quality and efficiency, then join our team. You will play an important part in Harmony SASEs product development process. You will create and implement strategy for quality coordination and automation testing, as well as suggesting solutions to identified quality problems.
You will also be responsible for designing, developing, and executing performance testing strategies for our cybersecurity solutions to ensure optimal performance and scalability. You will collaborate with development teams to identify performance requirements for new features and releases, and work with them to ensure that performance issues are addressed before they impact our customers. The successful candidate will have a strong technical automation background, experience with performance testing tools and methodologies, and a passion for delivering high-quality software. If you're a self-starter who is eager to learn and take on new challenges, we encourage you to apply.
Key Responsibilities
Create and maintain automation frameworks for the R&D products
Design, automate and implement test cases for a variety of products, using the latest technologies on the market
Develop and apply integrated testing processes for new and existing products, using the latest tools and technology
Review requirements, specifications, and technical design documents to provide timely and meaningful feedback
Use different testing techniques and test-driven development strategies
Work hand-in-hand with manual QA to learn about the system and find ways to improve the automation flows
Creating testing tools to improve our QA capabilities
Build load and performance testing frameworks
Identify key KPIs for product quality
Challenge our methodologies and tools and strive to continuously improve
Monitor and analyze performance metrics to proactively identify potential issues
Experience with working and configure monitoring tools such as DataDog Grafana Etc.

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).

Were looking for a skilled and detail-oriented QA Engineer to join our team and help shape the future of cloud data security. In this role, youll be responsible for ensuring the robustness of our companys platform, leading automation efforts, and driving product quality across development phases. Youll collaborate with cross-functional teams, validating specifications, enhancing automation coverage, and ensuring a seamless user experience. Your work will directly contribute to delivering a secure and reliable product that our customers trust.
What Youll Do
Maintain and manage cloud environments across AWS, GCP, and Azure to support testing and quality assurance.
Build, enhance, and maintain test automation frameworks for the platform group, ensuring comprehensive coverage.
Act as a quality champion within the team, fostering a strong automation culture and driving best practices.
Collaborate with product managers and developers to validate specifications, align on quality expectations, and ensure smooth feature releases.
Own product quality throughout the software development lifecycle, from customer feedback and design validation to implementation and deployment.
Serve as the go-to expert on product quality, acting as the key link between customer success, product management, and engineering teams.

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.

Were looking for a skilled and detail-oriented QA Engineer to join our team and help shape the future of cloud data security. In this role, youll be responsible for ensuring the robustness of our companys platform, leading automation efforts, and driving product quality across development phases. Youll collaborate with cross-functional teams, validating specifications, enhancing automation coverage, and ensuring a seamless user experience. Your work will directly contribute to delivering a secure and reliable product that our customers trust.
What Youll Do
Maintain and manage cloud environments across AWS, GCP, and Azure to support testing and quality assurance.
Build, enhance, and maintain test automation frameworks for the platform group, ensuring comprehensive coverage.
Act as a quality champion within the team, fostering a strong automation culture and driving best practices.
Collaborate with product managers and developers to validate specifications, align on quality expectations, and ensure smooth feature releases.
Own product quality throughout the software development lifecycle, from customer feedback and design validation to implementation and deployment.
Serve as the go-to expert on product quality, acting as the key link between customer success, product management, and engineering teams.

we are looking for an experienced QA Engineer (Manual and Automation) to join the CTO department and design and execute manual and automated test plans for web and mobile 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 for web, backend and mobile applications.
Work closely with the development teams and be part of a development cycle.
Design and execute Manual automated end-to-end regression and sanity tests, identifying gaps and deficiencies.
Design and execute automated end-to-end regression and sanity tests, establish automation infrastructure, develop automated test scripts, and take on the challenge of building automation tests from scratch.
Assess delivery readiness and maintain outstanding UX/UI standards through manual testing as needed Review final product functionality before releases.
Handle software updates, patches, and bug fixes.

Were looking for a skilled and detail-oriented QA Engineer to join our team and help shape the future of cloud data security. In this role, youll be responsible for ensuring the robustness of our companys platform, leading automation efforts, and driving product quality across development phases. Youll collaborate with cross-functional teams, validating specifications, enhancing automation coverage, and ensuring a seamless user experience. Your work will directly contribute to delivering a secure and reliable product that our customers trust.
What Youll Do
Maintain and manage cloud environments across AWS, GCP, and Azure to support testing and quality assurance.
Build, enhance, and maintain test automation frameworks for the platform group, ensuring comprehensive coverage.
Act as a quality champion within the team, fostering a strong automation culture and driving best practices.
Collaborate with product managers and developers to validate specifications, align on quality expectations, and ensure smooth feature releases.
Own product quality throughout the software development lifecycle, from customer feedback and design validation to implementation and deployment.
Serve as the go-to expert on product quality, acting as the key link between customer success, product management, and engineering teams.

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.

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.