QA-Engineer, Quality-Assurance-Engineer, Automation-Testing Jobs

The Role

What You'll Do

We are seeking a detail-oriented QA Engineer who seamlessly bridges manual precision with automated efficiency. As a disciplined, self-starting problem solver, you take full ownership of software quality without needing micromanagement. Beyond core testing, you bring a strong curiosity for modern QA innovations, including AI-driven testing frameworks and LLM-based approaches, and a drive to help shape the future of our quality processes.

Develop and execute manual and automated test plans to ensure SaaS platform quality and reliability

Identify, document, and track software defects alongside development teams for rapid resolution

Create and maintain test cases, scripts, and data for functional and non-functional testing

Partner with Product, Engineering, and Customer Success to align on requirements and expected behaviors

Research and implement AI-driven automation frameworks and LLM-based techniques to optimize testing

Conduct regression and performance testing to ensure system scalability

Integrate automated test suites directly into CI/CD pipelines to streamline deployments

Deliver clear, structured test reports and status updates to key stakeholders

Drive continuous QA process improvements independently with minimal oversight

Requirements

3+ years in software quality assurance, mastering both manual precision and automated testing
Hands-on experience with frameworks like Cypress, Playwright, or Selenium, plus proficiency in JavaScript, Python, or Java
Proven ability to validate APIs using tools such as Postman, RestAssured, or similar frameworks
Practical understanding of CI/CD pipelines (e.g., Jenkins, GitLab CI/CD) for automated test integration
Active interest in AI/ML-driven testing solutions and eagerness to experiment with LLM-based testing approaches
Strong analytical mindset with a keen eye for detail and complex edge cases
Strong communication skills to partner effectively with Dev, Implementation, and Customer Support teams
Self-starter who prioritizes tasks, solves problems independently, and owns outcomes without micromanagement

Nice to Have

Experience with AI-driven test automation tools or LLM-based QA methodologies
Knowledge of SaaS environments and website-based software deployment
Familiarity with cloud platforms like AWS or GCP

Interviewing with Veeva

We value your time and believe in a transparent hiring process. Here is the process you can expect.

Follow the application process and submit your resume.

Within 3 days, you will receive a link to a personality assessment administered by a third party.

Once you complete the assessment, our team will review your full application package and follow up via email with our decision.

If moving to the interview stage, the process is as follows:

1. A conversation with the hiring manager
2. A practical case exercise
3. A final conversation with our group's Senior Leader.

Once all interviews are complete, the manager will be in touch with a final decision.

Perks & Benefits

Medical, dental, vision, and basic life insurance
Flexible PTO and company paid holidays
Retirement programs
1% charitable giving program

Compensation

Base pay: $70,000 - $120,000
The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.

Originally posted on Himalayas

• Innovation
• Disruption
• Empowerment
• Inspire
• Creativity
• Integrity

• Strong foundation in Quality Assurance and Quality Engineering fundamentals, including end-to-end testing strategy, risk-based testing, and release readiness.
• Proven experience designing and executing tests across web and API layers — including UI validation, regression, integration, and exploratory testing.
• Hands-on proficiency with test automation frameworks such as Playwright, Selenium, or Cypress, with the ability to architect scalable, maintainable test suites.
• Comfortable working with SQL for test data setup, validation, and troubleshooting data integrity issues across environments.
• Solid understanding of CI/CD pipelines and the ability to integrate automated checks into build and deployment workflows.
• Experience working within Agile teams, contributing to sprint planning, test estimation, and release coordination.

• Demonstrated ability to leverage AI-powered tools (e.g., GitHub Copilot, Claude, ChatGPT, Cursor, or similar LLM-based assistants) to accelerate test case generation, script authoring, defect analysis, and documentation.
• Experience with — or strong aptitude for — prompt engineering techniques to extract high-quality, context-aware outputs from AI models for QA workflows.
• Familiarity with AI-assisted test automation approaches such as self-healing locators, visual AI testing (e.g., Applitools), or intelligent test selection/prioritization.
• Ability to evaluate, pilot, and integrate new AI-powered QA tools into existing processes, measuring impact on speed, coverage, and defect detection.
• Understanding of how to use AI for test data generation, synthetic data creation, and edge-case discovery.
• Awareness of the limitations and risks of AI-generated outputs — able to validate, review, and refine AI suggestions rather than accepting them uncritically.

• A track record of mentoring junior QA engineers and elevating team capabilities through knowledge sharing, pairing, and process improvement.
• Ability to champion and evangelize AI-augmented QA practices across the engineering organization.
• Experience identifying quality gaps, recommending tooling, and establishing repeatable best practices that scale.
• Strong communication and documentation skills — able to articulate technical concepts clearly for both engineering and non-technical stakeholders.
• Proactive, self-directed, and dependable, with a history of independently driving initiatives from concept through execution.

• Define and execute AI-augmented test strategies across functional, integration, and automation testing layers.
• Leverage AI tools to accelerate QA workflows — including test case design, automation script generation, defect root-cause analysis, and test documentation.
• Architect and maintain scalable test automation frameworks, integrating AI-assisted capabilities such as intelligent test selection, self-healing tests, and predictive defect analysis.
• Evaluate and pilot emerging AI-powered QA tools, building proof-of-concepts and making recommendations for adoption based on measurable quality and efficiency gains.
• Mentor and coach QA team members on both foundational QE practices and the effective use of AI tools in their daily work.
• Collaborate with engineering and product teams to embed quality earlier in the development lifecycle, advocating for shift-left testing and AI-supported code review.
• Contribute to CI/CD pipeline quality gates, ensuring automated functional checks are reliable, fast, and actionable.
• Establish and share best practices for responsible, effective use of AI in quality engineering across the organization.

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.
• Demonstrated professional experience in software Quality Assurance / Quality Engineering.
• Strong programming skills in one or more languages: Python, JavaScript, TypeScript, C#, or equivalent.
• Proven experience building and maintaining test automation at scale using modern frameworks (Playwright, Selenium, Cypress, or similar).
• Demonstrated, hands-on experience using AI/LLM-powered tools to improve QA efficiency, coverage, or speed.
• Experience with API testing and CI/CD integration.
• Strong analytical and problem-solving skills with excellent attention to detail.
• Excellent written and verbal communication skills.

• Experience with ETL / Data Warehouse testing across tools such as Fivetran, Databricks, Snowflake, or similar.
• Familiarity with data modeling concepts (star schema, fact/dimension tables) and data formats (Parquet, CSV, JSON).
• Experience validating end-to-end data flow from source systems through ETL processes to curated layers and visualization tools (Quicksight, Tableau, Power BI).
• Experience with data reconciliation — row counts, aggregations, and KPI accuracy.
• Familiarity with non-functional testing practices — performance, scalability, failover, reliability, and security.
• Hands-on experience with performance testing tools (JMeter, Locust, k6) or visual AI testing tools (Applitools).
• Experience with backend/API testing using tools such as Postman, REST Assured, or equivalent.
• Experience building custom AI agents, workflows, or integrations using APIs from LLM providers.
• Familiarity with observability and monitoring tools (Datadog, New Relic, Grafana).
• Knowledge of security testing practices and basic OWASP principles.
• Experience with test management tools such as Azure DevOps, Jira, TestRail, or Zephyr.

Originally posted on Himalayas

• Innovation
• Disruption
• Empowerment
• Inspire
• Creativity
• Integrity

• Strong foundation in Quality Assurance and Quality Engineering fundamentals, including end-to-end testing strategy, risk-based testing, and release readiness.
• Proven experience designing and executing tests across web and API layers — including UI validation, regression, integration, and exploratory testing.
• Hands-on proficiency with test automation frameworks such as Playwright, Selenium, or Cypress, with the ability to architect scalable, maintainable test suites.
• Comfortable working with SQL for test data setup, validation, and troubleshooting data integrity issues across environments.
• Solid understanding of CI/CD pipelines and the ability to integrate automated checks into build and deployment workflows.
• Experience working within Agile teams, contributing to sprint planning, test estimation, and release coordination.

• Demonstrated ability to leverage AI-powered tools (e.g., GitHub Copilot, Claude, ChatGPT, Cursor, or similar LLM-based assistants) to accelerate test case generation, script authoring, defect analysis, and documentation.
• Experience with — or strong aptitude for — prompt engineering techniques to extract high-quality, context-aware outputs from AI models for QA workflows.
• Familiarity with AI-assisted test automation approaches such as self-healing locators, visual AI testing (e.g., Applitools), or intelligent test selection/prioritization.
• Ability to evaluate, pilot, and integrate new AI-powered QA tools into existing processes, measuring impact on speed, coverage, and defect detection.
• Understanding of how to use AI for test data generation, synthetic data creation, and edge-case discovery.
• Awareness of the limitations and risks of AI-generated outputs — able to validate, review, and refine AI suggestions rather than accepting them uncritically.

• A track record of mentoring junior QA engineers and elevating team capabilities through knowledge sharing, pairing, and process improvement.
• Ability to champion and evangelize AI-augmented QA practices across the engineering organization.
• Experience identifying quality gaps, recommending tooling, and establishing repeatable best practices that scale.
• Strong communication and documentation skills — able to articulate technical concepts clearly for both engineering and non-technical stakeholders.
• Proactive, self-directed, and dependable, with a history of independently driving initiatives from concept through execution.

• Define and execute AI-augmented test strategies across functional, integration, and automation testing layers.
• Leverage AI tools to accelerate QA workflows — including test case design, automation script generation, defect root-cause analysis, and test documentation.
• Architect and maintain scalable test automation frameworks, integrating AI-assisted capabilities such as intelligent test selection, self-healing tests, and predictive defect analysis.
• Evaluate and pilot emerging AI-powered QA tools, building proof-of-concepts and making recommendations for adoption based on measurable quality and efficiency gains.
• Mentor and coach QA team members on both foundational QE practices and the effective use of AI tools in their daily work.
• Collaborate with engineering and product teams to embed quality earlier in the development lifecycle, advocating for shift-left testing and AI-supported code review.
• Contribute to CI/CD pipeline quality gates, ensuring automated functional checks are reliable, fast, and actionable.
• Establish and share best practices for responsible, effective use of AI in quality engineering across the organization.

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.
• Demonstrated professional experience in software Quality Assurance / Quality Engineering.
• Strong programming skills in one or more languages: Python, JavaScript, TypeScript, C#, or equivalent.
• Proven experience building and maintaining test automation at scale using modern frameworks (Playwright, Selenium, Cypress, or similar).
• Demonstrated, hands-on experience using AI/LLM-powered tools to improve QA efficiency, coverage, or speed.
• Experience with API testing and CI/CD integration.
• Strong analytical and problem-solving skills with excellent attention to detail.
• Excellent written and verbal communication skills.

• Experience with ETL / Data Warehouse testing across tools such as Fivetran, Databricks, Snowflake, or similar.
• Familiarity with data modeling concepts (star schema, fact/dimension tables) and data formats (Parquet, CSV, JSON).
• Experience validating end-to-end data flow from source systems through ETL processes to curated layers and visualization tools (Quicksight, Tableau, Power BI).
• Experience with data reconciliation — row counts, aggregations, and KPI accuracy.
• Familiarity with non-functional testing practices — performance, scalability, failover, reliability, and security.
• Hands-on experience with performance testing tools (JMeter, Locust, k6) or visual AI testing tools (Applitools).
• Experience with backend/API testing using tools such as Postman, REST Assured, or equivalent.
• Experience building custom AI agents, workflows, or integrations using APIs from LLM providers.
• Familiarity with observability and monitoring tools (Datadog, New Relic, Grafana).
• Knowledge of security testing practices and basic OWASP principles.
• Experience with test management tools such as Azure DevOps, Jira, TestRail, or Zephyr.

Originally posted on Himalayas

This is a remote position.

Originally posted on Himalayas

Position Overview: 
We are seeking a Senior QA Engineer with a strong background in test automation to join our growing team. In this role, you will be responsible for designing, developing, and executing automated tests to ensure the functionality, performance, and scalability of our Case Management System. Your focus will be on building and enhancing automated test scripts, integrating them into CI/CD pipelines, and ensuring that our product meets the highest quality standards. 

Key Responsibilities: 

• Design, develop, and maintain automated test scripts using industry-standard testing frameworks and tools. 

• Work closely with product managers, developers, and other stakeholders to understand requirements and design effective test plans. 

• Implement test automation for functional, regression, and integration testing across multiple environments. 

• Collaborate with the development team to integrate automated tests into CI/CD pipelines to ensure faster and more reliable releases. 

• Identify opportunities to improve test coverage and automation efficiency, driving continuous improvements in testing processes. 

• Perform thorough analysis of issues, report bugs, and track them to resolution using tools like Jira. 

• Execute performance and load testing to ensure the system’s stability when under heavy usage. 

• Ensure tests are well-documented, easy to maintain, and scalable. 

• Contribute to the overall improvement of the testing framework and automation best practices. 

Required Qualifications: 

• Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience. 

• 5+ years of experience in Quality Assurance, with a strong focus on automation. 

• Proficiency in automation frameworks and tools (experience with Playwright, is a plus) 

• Strong programming skills in writing and maintaining automated tests. 

• Experience working with API testing tools such as Postman, RestAssured, or similar. 

• Experience in performance testing and tools like JMeter, LoadRunner or similar. 

• Familiarity with database testing (SQL) and data validation. 

• Solid understanding of Agile methodologies and experience working in Agile environments. 

• Hands-on experience with CI/CD tools and version control systems (e.g., Jenkins, Git). 

• Strong attention to detail with a passion for quality and performance testing. 

• Excellent problem-solving, communication, and collaboration skills.  

• Experience with case management systems, or similar enterprise applications, is a plus.

Required Soft Skills: 

• Proactive Communication 

• Excellent analytical skills 

• Self-motivated and results-oriented 

• Meeting and exceeding deadlines. 

• Positive Attitude 

• Works well with other team members. 

• Must have excellent written (grammar and spelling) and verbal communication skills. 
  
  Armedia is an Equal Opportunity Employer dedicated to hiring and retaining a diverse workforce. We will not discriminate against any applicant or employee for employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex/gender identity, sexual orientation, national origin, age, veteran status, disability, or any other protected class. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Originally posted on Himalayas

We are looking for a Senior QA Engineer(Playwright) to join Arion´s remote Tech Tribe team!

We are looking Senior Quality Engineer to contribute to the testing and test automation activities for our products and services. This role, which reports to the Manager of Quality Engineering, will be responsible for ensuring the quality and functionality of products and services through functional testing and validation, and by implementing and maintaining functional test automation.

Primary Responsibilities:

• Serve as the QE representative on a scrum team. In this role - you will ensure that the features and other changes developed by the team are thoroughly tested, and be the voice of quality and of the customer within the team.
• Write, review, and execute test plans and test cases for validating product functionality and new features.
• Contribute and bring a quality mindset to product requirements, design, and implementation discussions.
• Develop and introduce functional test automation to validate the features and functional behavior before releasing new code.
• Conduct manual and automated functional, system, and regression testing.
• Build and maintain efficient, reusable, and reliable automation code.
• Collaborate with the Product, Software Development, Quality Engineering, and SRE/DevOps teams to ensure applications and new features are of high quality.
• Troubleshoot complex issues quickly and effectively.
• Identify and introduce improvements to quality and testing processes.

Job Qualifications and Educational Requirement(s)

• Bachelor's degree in Computer Science or equivalent experience.

• 3-plus years of experience in Quality Assurance/Engineering

• Preferred experience with Playwright and Selenium. Demonstrated technical and coding aptitude in any language/technology required, with the ability to quickly learn new tools.
• Experience with programming and scripting languages such as Java, Ruby, Python, or similar is a plus.
• Experience with Gitlab is highly preferred, as it is the primary tool used in this role.
• Familiarity with build and CI tools is essential, with Gitlab experience being a significant advantage.
• Solid understanding of the development lifecycle and how code flows from development to production.
• Experience with RESTful APIs, SQL, Unix/Linux, and virtualization technologies.
• Solid experience with REST APIs is required.
• Exposure to Linux and SQL is ideal.

Nice to have :

• Familiarity with performance and scalability testing tools and techniques

• Exposure to Monitoring and Observability tools like New Relic, Splunk, Grafana, Kibana, and OpenSearch.

• Experience working with low/no-code automation solutions.

• Familiarity with Docker/Kubernetes.

• Virtualization experience is a nice-to-have.

Originally posted on Himalayas