59 Quality Control jobs in Meerut

About the Role

Looking for a detail-obsessed and driven QA Analyst to help uphold the highest standards of quality and reliability on its flagship mobile franchise, Jackpot Party Casino .

This is a fully Remote position.

This is a demanding role where curiosity, precision, and a strong sense of ownership are essential. You’ll be responsible for developing and executing tests on new features, tools, and game content to ensure they meet exacting standards, especially around high-impact, revenue-sensitive areas.

This position requires the ability to cut through complexity and ambiguity, identify risks quickly, and bring clarity to fast-moving, often chaotic scenarios. Those who succeed in this role are not just testers, they are investigators, problem-solvers, and stewards of product integrity.

Key Responsibilities

• Ensure all software is functioning as intended with an exceptional level of detail and accuracy
• Create, maintain, and execute test plans and test cases across new and existing game content, tools, and platforms
• Document and track issues using bug tracking software (e.g., JIRA) from discovery through resolution
• Collaborate with developers, designers, artists, and product managers to identify potential quality risks early
• Reproduce and isolate complex issues to support engineering resolution efforts
• Generate clear and concise QA documentation, reports, and feedback summaries
• Identify gaps in test coverage and proactively suggest process improvements
• Own the quality of your assigned areas - functionality, usability, and player experience

LiveOps QA Responsibilities:

• Ensure quality and stability of all live operations deliveries across mobile and web platforms.
• Collaborate with Product, Monetization, and Config teams to understand testing requirements and priorities.
• Test configured Live Events (before and after they go live), covering economy setups, asset triggers, segmentation logic, and campaign flows.
• Validate:
• Integrated assets & bundles in Unity across relevant branches.
• Triaged live issues requiring dev fixes.
• Release candidates (server/client/admin code).
• TOMBs and feature branches delivered from slot dev teams.
• Monitor and test live issue resolutions, hotfixes, and deployment-ready changes.
• Perform calendar-based validations, including weekends and holidays, as part of on-call support.

Feature QA Responsibilities:

• Ensure quality delivery of new features, enhancements, and integrations.
• Participate in Feature Sprint Cycles and track progress via test planning and execution:
• Write and maintain Test Plans and Test Cases in Xray.
• Execute tests across environments: Dev, Stage, Prod, Hotfix.
• Validate feature branches and conduct bug research.
• Log and triage bugs, including those from stakeholder feedback.
• Own test cycles for P0/P1/P2 issues, QA sign-offs, and build readiness checks.
• Support automation:
• Build/extend test automation tools and scripts.
• Contribute to admin tool validation & enhancements.
• Optimize regression cycles with automated coverage tracking.

Requirements

Must Have

• 5+ years of professional QA experience in games or software testing.
• Strong understanding of LiveOps processes , config validations, and content testing.
• Proven ability to work independently in night shifts , staying highly responsive and accountable.
• High attention to detail and the ability to spot inconsistencies quickly.
• Hands-on experience with bug tracking (Jira) and test management tools (Xray, TestRail, etc.).
• Strong collaboration skills with cross-functional teams (Dev, Config, Product, Art).
• Experience with mobile or web-based games or apps

Nice to Have

• Experience testing F2P mobile or web-based games .
• Familiarity with slot games or monetization-driven content.
• Experience with Unity-based asset validation and bundle integration checks.
• Exposure to automation tools or scripting for regression optimization.

This Role Is a Strong Fit If You:

• Thrives in a highly challenging environment and flexibility to pivot quickly between tasks.
• Treat QA not just as verification, but as craftsmanship
• Are endlessly curious and willing to dig until you understand how something truly works
• Can spot the needle in the haystack—and know why it matters
• Take full ownership of your work and always seek to improve
• Understand that thinking is the most important part behind executing

Why Join Us?

• Be part of a global LiveOps team delivering content and features to millions of active players.
• Work in close coordination with US counterparts for faster turnaround and high business impact.
• Opportunity to own quality gates for high-priority, revenue-driving content.
• Exposure to both feature and live content testing , enhancing end-to-end QA skillsets.

Shift Details

Education:

• Bachelor’s degree in Computer Science or related field or equivalent relevant experience

Shift:

• Night Shift: 2.30 AM to 11.30 AM IST

Experience:

• 6+ years of professional game software testing experience required.
• Gaming domain experience is a must
• Expected to handle critical validations, live content checks, and stakeholder communication in real time.

If you’re a proactive, detail-obsessed QA professional who thrives in fast-paced LiveOps environments and can own quality with confidence, we want to hear from you.

BrightEdge is a global leader in enterprise SEO and content performance solutions, driving AI-powered digital marketing success for the world’s top brands. Our culture is product-first, innovation-driven, and built for those passionate about building exceptional technology that empowers results at scale.

About the role:

We are seeking a highly skilled QA Lead - an individual who thrives in a fast-paced, product-led environment. You’ll play a key part in developing scalable, performant web applications and infrastructure powering BrightEdge’s next-generation digital products.

Responsibilities:

• Own and define the test strategy for features, releases, and systems across multiple teams.
• Lead manual and automated testing efforts to ensure high product quality.
• Mentor, guide, and grow a team of QA engineers through technical and process coaching.
• Collaborate closely with Product Managers, Engineers, and DevOps to ensure alignment on quality goals.
• Drive release readiness, including regression, performance, and production validation testing.
• Manage the QA effort across weekly/bi-weekly release cadences, ensuring fast feedback loops.
• Identify and cover edge cases (e.g., time zones, Unicode, scaling boundaries) early in the lifecycle.
• Work with automation engineers to improve CI/CD pipeline integration and coverage.
• Proactively identify quality risks and own mitigation planning.
• Lead root cause analyses of production issues and drive systemic improvements.
• Report key quality metrics (e.g., defect leakage, automation coverage, flaky tests) to stakeholders.
• Champion continuous improvement in QA processes, tools, and test architecture.
• Participate in agile ceremonies, sprint planning, and release retrospectives.
• Promote a strong customer-first quality mindset across engineering.
• Encourage self-learning within the QA team and stay current with modern QA tools and methodologies.

Qualifications:

• 8+ years of professional experience with recent 2-3+ years as a Lead.
• Strong experience in web application and API testing.
• Solid automation experience for API and Selenium using Python/Java.
• Experience working in a startup or scale-up environment.
• Proficiency in writing MySQL/SQL queries, logs, and Linux debugging.
• Experience working in agile teams with fast release cycles.
• Excellent communication and stakeholder management skills.
• Comfortable working with distributed teams and across time zones.

What’s in it for you?

• Opportunity to work with cutting-edge technology and help shape the roadmap of a recognized SaaS leader.
• Experience a startup culture backed by global scale, rapid learning, and career progression is the norm.
• Competitive compensation, flexible remote-first work, and a collaborative, high-impact team environment.
• Access to continuous learning and growth opportunities within a world-class engineering team.

Ready to make an impact with BrightEdge? Apply now and accelerate your growth with us.

Job Title: QA Engineer – Generative AI Testing

Location: (Hybrid – Hyderabad/Vishakhapatnam)

Job Type: (Full-time)

Job Summary:

We are seeking a skilled and detail-oriented QA Engineer with expertise in Generative AI Testing to join our team. In this role, you will be responsible for ensuring the accuracy, safety, and performance of AI-driven applications, particularly in the field of Generative AI. You will design and execute test strategies, develop automation frameworks, and validate AI outputs to maintain high-quality user experiences.

Key Responsibilities:

• Design, develop, and execute comprehensive test plans for Generative AI models and applications.
• Validate AI-generated outputs for accuracy, coherence, bias, ethical considerations, and alignment with business requirements.
• Develop and maintain automated testing frameworks for AI-based applications, ensuring scalability and efficiency.
• Perform adversarial testing, edge case analysis, and security testing to assess AI vulnerabilities.
• Collaborate with AI/ML engineers, product managers, and developers to refine model performance and mitigate errors.
• Monitor AI model drift and ensure consistent performance across different inputs and datasets.
• Conduct performance testing to evaluate response times, scalability, and reliability of AI systems.
• Document test cases, test results, and defects while ensuring compliance with AI governance and ethical guidelines.
• Continuously explore new tools and methodologies to improve AI testing processes.

Requirements:

• Bachelors or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in Quality Assurance , with at least 1-2 years in AI/ML testing or Generative AI applications.
• Strong understanding of AI/ML concepts, NLP models, LLMs, and deep learning architectures.
• Experience with AI testing tools such as LangTest, DeepChecks, Trulens, or custom AI evaluation frameworks .
• Proficiency in test automation using Python, Selenium, PyTest, or similar frameworks .
• Familiarity with model evaluation metrics such as BLEU, ROUGE, perplexity, and precision-recall for AI-generated content.
• Knowledge of bias detection, adversarial testing, and ethical AI considerations.
• Experience working with APIs, cloud platforms (AWS, Azure, GCP), and MLOps practices.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and collaboration skills to work in cross-functional teams.

Nice to Have:

• Experience in testing AI chatbots, voice assistants, or image/video-generating AI.
• Knowledge of LLM fine-tuning and reinforcement learning from human feedback (RLHF).
• Exposure to regulatory and compliance frameworks for AI governance.

Why Join Us?

• Opportunity to work on cutting-edge AI products.
• Collaborate with a team of AI and software experts.
• Competitive salary, benefits, and career growth opportunities.

If you’re interested, Please share your resume with

Exp required - 4-6 years

Shift Time - 2pm- 11pm

Remote option available .

Responsibilities

● Maintain and improve automated test coverage in Selenium and Cypress

● Provide guidance to the engineering team for their test automation program

● Work closely with product and engineering teams in specification and test plan

Development

Qualifications

● At least 4 years of QA automation experience, especially SaaS platforms

● Experience with automated test tools (Selenium, Cypress, etc.)

● Extremely detail-oriented with superb troubleshooting skills

● Strong interpersonal skills with ability to work both independently and as part of a team

● Strong knowledge of web technologies - JavaScript, AJAX, HTML 5, CSS

● Experience with bug/defect tracking tools such as Jira, Redmine, Bugzilla, etc.

● Experience with Git or other SCM

● Experience with Linux (bash)

● Bachelor’s degree in software related field a plus

● Knowledge of Ruby and testing RoR applications a plus

● Experience with AI-driven automation a big plus

Job Description: QA Engineer (Paid)

About GoQuant

GoQuant is a financial technology company dedicated to providing high-performance trading solutions for digital assets. We empower professional traders and institutions with a comprehensive suite of tools, including an advanced Order Execution and Management System (OEMS), high-quality Market Data services, and a robust Portfolio and Risk Management System (PMS/RMS). Our focus is on delivering lightning-fast execution, ensuring private and secure trading environments, and offering sensible, fixed-fee structures. By integrating with a wide array of venues including centralized and decentralized exchanges, prime brokers, and market makers, GoQuant enables clients to maximize their trading potential with clean, reliable data and cutting-edge technology.

Role Summary

We are seeking a highly skilled and detail-oriented QA Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the quality, reliability, and performance of our trading platforms and financial applications through comprehensive testing strategies and automation frameworks. You will work closely with development teams, product managers, and other stakeholders to translate complex business requirements into robust testing solutions. Your primary focus will be on maintaining the highest standards of software quality while contributing to the full software development lifecycle from requirements analysis to production deployment.

Key Responsibilities

- Participate in the full software development lifecycle, from requirements analysis to implementation and maintenance.

- Translate complex business requirements into detailed technical specifications and comprehensive test implementation plans.

- Design and develop automated testing frameworks and tools using C++, Python, and JavaScript for critical trading systems.

- Create and maintain comprehensive test suites for critical trading components, ensuring coverage of functional, performance, and edge-case scenarios.

- Develop benchmarking tools for measuring system performance, latency, and throughput in high-frequency trading environments.

- Contribute to architectural discussions and provide direct input in design decisions to ensure testability and quality from the ground up.

- Provide technical support for client implementations and troubleshooting complex production issues.

- Implement and maintain continuous integration/deployment pipelines with integrated testing automation.

- Build monitoring solutions for system performance, reliability, and quality metrics in production environments.

- Write production-quality code for new testing features, tools, and quality improvements.

- Collaborate with development teams to optimize critical execution paths and identify performance bottlenecks.

- Create detailed technical documentation for testing procedures, frameworks, and quality standards for both internal and external use.

- Conduct thorough regression testing and validate system behavior across multiple trading venues and market conditions.

- Establish and promote quality assurance best practices, testing standards, and methodologies across the organization.

Required Skills & Qualifications

- Proven QA engineering experience with a strong background in testing complex, high-performance financial or trading systems.

- Proficiency in multiple programming languages including C++, Python, and JavaScript for developing testing frameworks and automation tools.

- Strong experience with automated testing frameworks and tools (e.g., pytest, Jest, Google Test, or similar).

- Solid understanding of software testing methodologies, including unit testing, integration testing, performance testing, and load testing.

- Experience with continuous integration/continuous deployment (CI/CD) pipelines and tools such as GitHub Actions.

- Knowledge of performance testing and benchmarking tools for low-latency systems.

- Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack).

- Strong understanding of software development lifecycle (SDLC) and agile methodologies.

- Ability to design and implement comprehensive test strategies for complex distributed systems.

- Experience with API testing, database testing, and microservices testing.

- Excellent problem-solving skills and attention to detail in identifying edge cases and potential system failures.

- Strong communication skills to collaborate effectively with cross-functional teams and document technical findings.

- Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.

Preferred Skills & Qualifications

- Experience with testing trading platforms, financial data systems, or high-frequency trading applications.

- Knowledge of financial markets, trading protocols, and exchange connectivity (FIX protocol, WebSocket APIs).

- Experience with containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP).

- Familiarity with message queue systems (Kafka, RabbitMQ) and real-time data processing.

- Experience with security testing and compliance requirements in financial services.

- Knowledge of database systems (PostgreSQL, Redis, InfluxDB) and data validation techniques.

- Experience with chaos engineering and fault injection testing.

- Understanding of network protocols and low-level system optimization.

- Experience with test data management and synthetic data generation.

How to Apply:

If you’re interested in this position, please apply! Candidates who may not meet all the qualification criteria are still encouraged to apply. We are looking for passionate, eager learners who are excited about the project at hand.

You can apply via the platform where you found this job posting (e.g., ).

GoQuant Technologies Incorporated is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Job Title: QA Engineer – Generative AI Testing

Location: (Hybrid – Hyderabad/Vishakhapatnam)

Job Type: (Full-time)

Job Summary:

We are seeking a skilled and detail-oriented QA Engineer with expertise in Generative AI Testing to join our team. In this role, you will be responsible for ensuring the accuracy, safety, and performance of AI-driven applications, particularly in the field of Generative AI. You will design and execute test strategies, develop automation frameworks, and validate AI outputs to maintain high-quality user experiences.

Key Responsibilities:

• Design, develop, and execute comprehensive test plans for Generative AI models and applications.
• Validate AI-generated outputs for accuracy, coherence, bias, ethical considerations, and alignment with business requirements.
• Develop and maintain automated testing frameworks for AI-based applications, ensuring scalability and efficiency.
• Perform adversarial testing, edge case analysis, and security testing to assess AI vulnerabilities.
• Collaborate with AI/ML engineers, product managers, and developers to refine model performance and mitigate errors.
• Monitor AI model drift and ensure consistent performance across different inputs and datasets.
• Conduct performance testing to evaluate response times, scalability, and reliability of AI systems.
• Document test cases, test results, and defects while ensuring compliance with AI governance and ethical guidelines.
• Continuously explore new tools and methodologies to improve AI testing processes.

Requirements:

• Bachelors or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in Quality Assurance , with at least 1-2 years in AI/ML testing or Generative AI applications.
• Strong understanding of AI/ML concepts, NLP models, LLMs, and deep learning architectures.
• Experience with AI testing tools such as LangTest, DeepChecks, Trulens, or custom AI evaluation frameworks .
• Proficiency in test automation using Python, Selenium, PyTest, or similar frameworks .
• Familiarity with model evaluation metrics such as BLEU, ROUGE, perplexity, and precision-recall for AI-generated content.
• Knowledge of bias detection, adversarial testing, and ethical AI considerations.
• Experience working with APIs, cloud platforms (AWS, Azure, GCP), and MLOps practices.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and collaboration skills to work in cross-functional teams.

Nice to Have:

• Experience in testing AI chatbots, voice assistants, or image/video-generating AI.
• Knowledge of LLM fine-tuning and reinforcement learning from human feedback (RLHF).
• Exposure to regulatory and compliance frameworks for AI governance.

Why Join Us?

• Opportunity to work on cutting-edge AI products.
• Collaborate with a team of AI and software experts.
• Competitive salary, benefits, and career growth opportunities.

If you’re interested, Please share your resume with