Senior AI-Powered Quality Assurance Engineer

About the team

SecurITe’s mission is to build an Agentic‑AI driven security platform that protects critical infrastructure from modern cyber threats. Our focus is on delivering highly performant, resilient, and intelligent network security systems that help defenders stay ahead of adversaries.

About the Role

We’re looking for a seasoned Senior Quality Engineer to provide technical leadership and architectural oversight for our next‑generation cybersecurity AI platform. In this high-impact role, you will define the technical strategy for quality assurance, ensuring our agentic AI transforms cyber defense with unparalleled reliability.

You will be responsible for the end-to-end quality lifecycle, from architectural reviews to the deployment of scalable automation frameworks. Beyond technical execution, you will serve as a mentor to junior team members, fostering a culture of technical excellence and driving the strategy that ensures our solutions meet the rigorous demands of critical infrastructure protection.

What You’ll Do

●    Defining and driving comprehensive QA strategies and roadmaps for the cybersecurity platform.

●    Designing, developing, and executing test plans, test cases, and automated scripts to ensure software quality.

●    Performing functional, regression, performance, scalability and security testing to identify bugs or defects.

●    Collaborating with developers, product managers, and other stakeholders to understand product requirements and testing needs.

●    Identifying, documenting, and tracking software defects, ensuring clear communication of issues and their resolutions.

●    Leading deep-dive root-cause analysis for critical system defects and security vulnerabilities.

●    Conducting thorough reviews of product specifications and software design to identify potential areas of concern before testing.

●    Architecting and designing complex, scalable test automation frameworks to optimize CI/CD velocity.

●    Ensuring the software meets customer and business requirements by validating the functionality and performance.

●    Assisting in continuously improving QA processes, tools, and best practices to enhance software testing efficiency and effectiveness.

●    Supporting user acceptance testing (UAT) and assisting clients with product validation.

●    Mentoring junior and mid-level engineers, providing technical guidance and conducting architectural reviews.

Required Experience

●    A Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or a related field.

●    8-10 years of proven experience in quality engineering, specifically within network cybersecurity, Identity Providers, or AI-integrated platforms.

●    Expertise in manual and automated testing.

●    Deep domain expertise in complex system validation and advanced automation practices at scale.

●    Proficiency in programming languages like Python to build and run automated test scripts.

●    "Strong knowledge of software testing methodologies, performance testing tools (e.g., JMeter, k6), and security traffic generation/simulation tools (e.g., Ixia BreakingPoint, Scapy, or Snort/Suricata traffic generators)."

●    Understanding of continuous integration/continuous deployment (CI/CD) pipelines and version control systems like Git.

●    Strong communication skills for documenting test results and interacting with cross-functional teams.

●    Excellent analytical skills, attention to detail, and problem-solving ability.

●    Ability to work independently as well as collaboratively in a team environment.

●    A curious mindset with a willingness to quickly learn new technologies and testing tools.

Required Skills & Qualifications

●    Familiarity with cloud-based testing environments (GCP, AWS, Azure).

●    Experience with cybersecurity products or cloud services or IDP or Web UI

The Mindset

●    Problem Solver: You thrive on complex, ambiguous challenges and engineer elegant solutions.

●    Ownership‑Driven: You take initiative, move fast, and deliver outcomes without hand‑holding.

●    Continuous Learner: You stay ahead of the curve in AI, ML, and emerging technologies.

●    Startup DNA: You excel in fast‑moving environments where priorities evolve and impact is immediate.

• 12 - 16 years of experience in Enterprise Software Product Engineering (Development/Quality) 
• Working experience with Enterprise SaaS product companies 
• 6+ years of experience in leading/managing multi-discipline activities - manual, automation, performance and security testing. 
• Experience with AI powered test automation frameworks like Playwright, TestRigor etc is preferable. 
• Experience with security and performance testing tools like BurpSuite, Locust, K6 etc   
• Strong experience in generating and presenting data/metric driven reports to exec/C-level stakeholders. 
• Self drive to achieve team and organization goals with high ROI 
• Result oriented collaborator and enabler of success. 
• Preferred: 
• Enterprise software experience withing the Life Sciences industry and good understanding of GxP requirements 
• Knowledge of cloud native, distributed architecture 

Responsibilities:

• Lead the overall strategy, execution, reporting of ValGenesis’s platform/integration testing activities 
• Own the strategic vision and establish the Software QA processes, tools, frameworks. Ensure, Monitor and Measure of the same in terms of rollout, adoption, results. 
• Change advocate of lean and efficient working – Processes, Tools, Resources. 
• Work with the engineering and cross-functional leaders along with the developers/testers to achieve continuous and incremental quality improvement across all products. 
• Own and deliver automation, security, performance testing frameworks/tools/strategies.  
• Enable the adoption of such tools/frameworks during development phase. 
• Build tools to monitor and generate metrics of all QA activities - test definition, execution, results, production incidents etc. 
• Build a strategy and deliver capabilities to fully automate computer software validation for all product releases. 
• Build and sustain high performance teams – Hiring, Performance and Talent Management 

Job Role: Senior QA Engineer

Company: Appmaker by StarApps

Location: Kochi, Kerala (On-Site)

Experience: 3–5 Years

Employment Type: Full-time

About Appmaker by StarApps

At StarApps, we build tools like Appmaker that help thousands of global e-commerce merchants turn their web stores into native mobile apps.

About the Role

We're looking for an experienced QA Engineer to take overall ownership of our QA cycle. You'll do hands-on testing, build strong quality control so fewer issues reach QA in the first place, and

guide our current QA team. Your goal: catch issues early, reduce the number of QA cycles per release, and ship high-quality apps faster.

Key Responsibilities

• QA Ownership: Own the end-to-end QA cycle, from requirement review to final releasesign-off.
• Quality Control: Set up quality checks, entry/exit criteria and checklists that stop issues early and reduce repeat QA cycles.
• Team Guidance: Mentor and guide the current QA team, review their test cases and bug reports, and raise the team's testing standards.
• Test Planning: Create test plans and test cases from the requirements and designs shared, covering functional, regression and edge cases.
• Device & Design Parity Testing: Test on real Android and iOS devices, and run design parity checks against approved designs.
• Bug Management: Report, prioritise and track bugs, document regressed bugs, and verify fixes with the dev team.
• Process Improvement: Find the root causes of recurring bugs and improve QA processes, tools and documentation.
• Communication: Keep management updated on release quality, risks and issues found.
• AI-Assisted Testing: Use AI tools to generate test cases and speed up testing, while reviewing the output carefully.

What We're Looking For

• Experience: 3–5 years in software QA, with strong experience testing mobile apps.
• Ownership: Proven experience owning QA for releases and reducing QA cycles or bug
• leakage.
• Leadership: Experience guiding or mentoring junior QA engineers.
• Testing Expertise: Strong knowledge of test planning, functional, regression,
• smoke/sanity testing and the bug life cycle.
• QA Tools: Hands-on experience with QA tools like BrowserStack, Appium and bug
• trackers such as Jira, and the judgment to pick the right tool for the job.
• AI Tools: Experience or strong interest in using AI tools for testing.
• Attention to Detail: You notice when a price, image, spacing or button looks off.
• Communication: Clear written and spoken English for reports, updates and working with developers and management.

Bonus Points

• Experience testing Shopify or e-commerce apps.
• Experience with test automation (Appium, Playwright or similar) or API testing (e.g.
• Postman).
• Experience setting up QA processes from scratch in a fast-moving team.

Why Join Us?

• Real Impact: Own the quality of apps used by thousands of global brands and millions of shoppers.
• Leadership: Shape how QA works at Appmaker and grow the QA team.
• Modern QA: Work with AI-driven testing tools and a modern workflow.
• Growth & Culture: High ownership and a supportive team in our Kochi office.

Principal Software Engineer

Location: Bangalore India

Department: AI Engineering / Quality Assurance

Experience Level: Mid to Senior

We are looking for a highly motivated Senior AI Test / Automation Engineer to design and scale automated validation frameworks for AI/ML models, LLM-based applications, and agentic systems. This role is critical to ensure that AI solutions meet enterprise standards for quality, reliability, safety, and compliance before and after production deployment.

Key Responsibilities

• Build and maintain AI test automation frameworks for pre-qualification and continuous validation of models and agent workflows
• Develop comprehensive test suites, including:
• Unit, integration, and end-to-end (E2E)
• Functional, regression, performance, and safety testing
• Validate AI system behavior, including:
• Non-deterministic LLM outputs
• Hallucinations and edge cases
• Multi-step agent decision-making
• Design and manage evaluation systems:
• Golden datasets
• Benchmarking pipelines (accuracy, latency, reliability)
• Automate testing within CI/CD pipelines for model updates, prompt changes, and tool integrations
• Implement observability and telemetry to enable traceability, monitoring, and audit readiness
• Collaborate cross-functionally with ML, MLOps, Product, and Security teams to define quality gates and release criteria
• Track and report quality KPIs, including test coverage, defect leakage, and system reliability
• Drive root-cause analysis and continuous improvement across the AI testing lifecycle

Required Skills

Core Engineering

• Strong programming skills in Python; familiarity with Bash, TypeScript, or Go
• Experience with test automation frameworks such as PyTest, Playwright, Selenium, or Cypress
• Proficiency in CI/CD tools (GitHub Actions, Jenkins, GitLab CI)
• Experience with cloud platforms (AWS, Azure, GCP) and containers (Docker, Kubernetes)

AI / ML & Agentic Systems

• Hands-on experience with LLM ecosystems (OpenAI, Anthropic, Bedrock)
• Familiarity with:
• RAG architectures and vector databases (Pinecone, Weaviate)
• Agent frameworks (LangChain, LlamaIndex, AutoGen)

AI Testing Techniques

• Experience with non-deterministic testing approaches (statistical assertions, tolerance thresholds)
• Knowledge of evaluation methods:
• LLM-as-a-judge
• BLEU, ROUGE, semantic similarity scoring
• Experience with prompt and agent regression testing
• Understanding of AI safety testing, including adversarial testing, bias/fairness validation, and jailbreak detection

Tooling (Preferred)

• AI testing & observability tools: LangSmith, TruLens, Arize, Weights & Biases
• Evaluation tools: DeepEval, Ragas, PromptFoo, Giskard
• Monitoring: Prometheus, Grafana, OpenTelemetry

Soft Skills

• Strong analytical and problem-solving skills
• Excellent communication and cross-functional collaboration
• Data-driven mindset with focus on quality KPIs
• Detail-oriented with a strong bias toward automation and scalability

Experience Requirements

• 7+ years in QA, SDET, or test automation engineering
• Proven experience building and scaling automation frameworks
• Hands-on experience with AI/ML systems or LLM-based applications
• Experience testing RAG pipelines or agentic workflows
• Owned end-to-end AI test strategy and architecture
• Defined quality metrics and release gates
• Delivered scalable validation pipelines for production AI systems
• Supported audit and compliance readiness

Preferred

• Experience in enterprise or regulated environments (SOC2, ISO 27001, etc.)
• Exposure to:
• Shift-left testing practices
• Production observability and monitoring
• Chaos or resilience testing

Senior-Level Differentiators

Education

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field

Nice-to-have:

• ISTQB certification
• Cloud/ML certifications (AWS, Azure, GCP)
• AI testing certifications

What Success Looks Like

• AI systems that are accurate, reliable, and safe
• Fully automated test pipelines integrated into CI/CD
• Measurable improvements in defect leakage and model quality
• Strong observability and auditability across AI systems
• Scalable validation frameworks supporting rapid AI innovation

Job Description

CANDIDATES WITH MINIMUM 7 YEARS OF EXPERIENCE IN QC Automation NEED APPLY.

We are looking for immediate joiners

No work from home option.

Position Title: QC Automation Lead/Manager

Position Type: Full Time, Permanent

Department: Research and Development

Reports to: Manager, Indian Development Centre.

Company Background:

-CGLIA is a software development company building highly available, highly secure, cloud-based enterprise software products that helps speed the research process resulting in new drugs, new devices, and new treatments to improve the health and wellbeing of world population.

- At CGLIA, our work shows our dedication and passion for innovative quality software products that are intuitive and easy to use and exceeds every aspect of customer expectations.

- CGLIA, is the place that develops world-class professionals who would like to be innovative, creative, learn continuously, and build a solid foundation to build products that are special and delight the customer. .

Job Summary:

The QC Manager is a seasoned technologically savvy leader with passion for quality delivery of new products and help us grow. Managing multiple product testing teams and works closely with the Product Management teams, US team, Sales and Marketing and customer support teams in understanding the quality delivery needs.

In this role, you will be hiring the new development staff, mentoring, coaching and building development plans, oversee each aspect of the quality assurance process, and act as a liaison between development team and upper management.

In this role, You will lead and coordinate Test Automation team in all aspects of automation and take ownership of the current automation, recommends new technology, policies or processes to benefit the organization and improve deficiencies.

A demanding job that challenges your intellectual abilities in recommending, defining and implementing the best practices on TDD and BDD in automation testing.

Responsibilities:

· Develop Automation Process, Procedures, Metrics and Analysis.

· Design and maintain Automation frameworks.

· Make sure the rest of the teams have the tools to create automated tests in a structured way.

· Explain and teach basic coding standards for more junior members of the team.

· Perform manual testing to understand features and architecture of our products.

· Review and regulate progress (schedule, cost, quality etc.) and meet performance objectives as per the

project plans.

· Prepare and circulate important test metrics to stakeholders.

· You will also be required to carry out any other duties which may reasonably be required of you.

Qualifications & Skills required:

· Experience of 7-10 years and should be able to define test goals & objectives (Test Strategy & Test Planning)

· Should have good programming skills in Java

· Should have very good knowledge in both Selenium and Java

· Good knowledge in Maven & TestNG

· Good knowledge in TDD, BDD

· Expert in automating tests and building frameworks from the scratch

· Experienced in Manual Testing (Performance, regression, API, database, security and sanity testing.)

· Good OS knowledge (Windows, Linux, OSX)

Senior QA Engineer

Make quality part of the engineering system.

AbleCredit builds software for complex enterprise workflows where AI, APIs, business rules, human decisions, and real-world operations have to work together reliably. We care about building products that work in production - not just in demos. We're looking for a senior quality engineer who can move quality upstream: from release-time testing to better automation, contracts, observability, and engineering practices.

What You'll Own?

• Own quality strategy across web, mobile, backend APIs, integrations, and end-to-end workflows.

• Design and maintain automated regression suites for critical customer journeys.

• Build API, integration, contract, and workflow tests that catch failures before production.

• Partner with engineering and product teams during design - not only after development is complete.

• Define release readiness, risk-based testing, and production validation practices.

• Investigate escaped defects, identify systemic causes, and drive preventive improvements.

• Improve test data, environments, tooling, and CI integration so teams can ship confidently.

What We're Looking For?

• 5+ years in software quality engineering or test automation.

• Strong API and backend testing experience, including asynchronous and integration-heavy systems.

• Experience testing mobile and web applications and understanding client/ server failure modes.

• Ability to write automation in JavaScript/ TypeScript, Python, Java, or a similar language.

• Strong debugging skills across logs, network requests, databases, and distributed services.

• Experience with CI/CD and integrating automated tests into release pipelines.

• A product mindset: prioritize risk and customer impact rather than maximizing test-case counts.

Nice to Have

• Performance, load, security, or reliability testing.

• Experience with Playwright, Cypress, Appium, Postman/ Newman, k6, or similar tooling.

• Experience with event-driven systems, queues, webhooks, and long running workflows.

• Experience testing AI-assisted or non-deterministic product behavior.

How We Think About Quality?

Quality is an engineering responsibility. Automation should create confidence, not dashboards. A production escape should improve the system that allowed it to happen. The goal is simple: ship quickly without making customers our test environment.

Senior Automation Testing Engineer

Location: Bengaluru / Gurugram – Onsite

Experience: 5–11 Years

Employment Type: Full-Time

Key Responsibilities

• Develop and maintain automation test frameworks and scripts.
• Perform both manual and automation testing, including exploratory, functional, regression, and bug verification.
• Develop test cases and contribute to test planning, estimation, and Agile ceremonies.
• Perform non-functional testing for accuracy, reliability, and performance.
• Drive QA process and automation improvements.

Required Skills

• BE/B.Tech/ME/M.Tech in CS/ECE/EE or related field.
• 5–11 years of software testing experience.
• Strong hands-on experience with Python/Java, Selenium, Cucumber, and PyTest.
• Good knowledge of SDLC, testing methodologies, defect lifecycle, and risk assessment.
• Experience with version control and bug-tracking tools.

Good to Have: Linux, Qt/QML, Squish, ISTQB/CSM/PSM, and regulatory/compliance standards.

Required Skills

• Strong programming experience in Java
• Hands-on experience with Selenium WebDriver
• Experience in API Testing using REST Assured
• Good understanding of REST APIs and HTTP methods
• Experience with Cucumber BDD framework
• Strong knowledge of TestNG
• Experience in designing and maintaining automation frameworks
• Familiarity with BDD (Behavior-Driven Development) methodology
• Experience with Maven/Gradle and Git version control
• Knowledge of SQL and database validation
• Exposure to CI/CD tools such as Jenkins is an added advantage

Key Responsibilities

• Design, develop, and maintain robust automation test scripts using Java and Selenium.
• Automate REST API test cases using REST Assured.
• Create and maintain BDD feature files using Cucumber.
• Develop and execute automated regression, smoke, and functional test suites.
• Integrate automated test execution with CI/CD pipelines.
• Analyze test results, identify defects, and work closely with developers for resolution.
• Participate in requirement analysis, sprint planning, and test estimation.
• Maintain automation frameworks and improve test coverage.
• Ensure software quality by following best testing practices and coding standards.

Preferred Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Agile/Scrum project experience is preferred.

Total exp: 5-8 Years

Client: MRI Software

Location: Vadodara

Budget: Look for decent with experience

Mode interview: 1 Virtual

Mode of Work: Hybrid

QA Engineer:

Job Summary/Objective 

Quality Assurance Engineers at MRI collaborate closely with Product Management and Product Development teams to deliver high-quality, high-performance products for our clients. In this role, QA Engineers are responsible for creating and contributing to the documentation of user stories and acceptance criteria, working alongside product owners and development teams. They define manual and automation testing strategies, tools, scenarios, and plans for both web and mobile products, ensuring comprehensive functional and performance testing. 

 QA Engineers will execute static, dynamic, and performance testing while providing detailed reporting and feedback throughout the development lifecycle. They are expected to demonstrate strong technical skills, including expertise in back-end development, database queries, and keen attention to detail. Effective written, verbal, and organizational communication is essential. 

 In addition, QA Engineers will leverage AI to optimize and automate repetitive tasks, thereby enhancing the overall efficiency and effectiveness of QA processes, ensuring a faster, more accurate testing cycle.

Tools and technology:

1.     Tools: Jira, Xray, TFVC, Git

2.     API: REST, SOAP, SoapUI, Postman

3.     Automation: C#, JavaScript, TypeScript, Ruby, Playwright, SpecFlow

4.     Database: SQL

Total exp: 5-8 Years

Client: MRI Software

Location: Vadodara

Budget: Look for decent with experience

Mode interview: 1 Virtual

Mode of Work: Hybrid

QA Engineer:

Job Summary/Objective 

Quality Assurance Engineers at MRI collaborate closely with Product Management and Product Development teams to deliver high-quality, high-performance products for our clients. In this role, QA Engineers are responsible for creating and contributing to the documentation of user stories and acceptance criteria, working alongside product owners and development teams. They define manual and automation testing strategies, tools, scenarios, and plans for both web and mobile products, ensuring comprehensive functional and performance testing. 

 QA Engineers will execute static, dynamic, and performance testing while providing detailed reporting and feedback throughout the development lifecycle. They are expected to demonstrate strong technical skills, including expertise in back-end development, database queries, and keen attention to detail. Effective written, verbal, and organizational communication is essential. 

 In addition, QA Engineers will leverage AI to optimize and automate repetitive tasks, thereby enhancing the overall efficiency and effectiveness of QA processes, ensuring a faster, more accurate testing cycle.

Tools and technology:

1.     Tools: Jira, Xray, TFVC, Git

2.     API: REST, SOAP, SoapUI, Postman

3.     Automation: C#, JavaScript, TypeScript, Ruby, Playwright, SpecFlow

4.     Database: SQL