Senior Quality Assurance (QA Engineer)

Strong Senior QA/SDET Profile with hands-on automation building and QA-function ownership

2

Mandatory (Experience 1): Must have 6+ years in QA/test automation/SDET roles with clear progression in scope (Engineer to Senior to Lead)in a B2B SaaS product company

3

Mandatory (Experience 2): Must have direct experience scaling a QA function at a SaaS company and building automation frameworks or QA processes from scratch

4

Mandatory (Tech skill 1): Must have hands-on UI automation experience with Selenium (Java + TestNG) or Playwright / Cypress (JavaScript / TypeScript) using maintainable design patterns like Page Object Model

5

Mandatory (Tech skill 2): Must have API testing & automation experience with Postman and RestAssured (or equivalent) for functional, integration, and contract testing

6

Mandatory (Tech skill 3): Must have experience with CI/CD integration (Jenkins or GitHub Actions) and Git for version control

7

Mandatory (Skill 1): Must have a strong grasp of Agile / Scrum delivery and JIRA for defect and test management

8

Mandatory (Skill 2): Must have experience leading or mentoring QA engineers and collaborating cross-functionally with developers and product teams

9

Mandatory (Skill 3): Must have solid experience using AI in test automation and manual testing exposure

10

Mandatory (Communication): Must have strong communication skills for cross-functional collaboration

11

Mandatory (Company): Must come from a B2B SaaS

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.

Role Summary

The QA Engineer (Automation + Manual) is responsible for ensuring the quality, reliability, and compliance

readiness of the ERP platform. This role involves end-to-end testing of complex workflows, including compliance

processes, legal case management, and multi-entity operations. The QA will play a critical role in preventing

defects in high-risk areas such as accounting, regulatory filings, and audit trails, while also building automation

frameworks to improve testing efficiency and release confidence.

Job Responsibilities

• Understand business requirements, technical architecture, and ERP workflows.

• Create test strategies and test plans covering functional, integration, and regression testing.

• Identify high-risk areas such as compliance deadlines, approvals, and workflow dependencies.

• Perform functional testing of ERP modules and end-to-end workflow testing.

• Validate complex business scenarios and multi-role workflows such as admin, compliance officer, and accountant.

• Conduct exploratory testing for edge cases.

• Ensure accuracy of financial and legal data flows.

• Design and develop automated test scripts for UI and APIs.

• Build scalable automation frameworks.

• Automate regression suites and critical workflows such as compliance filings, approvals, and calculations.

• Integrate automation with CI/CD pipelines.

• Validate REST / GraphQL APIs.

• Perform data validation between database and API responses.

• Test integration points with third-party APIs and government portals.

• Test multi-step approval workflows, RBAC, and document lifecycle flows.

• Ensure correct escalation and notification flows.

• Conduct basic performance testing, including API response times.

• Identify bottlenecks in workflows and support load testing efforts.

• Log clear, reproducible bugs and track defects through the lifecycle.

• Collaborate with developers for quick resolution.

• Prioritise based on business impact.

• Work closely with the Product Manager and developers for requirements clarity and early testing.

• Participate in sprint planning, daily standups, and sprint demos.

• Use Gen AI as a force multiplier.

Qualifications

• Bachelor's degree in Computer Science / IT / Engineering.

• 5-7 years of experience in QA, including manual and automation testing.

• Experience in enterprise applications / ERP / SaaS platforms.

• Strong experience in workflow-based systems.

• Strong expertise in test case design, exploratory testing, and workflow validation

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

Job Description:

Test Design & Execution

Design and execute detailed, well-structured test plans, test cases, and test scenarios to ensure high-quality product releases.

Automation Development

Develop and maintain automated test scripts for functional and regression testing using tools such as Selenium, Cypress, or Playwright.

Defect Management

Identify, log, and track defects through to resolution using tools like Jira, ensuring minimal impact on production releases.

API & Backend Testing

Conduct API testing using Postman, perform backend validation, and execute database testing using SQL/Oracle.

Collaboration

Work closely with developers, product managers, and UX designers in an Agile/Scrum environment to embed quality across the SDLC.

CI/CD Integration

Integrate automated test suites into CI/CD pipelines using platforms such as Jenkins or Azure DevOps.

Required Skills & Experience

• Minimum internship experience in Software Quality Assurance or Automation Testing.
• Hands-on experience with Selenium WebDriver, Cypress, or Playwright.
• Proficiency in at least one programming/scripting language: Java, Python, or JavaScript.
• Strong experience in functional, regression, integration, and UI testing.
• Solid understanding of SQL for data validation and backend testing.
• Familiarity with Git for version control, Jira for defect tracking, and Postman for API testing.

Desirable Skills

• Experience in mobile application testing (Android/iOS).
• Exposure to performance testing tools such as JMeter.
• Experience working with cloud platforms like AWS or Azure.

Senior Quality Engineer

Notice Period: Immediate

Purpose of the Job:

We are seeking a highly skilled and experienced Senior Quality Engineer to join our Enterprise Technology and Data team. This role is crucial in ensuring the delivery of high-quality data-driven solutions and applications across our enterprise systems. The ideal candidate will have deep expertise in quality engineering, automated testing, and extensive experience in testing large-scale data systems, particularly in ETL processes and working with Azure Fabric and Google Cloud data platforms such as BigQuery and Google Cloud Data Pipelines.

As a Senior Quality Engineer, you will be responsible for defining and implementing quality assurance processes, developing automated tests, identifying and mitigating risks, and ensuring the overall quality of our technology and data platforms across multi-cloud environments (Azure and Google Cloud Platform). You will work closely with cross-functional teams including developers, data engineers, and product managers to ensure that the highest standards of quality are maintained throughout the software development lifecycle.

Main Activities:

1. · Test Planning & Execution: Design detailed test strategies/plans, test cases, and test scripts to validate data accuracy, integrity, and system functionality in ETL pipelines across Azure and GCP (e.g., Dataflow, Data Fusion, BigQuery pipelines), including both functional and non-functional testing.
2. · Data Quality: Collaborate with data engineers to monitor and ensure the accuracy, completeness, and consistency of data across various data platforms including Azure Synapse/Fabric and Google BigQuery, validating transformations and data integrity in ETL pipelines.
3. · Data Pipeline Testing: Collaborate with data engineering teams to design and execute tests for Data pipelines running on Azure Fabric as well as Google Cloud services such as Dataflow, Dataproc, and Pub/Sub-based pipelines, ensuring transformation, integration, and storage processes function as expected.
4. · SQL Database Testing: SQL Database Testing: Development and execution of SQL-based automated tests for database validation, ensuring data integrity, performance, and security across multiple databases including BigQuery datasets and Azure SQL/Synapse environments.
5. · Performance Testing: Conduct performance testing to evaluate the scalability, stability, and performance of large-scale data systems across distributed cloud platforms including Azure and GCP.
6. · Automated Testing: Develop and maintain automated test frameworks for data applications, including ETL processes, APIs, and data integration systems using industry-standard tools, and extend automation to support BigQuery validation, GCP pipeline testing, and AI/ML data validation scenarios.
7. · Defect Tracking & Resolution: Work with development and operations teams to identify, report, and track defects across multi-cloud data ecosystems, ensuring timely resolution.
8. · Continuous Improvement: Propose and implement improvements to testing processes and frameworks to increase efficiency and effectiveness of quality assurance efforts across Azure and Google Cloud-based data platforms and AI-enabled data solutions.
9. · Collaboration: Partner with business stakeholders, project managers, and technical teams to ensure alignment with quality goals and deliverables across enterprise data platforms spanning multiple cloud providers.
10. · Mentorship: Provide guidance and mentorship to junior quality engineers, helping them improve their technical skills in modern data testing practices including cloud-native and AI-driven validation techniques.
11. · Compliance & Best Practices: Ensure adherence to industry standards and best practices related to software quality, particularly in relation to data systems, ETL processes, and cloud technologies including Azure and Google Cloud Platform environments.

Knowledge/Skill Requirements:

· Education:

1. o Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
2. · Experience:
3. o 5+ years of experience in software quality engineering, with at least 3 years of experience in an enterprise data environment.
4. o Proven experience in automated testing tools (e.g., Selenium, JUnit, TestNG, or similar frameworks).
5. o Hands-on experience with data validation, transformation, and data pipeline testing in cloud environments, specifically Azure and/or Google Cloud Platform (GCP).
6. o Strong understanding of data management, data warehousing, ETL processes, and data integration.
7. o Experience with data warehousing, data lakes, and cloud-based ETL tools including Azure Data Factory, Azure Synapse, Google BigQuery, Dataflow, and Dataproc is a plus.

Technical Skills:

1. o Proficient in scripting languages (e.g., Python, Java, SQL) for test automation and ETL process validation.
2. o Experience working with Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, as well as Google Cloud services such as BigQuery, Dataflow and Cloud Composer (Airflow) for data pipeline orchestration and validation.
3. o Strong knowledge of software development methodologies (Agile, Scrum, Waterfall) and experience in a continuous integration/continuous deployment (CI/CD) environment.
4. o Familiarity with version control systems (e.g., Git), CI/CD tools (e.g., Jenkins, Azure DevOps), and cloud infrastructure (e.g., Azure, GCP).
5. · Soft Skills:
6. o Strong analytical, problem-solving, and troubleshooting skills.
7. o Excellent communication skills, with the ability to collaborate effectively across departments.
8. o Detail-oriented with a passion for ensuring high-quality standards in data-driven solutions.
9. o Ability to work independently and as part of a team, managing multiple priorities in a fast-paced environment.
10. · Certifications/Additional Training – Nice-to-Have:
11. o Relevant certifications (e.g., Azure DevOps, Azure ML, ISTQB, Google Cloud Professional Data Engineer or Professional Cloud Developer) are a plus.
12. o Experience working with data governance tools such as Azure Purview and ensuring data compliance

About the role

We need a senior QA professional to assess our current QA practices, set up the right processes, and guide junior team members on execution. You will then scale the practice with Playwright automation.

Responsibilities

Assess existing QA processes, tools and coverage; identify gaps and drive an improvement roadmap.

Define test strategy, QA processes and quality metrics (coverage, defect leakage, release sign-off).

Guide and mentor junior QA engineers on test design, execution and automation.

Build a scalable Playwright (TypeScript) framework for UI and API tests.

Integrate automation into CI/CD with quality gates and clear reporting.

Drive adoption of AI in testing: agentic AI for test generation, self-healing scripts and failure triage, using Playwright MCP and similar tools.

Define QA approaches for AI-powered features, including LLM output evaluation and agent workflow testing.

Partner with dev and product teams to make quality a shared responsibility.

Must have

8–10 years in QA, 4+ years in test automation.

2+ years hands-on Playwright with TypeScript/JavaScript.

Proven experience assessing and setting up a QA practice from scratch.

Strong API testing, CI/CD (GitHub Actions, Jenkins or similar) and Git skills.

Experience leading and coaching junior QA engineers.

Hands-on use of AI coding assistants and agentic AI tools (e.g. Playwright MCP, Claude, GitHub Copilot) in QA workflows.

Good to have

Selenium/Cypress to Playwright migration experience.

Performance, accessibility or visual testing exposure.

ISTQB or equivalent certification.

Experience building or testing MCP servers, AI agents or LLM-based applications (evals, prompt and guardrail testing).

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.

We are seeking a curious, detail-oriented, and quality-driven tester who is passionate about building great products within a startup culture. This role goes beyond traditional testing—you will be responsible for evaluating the entire product experience before it reaches the client.

Your primary responsibility will be testing across product functionality, UI, UX, and overall usability, while also having basic awareness of automation testing tools and concepts.

You will work closely with developers, designers, and product teams to ensure that what we ship is stable, intuitive, clean, and client-ready.

Key Responsibilities

1. Manual Testing (Primary Focus)

• Perform end-to-end manual testing of web and/or mobile applications.
• Test all product features to ensure they work as expected across different scenarios.
• Identify, document, and report bugs, edge cases, inconsistencies, and usability issues.
• Validate fixes and ensure issues are fully resolved before release.
• Test applications from a real user’s perspective, not just based on requirements.

2. Product-Level Testing

• Evaluate whether the product:
• Solves the intended problem
• Has all the required features
• Feels complete and production-ready
• Identify missing flows, broken logic, or confusing behaviors.
• Ensure the product delivers a good overall experience, not just correct functionality.

3. UI Testing

• Review the visual quality of the product:
• Layout consistency
• Alignment, spacing, typography, and colors
• Check if the UI is:
• Clean and intuitive
• Not overly complex or cluttered
• Easy for users to understand and navigate
• Report UI inconsistencies across screens, devices, or browsers.

4. UX Testing

• Analyze how smooth and logical the user journey is.
• Identify friction points in:
• Navigation
• User flows
• Interactions and feedback
• Ensure the product feels natural, fast, and easy to use.
• Suggest improvements to enhance usability and user satisfaction.

5. Automation Testing Awareness

• understanding of automation testing concepts.
• Familiarity with common automation tools such as
• Selenium
• Cypress
• Playwright
• Postman (for API testing)
• Ability to understand where automation fits into the testing lifecycle.

6. Code Awareness (Secondary)

• Have a basic understanding of code and system behavior.
• Ability to:
• Read logs or error messages
• Understand where issues might originate
• Direct code-level testing is not mandatory, but awareness is a plus.

What We’re Looking For

Skills & Traits

• Strong attention to detail and observation skills
• Ability to think like an end user
• Logical thinking and problem-solving mindset
• Curious to explore edge cases and unusual scenarios
• Clear communication when reporting issues
• willingness to learn and improve continuously

Mindset & Passion

• You genuinely care about product quality
• You enjoy finding bugs, gaps, and improvements
• You take ownership of the product before it reaches the client
• You aim for “client-ready and polished,” not just “working.”

Eligibility

• A background in Computer Science, IT, Engineering, or related fields is a plus

What You’ll Gain

• Hands-on experience testing real products
• Exposure to the full product lifecycle before client delivery
• Strong foundation in manual testing, UI/UX evaluation, and product thinking
• Mentorship from experienced developers and product teams
• Opportunity to grow into a full-time QA or Product Quality role

Assignment :

https://docs.google.com/document/d/1dFsnhKXpHU3CsgisAFn1rJpb4k95FaEomF9G2moIDJs/edit?tab=t.0#heading=h.d0oiq0eiuuxv