DATA QA MANAGER

Position: Test Engineer

Company : Mayura Consultancy Services

Experience: 2 to 4 yrs

Location : Bangalore

Work Location: Work From Home(WFH)

Apply : Please apply using the URL below Once you complete the application form, we will review your profile and get back to you.

Website :

https://www.mayuraconsultancy.com/careers/test-engineer-opening-mcs?r=jlp

MCS is seeking a meticulous and detail-oriented experienced Test Engineer with minimum of 2 Years of relevant experience to join our team. As a Test Engineer, you will play a crucial role in ensuring the highest standards of quality and efficiency in our products or services. Your primary responsibility will be to assess and evaluate processes, identify areas for improvement, and develop strategies to enhance quality across all aspects of our organization.

Responsibilities

• Develop and implement quality assurance standards, procedures, and methodologies to ensure consistency and excellence in our products, services, or processes.
• Conduct comprehensive evaluations and audits of products, services, or processes to identify deviations, defects, or areas of improvement.
• Maintain detailed records of quality assessments, findings, and recommendations.
• Create and update quality documentation, including standard operating procedures.
• Investigate the root causes of quality issues and collaborate with relevant teams to implement corrective and preventive actions.
• Provide guidance and training to teams and employees on quality standards, best practices, and continuous improvement methodologies.
• Establish feedback mechanisms and channels for employees and customers to report quality-related concerns or suggestions for improvement.
• Prepare and deliver regular reports on quality performance, highlighting areas of success and areas requiring attention.
• Ensure that our processes and products adhere to relevant industry standards, regulations, and compliance requirements
• Drive a culture of continuous improvement by identifying opportunities to streamline processes and enhance quality.

Qualifications:

• Bachelor's degree or Master's degree in a relevant field (Quality Management, Business, Engineering, etc.)
• Proven experience of 1-2 years as a Test Engineer.
• Strong analytical and problem-solving skills.
• Proficiency in quality management tools and methodologies (e.g., Six Sigma, Lean, ISO standards).
• Excellent communication skills.
• Attention to detail and a commitment to precision.
• Ability to work collaboratively with cross-functional teams.
• Familiarity with quality management software and tools.

If you have a keen eye for detail, a passion for process improvement, and the ability to drive positive change, we invite you to apply. This role offers the opportunity to make a significant impact on our organization's quality standards and contribute to our ongoing success. Apply today to be a part of our quality-driven team!

Sr. Quality Analyst

Location: Ahmedabad

Experience: 3+ Years

Employment Type: Full-Time

Industry: IT Services / Software Development

Job Description

We are looking for an experienced Sr. Quality Analyst with 3+ years of experience in software quality assurance and testing. The candidate should have hands-on experience testing web and mobile applications, particularly business applications such as CRM, ERP, HRMS, Complaint Management Systems, CMS, and E-commerce websites.

The candidate will be responsible for planning and executing testing activities, identifying defects, ensuring product quality, and coordinating with development and project teams throughout the software development lifecycle.

Key Responsibilities

• Test web and mobile applications, including CRM, ERP, HRMS, Complaint Management Systems, CMS, and E-commerce applications.
• Review requirements specifications and technical design documents and provide timely, meaningful feedback.
• Analyze functional requirements and translate them into effective test scenarios and test cases.
• Create detailed, comprehensive, and well-structured test plans, test scenarios, and test cases.
• Estimate, prioritize, plan, and coordinate testing activities.
• Identify, document, track, and follow up on bugs through the complete defect lifecycle.
• Perform System Testing, Functional Testing, Regression Testing, and other required testing activities.
• Perform thorough regression testing after bugs are fixed.
• Prepare and present testing status reports to the relevant stakeholders.
• Analyze test results, identify issues, and escalate critical issues to the appropriate teams.
• Participate in all phases of the Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC).
• Coordinate closely with developers, project managers, business analysts, and other stakeholders to ensure timely resolution of defects.
• Support the QA team in maintaining testing standards and processes.
• Handle and guide junior QA team members and coordinate day-to-day testing activities.
• Ensure deliverables meet defined quality standards before release.

Required Skills & Qualifications

• 3+ years of proven experience in Software Quality Assurance / Software Testing.
• Strong knowledge of Manual T

Job Description – QA & Data Validation Engineer

Experience: 5–6 Years

Location: Pan India

Employment Type: Full-Time

Work Mode: Pan India / Remote or Hybrid as applicable

About the Role

We are looking for an experienced QA & Data Validation Engineer with 5–6 years of hands-on experience in data quality assurance, solution analysis, data validation, SQL, Python, PySpark, Azure Data Factory, Azure Synapse Analytics, and Power BI validation.

The ideal candidate will be responsible for validating large-scale data pipelines, performing source-to-target reconciliation, analyzing business rules, investigating data defects, and ensuring the accuracy, completeness, and consistency of data across source, staging, intermediate, and target systems.

The role requires strong analytical and problem-solving skills along with the ability to work closely with development, data engineering, business, and other stakeholders in an Agile delivery environment.

You will also contribute to the design, development, and maintenance of automated validation frameworks and utilities using Python, SQL, PySpark, Azure Data Factory, and Azure Synapse.

---

Key Responsibilities

1. QA & Solution Analysis

- Analyze business and technical requirements to understand data processing and validation needs.

- Participate in requirement analysis sessions and clarify functional and technical requirements with stakeholders.

- Review solution designs, data flows, mapping documents, interface specifications, and business rules.

- Validate that implemented solutions meet defined business and technical requirements.

- Identify gaps, inconsistencies, ambiguities, and potential data quality issues during requirement and solution analysis.

- Translate business requirements into detailed test scenarios, test cases, and validation conditions.

- Perform end-to-end validation of data processing workflows.

- Ensure data is accurately processed from source systems through intermediate layers to final outputs.

- Validate business rules and transformation logic implemented within data pipelines.

2. Test Planning & Execution

- Prepare comprehensive test strategies, test plans, test scenarios, and test cases for data-intensive applications.

- Execute functional, integration, regression, system, and data validation testing.

- Perform positive and negative testing for different data processing scenarios.

- Validate data pipelines across multiple environments, including staging, testing, and production.

- Identify test data requirements and prepare appropriate datasets for validation.

- Execute SQL queries to validate data processing and transformation results.

- Document test results, observations, defects, and validation evidence.

- Track testing progress and communicate status, risks, issues, and dependencies to stakeholders.

3. Data Validation & Reconciliation

- Perform detailed source-to-target data validation and reconciliation.

- Validate source, intermediate, staging, and output datasets.

- Perform record count validation between source and target systems.

- Verify data completeness, consistency, accuracy, and integrity.

- Validate data transformations against defined business rules.

- Perform field-level and record-level comparisons.

- Validate data types, formats, precision, scale, and null handling.

- Verify schema structure, layout, column names, and column sequence.

- Validate mandatory and optional fields.

- Identify missing, duplicate, truncated, or incorrectly transformed records.

- Analyze invalid records, rejected records, and exception datasets.

- Verify exception and reject-handling mechanisms.

- Compare production and staging data to identify discrepancies.

- Perform reconciliation between files, databases, and reporting layers.

- Validate data across different processing stages and identify the root cause of discrepancies.

4. File & Data Processing Validation

- Validate large-scale datasets across multiple file formats.

- Perform validation of:

 - CSV files

 - Delimited files

 - Fixed-width files

 - Excel files

 - Database tables

 - Structured and semi-structured datasets

- Validate file layouts, headers, delimiters, record formats, and column sequences.

- Verify file-level and record-level counts.

- Analyze source, intermediate, and final output files.

- Validate file-to-database and database-to-file reconciliation.

- Identify incomplete, corrupted, malformed, or invalid records.

- Verify data movement and transformation between different storage locations.

- Validate Azure-to-AWS file transfer processes.

- Ensure transferred files are complete and match the expected source datasets.

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5. Defect Investigation & Root Cause Analysis

- Investigate data discrepancies and application/data pipeline defects.

- Perform detailed root cause analysis for data quality and validation failures.

- Analyze source data, transformation logic, pipeline execution, database records, and output datasets to identify defects.

- Collaborate with developers and data engineers to resolve identified issues.

- Reproduce defects and provide detailed technical evidence.

- Perform defect impact analysis.

- Conduct retesting and regression testing after defect resolution.

- Monitor recurring data quality issues and recommend preventive solutions.

- Maintain detailed defect documentation and validation results.

---

6. Python Development & Automation

- Develop Python scripts and utilities for data validation and reconciliation.

- Design, develop, and maintain reusable data validation frameworks.

- Automate repetitive data comparison and validation activities.

- Build automated utilities for:

 - Record count validation

 - Data completeness checks

 - Schema validation

 - Column sequence validation

 - Source-to-target comparison

 - Duplicate detection

 - Exception identification

 - Data quality checks

 - Automated reporting

- Develop Python-based validation and reporting utilities.

- Optimize Python scripts for processing large datasets.

- Maintain and enhance existing automation frameworks.

- Implement reusable validation components to improve testing efficiency and coverage.

---

7. SQL Development & Data Analysis

- Write complex SQL queries for data analysis and validation.

- Perform data extraction and comparison using SQL Server / SSMS.

- Validate source and target database records.

- Perform joins, aggregations, subqueries, CTEs, and analytical queries as required.

- Develop SQL queries to identify data mismatches, duplicates, missing records, and transformation issues.

- Validate database tables, schemas, columns, constraints, and relationships.

- Perform record count and reconciliation checks using SQL.

- Analyze SQL Server metrics databases.

- Validate data processing results against expected business rules.

- Troubleshoot data discrepancies using SQL queries.

---

8. PySpark & Large-Scale Data Processing

- Develop and execute PySpark notebooks for large-scale dataset processing and validation.

- Analyze large volumes of structured and semi-structured data.

- Perform data transformation and validation using PySpark.

- Compare large source and target datasets efficiently.

- Implement data quality and reconciliation checks using PySpark.

- Analyze exception, reject, and invalid datasets.

- Optimize data validation processes for large datasets.

- Work with Azure Synapse notebooks and data processing environments.

---

9. Azure Data Factory & Pipeline Testing

- Design and execute validation scenarios for Azure Data Factory (ADF) pipelines.

- Validate pipeline execution, data movement, transformations, and dependencies.

- Monitor pipeline runs and investigate failures.

- Validate source-to-target data movement through ADF.

- Develop and maintain test pipelines using Azure Data Factory.

- Verify pipeline parameters, triggers, activities, and execution results.

- Validate file ingestion and processing workflows.

- Perform end-to-end testing of data pipelines.

- Investigate pipeline-related data discrepancies and failures.

---

10. Azure Synapse Analytics

- Work with Azure Synapse Analytics for data validation and analysis.

- Develop and execute Synapse notebooks using PySpark.

- Validate datasets processed through Synapse pipelines and notebooks.

- Perform data quality and reconciliation checks within Synapse environments.

- Analyze large-scale datasets and processing results.

- Validate data movement between Azure storage, Synapse, databases, and reporting systems.

---

11. Azure Storage & Cosmos DB

- Validate data stored in Azure Storage Accounts and Containers.

- Verify file ingestion, processing, and output data.

- Perform file-level and content-level validation within Azure storage.

- Validate data processing workflows involving Azure Storage.

- Perform data validation in Azure Cosmos DB.

- Verify records, fields, formats, and data completeness within Cosmos DB.

- Investigate discrepancies between source files, Azure storage, databases, and Cosmos DB.

---

12. AWS S3 & Azure-to-AWS Validation

- Validate files stored in AWS S3.

- Perform source-to-target validation for files transferred between Azure and AWS.

- Verify file counts, file names, sizes, formats, and record counts.

- Compare source files with transferred S3 files.

- Validate data integrity after cloud-to-cloud file transfers.

- Investigate missing, incomplete, duplicate, or corrupted files.

- Support end-to-end validation of Azure-to-AWS data movement processes.

---

13. Metrics, Reporting & Power BI Validation

- Extract and validate source system metrics.

- Validate metrics stored in SQL Server databases.

- Perform reconciliation between source metrics, database metrics, and reporting outputs.

- Validate Power BI dashboards and reports against underlying source data.

- Verify report calculations, KPIs, measures, filters, and aggregations.

- Perform file-to-database-to-Power BI reconciliation.

- Validate data displayed in Power BI against SQL Server and source datasets.

- Identify discrepancies between backend data and dashboard results.

- Support reporting and analytics teams with data validation and troubleshooting.

---

14. Production Support & Job Monitoring

- Monitor scheduled data processing jobs and pipelines.

- Perform production validation and health checks.

- Analyze production failures and data discrepancies.

- Support incident investigation and resolution.

- Compare production and staging environments to identify differences.

- Validate production data after deployments and pipeline executions.

- Monitor ECG jobs and provide support for job execution and data processing issues.

- Perform post-production validation and reconciliation.

- Communicate critical production issues and risks to relevant stakeholders.

---

15. Agile Delivery & Stakeholder Collaboration

- Work effectively within an Agile/Scrum delivery environment.

- Participate in sprint planning, daily stand-ups, backlog refinement, sprint reviews, and retrospectives.

- Collaborate with Business Analysts, Developers, Data Engineers, DevOps teams, Product Owners, and other stakeholders.

- Provide timely updates on testing progress and issues.

- Participate in requirement clarification and solution discussions.

- Support release planning and production deployment activities.

- Track work items and defects using Rally.

- Ensure testing activities are aligned with sprint and release timelines.

---

Required Technical Skills

Mandatory Skills

- 5–6 years of experience in QA / Data Validation / Data Testing / Data Quality Engineering.

- Strong experience in SQL and data analysis.

- Hands-on experience with Python development and automation.

- Experience with PySpark and large-scale data processing.

- Strong experience with Azure Data Factory (ADF).

- Experience with Azure Synapse Analytics / Synapse Pipelines / Notebooks.

- Strong understanding of source-to-target data validation and reconciliation.

- Experience in data completeness, record count, schema, layout, and column validation.

- Experience in defect investigation and root cause analysis.

- Experience validating large datasets and multiple file formats.

- Experience with SQL Server / SSMS.

- Experience with Power BI dashboard/report validation.

- Strong understanding of data pipelines and ETL/ELT processes.

Cloud & Data Platform Experience

- Azure Data Factory

- Azure Synapse Analytics

- Azure Synapse Pipelines

- Azure Synapse Notebooks

- Azure Storage Accounts

- Azure Storage Containers

- Azure Cosmos DB

- Azure Privileged Identity Management (PIM)

- AWS S3

- Azure-to-AWS file transfer validation

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Preferred Skills

- Experience developing automated data validation frameworks.

- Experience building automated reporting and reconciliation utilities.

- Knowledge of ETL/ELT testing methodologies.

- Experience working with very large datasets.

- Experience in production data validation and support.

- Knowledge of cloud-based data platforms.

- Experience with Power BI data reconciliation.

- Experience working in Agile environments.

- Experience with Rally or similar Agile project management tools.

- Familiarity with Microsoft Copilot and AI-assisted productivity/automation tools.

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Key Responsibilities at a Glance

The successful candidate will be responsible for:

- Requirement analysis and clarification

- Business rule validation

- Test planning and execution

- Data quality and data validation

- Source-to-target reconciliation

- Record count and completeness validation

- Schema and layout validation

- Column sequence validation

- Exception and reject data analysis

- Production vs. staging comparison

- SQL-based data analysis

- Python automation

- PySpark development

- Azure Data Factory pipeline testing

- Azure Synapse validation

- Azure Storage validation

- Cosmos DB validation

- AWS S3 validation

- Azure-to-AWS file transfer validation

- Power BI dashboard validation

- SQL Server metrics validation

- Automated reporting

- Defect investigation and root cause analysis

- Production job monitoring and support

- Agile delivery and stakeholder collaboration

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Candidate Profile

We are looking for a detail-oriented, analytical, and technically strong QA/Data Validation professional who can work independently on complex data validation assignments.

The candidate should be comfortable working with large datasets, writing SQL queries, developing Python automation, analyzing PySpark datasets, validating cloud-based data pipelines, and troubleshooting data discrepancies across multiple systems.

Strong communication and stakeholder management skills are essential, as the role requires regular collaboration with technical and business teams.

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Education

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field is preferred.

Experience

5–6 years of relevant professional experience in QA, Data Testing, Data Validation, ETL Testing, Data Quality, Data Engineering QA, or a similar role.

Location

Pan India

Employment Type

Full-Time

Keywords

QA Engineer, Data QA, Data Validation, Data Testing, ETL Testing, Data Quality, SQL, Python, PySpark, Azure Data Factory, ADF, Azure Synapse, Synapse Analytics, Synapse Pipelines, Azure Storage, Cosmos DB, AWS S3, Power BI, SQL Server, SSMS, Data Reconciliation, Source-to-Target Validation, Data Pipeline Testing, ETL QA, Automation Testing, Data Analytics, Root Cause Analysis, Agile, Rally, Cloud Data Testing, Data Engineering QA.

Job Description:

As a QA Associate at Binocs, you will play a pivotal role in ensuring the highest quality standards for our software products. With a direct reporting line to the QA Lead, you will be involved in designing, implementing, and executing test plans to identify software issues. This role is ideal for someone with a strong technical background in engineering, experience in fintech or finance software companies, and a passion for quality assurance and detail-oriented testing.

Key Responsibilities:

• Test Plan Development: Create comprehensive and well-structured test plans and test cases based on product specifications.
• Quality Assurance: Execute test cases (manual or automated) and analyze results to ensure software quality.
• Issue Documentation: Document and track bugs, as well as collaborate with the development team to ensure timely resolution.
• Process Improvement: Identify, recommend, and implement improvements in testing processes to enhance efficiency and quality.
• Software Validation: Validate that product features meet requirement specifications and are free of defects.
• Cross-functional Collaboration: Work closely with the product management and development teams to understand product vision and deliver software that aligns with customer and market needs.

Qualifications:

• Bachelor’s degree in Engineering, Computer Science, or related field.
• 2+ years of experience in quality assurance, preferably within fintech or finance software companies.
• Familiarity with software QA methodologies, tools, and processes.
• Experience in writing clear, concise, and comprehensive test plans and test cases.
• Hands-on experience with both white box and black box testing.
• Strong knowledge of software QA metrics, including bug tracking and reporting tools.
• Excellent analytical skills and attention to detail.
• Effective communication skills and the ability to work in a fast-paced environment.

Benefits:

Joining Binocs means being part of a passionate team dedicated to transforming the loan management landscape. We offer a dynamic, innovative environment where your work directly contributes to our vision of efficient, transparent, and data-driven loan management. Our competitive compensation package, including equity, reflects our commitment to attracting and retaining top talent.

About Us:

Binocs.co empowers institutional lenders with next-generation loan management software, streamlining the entire loan lifecycle and facilitating seamless interaction among stakeholders.

Team: Binocs.co is led by a passionate team with extensive experience in financial technology, lending, AI, and software development.

Investors: Our journey is backed by renowned investors who share our vision for transforming the loan management landscape: Beenext, Arkam Ventures, Accel, Saison Capital, Blume Ventures, Premji Invest, and Better Capital.

• Web Application Testing: Design, document, and execute comprehensive functional test plans and test cases for complex, highly interactive web applications, ensuring they meet specified requirements and provide an excellent user experience.
• Backend API Testing: Possess deep expertise in validating backend RESTful and/or SOAP APIs. This includes testing request/response payloads, status codes, data integrity, security, and robust error handling mechanisms.
• Data Validation with SQL: Write and execute complex SQL queries (joins, aggregations, conditional logic) to perform backend data checks, verify application states, and ensure data integrity across integration points.
• I Automation (Playwright & TypeScript):
• Design, develop, and maintain robust, scalable, and reusable UI automation scripts using Playwright and TypeScript.
• Integrate automation suites into Continuous Integration/Continuous Deployment (CI/CD) pipelines.
• Implement advanced automation patterns and frameworks (e.g., Page Object Model) to enhance maintainability.
• Prompt-Based Automation: Demonstrate familiarity or hands-on experience with emerging AI-driven or prompt-based automation approaches and tools to accelerate test case generation and execution.
• API Automation: Develop and maintain automated test suites for APIs to ensure reliability and performance.
• JMeter Proficiency: Utilize Apache JMeter to design, script, and execute robust API load testing and stress testing scenarios.
• Analyze performance metrics, identify bottlenecks (e.g., response time, throughput), and provide actionable reports to development teams.
• Experience: 4+ years of professional experience in Quality Assurance and Software Testing, with a strong focus on automation.
• Automation Stack: Expert-level proficiency in developing and maintaining automation scripts using Playwright and TypeScript.
• Testing Tools: Proven experience with API testing tools (e.g., Postman, Swagger) and strong functional testing methodologies.
• Database Skills: Highly proficient in writing and executing complex SQL queries for data validation and backend verification.
• Performance: Hands-on experience with Apache JMeter for API performance and load testing.
• Communication: Excellent communication and collaboration skills to work effectively with cross-functional teams (Developers, Product Managers).
• Problem-Solving: Strong analytical and debugging skills to efficiently isolate and report defects.

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.

We are looking for a Quality Assurance Engineer to own testing across our products. The primary focus is MyMotor, Zoop’s consumer vehicle services application on Android and iOS, which helps users look up vehicle registration details, check and pay traffic challans, store documents, and access insurance, FASTag, fuel price and EV charging services.

Alongside the mobile application you will also be responsible for testing the MyMotor website and the backend APIs that both products depend on. This is a hands-on role on a small engineering team, where you will be the last check before a release reaches customers, including flows where a defect costs a user real money.

Requirements

• 2-3 years of hands-on experience in software quality assurance, including testing mobile applications.
• Practical experience testing both Android and iOS applications on real devices, not only emulators and simulators.
• Experience testing web applications, including cross-browser and responsive behaviour.
• Hands-on API testing experience using ApiDog/Postman or a comparable tool, with the ability to read JSON, interpret status codes and validate a response against a contract.
• Ability to write clear, complete test cases and test plans from requirements, designs or acceptance criteria.
• A strong defect report: precise reproduction steps, expected versus actual behaviour, correct severity, and the logs, recordings and build details a developer needs to act without asking follow-up questions.
• Working understanding of the software testing life cycle and of functional, regression, smoke, sanity, integration and exploratory testing.
• Experience with a defect tracking tool such as Linear or Jira.
• A working understanding of client-server architecture and of how a mobile or web client communicates with a backend.

QA Test Engineer – Manual & Automation

Location: Bangalore, India

Experience: 2–5 years

Employment Type: Full-time

Work Mode: On-site

About Juntrax

Juntrax is a B2B Cloud SaaS product company building business operations software for SMEs. Our platform helps businesses manage their day-to-day operations through streamlined digital workflows and tools.

We are looking for a QA Test Engineer who can ensure the quality, reliability, and usability of our product through a combination of manual and automated testing.

Key Responsibilities

• Design, develop, and execute manual and automated test cases for web-based SaaS applications.
• Perform functional, regression, integration, system, and API testing.
• Create and maintain automated test scripts for critical product workflows.
• Identify, document, track, and retest bugs using appropriate bug-tracking tools.
• Collaborate closely with developers, UI/UX designers, product teams, and other stakeholders to understand requirements and ensure product quality.
• Participate in requirement analysis and contribute to test planning and test strategy.
• Perform cross-browser and responsive testing to ensure a consistent user experience.
• Validate new features, enhancements, bug fixes, and product releases.
• Maintain clear documentation of test scenarios, test cases, defects, and test results.
• Help improve QA processes, automation coverage, and overall testing efficiency.

Required Skills & Qualifications

• 2–5 years of experience in Software Quality Assurance / Testing.
• Strong understanding of manual testing concepts and QA methodologies.
• Hands-on experience with automation testing using tools/frameworks such as Selenium, Playwright, Cypress, or similar.
• Experience with API testing using tools such as Postman or similar.
• Good understanding of SQL and database validation.
• Experience with regression, integration, functional, and end-to-end testing.
• Familiarity with Git/version control and basic CI/CD concepts.
• Ability to write clear and effective test cases and defect reports.
• Good analytical and problem-solving skills.
• Strong attention to detail and a quality-focused mindset.

Good to Have

• Experience testing B2B SaaS or cloud-based applications.
• Experience with JavaScript/TypeScript, Python, Java, or another programming language.
• Experience integrating automated tests into CI/CD pipelines.
• Familiarity with Agile/Scrum development environments.
• Experience with performance or security testing.

What We’re Looking For

• Someone who can think beyond the happy path and identify edge cases and potential failure points.
• A QA professional who is comfortable working independently as well as with cross-functional teams.
• Someone who takes ownership of product quality from requirement analysis through release.
• A continuous learner who is interested in increasing automation coverage and improving QA processes.

Why Join Juntrax?

• Work directly on a growing B2B SaaS product.
• Gain exposure to the complete software development and release lifecycle.
• Opportunity to contribute to both manual and automation QA practices.
• Work closely with engineering, product, and leadership teams.
• Be part of a fast-paced startup environment where your work has a direct impact on the product.

IT Applications Senior Quality Assurance: (Remote) (Arabic Language)

Job Summary:

The Senior IT Applications Quality Assurance (QA) will be responsible for ensuring the quality and reliability of complex IT applications for the organization. The candidate will work closely with cross-functional teams to ensure that IT applications are tested in accordance with industry-standard QA methodologies and best practices. This position requires excellent communication, problem-solving, and leadership skills, as well as deep understanding of QA processes and methodologies.

Key Responsibilities:

• Define and implement QA strategies and processes that align with industry standard methodologies.

• Develop QA test plans, test cases, and test scripts for complex IT applications.

• Develop and maintain automated test scripts to support regression and integration testing.

• Plan, execute, and manage QA activities from requirements analysis to release sign-off.

• Work closely with cross-functional teams, including development, business analysts, project managers, and infrastructure teams to ensure comprehensive test coverage.

• Communicate test progress, results, and issue resolution to project stakeholders, management, and technical audiences.

• Manage and monitor the defect lifecycle process, including tracking, reporting, and resolution.

• Continuously improve and optimize the QA process, including working with IT colleagues to identify opportunities for automation and process improvement.

• Ensure that QA activities comply with organizational policies, standards, and governance frameworks.

Qualifications and Skills:

• Bachelor’s degree in computer science or related field.

• Professional certification, such as Six Sigma, Quality Engineer, or Quality Auditor

• At least 7 years of experience in IT quality assurance, with a track record of successful delivery of complex IT applications, with an emphasis on automation testing.

• Certification- Certified Software Quality Analyst (CSQA)/ Certified Software Tester (CSTE) Certification.

• Strong knowledge of QA methodologies, including Agile, Waterfall and hybrid.

• Strong understanding of automation testing tools and frameworks, such as Selenium, Appium, and Cucumber.

• Experience with code review, performance, and security testing.

• Experience with mobile application testing preferred.  

• Strong knowledge of IT risk management frameworks and IT governance best practices.

• Excellent communication, negotiation, problem-solving, and leadership skills.

• Strong analytical and problem-solving skills.

• Able to mentor and train less experienced IT QA professionals.

Title                                 : Senior Data & AI Quality Engineer (Ingestion · Evaluation · Testing)

Experience                    : 5+ years

Work type                      : Chennai - Work from Office/ Other Locations - Remote

Employment Type      : Full Time

Notice Period               : Immediate

Work Day                       :Mon to Fri

Key Responsibilities:

• Ingestion pipelines: Confluence, SharePoint/Microsoft 365 (Graph), and repository connectors — parsing, chunking, metadata, incremental sync, data-quality controls
• Synthetic and non-production data design: corpora shaped to banking IT content (runbooks, incidents, KB articles, change records) with realistic permission structures — the foundation of the cloud-first build
• The evaluation harness as a product: golden question sets, retrieval precision/faithfulness/citation-accuracy scoring, the zero-leakage permission suite, the zero-unauthorized-actions agent suite; CI-integrated regression gates
• Performance and load testing with the platform engineer: concurrency profiles, soak tests, degraded-mode behavior
• UAT orchestration and defect triage across both use cases; acceptance evidence packs per milestone
• Measurement reporting foundations: the before/after value metrics (time saved per incident, per search) the client's executives receive monthly

Technical Skills:

• 5+ years across data engineering and quality engineering with production Python; you have built pipelines AND the tests that police them
• LLM evaluation experience: has designed or operated retrieval/generation quality measurement with numeric thresholds (RAGAS-class metrics, custom harnesses, or equivalent) — not just eyeballed outputs
• Document-processing depth: parsing real enterprise content (tables, permissions, versions, mess), chunking trade-offs, metadata design

• Test-suite craftsmanship: negative and adversarial test design — the leakage suite is a security artifact, and you think like an attacker when writing it
• Load/performance testing experience (Locust, k6, or equivalent) and defect-triage discipline

Strongly Preferred :

Synthetic-data generation for regulated domains; Microsoft Graph and Confluence APIs; Milvus/pgvector; Splunk data onboarding; UAT facilitation with business users; banking data-handling standards

About Ampera: 

Ampera Technologies, a purpose driven Digital IT Services with primary focus on supporting our client with their Data, AI / ML, Accessibility and other Digital IT needs. We also ensure that equal opportunities are provided to Persons with Disabilities Talent. Ampera Technologies has its Global Headquarters in Chicago, USA and its Global Delivery Center is based out of Chennai, India. We are actively expanding our Tech Delivery team in Chennai and across India. We offer exciting benefits for our teams, such as 1) Hybrid and Remote work options available, 2) Opportunity to work directly with our Global Enterprise Clients, 3) Opportunity to learn and implement evolving Technologies, 4) Comprehensive healthcare, and 5) Conducive environment for Persons with Disability Talent meeting Physical and Digital Accessibility standards.