Quality Assurance Engineer

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!

Job Title: Corporate Quality MIS Analyst – Automotive / Wiring Harness

Company: Vi-Son Cables Pvt. Ltd.

Location: Mumbai – Corporate Office

Experience: 3–7 Years

Industry: Automotive / Auto Components / Wiring Harness

Job Summary

We are looking for a Quality MIS Analyst with experience in the Automotive, Wiring Harness or Auto Components industry to manage Corporate Quality MIS and reporting. The role will be responsible for consolidating quality data from all plants, analysing KPIs and preparing reports and dashboards for Management.

Key Responsibilities

• Consolidate plant-wise Quality MIS, KPIs and performance reports.
• Analyze PPM, rejection, rework, FPY, customer complaints, CAPA and 8D.
• Prepare MIS reports, dashboards, trend analysis and Management presentations.
• Coordinate with Plant Quality Teams for timely and accurate data.
• Identify quality trends, deviations and improvement areas.
• Maintain standardized Corporate Quality MIS and databases.

Key Requirements

• 3–7 years of experience in Automotive / Wiring Harness / Auto Components Quality.
• Strong knowledge of Quality MIS, Quality KPI reporting and data analysis.
• Proficiency in MS Excel, Pivot Tables, VLOOKUP/XLOOKUP, dashboards and PowerPoint.
• Knowledge of 7 QC Tools, 8D, CAPA and Root Cause Analysis.
• Strong analytical, coordination and communication skills.

Job Title: Corporate Quality MIS Analyst – Automotive / Wiring Harness

Location: Goregaon East

Experience: 3–7 Years

Industry: Automotive / Auto Components / Wiring Harness

Role Type: Corporate HO-Based

Job Summary

We are looking for a Corporate Quality MIS Analyst with 3–7 years of experience in the Automotive, Wiring Harness, or Auto Components industry. The candidate will be responsible for consolidating quality data from multiple plants, analysing Quality KPIs, preparing MIS reports and dashboards, and providing management-level insights for quality improvement.

Key Responsibilities

Consolidate plant-wise Quality MIS, KPIs, and performance reports.

Analyse PPM, rejection, rework, FPY, customer complaints, CAPA, and 8D data.

Prepare quality MIS reports, dashboards, trend analysis, and management presentations.

Coordinate with Plant Quality Teams to ensure timely and accurate data submission.

Identify quality trends, deviations, recurring issues, and improvement opportunities.

Maintain standardized Corporate Quality MIS formats, databases, and reporting systems.

Support management reviews with accurate quality data and analytical insights.

Track plant-wise quality performance and highlight gaps against defined targets.

Key Requirements

3–7 years of experience in Quality MIS / Quality Reporting within Automotive, Wiring Harness, or Auto Components.

Strong understanding of Quality KPIs, MIS reporting, and data analysis.

Advanced proficiency in MS Excel, including Pivot Tables, VLOOKUP/XLOOKUP, and dashboards.

Good knowledge of PowerPoint and management presentation preparation.

Knowledge of 7 QC Tools, 8D, CAPA, Root Cause Analysis, PPM, Rejection, Rework, and FPY.

Strong analytical, coordination, communication, and reporting skills.

Experience coordinating with multiple plant/quality teams will be preferred.

Job Title: Customer Support Quality analyst

Location: Bangalore, Koramangala (walkin interview)

Job Type: Full-time

Reports To: Quality Lead

Experience: Minimum 2 to 3 years as a Quality

Analyst in a customer service environment

QA engineers don't apply!!

As a Quality Analyst, you will audit customer interactions across voice, chat and ticketing, email channels,

identify what is going wrong and why, and convert those findings into feedback and coaching that

measurably improves agent performance. The role carries end-to-end ownership of the quality cycle —

auditing against defined parameters, marking critical errors accurately, delivering structured feedback,

participating in calibration, identifying training needs and publishing quality reporting. You will work closely

with the Training team and with Operations, so findings translate into action on the floor rather than sitting

in a report.

Bachelor's degree or equivalent.

• Minimum 2 to 3 years of experience as a Quality Analyst in a customer service, customer support or

contact centre environment.

• Hands-on experience auditing interactions across at least one of voice, chat or ticketing, with exposure

to more than one channel preferred.

• Working knowledge of quality management or audit tools, and the ability to pick up a new platform

quickly.

• Sound understanding of quality parameters, critical error frameworks and audit governance.

• Practical experience of feedback mechanisms and coaching models, with a track record of feedback

that changed agent behaviour.Experience of participating in calibration and maintaining scoring consistency.

• Strong analytical skills and working Excel — pivot tables, lookups and comfort handling large audit data

sets.

• Excellent written and verbal communication, with the ability to write observations a third party can act

on without further explanation.

• Objectivity and the confidence to hold a position in a performance conversation, balanced with

empathy towards agents.

• Ability to manage multiple priorities and meet audit and reporting deadlines consistently.

Key Responsibilities

• Conduct quality audits of US payment transactions and operational activities.
• Review transactions for accuracy, completeness, and compliance with established procedures.
• Validate payment processing, refunds, reversals, settlements, and transaction status.
• Identify discrepancies, processing errors, and potential risks, and coordinate with operations teams for resolution.
• Ensure adherence to SOPs, client guidelines, internal controls, and compliance requirements.
• Perform root-cause analysis to identify recurring errors and recommend corrective actions.
• Prepare quality reports, maintain audit records, and track quality performance metrics.
• Monitor transaction accuracy, error rates, turnaround time, and other quality KPIs.
• Participate in calibration sessions with Operations, Training, and Quality teams.
• Provide feedback to team members to improve accuracy and process performance.
• Support process improvement initiatives to reduce errors and enhance operational efficiency.

Mandatory Requirements

• Minimum 2 years of overall professional experience.
• Graduation is mandatory.
• Minimum 2 years of relevant experience in US Payments.
• Experience in payment processing, transaction auditing, or Quality Assurance is required.
• US international voice process experience is mandatory.
• Domestic voice experience will not be considered.
• Good understanding of payment transactions, refunds, reversals, settlements, and payment disputes.
• Strong analytical, problem-solving, and attention-to-detail skills.
• Good communication and stakeholder-management skills.
• Proficiency in MS Excel and quality reporting.
• Must be comfortable working in US shifts and from the office in Gurugram.
• Must be comfortable with a one-way cab facility.
• PF registration with the previous organization is mandatory.

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 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.

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

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.