DATA QA MANAGER

Job Overview: 

We are seeking a skilled QA Engineer with expertise in testing frontend, backend systems, PostgreSQL, and ensuring dataflow and report consistency. The ideal candidate will have experience in performing API testing, including load and stress tests. You will be responsible for designing and implementing test plans to ensure our systems are reliable, scalable, and functionally sound. 

Key Responsibilities:

• Conduct thorough testing of frontend and backend components to ensure alignment with design specifications and functionality requirements.
• Perform comprehensive PostgreSQL testing, including database integrity checks, query performance analysis, and ensuring data consistency.
• Validate dataflow across systems to ensure data accuracy, consistency, and integrity in real-time or batch processing pipelines.
• Test the consistency of reports generated from databases, ensuring they reflect the correct, up-to-date data from the underlying systems.
• Design and execute API testing for both functionality and performance (load, stress, and scalability tests).
• Create, maintain, and enhance automated test scripts for frontend, backend, and API testing.
• Collaborate with developers, product managers, and other stakeholders to ensure clarity in requirements and testing coverage.
• Identify, document, and track defects using bug tracking tools such as Jira, and work closely with the development team for prompt resolution.
• Ensure that all testing results meet the highest quality standards and are aligned with project deadlines.
• Provide insights and suggestions for improvements in the testing process and tools

Required Skills & Experience:

• 2+ years of experience as a QA Engineer, with hands-on experience testing frontend and backend applications.
• Strong experience with PostgreSQL or similar relational databases, including writing SQL queries to validate data and performance.
• Experience with API testing tools such as Postman, SoapUI, or JMeter for functional, load, and stress testing.
• Familiarity with load and stress testing methodologies to validate system performance under varying conditions.
• Experience testing data pipelines and ensuring dataflow consistency across ETL processes and distributed systems.
• Strong understanding of data validation, report consistency, and how data should move accurately through multiple systems.
• Experience with backend testing, including working with RESTful APIs and validating request/response cycles.
• Familiarity with version control systems (e.g., Git).
• Strong problem-solving skills with the ability to troubleshoot and isolate issues in a complex system.
• Excellent communication skills to interact effectively with cross-functional teams.

Nice to Have:

● Experience with CI/CD pipelines to automate testing and deployment processes.

● Knowledge of NoSQL databases like MongoDB in addition to relational databases.

● Familiarity with cloud platforms such as AWS, GCP, or Azure for testing cloud-based applications.

● Experience with performance monitoring tools like New Relic, Dynatrace, or Grafana.

● Experience with test automation frameworks like Selenium, Cypress, or TestCafe for frontend testing.

Qualifications:

● Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent practical experience).

● Proven track record in testing web applications, data pipelines, and APIs.

What We Offer:

● Competitive salary and benefits package.

● A chance to work on challenging and cutting-edge technologies.

● Flexible working hours and remote work options.

● Opportunities for career growth and learning.

● An inclusive and collaborative work environment

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!

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

• 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.

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.

Job Description: Software Tester – Manual Testing

Experience Required: 2 Years – 5 Years

Job Overview

Join Cyber Infrastructure (CIS), a CMMI Level 5 company, as a Senior Software Tester. You'll play a crucial role in ensuring the quality of world-class software for our global clients, primarily in the US and EMEA. In our AI-augmented delivery environment, you will apply your meticulous testing skills to complex web applications, collaborate with a dynamic team, and contribute directly to client success. We offer a stable career with clear pathways for growth and opportunities to mentor junior team members.

Educational Qualifications

BE/ME/B.Tech/M.Tech/MCA/MCM/BCA/MSc, PGDCA, or equivalent degree in a related field.

Roles and Responsibilities

• Design, develop, and execute comprehensive test plans, test cases, and test scenarios.
• Perform various types of manual testing, including functional, regression, integration, smoke, and sanity testing.
• Thoroughly test web applications to ensure cross-browser compatibility and responsive design.
• Identify, document, and track defects with precision using tools like JIRA, ensuring clear communication with the development team.
• Analyze business requirements to identify gaps, ambiguities, and potential issues before development begins.
• Prepare and maintain key QA documentation, including test plans, defect reports, and status reports.
• Collaborate closely with developers, project managers, and client stakeholders to ensure quality standards are met throughout the STLC.
• Apply strong analytical and problem-solving skills to debug issues and ensure a high-quality end product.

Minimum Required Skills

• Proven hands-on experience in Manual Software Testing for web applications.
• Strong knowledge of the Software Testing Life Cycle (STLC) and Software Development Life Cycle (SDLC).
• Expertise in creating detailed test cases, test scenarios, and managing test data.
• Proficiency in defect management and reporting using tools like JIRA.
• Experience in functional, regression, integration, smoke, and sanity testing methodologies.
• Excellent analytical, problem-solving, and debugging skills with a detail-oriented approach.
• Strong verbal and written communication skills for effective team collaboration.

Preferred Skills

• Basic knowledge of databases/SQL for backend data validation.
• Familiarity with API testing tools like Postman or Swagger.
• Exposure to performance and security testing concepts.
• Experience with test management tools such as TestRail or QTest.
• Basic understanding of automated testing frameworks (e.g., Selenium) and scripting languages (e.g., Java, Python).

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. 

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.