Lead Software Engineer

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

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. 

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.

Company description 

Worlder TEAM is a company under Worlder Group that aims to enable companies in the SME industry to bring their businesses to the global market. Worlder TEAM spearheads the development of efficient and effective IT solutions. 

Roles and responsibilities

Worlder TEAM’s current focus is on developing a suite of mobile and web apps with novel integrated solutions from our R&D team to help small businesses access global markets. As a small company with a focus on R&D at the moment, we are looking for a junior web and mobile QA engineer who can grow with the company. The engineer is expected to be working with other developers to ensure the quality of mobile and web apps. 

The responsibilities include 

1. Understand product requirements thoroughly to ensure comprehensive test coverage 
2. Help to continuously improve the existing QA framework
3. Prepare test data, test plan, and test cases to test the applications (mobile & web) based on the technical and business specifications
4. Perform QA tests (functional, non-functional, regression & end-to-end testing) on both the mobile and web applications
5. Document test results
6. Report and communicate issues to developers
7. Stay up-to-date with the latest testing technologies and methodologies 

Mandatory requirements: 

1. Strong technical background with 0-2 years of experience in performing QA for web and mobile applications.
2. Solid and in-depth knowledge of software testing methodologies, tools, and processes (Good understanding of SDLC, STLC, Bug Life Cycle, Black box, White-box testing, agile, and waterfall methodologies)
3. Familiarity with command line testing or tools (shell scripting) .
4. Experience in any object-oriented programming languages (Java, Golang) or any script languages (Python, Shell). 
5. Ability to understand application requirements comprehensively
6. Good bug reporting and issue documentation skills
7. Working knowledge of technology such as Android and iOS, and web browsers such as Chrome, Firefox, Safari, and others.
8. Knowledgeable in cross-platform compatibility testing
9. Teamwork and excellent communication and interpersonal skills
10. Positive attitude and willingness to learn on the job

Good to Have:

1. Familiarity with version control systems like git
2. Familiarity with AI tools
3. Familiarity with shell scripting and basic Javascript/Typescript programming
4. Familiarity with testing tools such as postman, selenium, playwright, etc
5. Familiarity with CI/CD tools like Jenkins, etc
6. Familiarity with API testing both manual and automated

It is a bonus if you have the following skills (you can pick them up on the job):

1. Server Language: Golang
2. Frontend Language: JavaScript & TypeScript
3. Frontend Frameworks: React Native & ReactJS
4. API testing: REST, graphQL, Protobuff, Contract testing
5. Infrastructure: AWS & Docker
6. CI/CD tool: Jenkins

Job Title: QA Automation Engineer – Playwright

Experience: 6+ Years

Location: Pune

Work Mode: 5 Days WFO

Notice Period: Immediate Joiners

Mandatory Skills:

• Strong experience in Java
• Hands-on experience with Selenium
• Strong knowledge of BDD & Cucumber
• Experience in API Testing
• Hands-on experience with Playwright
• API Testing using Playwright is mandatory

Roles & Responsibilities:

• Design, develop, and maintain automated test scripts using Java, Selenium and Playwright.
• Develop and execute BDD test scenarios using Cucumber.
• Perform API testing and automation using Playwright.
• Identify, document, and track defects throughout the testing lifecycle.
• Collaborate with development and QA teams to ensure application quality.
• Maintain and enhance automation frameworks and test suites.

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

Job Description:

Test Design & Execution

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

Automation Development

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

Defect Management

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

API & Backend Testing

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

Collaboration

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

CI/CD Integration

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

Required Skills & Experience

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

Desirable Skills

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

About the role

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

Responsibilities

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

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

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

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

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

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

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

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

Must have

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

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

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

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

Experience leading and coaching junior QA engineers.

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

Good to have

Selenium/Cypress to Playwright migration experience.

Performance, accessibility or visual testing exposure.

ISTQB or equivalent certification.

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

About the team

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

About the Role

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

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

What You’ll Do

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

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

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

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

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

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

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

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

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

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

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

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

Required Experience

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

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

●    Expertise in manual and automated testing.

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

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

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

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

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

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

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

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

Required Skills & Qualifications

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

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

The Mindset

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

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

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

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

About the Role

We are looking for an experienced Senior QA Engineer to join our engineering team in Hyderabad. This is primarily a Manual QA role for someone who takes strong ownership of product quality and system stability. The ideal candidate should be proactive in identifying issues before they impact users, maintaining strong regression coverage, monitoring production behaviour, and working closely with developers to continuously improve application reliability.

Experience with test automation is a strong advantage, but the primary focus of this role is hands-on manual testing and quality ownership.

Key Responsibilities

· Own end-to-end quality across new features, existing functionality, integrations, and production releases.

· Perform functional, regression, integration, API, exploratory, smoke, and end-to-end testing across web applications and backend services.

· Build and maintain comprehensive test cases, regression suites, checklists, and release validation processes.

· Proactively monitor applications and production behaviour, identify unusual patterns or failures, and investigate issues before they become customer-impacting problems.

· Work closely with developers and product teams to reproduce issues, identify root causes, validate fixes, and prevent regressions.

· Test APIs and third-party integrations using tools such as Postman and validate data directly using MySQL.

· Take ownership of release quality, production stability, defect prevention, and continuous improvement of QA processes.

· Contribute to automation testing where appropriate and help identify high-value areas for automation.

Required Skills & Experience

· 5+ years of professional QA/testing experience, with strong hands-on experience in manual testing.

· Strong experience with functional testing, regression testing, integration testing, exploratory testing, release testing, and defect management.

· Strong working knowledge of MySQL, including writing queries to validate data, investigate issues, and troubleshoot application behaviour.

· Experience testing REST APIs, third-party integrations, and backend services, preferably using Postman or similar tools.

· Good understanding of web applications, client-server architecture, APIs, databases, authentication, and common application workflows.

· Experience with production monitoring, log analysis, incident investigation, root-cause analysis, and post-release validation.

· Ability to create clear test scenarios, identify edge cases, reproduce complex issues, and communicate defects effectively.

· Strong ownership, problem-solving, attention to detail, and communication skills.

Automation – Good to Have

Experience with Playwright, Selenium, Cypress, or similar automation frameworks would be an advantage. The candidate should be able to identify scenarios that are suitable for automation, contribute to automated regression coverage, and work with developers to improve overall test efficiency.

What We Are Looking For

We are looking for someone who thinks beyond simply executing test cases. The successful candidate should take personal ownership of application quality and stability, proactively look for weaknesses in the system, question assumptions, identify risks, and continuously improve regression coverage.

They should be comfortable monitoring production behaviour, investigating problems independently, following issues through to resolution, and ensuring that fixes do not introduce new regressions. The candidate must be comfortable working with an international team and willing to work from our Hyderabad office during UK business hours.