QA Automation Engineer

Senior Automation Testing Engineer

Location: Bengaluru / Gurugram – Onsite

Experience: 5–11 Years

Employment Type: Full-Time

Key Responsibilities

• Develop and maintain automation test frameworks and scripts.
• Perform both manual and automation testing, including exploratory, functional, regression, and bug verification.
• Develop test cases and contribute to test planning, estimation, and Agile ceremonies.
• Perform non-functional testing for accuracy, reliability, and performance.
• Drive QA process and automation improvements.

Required Skills

• BE/B.Tech/ME/M.Tech in CS/ECE/EE or related field.
• 5–11 years of software testing experience.
• Strong hands-on experience with Python/Java, Selenium, Cucumber, and PyTest.
• Good knowledge of SDLC, testing methodologies, defect lifecycle, and risk assessment.
• Experience with version control and bug-tracking tools.

Good to Have: Linux, Qt/QML, Squish, ISTQB/CSM/PSM, and regulatory/compliance standards.

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

We are seeking a skilled Automation Test Engineer with strong hands-on experience in Python-based automation frameworks. The ideal candidate should have solid experience in designing, developing, and maintaining automation test suites for web and API applications, ensuring high product quality and test coverage.

Key Responsibilities

Design, develop, and maintain automation test scripts using Python.

Develop and execute test cases for functional, regression, API, and integration testing.

Build and enhance test automation frameworks (Selenium / PyTest / Robot Framework etc.).

Perform API testing using tools like Postman, RestAssured, or Python requests library.

Collaborate closely with developers, BAs, and DevOps teams to ensure continuous integration and quality delivery.

Analyze test results, log defects, and track them to closure.

Participate in sprint planning, daily standups, and release execution.

Contribute to improving QA processes, tools, and standards.

Required Skills & Experience

3–4 years of experience in Automation Testing.

Strong programming skills in Python.

Hands-on experience with Selenium WebDriver.

Experience with automation frameworks like PyTest / Robot Framework / Behave.

Good understanding of API testing and automation (REST/JSON).

Experience working with CI/CD pipelines (GitLab CI, Jenkins, Azure DevOps, etc.).

Knowledge of version control (Git).

Familiarity with Agile development methodologies.

Strong debugging, analytical, and communication skills.

Nice to Have

Experience with performance testing tools (e.g., JMeter, Locust).

Working knowledge of Docker or cloud platforms (AWS/Azure/GCP).

Exposure to Mobile Application automation (Appium).

ISTQB Certification or equivalent is a plus.

Education

Bachelor’s degree in Computer Science, Engineering, or equivalent related field.

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.

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.

Immediate Hiring | QA Automation Engineer

📍 Location: Bangalore

💼Experience: 5 Years

We are looking for a strong QA Automation Engineer with hands-on experience in Groovy, Java and JMeter, along with a solid understanding of automation framework design, API testing and cloud-based applications.

Key Skills Required

• QA Automation & Framework Design

• Groovy + Java for automation testing

• JMeter – Performance Testing

• Go / Golang, Ginkgo – preferred

• API Integration Testing

• AWS – practical experience

• CI/CD amp; Test Automation Pipelines

• Debugging, failure investigation, flaky test analysis

• Strong aptitude, reasoning and problem-solving skills

What We’re Looking For

✔ Ability to design and maintain reusable automation frameworks

✔ Strong understanding of API, integration and end-to-end testing

✔ Experience designing performance workloads and analyzing JMeter results

✔ Ability to troubleshoot using AWS logs and monitoring

✔ Good understanding of test reliability and CI/CD environments

✔ Someone who can independently identify edge cases and investigate failures

Job Title: Test Automation Engineer

Experience Required: 2+ Yrs. of very recent experience

Work Location: Gurugram, Haryana (Regular Work from Office)

Work Timings: 04:30 PM 01:30 AM IST (Monday Friday)

Employer Company: Alldomainsoft.com Pvt. Ltd. (alldomainsoft.com)

US Client: Avive Solutions, Inc. (avive.life)

Note: Local candidates preferred. Unsuitable for Java based profiles.

About the Role

As a Test Automation Engineer at Avive, you will play a critical role in ensuring the quality and reliability of our software products. You will build and maintain automated test coverage using Python, Pytest, and BDD frameworks alongside Selenium, focused on validating web application behavior, data accuracy, user permissions, and simulated device communication protocols. Partnering closely with Software Engineering, you will help shape test strategy and expand coverage as new features and functionality are shipped.

What You'll Do including but not limited to:

1. Test Automation Development Design, build, and maintain automated test suites using Python, pytest, and BDD frameworks to validate web application functionality.

• Develop and maintain Selenium-based automation to verify data is displayed accurately across the website.
• Create automation that simulates device communication protocols to validate that data generated by connected devices is correctly received, processed, and reflected on the website.

2. Software Verification

• Expand and maintain automated regression suites that catch defects early and give the team confidence as new features are released.
• Identify gaps in existing test coverage and prioritize new automation based on risk and impact.
• Investigate test failures, determine root cause, and work with Software Engineering to resolve issues.

3. Process & Tooling

• Document, organize, and maintain test cases in Jira using Xray, ensuring traceability between requirements, test coverage, and results.
• Report, track, and prioritize bugs in Jira, working with Software Engineering through resolution.
• Evaluate and integrate new tools, libraries, or frameworks that improve test efficiency, coverage, or maintainability.
• Contribute to CI/CD pipeline integration for automated test execution.
• Continuously refine test strategy and best practices as the product and codebase evolve.

Who You Are

• BS/B.Tech./B.E. in Computer Science, Software Engineering, or a related field (equivalent experience considered).
• 2+ years of experience in software test automation.
• Strong proficiency in Python, with hands-on experience using pytest and BDD frameworks (e.g., pytest-bdd, Behave, or Cucumber)
• Solid experience building and maintaining automated UI tests with Selenium.
• Experience testing web applications, including validating data accuracy, user permissions/access control, and integrations with external or simulated data sources.
• Familiarity with Jira and Xray (or similar tools) for bug tracking and test case management.
• Comfortable working with APIs and simulating device or system communication protocols for test purposes.
• Exposure to CI/CD pipelines and integrating automated tests into a continuous delivery workflow is a plus.
• Strong analytical and debugging skills, with the ability to trace issues from symptom to root cause.
• Organized, independent, and results-oriented, with the ability to manage multiple test efforts simultaneously.
• Excellent communication skills and strong attention to detail, with a collaborative, process-oriented approach to working with Software Engineering.

LinkedIn: www.linkedin.com/in/rkd94

Apply Link: https://jobs.lever.co/AviveSolutions/c20d1002-7998-4e8b-9209-0a4c590d0c7c

Role Summary

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

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

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

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

frameworks to improve testing efficiency and release confidence.

Job Responsibilities

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

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

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

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

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

• Conduct exploratory testing for edge cases.

• Ensure accuracy of financial and legal data flows.

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

• Build scalable automation frameworks.

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

• Integrate automation with CI/CD pipelines.

• Validate REST / GraphQL APIs.

• Perform data validation between database and API responses.

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

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

• Ensure correct escalation and notification flows.

• Conduct basic performance testing, including API response times.

• Identify bottlenecks in workflows and support load testing efforts.

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

• Collaborate with developers for quick resolution.

• Prioritise based on business impact.

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

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

• Use Gen AI as a force multiplier.

Qualifications

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

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

• Experience in enterprise applications / ERP / SaaS platforms.

• Strong experience in workflow-based systems.

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

What you'll own

The quality charter. Define and evolve the testing strategy — web application, dashboards, APIs, webhooks, and customer integrations. Establish release criteria, coverage expectations, and quality gates that engineers actually respect because they're fast and they catch real bugs. Automation at scale. Build and maintain end-to-end and API automation suites that run on every PR and give a trustworthy signal. Own the flake rate. Design for parallel execution, deterministic test data, and fast feedback — a suite nobody trusts is worse than no suite. Performance and reliability. Design and run load, stress, and soak tests against APIs and the platform. Profile results, isolate bottlenecks with the engineers who own the service, and set up the monitoring that tells us about degradation before a customer does. Leverage through tooling, including AI. Use whatever gets coverage up and cycle time down: LLM-assisted test case generation from specs, AI-assisted authoring and maintenance of automation, synthetic test data generation, log and failure triage. We expect you to be opinionated about where these tools genuinely help and where they produce impressive-looking noise. Raising the bar. Partner with product and engineering from spec through release so quality risk is surfaced during design, not after code freeze. Mentor the QA team and build the practices — bug triage discipline, root cause analysis, prevention over detection — that outlast any single release.

What we're looking for

Must have

3–6 years in QA roles, with meaningful ownership of automation frameworks rather than only executing existing suites.

Strong test automation skills with a modern framework — Playwright, Cypress, or Selenium — and solid coding ability in Python, JavaScript/TypeScript, or Java. You should be comfortable reading application code, not just testing around it.

API testing experience: REST, auth, webhooks and asynchronous event flows, contract testing, and tooling such as Postman, REST Assured, or Pact.

Hands-on CI/CD integration — GitHub Actions, GitLab CI, Jenkins, or equivalent — including making suites fast and reliable enough to gate merges.

Working knowledge of SQL for validating data correctness, and comfort with logs, traces, and observability tooling for debugging.

Rigorous, systematic thinking about edge cases and failure modes, and the communication skills to make quality risk legible to product and leadership.

Nice to have

Experience testing AI, ML, or LLM-based products, and comfort with the reality that outputs are probabilistic rather than deterministic. Familiarity with Docker, Kubernetes, or cloud infrastructure for standing up test environments.

Performance and load testing with k6, JMeter, Gatling, or Locust, plus the analytical ability to turn results into a specific, actionable bottleneck. Exposure to enterprise SaaS with real integration surface area, or to security and compliance testing expectations of enterprise buyers. - Experience as the first or most senior quality voice on a team.

What we offer

Competitive compensation with equity. Direct ownership of a charter that materially affects how enterprise customers experience our product.

Proximity to frontier AI systems in production, and the freedom to use modern tooling to do your job well.

A fast-moving team where the distance between an idea and a shipped change is short.

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

2

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

3

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

4

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

5

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

6

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

7

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

8

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

9

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

10

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

11

Mandatory (Company): Must come from a B2B SaaS