Salesforce QA

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

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.

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

Designation: Test Lead

Location: Hyderabad_Skyview

Job Summary: We are seeking a highly skilled and motivated SDET with strong Java testing expertise and AI engineering exposure to join our dynamic team in Hyderabad. The ideal candidate will have a strong background in software testing with 5+ years of experience, with a focus on automation testing using Selenium and Java. As a Test Lead, you will be responsible for leading testing efforts, ensuring the quality of our software products, and mentoring junior team members. Your expertise in software development and testing methodologies will be crucial in driving our testing strategy and improving our processes.

Responsibilities:

• Lead the software testing efforts for various projects, ensuring high-quality deliverables.
• Design, develop, and execute automated test scripts using Selenium with Java.
• Collaborate with development teams to understand requirements and provide feedback on testability.
• Mentor and guide junior testers in best practices for software testing and automation.
• Develop and maintain test plans, test cases, and test data.
• Identify, document, and track defects using appropriate tools.
• Participate in code reviews and provide input on testing strategies.
• Continuously improve testing processes and methodologies to enhance efficiency.
• Report testing progress and results to stakeholders, ensuring transparency and accountability.
• Stay updated with the latest industry trends and technologies in software testing.

Mandatory Skills:

• Proficiency in Selenium with Java for automated testing.
• Strong understanding of software testing methodologies and best practices.
• Experience in developing and executing test plans and test cases.
• Familiarity with defect tracking tools and test management software.
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills.
• Experience using AI tools for development and testing automation.
• Exposure to AI testing frameworks is preferred.
• Experience in creating test data and performing end to end testing.

Preferred Skills:

• Experience with performance testing tools.
• Knowledge of continuous integration and continuous deployment (CI/CD) processes.
• Familiarity with Agile methodologies.
• Experience in API testing and tools like Postman or SoapUI.
• Understanding of database testing and SQL.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Relevant certifications in software testing (e.g., ISTQB) are a plus.
• Proven track record of leading testing efforts in a software development environment.
•  

SDET – Software Development Engineer in Test

Experience: 2–5 Years

Location: Bangalore / Gurugram

Employment Type: Full-Time

Mandatory Skills

• 2–5 years of relevant experience in SDET / QA Automation / Software Testing.
• Strong hands-on experience in:
• Functional Testing
• API Testing
• Performance Testing
• Good programming/coding skills with the ability to read, write, troubleshoot, and debug code.
• Experience with automation testing frameworks/tools such as Selenium, Playwright, Cypress, Appium, etc.
• Hands-on API testing experience using tools such as Postman, REST Assured, RestSharp, or similar.
• Practical experience with performance testing tools such as JMeter, LoadRunner, k6, Gatling, or equivalent.
• Good understanding of SDLC, STLC, defect lifecycle, and testing methodologies.
• Strong analytical and problem-solving skills.

Good to Have

• Experience with Java, Python, JavaScript/TypeScript, C#, or other programming languages.
• Experience with .NET / C#.
• SQL/database testing experience.
• CI/CD tools such as Jenkins, GitHub Actions, Azure DevOps, GitLab CI, etc.
• Experience with Docker/cloud environments.
• BDD frameworks such as Cucumber or SpecFlow.
• Experience working with Agile/Scrum teams.

If Interested, share CV : snigdhaattheratebeanhr.com

Navtech is a premier IT software and services provider. Our mission is to increase public cloud adoption and build cloud-first solutions that become trendsetting platforms of the future.

We have been recognized as the Best Cloud Service Provider by GoodFirms for delivering quality services and results. We strive to innovate and push technology and service boundaries to provide best-in-class technology solutions to our clients globally.

We are a fast-growing company serving clients across the United States, UK and Europe. You will work with a team of talented developers, quality engineers and product managers who are passionate about building impactful technology solutions.

About the role

You will lead testing for the C++ rules engine and the media workflows around it. The client tests end-to-end business flows (licensing, metadata, content delivery to partners) and uses Ginger for test automation. You will take over the test suites, run SIT and UAT cycles, and lead two automation engineers.

Key Responsibilities

• Lead knowledge transfer from the client's test team on test cases, data and environments.
• Plan and run system integration testing (SIT) and support user acceptance testing (UAT).
• Own the Ginger automation suite for the pod and grow its coverage.
• Lead and review the work of 2 QA automation engineers.
• Coordinate test plans for new partner integrations and feature releases.
• Report quality metrics and release readiness to the Delivery Manager and the client.

Who Are We Looking For?

• 8+ years in software testing, with 2+ years leading a QA team.
• Hands-on Ginger (byAmdocs) test automation, or deep experience in a comparable tool (Selenium, Katalon, UFT) and willingness to learn Ginger quickly.
• End-to-end testing of complex business workflows across several integrated systems.
• Strong SQL for test data setup and backend validation.
• SIT and UAT planning and execution.

Good to have

• Testing in media supply chain, rights management, telecom billing or similar transaction-heavy domains.
• API testing (Postman, RESTAssured).
• Test management tools (Jira/Xray, Zephyr, Azure Test Plans).

What we will assess

• Writing a test strategy for a multi-system business workflow.
• A Ginger or automation framework walkthrough from past work.

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

Job Role: Senior QA Engineer

Company: Appmaker by StarApps

Location: Kochi, Kerala (On-Site)

Experience: 3–5 Years

Employment Type: Full-time

About Appmaker by StarApps

At StarApps, we build tools like Appmaker that help thousands of global e-commerce merchants turn their web stores into native mobile apps.

About the Role

We're looking for an experienced QA Engineer to take overall ownership of our QA cycle. You'll do hands-on testing, build strong quality control so fewer issues reach QA in the first place, and

guide our current QA team. Your goal: catch issues early, reduce the number of QA cycles per release, and ship high-quality apps faster.

Key Responsibilities

• QA Ownership: Own the end-to-end QA cycle, from requirement review to final releasesign-off.
• Quality Control: Set up quality checks, entry/exit criteria and checklists that stop issues early and reduce repeat QA cycles.
• Team Guidance: Mentor and guide the current QA team, review their test cases and bug reports, and raise the team's testing standards.
• Test Planning: Create test plans and test cases from the requirements and designs shared, covering functional, regression and edge cases.
• Device & Design Parity Testing: Test on real Android and iOS devices, and run design parity checks against approved designs.
• Bug Management: Report, prioritise and track bugs, document regressed bugs, and verify fixes with the dev team.
• Process Improvement: Find the root causes of recurring bugs and improve QA processes, tools and documentation.
• Communication: Keep management updated on release quality, risks and issues found.
• AI-Assisted Testing: Use AI tools to generate test cases and speed up testing, while reviewing the output carefully.

What We're Looking For

• Experience: 3–5 years in software QA, with strong experience testing mobile apps.
• Ownership: Proven experience owning QA for releases and reducing QA cycles or bug
• leakage.
• Leadership: Experience guiding or mentoring junior QA engineers.
• Testing Expertise: Strong knowledge of test planning, functional, regression,
• smoke/sanity testing and the bug life cycle.
• QA Tools: Hands-on experience with QA tools like BrowserStack, Appium and bug
• trackers such as Jira, and the judgment to pick the right tool for the job.
• AI Tools: Experience or strong interest in using AI tools for testing.
• Attention to Detail: You notice when a price, image, spacing or button looks off.
• Communication: Clear written and spoken English for reports, updates and working with developers and management.

Bonus Points

• Experience testing Shopify or e-commerce apps.
• Experience with test automation (Appium, Playwright or similar) or API testing (e.g.
• Postman).
• Experience setting up QA processes from scratch in a fast-moving team.

Why Join Us?

• Real Impact: Own the quality of apps used by thousands of global brands and millions of shoppers.
• Leadership: Shape how QA works at Appmaker and grow the QA team.
• Modern QA: Work with AI-driven testing tools and a modern workflow.
• Growth & Culture: High ownership and a supportive team in our Kochi office.

About the team

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

About the Role

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

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

What You’ll Do

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

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

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

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

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

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

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

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

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

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

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

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

Required Experience

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

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

●    Expertise in manual and automated testing.

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

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

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

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

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

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

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

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

Required Skills & Qualifications

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

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

The Mindset

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

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

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

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

Total exp: 5-8 Years

Client: MRI Software

Location: Vadodara

Budget: Look for decent with experience

Mode interview: 1 Virtual

Mode of Work: Hybrid

QA Engineer:

Job Summary/Objective 

Quality Assurance Engineers at MRI collaborate closely with Product Management and Product Development teams to deliver high-quality, high-performance products for our clients. In this role, QA Engineers are responsible for creating and contributing to the documentation of user stories and acceptance criteria, working alongside product owners and development teams. They define manual and automation testing strategies, tools, scenarios, and plans for both web and mobile products, ensuring comprehensive functional and performance testing. 

 QA Engineers will execute static, dynamic, and performance testing while providing detailed reporting and feedback throughout the development lifecycle. They are expected to demonstrate strong technical skills, including expertise in back-end development, database queries, and keen attention to detail. Effective written, verbal, and organizational communication is essential. 

 In addition, QA Engineers will leverage AI to optimize and automate repetitive tasks, thereby enhancing the overall efficiency and effectiveness of QA processes, ensuring a faster, more accurate testing cycle.

Tools and technology:

1.     Tools: Jira, Xray, TFVC, Git

2.     API: REST, SOAP, SoapUI, Postman

3.     Automation: C#, JavaScript, TypeScript, Ruby, Playwright, SpecFlow

4.     Database: SQL