4270 Layers Jobs - Page 10

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Machine Learning Engineer (T25), Product Knowledge Do you love Big Data? Deploying Machine Learning models? Challenging optimization problems? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce! Who Are We? The Product Knowledge team is at the epicenter of eBay’s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay’s Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow! What Will You Do We Are Looking For Exceptional Engineers, Who Take Pride In Creating Simple Solutions To Apparently-complex Problems. Our Engineering Tasks Typically Involve At Least One Of The Following Building a pipeline that processes up to billions of items, frequently employing ML models on these datasets Creating services that provide Search or other Information Retrieval capabilities at low latency on datasets of hundreds of millions of items Crafting sound API design and driving integration between our Data layers and Customer-facing applications and components Designing and running A/B tests in Production experiences in order to vet and measure the impact of any new or improved functionality If you love a good challenge, and are good at handling complexity - we’d love to hear from you! eBay is an amazing company to work for. Being on the team, you can expect to benefit from: A competitive salary - including stock grants and a yearly bonus A healthy work culture that promotes business impact and at the same time highly values your personal well-being Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent Job Responsibilities Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure Optimize software performance to achieve the required throughput and / or latency Work with your manager, peers, and Product Managers to scope projects and features Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution Take active part in knowledge sharing across the organization - both teaching and learning from others Minimum Qualifications Passion and commitment for technical excellence B.Sc. or M.Sc. in Computer Science or an equivalent professional experience 2+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines A solid foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design, and core Statistics knowledge Experience in production-grade coding in Java, and Python/Scala Experience in the close examination of data and computation of statistics Experience in using and operating Big Data processing pipelines, such as: Hadoop and Spark Good verbal and written communication and collaboration skills Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2285-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Experience validating AI-generated output (e.g., logic consistency), sentiment, tone, API Testing, CI/CD, Cypress, Manual Testing, Playwright, Selenium, Automation Testing LL is Looking for: Role: Automation QA Engineer Overview The Client is supporting the build of a greenfield AI-powered SaaS product, focused on extracting actionable insights from customer conversation data. The platform is moving into active MVP development and requires a hands-on AQA Engineer to lead and embed quality practices from day one. This is a foundational role for someone who can own both automation and manual QA coverage across frontend, backend, and AI-driven outputs. You’ll work closely with product and engineering to help ensure a smooth, testable, and high-quality MVP delivery. Engagement Details Start Date: Immediate Initial Term: 16.5 weeks (strong possibility of extension) Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: Farshore candidates welcome; must be available for overlap with UK hours (10:00–15:00 GMT/BST minimum) About The Project This AI-native platform enables marketing teams to analyse customer conversations and derive insights for campaigns and content generation. The product is early-stage with a clearly defined MVP scope and a lean delivery team. You’ll be the first QA engineer on the team, setting up test automation, defining test strategy, and ensuring manual coverage of AI-influenced workflows. This is a hands-on role that combines ownership, execution, and influence over tooling and process decisions. Must-Have Experience & Skills Technical/Product 3+ years experience with automated testing frameworks (e.g. Cypress, Playwright, Selenium) Strong manual testing experience — regression, exploratory, acceptance testing API testing via Postman or equivalent tools Comfortable writing test strategies, coverage plans, and prioritising based on risk Integration of tests into CI/CD pipelines (GitHub Actions or equivalent) Familiar with test case tracking and bug triage in tools like Jira Bonus : Experience validating AI-generated output (e.g., tone, sentiment, logic consistency) Business & Delivery Experience in cross-functional teams using Agile methodologies Strong SaaS And Startup/scale-up Experience Preferred Familiarity with AI/ML-driven or dynamic content platforms is a plus Soft Skills Clear and proactive communicator — flags risks, asks clarifying questions early High attention to detail — essential when testing AI-influenced UIs Ownership mindset — solo QA setup at MVP stage Pragmatic — able to balance thorough testing with tight MVP deadlines Calm under pressure — handles iterative delivery and shifting priorities with poise Strong documentation habits — ensures test cases and processes are reusable and visible Responsibilities Build automated test cases across UI, API, and integration layers Maintain and run smoke/regression test suites in CI/CD pipelines Define and execute manual QA test plans where automation is not viable Own QA documentation — test plans, bug triage process, test case libraries Collaborate with engineers on testability and mocking strategies Validate AI outputs for consistency, tone, traceability, and usability Track QA metrics such as coverage, bug recurrence, and test run history Advocate for a quality-first culture across the engineering and product teams Success Criteria Robust automated test coverage for core MVP workflows Manual QA is in place for areas with AI variability or limited automation potential Test process is documented, repeatable, and integrated into delivery flow Product is delivered with minimal regressions and fast feedback loops QA is an embedded part of grooming, planning, and retros Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Cypress/Playwright/Postman Ceremonies: Daily standups (15 mins) Weekly backlog grooming (1 hr) Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process 2. 3. 4. CV & GitHub/Portfolio Review – Experience with QA ownership and automation QA Screening (20 mins) – Focus on tooling, coverage planning, and communication Live Task (1 hr) – Define test approach and write sample test cases for an MVP feature Final Interview – Cultural and delivery mindset alignment How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Role: Founding People Partner & Talent Architect Location: Gurugram (Hybrid) Experience: 3-7 Yrs About Company This fast-growing, AI-led venture is transforming how modern teams operate by developing intelligent productivity and collaboration solutions—particularly for fast-paced, go-to-market environments. With strong early traction and growing revenues, the company has attracted investments across angel, seed, and most recently, Seed Plus funding rounds from globally renowned investors who share its bold vision. Its mission is rooted in applying Nudge Theory —a behavioral economics concept—to drive smarter sales behavior. By surfacing timely, actionable insights from sales playbooks and customer data, the platform enables better decision-making, sharper prioritization, and more personalized outreach. This leads to improved performance and stronger customer engagement. Currently in its growth phase, the company is assembling a high-performance team to scale its impact further. Position Overview We’re hiring a People & Culture Lead to join the founding team of a fast-growing, AI-native startup. This is a high-impact, high-ownership role designed for someone who’s ready to go beyond traditional HR and help build the People function as a strategic growth engine. You’ll partner directly with the founders to design and implement end-to-end people systems—owning everything from hiring and onboarding to performance management, career paths, and culture-building. As we scale from a 25-member team to 50+ and beyond, you’ll lay the foundation for scalable people operations while maintaining the speed, clarity, and trust that early-stage teams thrive on. This isn’t a legacy HR setup—there are no outdated processes to maintain. You’ll have a blank canvas to architect the kind of culture and systems you believe enable high-performing, mission-driven teams. If you're someone who blends empathy with execution, has a builder’s mindset, and thrives in high-trust environments where people actually care about people—you’ll feel right at home here. Key Responsibilities End-to-end hiring : Close top talent (ICs and managers) within 30 days; build strong pipelines proactively. Onboarding with intent : Design milestone-based onboarding (1 week, 1 month, 3 months) with feedback at every stage. Early performance clarity : Identify mismatches within 1–3 months and take timely action. Career frameworks : Create and track clear growth ladders; mentor managers to support them. Culture-first org building : Foster a collaborative, transparent, and fast-moving culture. People operations : Drive offers, payroll, HRMS (Zoho), policies, compliance, and smooth processes. Strategic people planning : Partner on org design, ESOP benchmarks, global hiring strategy, and long-term scaling. Required Skills Bring 3–7 years of experience in People Ops, HR, or generalist roles—especially in high-growth startups . Strong sense of influencing culture and values at the foundational stage. Have a builder mindset —you don’t just run processes; you design them to scale. Balance empathy and execution —you care deeply about people, but don’t shy away from tough decisions. Not just an executor of legacy HR policies, but someone who creates scalable, first-principle solutions. You are highly structured , detail-oriented , and process-driven . Communicate clearly, coach managers, and run high-clarity meetings. Bonus if you’ve used OKR frameworks , Zoho Books , or HR/payroll tools . Most importantly, you’re excited to build a high-trust , high-velocity team from the ground up . A self-starter who operates with ownership and doesn’t need micro-management or layers of approval. Comfortable using AI tools and crafting prompts to automate repetitive tasks, gather insights, or experiment with tools like ChatGPT, Claude, Notion AI, etc. Why Join Us? Early-stage leadership : You’ll own the People function at a critical stage—no legacy baggage, just a clear path to design and scale systems that work. Seat at the Table: Work directly with founders who value People Ops as a strategic lever, not paperwork. You’ll influence real decisions, not just execution. High-Trust, High-Velocity Culture: Join a team that moves fast without ego—where ownership, speed, and candour are core to how we operate. Career Growth: As we scale rapidly, you’ll have the opportunity to grow into a leadership role and build out your team and vision. What We Offer: ₹15–20L base, with growth and leadership tracks ahead. Hybrid in Gurugram: 2–3 days/week in office for deep real‑time collaboration. Direct mentorship from a founder with a $100M exit and coaching experience.

We're Hiring: Engineer Manager – Full Stack (Remote) We're looking for a seasoned Engineer Manager who can architect, code, and lead end-to-end product delivery. This role is ideal for someone with 8+ years of hands-on experience, who has led engineering teams of 10–12 people, and is equally comfortable diving deep into backend systems as well as frontend interfaces. If you've built scalable SaaS platforms, worked across both backend and frontend layers, and thrive in fast-paced, product-led environments — we’d love to connect. What you'll do: Own full stack technical architecture, across backend and frontend systems Design and integrate complex transactional workflows (user management, billing, analytics, etc.) Lead a team of 10–12 engineers (backend + frontend) Guide technical decisions and uphold code quality across the stack Collaborate with product managers to solve real-world SaaS problems Step into infrastructure and DevOps when needed (CI/CD, Docker, cloud setup) What we're looking for: 8+ years of full stack development experience , ideally in SaaS or product-led companies Strong Java expertise on the backend Experience with JavaScript/TypeScript, and modern frontend frameworks like React or Angular Solid understanding of system design, API architecture, and database technologies (SQL/NoSQL) Proven experience as a Tech Lead or Architect managing 10+ engineers Familiarity with SaaS workflows like subscriptions, multi-tenancy, usage tracking, etc. Hands-on with cloud platforms (AWS/GCP), CI/CD, Docker, Kubernetes, and infrastructure tools like Terraform Strong code quality mindset and team mentorship experience Why Join us: Competitive compensation and benefits Remote-first culture with flexible work hours Opportunity to lead and shape high-impact SaaS products Work with experienced product and engineering leaders A culture that values ownership, speed, and continuous learning

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Platform Engineering (Java, Springboot) Overview At Mastercard, we are dedicated to delivering unparalleled customer experiences by pushing the boundaries of innovation. Our Network team is seeking a Senior Software Engineer to propel our customer experience strategy forward through unwavering innovation and adept problem-solving. The quintessential candidate is focused on the customer experience journey, exuding high motivation, an insatiable intellectual curiosity, exceptional analytical acumen, and a robust entrepreneurial mindset. About The Role Design and Develop software around internet traffic engineering technologies including but not limited to public and private CDNs, load balancing, DNS, DHCP and IPAM solutions. Enthusiastic for building new platform technologies from ground up contributing to our high impact environment. Develop and Maintain Public and Private REST APIs, keeping high code and quality standards. Provide timely and competent support for the technologies the team owns and builds. Bridge automation gaps by writing and maintaining scripts that enhance automation and improve the overall quality of our services. Demonstrate drive and curiosity by continuously learning and teaching yourself new skills. Collaborate effectively with cross-functional teams, demonstrating your technical prowess and contributing to the overall success of the projects. All About You To excel in this role, you should have: Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience. Strong fundamentals in internet and intranet traffic engineering, OSI Layers & Protocols, DNS, DHCP, IP address management and TCP/HTTP processing. Practical understanding of data structures, algorithms, and database fundamentals. Proficient in Java, Python, SQL, NoSQL, Kubernetes, PCF, Jenkins, Chef and related platforms. Knowledgeable in cloud-native and multi-tiered applications development. Experience with programming around Network services, Domain Nameservers, DHCP and IPAM solutions. Understands the fundamental principles behind CI/CD pipelines, DevSecOps, GitOps, and related best practices. Ability to write and maintain scripts for automation, showcasing your commitment to efficiency and innovation. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

About the Organization We are one of India’s most trusted AMISPs (Advanced Metering Infrastructure Service Providers), with monthly production exceeding 5 Lakh smart meters. Backed by strong captive teams in Design, Development, Validation, Embedded Software, Application Engineering, and Managed Software Services, our platform is built for scale, reliability, and innovation. With a turnover of ₹600 Cr and a rapidly growing footprint, we are actively expanding into Smart Water and Gas Metering solutions. The position is based in Kolkata or Delhi. Position Overview We are looking for an experienced and technically grounded **Lead Solution Architect – AMI Platforms & Systems Integration** with a proven track record in end-to-end AMISP engagements. The ideal candidate would bring in 5–7 years of deep experience in smart metering infrastructure, having worked in Tier I organizations involved in full-cycle AMI delivery. The role requires both strategic oversight and tactical execution in designing, validating, and delivering interoperable, scalable, and standards-compliant solutions across metering ecosystems. Suggested Designation Lead Solution Architect – AMI Platforms & Systems Integration Key Responsibilities · Architect end-to-end AMI systems including smart meters, HES, MDMS, integration layers, and customer IT interfacing. · Validate solution components across multiple use cases – prepaid, postpaid, net metering, DT metering, integration etc. · Lead the design, configuration, and optimization of secure, scalable integrations between field devices and backend systems. · Work cross-functionally with Software, Validation, Cloud, and Managed Services teams to ensure seamless orchestration and control flows. · Own the gap sensing and solution blueprinting process for field interoperability, scalability, and SLA-driven platforms. · Perform continual solution Gap-Analysis and orchestrate & work towards achieving alignment with the customers’ specified needs & expectations. · Participate in customer requirement studies, BoQ formulation, pre-sales solutioning, and bid responses with technical clarity. · Ensure regulatory and DISCOM-specific compliance across architecture, interfaces, and data models. · Represent the company in technical governance forums and external technical committees as needed. Required Skills & Experience · 5–7 years of experience strictly in Smart Metering (AMI) domain in Tier I AMISP or OEM environment. · Strong understanding of AMI architecture including HES, MDMS, network topology, DLMS/COSEM standards. · Hands-on experience integrating multi-vendor meters with standard protocols and enterprise IT systems. · Fluency in industry best practices and evolving standards in the smart utility space. · Experience working across RF Mesh, NB-IoT, and cellular smart metering technologies. · Knowledge of cybersecurity, data privacy, and ISO standards applicable to energy metering systems. · Ability to bridge field, firmware, and cloud expectations while influencing product and platform decisions. · Excellent communication and technical documentation skills. Preferred Background · Worked with one or more reputed Tier I AMISP/OEMs delivering large-scale smart metering solutions. · B.E./B.Tech/M.Tech in Electrical, Electronics, Instrumentation, or Computer Engineering from a reputed institution. · Demonstrates ethical conduct, field pragmatism, and systems-level ownership mindset. · Experience working with state DISCOMs or central utilities in solutioning and commissioning is highly valued. · Comfortable with multi-stakeholder coordination involving customer IT teams, system integrators, and device vendors. Authority & Strategic Impact · Own solution design integrity and scalability for all AMISP projects. · Make authoritative decisions on architectural choices across hardware, firmware, platform, and integration layers. · Lead solution walkthroughs, PoCs, and technical validation meetings with customers. · Advise pre-sales and bid teams with technical strategy, estimations, and risk mapping. · Guide internal teams in field validation, test strategy, rollout planning, and exception handling in deployments.

We are seeking a talented and experienced Node.js Backend Developer to join our engineering team. As a key member of our team, you will be responsible for designing, developing, and maintaining robust and scalable backend systems. You will work closely with frontend developers, data engineers, and other team members to deliver high-quality solutions. Responsibilities: Design, develop, and maintain backend services using Node.js and TypeScript. Build RESTful APIs and GraphQL APIs to expose data and functionality to frontend applications. Implement robust data access and persistence layers using PostgreSQL or other relational databases. Develop and maintain microservices architecture, ensuring efficient communication and data flow between services. Write clean, well-structured, and maintainable code. Collaborate with frontend developers to define and implement APIs and data formats. Optimize application performance, scalability, and security. Troubleshoot and resolve backend issues. Stay up-to-date with the latest Node.js and backend technologies. Required Skills and Experience: (0.5-3) years of experience in backend development using Node.js and TypeScript Strong proficiency in JavaScript and Node.js fundamentals Experience with frameworks like NestJS or Express.js Experience with relational databases like PostgreSQL Understanding of microservices architecture and design patterns Knowledge of RESTful API design and implementation Experience with asynchronous programming and event-driven architectures Strong problem-solving and debugging skills Excellent communication and teamwork abilities Preferred Skills: Experience with GraphQL API development Knowledge of NoSQL databases like MongoDB or Redis Experience with cloud platforms like AWS, GCP, or Azure Understanding of containerization technologies like Docker and Kubernetes Experience with testing frameworks like Jest or Mocha If you are a passionate and skilled Node.js backend developer who is eager to contribute to innovative projects, we encourage you to apply.

Key Responsibilities: Track Alignment & Road Design: Design and optimize horizontal and vertical alignments for railway tracks and highways in accordance with national and international standards. Perform geometric design of roads and tracks using tools such as AutoCad, Civil 3D, OpenRail, OpenRoads, or similar. Conduct route selection and feasibility studies considering terrain, environmental impact, and cost-effectiveness. Coordinate with structural, drainage, and utilities teams to ensure design integration. Prepare design reports, drawings, and technical documentation. GIS & Spatial Analysis: Manage and analyze spatial data using GIS software such as ArcGIS, QGIS, or similar. Create and maintain project-specific GIS databases for alignment studies, land acquisition, and environmental assessment. Generate maps, thematic layers, and spatial visualizations for stakeholder presentations and technical reports. Integrate GIS with BIM, LiDAR, and survey data to support design accuracy. Technical Skills: Proficiency in design software: AutoCAD Civil 3D, Bentley, MonoRail, OpenRail/OpenRoads, MX Road, or equivalent. Strong GIS knowledge: ArcGIS, QGIS, and spatial data management. Familiarity with global and regional railway/highway standards (e.g., IRWM, AREMA, AASHTO, IRC, Eurocode). Understanding of topographic surveys, digital terrain modeling, and geospatial data integration.

We are now looking for a Senior Systems Software Engineer. NVIDIA’s invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are looking to grow our company , and grow our teams with the smartest people in the world Systems Software supports NVIDIA's new high performance chipset business. They are generalists, with a deep understanding of the today's PC architecture, including bus protocols such as PCI, AGP, USB and 1394, and CPU booting, arbitration, and cache management protocols. System engineers program down to the metal and are comfortable around hardware specs. They write software for Networking, Audio, IDE, SMBus and other hardware, and implement support for modern PC standards. What You’ll Be Doing Developing and validating software for our next generation display used in mobile and desktop GPUs Solve and debug problems related to display in order to support our customers, partners and users. Drive bring-up, tuning, and optimization of DP/eDP PHY and protocol layers. Work with cross-functional teams to enable DisplayPort/eDP/HDMI-based designs for platforms like laptops, tablets, and embedded systems. Debug and root-cause interoperability issues with external monitors/panels and docking stations. Support compliance testing (e.g., VESA CTS). What We Need To See Master’s or bachelor's degree in computer science, Electrical Engineering or Equivalent with 8+ years of experience Strong C programming skills with assembly experience, as well as having shown initiative in pursuing independent coding projects Solid engineering background and understanding of good code methodology Good foundation and understanding of OS concepts. Strong hands-on experience with DisplayPort 1.2/1.4/2.0 and eDP 1.3+ protocols. Ways To Stand Out From The Crowd Strong interest in display technologies. Good understanding of AUX channel , Main Link Training , Lane configuration , Voltage Swing/Pre-emphasis , and Panel Power Sequencing . Familiarity with DP Alt Mode over USB-C , USB4 tunneling is a plus. Exposure to VESA specifications , link training mechanisms, LTTPR, MST, DSC Ability to interpret schematics and work with layout teams on board-level DP/eDP design. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you! JR2000947

We are now looking for a Senior Systems Software Engineer. NVIDIA’s invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are looking to grow our company , and grow our teams with the smartest people in the world Systems Software supports NVIDIA's new high performance chipset business. They are generalists, with a deep understanding of the today's PC architecture, including bus protocols such as PCI, AGP, USB and 1394, and CPU booting, arbitration, and cache management protocols. System engineers program down to the metal and are comfortable around hardware specs. They write software for Networking, Audio, IDE, SMBus and other hardware, and implement support for modern PC standards. What You’ll Be Doing Developing and validating software for our next generation display used in mobile and desktop GPUs Solve and debug problems related to display in order to support our customers, partners and users. Drive bring-up, tuning, and optimization of DP/eDP PHY and protocol layers. Work with cross-functional teams to enable DisplayPort/eDP/HDMI-based designs for platforms like laptops, tablets, and embedded systems. Debug and root-cause interoperability issues with external monitors/panels and docking stations. Support compliance testing (e.g., VESA CTS). What We Need To See Master’s or bachelor's degree in computer science, Electrical Engineering or Equivalent with 8+ years of experience Strong C programming skills with assembly experience, as well as having shown initiative in pursuing independent coding projects Solid engineering background and understanding of good code methodology Good foundation and understanding of OS concepts. Strong hands-on experience with DisplayPort 1.2/1.4/2.0 and eDP 1.3+ protocols. Ways To Stand Out From The Crowd Strong interest in display technologies. Good understanding of AUX channel , Main Link Training , Lane configuration , Voltage Swing/Pre-emphasis , and Panel Power Sequencing . Familiarity with DP Alt Mode over USB-C , USB4 tunneling is a plus. Exposure to VESA specifications , link training mechanisms, LTTPR, MST, DSC Ability to interpret schematics and work with layout teams on board-level DP/eDP design. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you! JR2000947

Greetings from IPH, IPH Technologies have been at the forefront of innovation in the IT sector for over 11 years. Our commitment to delivering cutting-edge software solutions has earned us a reputation for quality, reliability, and client satisfaction. We take great pride in our ability to identify and nurture promising talent. Job Description: We are seeking a talented iOS Developer to join our dynamic team. The ideal candidate will be responsible for the development and maintenance of applications aimed at a range of iOS devices including mobile phones and tablet computers.You will be working alongside other engineers and developers working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and the creation of quality products is essential. Required_Experience: 2-4 years with Swift, Swiftui, Objective-c Required Skills: · Expert in the above technologies. · Strong ability to quickly learn new technologies, APIs, and work on them under tight deadlines. · Ability to thrive in a fast-paced environment. · Solid ability in both written and verbal communication. · Knowledge of programming language and technical terminology. Salary: Up to 6 LPA or Hike on current CTC depends on profile and interview, No bar for deserving applicants. Location: Lucknow If interested, can share the cv at hr@iphtechnologies.com and apply at the earliest. Please share and like this post to approaching the needy applicants.