9 Qa Frameworks Jobs

Join the Corporate AI Incubator team within Corporate Banking as a Gen AI QA Engineering Lead at Barclays. This role is pivotal in ensuring the quality, reliability, and compliance of cutting-edge generative AI solutions, including LLMs and retrieval-augmented generation (RAG) pipelines. You will lead QA efforts across multiple AI PODs, collaborating with data scientists, ML engineers, Data engineers and governance teams to build robust testing frameworks and automation pipelines that validate model performance, safety, and enterprise readiness. **Key Responsibilities:** - Designing and implementing QA frameworks for GenAI models, including prompt validation, output consistency, hallucinatio...

We are looking for a seasoned professional with 7+ years of experience in pricing operations, data engineering, or analytics to lead global pricing operations and analytics initiatives. The ideal candidate will act as a hands-on Data and QA Engineering lead, ensuring the accuracy and quality of pricing data, trends, and models. Responsibilities include building QA workflows, leading distributed teams, mentoring analysts, and collaborating with engineering, product, and data science teams. You will also be responsible for automation efforts, dashboard/report development, offshore coordination, and ensuring SLA adherence and consistency across pricing operations. Experience with Redmine, JIRA,...

We are looking for a seasoned professional with 7+ years of experience in pricing operations, data engineering, or analytics to lead global pricing operations and analytics initiatives The ideal candidate will act as a hands-on Data and QA Engineering lead, ensuring the accuracy and quality of pricing data, trends, and models Responsibilities include building QA workflows, leading distributed teams, mentoring analysts, and collaborating with engineering, product, and data science teams You will also be responsible for automation efforts, dashboard/report development, offshore coordination, and ensuring SLA adherence and consistency across pricing operations Experience with Redmine, JIRA, and...

We are looking for a seasoned professional with 7+ years of experience in pricing operations, data engineering, or analytics to lead global pricing operations and analytics initiatives The ideal candidate will act as a hands-on Data and QA Engineering lead, ensuring the accuracy and quality of pricing data, trends, and models Responsibilities include building QA workflows, leading distributed teams, mentoring analysts, and collaborating with engineering, product, and data science teams You will also be responsible for automation efforts, dashboard/report development, offshore coordination, and ensuring SLA adherence and consistency across pricing operations Experience with Redmine, JIRA, and...

Experience: You should have at least 6 years of experience in Quality Assurance. Job Location: The job is located in Mohali, Punjab. Job Type: This is a full-time position and requires you to work from the office. Eligibility: To be eligible for this role, you should have a bachelor's degree in business, IT, computer science, or a related field. An MBA degree will also be considered. Additionally, you must have hands-on experience with test automation, API tools, and QA frameworks. A strong knowledge of SDLC, STLC, and Agile/Scrum methodologies is required. Job Description: As a Senior Quality Analyst, you will be responsible for leading the QA team and driving end-to-end quality assurance p...

You should have over 15 years of experience in Project Delivery, Client Engagement, or Analytics Delivery Management. Your background should include strong experience in Analytics/Consulting/IT Services, particularly in handling complex project execution & governance. You should possess client-facing skills with exposure to US/Global clients and have experience in handling client escalations & governance reviews. It is important that you are familiar with tools & methodologies such as DS & DE at a scale of 7/10, QA frameworks, risk tracking, BI dashboards (Tableau/Power BI), JIRA, ServiceNow, or similar. Your leadership abilities should enable you to manage multiple project teams, mentor Del...

Experience: 15+ years in Project Delivery, Client Engagement, or Analytics Delivery Management. ? Background: Strong experience in Analytics/Consulting/IT Services, handling complex project execution & governance. ? Client-Facing Skills: Exposure to US/Global clients, with experience in handling client escalations & governance reviews. Tools & Methodologies: Familiarity with DS & DE on a scale of 7/10; QA frameworks, risk tracking, BI dashboards (Tableau/Power BI), JIRA, ServiceNow, or similar. ? Leadership: Ability to manage multiple project teams, mentor Delivery Managers, and drive process improvement. ? Having managed team size of 50+; and a portfolio of $4-5mn + Show more Show less

We are seeking a seasoned QA and reliability engineering leader to define and drive our automation-first quality strategy , deeply embedded in our CI/CD workflows and platform engineering culture. This role is core to delivering robust, single-click pipelines , high-reliability environments, and data-driven insights at scale. As a Senior Engineer , youll own strategy and execution for test automation, synthetic data generation, load and performance testing, resilience testing , and environment optimization across platform services. Your Role & Responsibilities Build and scale automated QA frameworks across services, APIs, and UI for platform-grade quality Drive test enforcement in single-cli...

We are looking for an experienced Senior Data Engineer to lead the development of scalable AWS-native data lake pipelines , with a strong focus on time series forecasting , upsert-ready architectures , and enterprise-grade data governance . This role demands end-to-end ownership of the data lifecycle from ingestion to partitioning, versioning, QA, lineage tracking, and BI delivery. The ideal candidate will be highly proficient in AWS data services , PySpark , and versioned storage formats such as Apache Hudi or Iceberg . A strong understanding of data quality , observability , governance , and metadata management in large-scale analytical systems is critical. Roles & Responsibilities Design ...