IT Quality Assurance Analyst

Role Overview

• Implements and oversees the test automation approach (working with all squads within the POD) to deliver the Test Automation Strategy including CICD, non functional testing
• performance, security engineering, compatibility, accessibility testing Testing AI/Gen AI business applications.
• Demonstrate usage of Gen AI in tooling & AI driven insights reporting.
• Creating/Reusing AI utilities/components for Testing.
• Demonstrate usage of Gen AI for Testing optimization, comparisons, code refactoring, migrations.
• Drives out improvements and innovation around tooling, frameworks and approaches working on shift left first principles and the automation pyramid.
• Able to work constructively with other POD leads and Squad leads to ensure the best value is being driven through the automation approach and that the approach is consistent with other PODs where beneficial.
• Works with the POD leads and the business/POs to ensure there is a holistic and consistent approach to Quality (through RCA, metrics, code quality, (defect) stage containment) and ensures cross communication and collaboration on QA best practices, risks and open issues across other PODs.
• Leads and federates the overall test approach to the Squads
• built-in quality, metrics, methods and tools.
• Leads process improvement initiatives focus on Quality, Velocity and Efficiency (agreed across the POD) e.g closer alignment to business acceptance, operations etc.
• Ensure consistency across all squads in line with POD strategy/maturity/priorities/global approach
• undertaking quality reviews and deep dives to ensure there is a consistent approach.
• Input into PI planning, and subsequent resourcing planning
• including skills profiling and identify training requirements for POD members.
• Identify supplier training requirements and feed into global KPI and supplier measures.
• Provides timely reports with qualitative and quantitative analysis of test coverage, defect trends & leakage enabling key stakeholders (including Squad leaders) for timely course correction.
• Define and design quality metrics and dashboard to enable the Pod lead & PO to frequently gauge the quality of the software.
• Manage a team of Test Engineer leads and Test analysts.

Requirements

• Strong understanding of Test Engineering and Quality Assurance best practices, tools and policies
• Experience in using Generative AI for testing activities and experience in testing AI/ML models
• Proficiency in collecting, processing and assessing data quality and validating test data for AI frameworks, automation for AI powered applications
• The ability to communicate effectively to both technical and non-technical colleagues in a cross-functional environment
• Proven track record of successfully delivering Quality software solutions
• Strong Leadership skills and a team player
• Experience or knowledge of working with Agile at Scale, Lean and Continuous Delivery approaches such as Continuous Integration, Test-Driven Development and Infrastructure as Code
• Experience in selenium tools and Configuring Selenium Test Environment (Ex: Eclipse IDE, Java, Selenium WebDriverIO and TestNG etc…)
• Involvement in Test Environment Setup
• Familiar with Automation Framework Design and Implementation
• Understanding of CI/CD and DevOps practices
• Strong Self-starter and active squad contributor
• Experience of testing software across a variety of languages, technologies, and platforms.

Tech Stack

• Java
• Selenium

Benefits

• Health insurance
• Professional development opportunities
• Flexible working arrangements