Responsibilities:
Responsible for E2E Quality engineering activities for Risk Advisory – Shared component eco system across front end, back end, data model components and API Services.
Work closely with Product Management, UI/UX Design and business stakeholder teams to turn requirements into acceptance criteria and scenarios.
Creation and implementation of comprehensive Quality engineering strategy and plan for new /existing software covering:
Testing of components and sub-components, ETL testing, Data model validation, API services verification
Unit testing, Functional testing, System Integration testing, Regression testing, user acceptance testing and post deployment testing phases
Automate-First approach for testing & drive effective quality engineering practices in project.
Develop comprehensive quality gates and sign off process working with product team, engineers, data engineers/scientists, and business teams to ensure a high bar of quality is implemented across product life cycle.
Develop test cases based on requirements and required coverage to assure software meets project specifications and design.
Plan and document test data needs to ensure business requirement are covered in testing process.
Develop & Implement automation testing framework with Automate-first approach for various components of Risk Advisory – Shared component ecosystem.
Execute test plans covering all different testing types / phases with a keen eye to identify, troubleshoot and resolve defects and issues in our product.
Perform research and exploratory testing with a focus on identifying and documenting defects.
Review defects and test logs to identify root causes and suggest solutions for improving testing, documentation, and process improvement.
Assist with user acceptance testing & production implementation activities.
Set/adopt and Support existing development standards and processes (e.g., solution structure, DevOps processes, source control strategy, testing frameworks) for the project team.
Work with central teams to manage DevOps environment – SCC, CI/CD, test automation, etc.
Support evaluation 3rd party solutions, products, tools, and libraries for use in product ecosystem.
Sound like the job you’re looking for? Before you apply it’s also worth knowing what we’re looking for:
Knowledge, Skills and Abilities
Mandatory:
Experience functioning as Senior quality engineer and/or team/technical lead with strong understanding of Quality engineering best practices.
Expertise in at least one programming language - preferably JavaScript or Python and proficient in .Net Core.
Expertise in E2E testing across web, back-end, web / API services, ETL/Databricks notebook testing, SQL procedure testing, Data model validation and verification.
Experience in QA Test automation frameworks e.g. Selenium, Cypress
Highly proficient in testing applications in cloud ecosystem Azure / AWS covering.
Cloud identity management and authentication services, e.g. Okta
API development and management services, e.g. Azure APIM
Management and configuration of Azure Cloud services (e.g. app services, VMs, security, storage, etc.)
Infrastructure as a code and IAC tools like terraform.
Strong understanding of SCC and CI/CD using GitHub Enterprise and/or Azure DevOps
Experience with performance tuning, high availability concepts, and disaster recovery
Strong understanding of Application Security e.g. Snyk, Wiz scan report analysis and testing remediation fixes
Strong understanding Networking concepts, e.g. DNS, SSL, firewalls, CDNs, etc
Advantageous:
Knowledge of testing applications built using AI & machine learning technologies – ML Ops using databricks.
Knowledge of Search technologies, e.g. Elasticsearch and/or Azure Search
Knowledge of GIS/mapping technologies and APIs, e.g., Mapbox, Google Maps, ArcGIS, etc
Experience & Education
Bachelor’s Degree (or equivalent experience) in computer science or engineering
Must have at least 10+ years’ experience working in software quality engineering / data quality engineering with complex ecosystem and manage complex business requirements.
Strong organizational skills and an ability to effectively multitask.
Strong knowledge of Agile Methodologies and principles.
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