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Senior QA Engineer

Intercontinental Exchange Holdings, Inc. -
Hyderabad, Telangana

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Job details

Full-time

Qualifications

CI/CD
ASP.NET
Azure
XML
C#
NumPy
Test automation
Microsoft SQL Server
Selenium
Git
.NET
Java
SOAP
SQL
Pandas
SoapUI
Analysis skills
Quality assurance
Bachelor's degree
JavaScript
SQL Server Management Studio
Continuous integration
Usability
REST
SciPy
Scripting
Angular
Software development
GitHub
APIs
Software testing
JSON
Data science
XSLT
AI
TypeScript
Communication skills
Python
Time management
T-SQL
SDLC

Full job description

Job Description:

Job Purpose

The Senior QA Engineer plays a critical role in ensuring the quality, reliability, and performance of the Valuation Analytics application portfolio — including WebAVM, Hoku, and Kokua — by applying advanced QA methodologies and sound judgment to solve complex testing challenges. With a strong foundation in software testing, real estate / AVM domain knowledge, and analytical thinking, this role actively contributes to shaping QA practices across both legacy .NET Framework codebases and modern Angular front-ends. It involves mentoring junior team members, driving process improvements, and fostering a culture of quality throughout the development lifecycle. A proactive mindset and leadership in both technical and collaborative capacities are essential to delivering product excellence in a regulated, data-intensive valuation domain.

Responsibilities

Assist in leading QA Activities: Plan, design, and execute comprehensive test strategies — including functional, regression, integration, and exploratory testing — across the Valuation Analytics application portfolio. Cover both legacy ASP.NET Web Forms / Web API surfaces and the modern Angular 19 SPA. Perform performance and security testing aligned with organizational standards.
Review and Analyze Requirements: Collaborate with Business Analysts, Developers, and End-Users to understand business needs and technical impacts, ensuring test coverage aligns with UAD 3.6, MISMO, and URAR 1004 form requirements, and with downstream partner contracts (Fannie Mae, Chase, Xome).
Apply Advanced QA Knowledge: Participate in design reviews to gain a deep understanding of the multi-database architecture (11+ federated SQL Server databases), REST + SOAP integration points, and data workflows. Evaluate requirements for clarity and testability, prioritize high-risk areas — including 800+ UAD validation rules and ML inference paths — contribute to bug triaging to balance quality with delivery timelines, and support release readiness assessments.
Develop AI-powered Test Automation Initiatives: Leverage AI-driven tools and techniques to identify and prioritize high-impact test cases for automation. Lead the migration from deprecated Protractor to modern E2E frameworks (Playwright preferred, Cypress, or Selenium 4). Contribute to maintaining code quality and reusability by following established coding standards. Integrate AI-enhanced automation into CI/CD pipelines via Octopus Deploy and Azure DevOps to promote continuous testing across the AVM stack.
Problem Solving and Decision Making: Identify, analyze, and provide well-reasoned solutions to complex QA issues — including thread-blocking synchronous code paths, geospatial edge cases, PDF generation timeouts, and combinatorial rule-engine explosion — using established procedures and professional judgement. Recommend improvements to prevent recurrence.
Mentorship and Team Development: Guide and train junior QA team members on real estate / AVM domain concepts, test design for federated data sources, and modern automation tooling. Provide feedback and support their professional development.
Cross-Team Collaboration: Work closely with Engineering, Data Science, Product, and Operations teams to ensure quality is embedded throughout the development lifecycle for AVM and appraisal workflows. Communicate risks and issues clearly to stakeholders and management.
Process Improvement: Contribute to the evaluation and enhancement of QA processes, tools, and metrics across legacy and modern test suites. Wire automated coverage into Octopus Deploy and Azure DevOps pipelines, gate releases on coverage thresholds, and assist in debugging and improving application performance and reliability.
System Monitoring and Analysis: Monitor system behavior across DEV / QA / UAT / PRE / PRD / DR environments, analyze trends in valuation throughput, PDF generation pipelines, and ML inference outputs, and proactively identify potential quality issues before they reach production.

Knowledge and Experience

Bachelor’s degree in accredited institution.
6+ years of experience in software quality assurance, with demonstrated test ownership across both legacy and modern web stacks.
Hands-on C# / .NET test authoring — unit and integration tests for ASP.NET Web Forms and Web API codebases (NUnit, Moq, EF6 in-memory).
TypeScript / Angular testing — component, service, and observable tests with Jasmine, Karma, TestBed, and HTTP mocking.
API testing across REST and SOAP — fluent with both JSON and XML payloads and envelope-aware assertions (Postman, SoapUI, REST Assured, Bruno).
SQL Server fluency — query and seed federated databases (KOKUA01, REF01, MLS02, HPT01, DQ02, and 6+ others); strong T-SQL, SSMS, and test-data management.
UI automation with modern frameworks — Playwright (preferred), Cypress, or Selenium 4; able to replace deprecated Protractor suites.
Hands-on experience writing Python scripts for API testing and data testing — comfortable with data science libraries such as pandas, numpy, scipy, etc.
Strong analytical skills and test case design skills; meticulous attention to detail.
Solid understanding of the software development life cycle (SDLC) and QA’s role in it.
Effective communication and collaboration skills with stakeholders.
Strong organizational and time management skills with the ability to work on multiple priorities.
Demonstrated ability to solve complex QA problems using sound judgement and existing procedures.
Exposure to automation frameworks and scripting languages.
Experience using AI tools such as GitHub Copilot, Cursor, or Claude.

Preferred Knowledge and Experience

Real estate / AVM domain literacy — familiarity with comparables, adjustments, complexity profiles, market trends, URAR 1004, UAD 3.6, MISMO, and MLS data shape.
CI/CD pipeline integration — wiring automated suites into Octopus Deploy and Azure DevOps, with coverage gating via ReportPortal or Allure.
Document & PDF generation testing — Syncfusion + XSLT pipelines; pixel-diff and structured PDF assertions (pdfplumber, diff-pdf, Applitools).
UI automation experience — writing scripts in Playwright (JS), Cypress (JS), and/or Selenium (Java).
Familiarity with performance, security, and usability testing.
Knowledge of ROI-driven testing strategies.
Domain knowledge in finance, mortgage, or real estate.

Apply Now

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