HeadSpin

General

• Leads enterprise performance engineering efforts
• Ensure system scalability, stability, reliability, and responsiveness across distributed cloud and hybrid environments
• Responsible for designing and executing load, stress, endurance, and scalability testing strategies
• Identify bottlenecks across applications, APIs, databases, and infrastructure
• Work closely with Architecture, DevOps, QA, and Development teams to validate production readiness
• Optimize system performance and support high-availability cloud deployments within Azure and AKS environments

Performance Test Lead

• Design and own the Power BI semantic layer
• Build complex reports, executive dashboards, and KPI scorecards
• Manage BI request intake queue and mentor analysts
• Collaborate with IT for data model changes

Power BI Lead

Data Engineer

• Design and build extraction, transformation, and loading (ETL) pipelines using Microsoft Fabric (Dataflow Gen2, Notebooks, or equivalent tools)
• Write optimized SQL queries and transformations for data ingestion from designated source systems
• Apply data quality rules and validation logic at each pipeline stage
• Implement incremental loads and manage refresh schedules for performance
• Define and implement data quality checks at ingestion, transformation, and output stages
• Perform ongoing data validation to ensure pipeline outputs align with business logic and source system expectations
• Build and maintain data transformations using Power Query, SQL, or Python as appropriate
• Optimize data structures for performance and maintainability
• Troubleshoot pipeline failures and performance issues; coordinate resolution with IT/Engineering
• Maintain documentation of data sources, data dictionaries, and transformation specifications

Analyst

• Ensure the accuracy, completeness, and quality of mortgage-related documents
• Perform comprehensive reviews of new documents and updates completed by Document Developers
• Validate that all requirements have been met
• Ensure deliverables adhere to established standards and best practices
• Conduct independent testing and assess customer impact
• Migrate validated work through development, staging, and production environments using proprietary tools

Quality Control Analyst

QA Engineer

• Owns the stability, accuracy, and signal quality of automated test execution by systematically analyzing, debugging, and resolving failing scripts across pipelines.
• Execute and monitor pipelines in Azure DevOps
• Categorize failures: Test defect vs environment vs data vs code
• Script-Level Debugging & Root Cause Analysis
• Debug automation scripts written in Playwright / Selenium
• Identify root causes such as: Flaky selectors, Synchronization/timing issues, Assertion mismatches, Data dependency failures
• Validate API failures using Postman or GraphQL tools
• Inspect logs and telemetry
• Track trends and provide triage reporting

QA Triage & Execution Analyst - Pipeline Operator

Support Engineer

• Advanced troubleshooting skills
• Strong communication skills
• Ability to multi-task and dynamically prioritize issues
• Passionate about security and risk mitigation
• Focus on quality and efficiency

Technical Support Analyst, Tier 2

• Execute manual testing
• Create high-quality test cases (Test Plans, traceability)
• Validate backend data using: SQL Server Management Studio
• Validate file integrations using: Using internal tools
• Capture evidence and defects: Using internal tools
• Perform: Exploratory testing
• Feature Testing
• Regression Testing
• Assist with UAT as needed
• Workflow validation across distributed systems.
• Validate document outputs and compliance workflows using: Azure Document Intelligence
• Reproduce and validate customer issues
• Coordinate with automation engineers to develop and review tests – In addition, has the desire to learn automation with AI tooling.
• Frontline support for hot fixes and patches
• Demo new features and fixes to Compliance, Customer or Product teams.

Manual QA Engineer – Frontline Feature & Support Testing

QA Automation Engineer

• Develops, maintains, and scales automated test coverage across UI, API, and integration layers.
• Build and maintain automated tests using: Playwright and Selenium
• Develop API and integration tests using: Postman GraphQL tools (GraphiQL)
• Validate messaging workflows using: Mailosaur (MFA, OTP, notifications)
• Support document validation using: Azure Document Intelligence
• Use GitHub Copilot for productivity and test generation
• Integrate automated tests into Azure DevOps pipelines
• Maintain test data and environment configurations

Automation Developer

SDET

• Validates system scalability, performance, and reliability under load across distributed environments
• Primary Tools (explicit in role) Apache JMeter, Akamai CloudTest, Azure Load Testing, Azure monitoring stack: Azure App Insights, Azure DB Metrics, Container monitoring (AKS), PowerShell-based monitoring scripts

Performance Test Engineer

Full-stack Engineer

• Design, develop, and maintain robust, scalable, and secure full-stack web applications.
• Build intuitive and responsive user interfaces using JavaScript frameworks.
• Develop server-side logic, APIs, and database interactions using C# and SQL.
• Create, maintain, and optimize front-end components using HTML, JavaScript, jQuery, and CSS frameworks (e.g. Bootstrap).
• Write scripts and integrate with back-end processes where the GUI acts as a wrapper to bash scripts.
• Ensure code quality through proper testing, debugging, and adherence to coding standards.
• Integrate third-party libraries, APIs, and systems into the application.
• Maintain and enhance existing applications, ensuring compatibility with evolving technologies.
• Monitor application performance and troubleshoot issues to ensure optimal functionality.
• Collaborate with product managers, designers, and stakeholders to translate business requirements into technical specifications.
• Work closely with cross-functional teams, including UI/UX designers, QA engineers, and DevOps teams.