QA Engineer

Enterprise Engineering Inc. (EEI); New York (NY); On-site; USD 80,000 - 120,000; Full time

Job summary

Enterprise Engineering Inc. (EEI) in New York, NY seeks a QA Engineer for on-site, Monday to Wednesday presence in NYC. The role focuses on manual regression testing for financial reporting, reconciliation tools, and trading logic across front, middle, and back-office systems.

The candidate will validate functional and integration flows, support UAT, and collaborate with developers and analysts to uphold data integrity and system reliability in a complex enterprise environment.

Qualifications

• Candidates should have experience in manual regression testing of financial software.
• Strong SQL data validation skills.
• Experience with end-to-end testing across front/mid/back-office systems.
• Familiarity with Jira/Bitbucket defect tracking.

Responsibilities

• Perform manual regression testing to protect financial reporting, reconciliation tools and trading logic.
• Validate end-to-end transaction flows and data processing across systems.
• Support UAT and coordinate with developers, analysts, and end-users.
• Log defects and track requirements using Jira.

Skills

Regression testing

Functional testing

UAT coordination

SQL querying

Data integrity verification

Testing in financial domain

Tools

Jira

Bitbucket

Unix/Linux

AWS

SpringBoot

Java

Streaming architecture

Job description

QA Engineer

New York, NY

3 days a week onsite work

Onsite Interview Required

Client in NYC is looking for a Traditional QA Engineer.

Core Focus Areas

• Manual Regression Testing: Verifying that new code deployments or updates do not break existing financial reporting, reconciliation tools, or trading logic.
• Functional & Integration Testing: Validating the end-to-end flow of transactions, trade lifecycles, and data processing between front, middle, and back-office systems.
• Negative & Ad-hoc Testing: Intentionally inputting invalid data or unexpected user actions to test application resilience and error-handling capabilities.
• User Acceptance Testing (UAT) Support: Serving as a "quality catalyst " by collaborating directly with developers, business analysts, and end-users to manage UAT guidelines and verify real-world operational

Technical and Domain Competencies

Traditional QA teams handle highly complex enterprise systems and generally require a specific mix of financial and technical skills:

• Database & Data Integrity: High proficiency in writing complex SQL queries to manage and validate financial data stores. Traditional and Cloud Databases.
• System Environments: Navigating backend servers using Unix/Linux commands and scripting.
• Technology Stack: AWS, Microservices, SpringBoot, Java, Streaming Architecture
• Domain Knowledge: Understanding specific financial structures such as Securities Lending, Equity Swaps, FIX protocols, and T+1 clearance mandates.
• Tool Tracking: Rigorous defect logging, sprint tracking, and requirement mapping utilizing platforms like Jira and Bitbucket