About the role

Aplyr's Quick Take

This role is for a Lead QA Engineer focused on test automation and AI integration in finance applications. You'll be responsible for overseeing quality engineering activities, defining QA strategies, and ensuring robust testing processes, particularly in cloud environments. It's an individual contributor role with leadership responsibilities in guiding testing efforts.

Good fit

Ideal candidates have 8-14 years of experience in QA, particularly in finance domains, and are comfortable with both manual and automated testing. A strong technical background in cloud technologies and test automation tools is essential, along with a collaborative working style.

Worth noting

The role emphasizes AI-assisted testing tools, which is a growing trend in QA. However, the job spec is vague on day-to-day responsibilities, so expect some ambiguity in what your daily tasks will entail.

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Job Description:

Lead Software Quality Engineer -Test Automation/AI Adoption

Experience: 8–14 years

Primary Technical Skills
Strong experience in Finance domain testing, including ERP, Billing, Accounts Payable (AP), Accounts Receivable (AR), General Ledger (GL), Payroll, Tax, Treasury, Fixed Assets, Procurement, and Financial Reporting.
Hands-on experience in API Testing using REST/SOAP, Postman, Swagger/OpenAPI, Rest Assured, JSON/XML validation, OAuth/JWT authentication, and API contract testing.
Strong expertise in ETL/Data Warehouse Testing, including source-to-target validation, data profiling, transformation validation, data reconciliation, CDC validation, batch processing, file validation (CSV/XML/JSON), and data quality testing.
Advanced SQL Server skills, including complex joins, CTEs, window functions, stored procedures, views, triggers, functions, execution plan analysis, query optimization, and backend data validation.
Experience testing applications on Google Cloud Platform (GCP), including:
BigQuery
Cloud SQL
Cloud Storage
Pub/Sub
Cloud Run
Cloud Functions
Cloud Scheduler
Secret Manager
Experience validating cloud-native microservices, event-driven integrations, asynchronous messaging, and distributed systems.
Strong test automation experience using:
Selenium WebDriver
Java
TestNG/JUnit
Maven/Gradle
Rest Assured
Playwright
Cucumber BDD
Experience with AI-assisted testing tools such as GitHub Copilot, intelligent test generation, self-healing automation, and AI-enabled quality engineering.
CI/CD pipeline validation using GitHub Actions, Jenkins, Azure DevOps Pipelines, and automated deployment verification.
Version control using Git/GitHub.
Defect management using Jira and Azure DevOps.
Agile/Scrum and DevOps delivery methodologies.
Responsibilities
Lead end-to-end Quality Engineering activities across Finance applications and enterprise integrations.
Define QA strategy, test architecture, automation strategy, and release quality gates.
Design and execute Functional, Integration, Regression, System, ETL, API, UAT, Performance, and Production Validation testing.
Develop reusable automation frameworks and increase automation coverage across UI, API, and backend validation.
Perform backend validation using SQL Server and BigQuery datasets.
Validate ETL pipelines, cloud data migration, financial reconciliations, and batch processing.
Validate REST APIs, event-driven integrations, Pub/Sub messaging, and microservices.
Perform financial transaction validation, reconciliation, audit trail verification, and accounting rule validation.
Analyze application logs, API logs, SQL logs, and cloud monitoring logs to identify root causes.
Collaborate with Solution Architects, Developers, Product Owners, Business Analysts, Finance SMEs, and Cloud Engineering teams.
Lead defect triage, risk assessments, root cause analysis, and production readiness reviews.
Drive automation, AI adoption, shift-left testing, and continuous quality improvement initiatives.
Mentor QA engineers on automation frameworks, API testing, ETL validation, cloud testing, and engineering best practices.
Preferred Technical Skills
ServiceNow testing
SSIS, Informatica, or Talend ETL tools
BigQuery and cloud-based data warehousing
Kafka or Pub/Sub messaging validation
Performance testing using JMeter
Contract testing using Pact
Docker and Kubernetes fundamentals
Monitoring tools such as Splunk, Dynatrace, or Google Cloud Logging
Experience with enterprise Finance platforms including SAP, Oracle Financials, Workday, and PeopleSoft
Experience with enterprise data migration, cloud modernization, and financial systems integration

Employee Type:

Permanent

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Skills & Tags

Aplyr's read

UPS is a cornerstone of global logistics, employing diverse roles from operations to sales, for those who thrive in a fast-paced environment.
Synthesized from recent postings & public sources

What's promising

•UPS offers a vast global network, providing stability and growth opportunities.
•The company invests heavily in technology to enhance logistics efficiency.
•UPS provides diverse career paths, from logistics to corporate roles.

What to watch

•The fast-paced environment can lead to high stress levels.
•Shift work and non-traditional hours may impact work-life balance.
•Limited public information about diversity and inclusion initiatives.

Why UPS

•UPS's brown delivery trucks are iconic in the logistics industry.
•The company has a strong focus on sustainability and carbon reduction.
•UPS's internal promotion culture supports long-term career growth.

Aplyr’s read is generated by AI from public sources. Was it useful?

About UPS

UPS

ups.com

View company

United Parcel Service (UPS) is a global logistics and package delivery company, known for its extensive transportation network and supply chain solutions.