Senior Engineer, Software Development Test QE

Name of

Employer:

LPL Financial LLC

Position Title:

Senior Engineer, Software Development Test QE (Req# 000122)

Requisition : 000122

Hours:

40 hours per week Salary Range: $132,000 - $142,000 per year

Location:

13620 N FM 620 Building C, Suite 200, Austin, TX 78717

Telecommuting:
None

JOB DUTIES:

Build end-to-end (E2E) automation solutions to connect financial services platforms.

Work with inter-disciplinary team of hardware, firmware, software, system, and test engineers to develop and integrate technologies.

Create, execute, and automate test plans and GUI automation test cases using Agile practices.

Implement automated tests for SOAP, REST services, and backend microservices/API.Develop and execute automated tests for database validation of data-loads and data ingestion, including synthetic data generation and automated reconciliation for data migrations.

Validate and automate backend systems, financial transactions, enterprise billing systems, rate structures, and compliance rules and conduct performance testing including load, stress, and endurance testing for UI and API applications capturing key metrics.

Maintain source code with version control tools and manage continuous testing workflows with zero-touch deployment pipelines using CI/CD practices.

Validate functions, transformation, third party messages, data ingestion, and third-party integrations and work with message queues and cron jobs for batch processing validation.

Implement shift-left mechanisms by collaborating with development and release management teams to embed quality into every phase,reduce defect detection time, and perform security testing.

Write complex SQL scripts for data validation of data warehouse with multiple data sources and automating DB validation.

Create and document test scripts, defects, and comprehensive performance test reports with quality dashboards.

REQUIREMENTS:

MINIMUM Education Requirement:
Bachelor’s degree in Computer Science, Computer Engineering, Computer Information Systems, Information Technology, or a related field (willing to accept foreign education equivalent) and five (5) years of experience in the job offered or related occupation building automation test frameworks within a financial domain.

ALTERNATIVELY:
Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Information Technology, or a related field (willing to accept foreign education equivalent) and three (3) years of experience in the job offered or related occupation building automation test frameworks within a financial domain.

Applicants must possess demonstrated expertise with the following:

Demonstrated Expertise ("DE") working in an Agile or Scrum environment, delivering software applications and implementing Continuous Integration and Continuous Deployment (CI/CD) pipelines using Git Hub  working with established automation test frameworks, including JUnit, TestNG, UI and Mobile Testing, using REST API testing; and developing automation testing using Selenium, Rest Assured, Cucumber, and Behavior Driven Development (BDD).DE creating test cases using test management tools (ALM or JIRA) for user stories in RESTful API Services and maintaining data scenarios to support test plans and test  developing software for test automation and programming in Python, Java, and JavaScript using automation frameworks and working with synthetic data engineering using Pandas and PySpark to validate large-scale financial  developing and executing complex SQL queries with performance tuning expertise across MySQL, SQL Server, working with message queues and cron jobs for batch processing validation, and working with batch job validation for large-scale data  in data quality testing and ETL testing, including building automated reconciliation systems for data migrations, and validating data transformations with mutation  working with enterprise financial systems, including enterprise billing systems, financial transactions, rate structures, and compliance requirements and working with Kubernetes and AWS components including S3,  in performance testing using JMeter to conduct load, stress, and endurance testing for both UI and…