Sr. SDET – AI & Data Engineering at LPL Financial
Fort Mill, SC 29715, USA -
Full Time


Start Date

Immediate

Expiry Date

18 Oct, 25

Salary

91425.0

Posted On

20 Jul, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Feeds, Test Methodologies, Programming Languages, Kubernetes, Web Services, Python, Test Processes, Computer Science, Software Development, Docker, Selenium, Junit, Test Cases, Test Coverage, Appium, Data Validation, Test Scripts, Testng, Git, Test Strategy, Jira, Java

Industry

Information Technology/IT

Description

JOB OVERVIEW:

Our team is actively seeking a motivated and talented Sr. Software Development Engineer in Test who is passionate about data and testing software through automation. You will be part of an inter-disciplinary team of hardware, firmware, software, system, and test engineers to develop and integrate cutting-edge technologies for a Financial Services Company, building AI driven E2E automation solutions connecting the Advisor Platform, the Investor Platform, and Teammates.
You will work closely with product and engineering teams to understand features, develop and automate test cases, improve product quality, and shorten release time from development to production.

REQUIREMENTS:

  • Bachelor’s degree in computer science or related field, plus 6+ years of IT experience, or a Master’s degree with 5+ years of IT experience
  • Minimum of 6+ years of hands-on experience in software development in test automation SDET, concurrent coding skills in one of the programming languages: Java or Python
  • Test automation experience using open-source technologies and/or in-house frameworks like Selenium, Appium, TestNG, etc., and have leveraged & implemented CI/CD pipelines
  • Hands-on experience with test processes, test methodologies, test strategy, test plan and test case design & execution

TECHNICAL REQUIREMENTS

  • Solid experience in testing SQL procedures and the ability to understand/write complex SQL queries to perform data validation
  • Hands-on experience creating and executing test plans, test cases, and test scripts for Database/ETL Workflows
  • Minimum of 2 years of hands-on experience working with AWS services like S3, RDS, DynamoDB, Lambda, and exposure to Bedrock model integration or experience with other cloud vendors
  • AI Tools / Models / Training Data Set exposure is a plus for adoption in testing methodologies
  • Hands-on experience analyzing data, comparing with mapping documents, and debugging to identify the root cause
  • Familiarity with Docker and Kubernetes; Snowflake and Data Lake
  • Hands-on experience Testing and Automation development for Batch Jobs, Data Feeds, API / Web services / Swagger
  • Experience with test frameworks like Junit, TestNG; Code Versioning tools like GIT
  • Experience with CI/CD with TeamCity/Octopus/Jenkins; and integrate AI-based quality gates and observability into CI/CD pipelines like GitHub Co-pilot
  • Envision opportunities and apply AI low code/ no code automation techniques to improve the test coverage
  • Experience with Jira or similar Agile process tools
Responsibilities
  • Actively Participate in all Agile Scrum ceremonies - PI Planning, Sprint Planning, Daily Standups, Defect Review, Sprint Demo, Retrospective
  • Actively participate in Backlog Refinement, story grooming, analyze and understand user story acceptance criteria
  • Develop and execute both Manual and Automation Test plan, Test Cases based on the user stories and ensure proper test coverage
  • Identify manual processes and implement intelligent automation solutions using AI/ML frameworks to optimize overall test preparation and execution efficiency also reduce cycle time.
  • Perform in-sprint testing, service/API testing, Integration / E2E testing, Regression Final Build Certification and Release Day testing
  • Reviewing user interfaces for conformity and functionality
  • Working with software engineers to understand product architecture, integrations and features
  • Creating and maintaining data scenarios to support test plans and test cases
  • Ability to identify patterns, anomalies, and inconsistencies within data, ensuring accuracy and quality.
  • Analyzing test results, being a vocal proponent for quality in every phase of the development process
  • Documenting, tracking bugs to closure and reports on Project status to stakeholders
  • Working in an Agile/Scrum environment to deliver high-quality software
  • Serves as SME for one or more functional areas, acts as technology ambassador for automation and builds efficient solutions
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