SDET with AI Consultant

LTD Global
Irving, TX, United States
27 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$112,000.0 - $159,390.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) JavaScript (Programming Language) Vbscript Microsoft Excel Application Programming Interfaces (APIs) Artificial Intelligence Application Integration Architecture JIRA Automation of Tests Code Coverage Computer Programming Programming Tools
+21 more
Python (Programming Language) Oracle (Applications) Payment Gateway Regression Testing Selenium SoapUI SQL Databases Software Testing Automation Framework Test Case Test Data Strategies of Testing Pega Postman Large Language Models Deep Learning Information Technology Playwright Cucumber (Software) SDET Jenkins Data Generation

Job description

We are seeking a highly skilled and motivated Software Development Engineer in Test (SDET) with a strong background in banking and financial services, coupled with expertise in leveraging AI for test automation. The ideal candidate will play a critical role in ensuring the quality and reliability of our banking applications by designing, developing, and maintaining automated testing frameworks. This role requires a blend of technical proficiency, domain knowledge, and innovative thinking to drive efficiency and accuracy in testing processes., 1. Test Automation Development: o Design and implement robust, scalable, and maintainable test automation frameworks using AI-driven tools and technologies. o Develop automated test scripts for functional, regression testing of banking applications. o Ability to identify the scope and E2E delivery of Automation. o Maintenance of Automation framework and repository.

  1. AI Integration: o Utilize AI and machine learning models to optimize test case generation, execution, and defect prediction. o Implement AI-based solutions for intelligent test data generation and anomaly detection.

  2. Banking Domain Expertise: o Apply knowledge of banking processes, regulations, and workflows to ensure comprehensive test coverage especially with Disputes workflow. o Collaborate with business analysts and product owners to understand banking requirements and translate them into effective test strategies.

  3. Quality Assurance: o Analyze requirements of projects, develop test plans, design test cases for broad range of systems and applications and ensure they meet specified standards and end-user requirements. o Ensure end-to-end quality of banking applications by identifying risks, creating test plans, and executing test cases. o Perform test data requirement, analysis, test data creation and conditioning o Monitor and report on test coverage, defect metrics, and overall application quality. o Serve as a SME and drive standards, compliance, strategic automation for development tools/frameworks to further improve architecture while driving value.

  4. Collaboration: o Work closely with development teams to integrate automated testing into CI/CD pipelines. o Partner with cross-functional teams to identify and resolve issues early in the development lifecycle.

  5. Continuous Improvement: o Stay updated with emerging AI technologies and testing tools to continuously enhance testing processes. o Drive innovation by introducing new methodologies and tools to improve efficiency and reduce manual effort., Role Summary The AI Functional Technical Consultant serves as the bridge between business stakeholders and technical AI/ML delivery teams. This person translates business process…

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Requirements

  1. Technical Skills: o Proficiency in programming languages such as Java, Python, VB Script or JavaScript. o Good Programming experience with Pega. o Extensive experience with test automation tools like Selenium, Playwright or UFT. o Proficient Experience with tools such as ALM, JIRA, Zephyr, advanced excel features. o Experience in Oracle and SQL queries for test data mining, data generation & conditioning

  2. Banking Domain Knowledge: o Strong understanding of banking workflows, financial products, and regulatory requirements. o Experience testing banking applications such as loan management systems, payment gateways, or risk management platforms. o Experience in using mainframe for testing and automation

  3. Automation/GenAI Expertise: o Experience in BDD/TDD, Cucumber framework development o Experience in building and maintaining CI/CD pipelines with tools like Jenkins. o Hands on experience in API testing tools like Postman or SOAPUI. o Understanding of deep learning fundamentals, RAG and LLMs o Experience of API development and integration of models through APIs.

  4. Soft Skills: o Excellent problem-solving and analytical skills. o Strong communication and collaboration abilities to work effectively with cross-functional teams.

  5. Education and Experience: o Bachelor’s degree in Computer Science, Engineering, or a related field. o 5+ years of experience as an SDET or QA Automation Engineer, with at least 2 years in the banking domain.

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