Senior Developer

Responsibilities Contribute to and lead testing through high-quality functional and automation test scenarios. Identify, prioritize, and perform tasks throughout the software development lifecycle. Develop tools and applications required for automation by producing clean, efficient, and scalable code utilizing Python-based test frameworks. Automate tSQL Stored Procedure regression, component, and unit tests using tSQLt and pytest. Utilize Generative AI and Machine Learning to validate and detect anomalous data, predict inefficient processes, and implement automatic test case generation. Perform database and process performance testing using benchmarking frameworks and AI-based anomaly and drift detection. Advocate for and implement engineering best practices, including automation, code reviews, and CI/CD. Ensure high-quality, reliable products through automated regression test frameworks. Collaborate with business and engineering teams to deliver products, enhancements, and solutions aligned with business objectives. Communicate complex technical information clearly and effectively to both technical and non-technical stakeholders. Drive engineering excellence through mentorship, peer reviews, and automation testing best practices. Continuously evaluate and improve QA processes to increase efficiency, reduce cycle times, and enhance product quality. Summary Location: Fort Mill, SC Work Mode: Hybrid Requirements Minimum 7 years of experience as a Software Developer in Test (SDET) or QA Automation Engineer in large-scale, data-intensive environments. Strong experience in test case design and automation testing using Python frameworks. Proficiency with QA automation tools and technologies such as pytest and pandas. Significant experience with MS SQL Server or PostgreSQL, including data analysis and test script execution. Experience with database migration/testing tools such as Liquibase and Flyway. Strong Python programming skills for automation and test development. Experience leveraging AI/ML and Data Science technologies such as scikit-learn, TensorFlow, and PyCaret for anomaly detection and test optimization. Familiarity with performance and non-functional testing tools including JMeter, Apache Benchmark, k6, SQL Profiler, etc. Experience automating backend and middleware business logic built on C#.NET and SQL Server, with frontend technologies such as Angular or Silverlight. Strong understanding of AWS cloud technologies, including EC2, with preferred experience in EKS, Lambda, and other AWS-native services. Experience implementing CI/CD pipelines and software engineering best practices. Strong analytical, troubleshooting, and problem-solving skills. Experience working in Agile environments focused on collaboration, automation, and continuous improvement. Preferred Skills Exposure to Business Analysis, Technical Analysis, Delivery Management, or Technology Governance is a plus. Financial Markets experience in Equities and/or Fixed Income is preferred. Key Attributes Strong verbal and written communication skills. Ability to work independently and collaboratively in a team environment. High attention to detail with strong critical-thinking capabilities. Excellent interpersonal skills with the ability to interact across technical and business teams. Passion for continuous learning and software quality improvement. Ability to work under pressure and meet tight deadlines. Demonstrated mentoring and leadership experience. Self-motivated, results-driven, and solution-oriented mindset. Positive attitude with a strong sense of ownership and accountability. #J-18808-Ljbffr