Contributes and leads testing through high-quality functional and automation test scenarios

Identifies, prioritises, and performs tasks in the software development lifecycle

Develops tools and applications required for automation by producing clean, efficient and scalable code utilising Python-based test frameworks

Automate tSQL Stored Procedure regression, component and unit tests using tSQLt and pytest

Utilise 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 a combination of benchmarking frameworks and AI-based anomaly and drift detection

Advocate for and implement engineering guidelines for excellence, including automation, code reviews, and continuous integration/continuous delivery (CI/CD)

Ensures high quality, reliable products through the implementation of automated regression test frameworks

Collaborates closely with business and engineering partners to deliver products, services, enhancements and solutions to meet customer needs and align with goals of the business and engineering lines

Communicates with clarity, precision, and influence, presenting complex information in a clear and concise format that is appropriate for the audience

Drive a culture of engineering excellence through mentorship, peer reviews, and promoting standard methodologies in software automation testing

Continuously evaluate and enhance QA processes to improve efficiency, reduce cycle times and enhance overall product quality

Over 7+ years proven experience as a Software Developer in Test, designing, implementing and recording test results through automation in large-scale data intensive platforms

Strong experience in test case design, performing automation testing using python frameworks

Proficiency in QA and Test Automation suites and technologies (e.g. pytest, pandas)

Significant experience of MS-SQL or PostgreSQL, including data analysis, setup and execution of test scripts (e.g. Liquibase, Flyway)

Proficiency in Python required for analysis and automation of test scenarios

Experience using AI/ML and Data Science technologies (e.g. scikit-learn, TensorFlow, PyCaret, etc) for anomaly detection

Familiarity with performance, security and other non-functional testing approaches (e.g. JMeter, Apache Benchmark, k6, SQL Profiler etc)

Prior experience of automating the business logic embedded in the back-end and middleware on C#.net / SQL Server with front end on Angular / Silverlight

Solid understanding of AWS cloud technologies, particularly AWS EC2, preferable knowledge of AWS Native services such as EKS, Lambda, etc.

Proven ability to deliver high-quality, maintainable code and systems.

Extensive experience in software engineering principles, CI/CD tools and automation processes

Strong analytical skills and a problem-solving mentality

Some experience of Business and Technical Analysis, Delivery Management, and/or Emerging Technology and Governance

Experience working in an agile environment with a focus on collaboration, automation, and continuous improvement

Experience with Financial Markets in Equities and / or Fixed Income

Financial services experience is preferred.

Articulate, energetic person able to work alone or as part of a team

Excellent attention to detail but an ability to think laterally to solve business problems

Excellent interpersonal skills, both written and verbal, with the ability to work effectively with both technical and non-technical collaborators

A passion for continuous learning and improving software engineering practices

Ability to learn quickly, work under pressure and to tight deadlines

Demonstrated ability to mentor and grow junior engineers

Creative, results driven, self-motivated and solutions oriented

Demonstrates a can-do attitude, exhibits self-confidence