Python Software Developer

Job Description

**mandatory

SN Required Information Details

1 Role** Python Developer

2 Required Technical Skill Set** Python Developer, FSD

3 Desired Experience Range** 5- 10 years

Desired Competencies (Technical/Behavioral Competency)

Must-Have** • Proficiency in Python FSD • Strong experience in test case design, performing automation testing using python frameworks • Experience using AI/ML and Data Science technologies (e.g. scikit-learn, TensorFlow, PyCaret, etc) for anomaly detection • Extensive experience in software engineering principles, CI/CD tools and automation processes • Strong analytical skills and a problem-solving mentality • Excellent communication and collaboration skills

Good-to-Have • Familiarity with performance, security and other non-functional testing approaches (e.g. JMeter, Apache Benchmark, k6, SQL Profiler etc) • understanding of AWS cloud technologies, particularly AWS EC2, preferable knowledge of AWS Native services such as EKS, Lambda, etc. • 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

SN Responsibility of / Expectations from the Role

• 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