Python Test Platform Engineer

Job Description:

We are seeking an experienced Python Test Platform Engineer with strong knowledge of the banking domain to join our team. In this role, you will be responsible for designing, developing, and maintaining test automation frameworks for banking applications, ensuring they meet the highest quality standards. The ideal candidate will possess a deep understanding of banking systems and financial processes, combined with expertise in Python-based test automation tools and frameworks.

As a Python Test Platform Engineer, you will work closely with cross-functional teams to design effective test strategies, automate testing processes, and support the delivery of robust and secure banking solutions. Your contributions will directly impact the performance and compliance of critical banking applications.

Key Responsibilities:

Develop and maintain test automation frameworks and test scripts using Python to ensure quality, security, and performance of banking applications.

Work closely with development teams, business analysts, and product managers to understand requirements and design comprehensive test plans and test cases.

Automate functional, regression, integration, and performance tests for core banking systems, transaction processing, payment systems, and other financial services applications.

Leverage Python-based testing frameworks such as pytest, Robot Framework, Selenium, or Playwright for automated testing.

Execute tests and report results, identify defects, and work with development teams to ensure quick resolution of issues.

Design and execute API tests (RESTful, SOAP) using tools like Postman, Requests library, or other Python-based testing tools.

Optimize and maintain continuous integration and delivery (CI/CD) pipelines using tools like Jenkins, GitLab, and Git.

Conduct performance testing (using tools like Locust or JMeter) to ensure applications handle high traffic and transaction loads typical of banking systems.

Monitor and improve the overall test coverage and test process for increased efficiency and accuracy in the banking environment.

Work with SQL to validate data integrity, create complex queries, and perform database validation for banking applications.

Stay up-to-date with industry standards, regulatory requirements, and emerging technologies in both banking and test automation.

Required Skills and Experience:

5+ years of experience in Python development, with a focus on test automation in the banking or financial services domain.

Solid understanding of banking systems (e.g., transaction processing, core banking systems, payment gateways) and financial applications.

Proven experience with Python-based test automation frameworks such as pytest, Selenium, Robot Framework, and others.

Strong understanding of software testing principles and best practices, including functional, integration, regression, and performance testing.

Experience in API testing using Python libraries such as Requests, pytest, or tools like Postman for RESTful and SOAP services.

Proficiency with SQL for database validation, writing queries, and verifying test results.

Experience with CI/CD tools like Jenkins, Git, Maven, GitLab, etc., for automation of build and deployment pipelines.

Knowledge of performance testing tools such as Locust, JMeter, or similar tools for simulating high-volume banking transactions.

Strong understanding of the Agile development methodology and how to integrate automated tests into an Agile development cycle.

Good problem-solving and debugging skills, with a focus on delivering high-quality, secure, and reliable banking applications.

Preferred Skills:

Experience with cloud platforms (e.g., AWS, Azure) and cloud-based test automation.

Familiarity with regulatory and compliance requirements in the banking sector (e.g., PCI DSS, SOX, GDPR).

Knowledge of microservices architecture and testing in a microservices-based environment.

Familiarity with containerization (e.g., Docker) and orchestration platforms (e.g., Kubernetes).

Experience with additional testing tools like TestNG, Cucumber, or Gatling.

Familiarity with DevOps practices and tools for automation.