Python and Test Automation Engineer

• At least 8–10 years of professional development experience.
• Experience in banking, financial services, or other regulated environments preferred.

• Expert-level experience with Python development.
• Strong hands-on experience with automation using Python scripts for jobs, workflows, and system processes.
• Proven experience with test automation using BDD frameworks (e.g., Behave, Pytest-BDD).
• Strong focus on unit testing using Python testing frameworks (Pytest, unittest, mocking libraries).
• Demonstrated ability to build reliable, high-performance, and stable Python applications and batch jobs.
• Experience with job scheduling, batch processing, and file/data processing.
• Experience integrating automation and tests into CI/CD pipelines.
• Solid understanding of object-oriented programming, modular design, and clean code practices.
• Experience working with relational databases and SQL.
• Strong troubleshooting skills and ability to resolve production issues under pressure.
• Ability to analyze and document business processes, automation flows, and system behavior.

• Experience with REST APIs and integration automation.
• Experience with messaging or event-driven processing.
• Exposure to container platforms (Docker, Kubernetes/OpenShift).
• Familiarity with Linux/Unix environments.
• Experience with performance profiling, logging frameworks, and observability tools.
• Experience with cloud platforms (Mainly Azure).

• Bachelor’s degree or equivalent in Computer Science or related field.
• Strong verbal and written communication skills.
• Strong analytical, problem-solving, and multi-tasking abilities.
• Ability to work effectively with end users, technical teams, and management as needed.

• Perform system and requirements analysis and translate business and operational requirements into automated Python solutions.
• Design and develop Python-based automation scripts to automate jobs, workflows, data processing, and operational tasks.
• Build and maintain backend Python applications and scheduled/batch processes with clear restart, recovery, and error-handling mechanisms.
• Develop reusable libraries, utilities, and frameworks to standardize automation and testing patterns.
• Apply well-accepted design patterns and best practices to ensure maintainable, scalable, and secure Python code.
• Document technical designs, automation flows, and operational procedures.

• Design and implement test automation frameworks using BDD tools (e.g., Behave, Pytest-bdd, Cucumber-style frameworks).
• Develop automated test suites covering functional, regression, and integration scenarios.
• Enforce strong unit testing practices using Python testing frameworks; define coverage and quality expectations.
• Integrate automated tests into CI/CD pipelines to ensure early defect detection and regression prevention.

• Participate in planning and execution of DUT, SIT, and UAT, coordinating closely with QA and business teams.
• Support defect analysis, remediation, and re-testing activities.
• Ensure test evidence and documentation are produced to meet audit and compliance requirements where applicable.

• Proactively identify and resolve performance bottlenecks in Python scripts and applications.
• Improve system stability through robust exception handling, retries, idempotency, and resource management.
• Tune batch jobs and automated processes for efficiency, scalability, and predictable execution.
• Establish logging, monitoring, and alerting standards for automated jobs and backend processes.

• Manage issues and enhancements using tools such as JIRA or equivalent issue tracking systems.
• Provide production support, including incident triage, root-cause analysis, and timely resolution of issues.
• Support operational controls such as certifications, password rotations, vulnerability remediation, and audit activities.

• No direct reports; however, this person should be able to run small to medium initiatives, support other developers, and provide technical guidance.
• Coordinate with infrastructure, DevOps, and other technology teams to deploy and operate automation solutions.
• Take complete ownership of assigned tasks and manage priorities with minimal daily supervision.

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