Automation Engineer

In this role, you will:

• Develop, maintain, and optimize Python-based applications and ML/AI models for banking solutions.
• Design and implement user interfaces using React JS, ensuring seamless integration with backend services.
• Build and manage RESTful APIs for secure and scalable data exchange.
• Deploy, monitor, and troubleshoot applications on UNIX environments and Kubernetes clusters.
• Utilize AppDynamics and Splunk for application performance monitoring and incident analysis.
• Collaborate with cross-functional teams, including business analysts, infrastructure, and support teams.
• Manage and track incidents and service requests using ServiceNow.
• Participate in service transition, ensuring smooth deployment of new features to production.

To be successful in this role, you should meet the following requirements:

• Solid experience in Python development, with exposure to ML/AI frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Proficiency in React JS for front-end development.
• Strong understanding of UNIX/Linux systems and shell scripting.
• Hands-on experience with Kubernetes for container orchestration and deployment.
• Experience designing and consuming REST APIs.
• Familiarity with application monitoring tools such as AppDynamics and Splunk.
• Working knowledge of ServiceNow or similar ITSM/ticketing tools.
• Experience in the banking or financial services domain.
• Good analytical and problem-solving skills.
• Understanding of cloud platforms, Oracle databases, and microservices architecture is a plus.
• Excellent communication and collaboration skills.