Python Engineer

Summary:

• This is a senior development and technical leadership position responsible for designing and implementing scalable secure and resilient platform solutions within the Technology organization.
• Work Mode: Not specified

Responsibilities:

• Architect design and implement scalable Python-based platforms services and solutions.
• Lead the design and implementation of Agentic AI frameworks AI orchestration patterns and MCP-enabled integrations.
• Build and maintain highly available microservices-based architectures leveraging enterprise architecture standards.
• Design develop and manage RESTful APIs event-driven services and asynchronous processing frameworks.
• Drive adoption of event-driven patterns using messaging and streaming technologies such as Kafka MQ or equivalent platforms.
• Define technical standards and best practices for service architecture API design observability resiliency and security.
• Partner with architecture and infrastructure teams to establish scalable and reusable platform capabilities.
• Lead platform integration efforts across AI services data platforms workflow systems and enterprise applications.
• Implement robust controls governance monitoring auditing and traceability frameworks for AI-enabled solutions.
• Ensure Agentic AI solutions comply with model governance risk management explainability and operational control requirements.
• Drive implementation of CI/CD automated testing Infrastructure as Code and DevSecOps practices.
• Resolve complex technology challenges through deep analysis of business processes system design and industry best practices.
• Provide technical leadership and mentorship to development teams globally.
• Review system designs and code to ensure alignment with enterprise architecture and engineering standards.
• Collaborate with business stakeholders risk partners and technology leadership to define strategic technology solutions.
• Assess technology risks identify control gaps and ensure compliance with enterprise technology policies and regulatory expectations.
• Support production stability performance optimization and platform modernization initiatives.

Requirements:

• Bachelors degree in Computer Science Engineering Information Systems or related STEM field.
• Minimum 8 years of software engineering experience with at least 5 years developing enterprise Python solutions.
• Strong hands-on expertise in Python FastAPI Flask REST APIs and microservices development.
• Experience designing distributed event-driven systems and asynchronous architectures.
• Experience building enterprise integration solutions using Kafka MQ Event Hubs or similar messaging technologies.
• Experience with Agentic AI architectures AI orchestration frameworks MCP and LLM-enabled applications.
• Strong understanding of software architecture system design scalability resiliency and security principles.
• Experience implementing CI/CD pipelines automated testing and DevOps practices.
• Experience working with Linux shell scripting containers and cloud-native environments.
• Strong stakeholder management communication and leadership skills.

Preferred Skills:

• Experience with GenAI LLM platforms RAG architectures AI agents and prompt orchestration.
• Familiarity with AI governance model risk management controls and auditability frameworks.
• Experience with Kubernetes OpenShift Docker and cloud platforms.
• Banking risk management regulatory or financial services experience.
• Knowledge of capital markets and financial products.

Required Experience:

IC