Python Engineer

• 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.

• Bachelor’s 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.