Design, develop, test, and support Python-based applications and services.
Build and maintain REST APIs, microservices, and event-driven integrations.
Contribute to development of Agentic AI workflows and MCP-enabled application components.
Implement integrations between AI models, enterprise systems, and business applications.
Develop reusable services and components following enterprise engineering standards.
Participate in the full software development lifecycle, including design, coding, testing, deployment, and support.
Implement monitoring, logging, and operational controls to ensure service reliability.
Contribute to automation, CI/CD pipelines, and testing frameworks.
Work with messaging and event-streaming technologies to support asynchronous processing.
Collaborate with business and technology teams to analyze requirements and develop technical solutions.
Support issue resolution, performance tuning, and application enhancements.
Document technical designs, implementation details, and operational procedures.
Follow established security, governance, and risk management standards.
Role 1: Senior
Qualifications
Bachelor's degree in Computer Science, Engineering, Information Systems, or related STEM field.
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.
Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related STEM field.
2-5 years of experience developing applications using Python.
Experience with RESTful APIs and microservices development.
Familiarity with event-driven architecture and messaging platforms.
Experience with FastAPI, Flask, or similar Python frameworks.
Knowledge of SQL and database technologies.
Familiarity with source control, CI/CD pipelines, and automated testing.
Experience working in Linux environments.
Strong analytical and problem-solving skills.
Ability to work independently and collaboratively within cross-functional teams.
Preferred Skills Exposure to Agentic AI frameworks, MCP, LLMs, and GenAI solutions.
Familiarity with Kafka, MQ, or event-streaming platforms.
Experience with cloud platforms and container technologies.
Banking, risk management, or financial services experience.
Understanding of distributed systems, observability, and platform monitoring.
Education Bachelor's degree/University degree or equivalent experience in a STEM-related field. Advanced degree preferred.
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or continue with email
Build and maintain REST APIs, microservices, and event-driven integrations.
Contribute to development of Agentic AI workflows and MCP-enabled application components.
Implement integrations between AI models, enterprise systems, and business applications.
Develop reusable services and components following enterprise engineering standards.
Participate in the full software development lifecycle, including design, coding, testing, deployment, and support.
Implement monitoring, logging, and operational controls to ensure service reliability.
Contribute to automation, CI/CD pipelines, and testing frameworks.
Work with messaging and event-streaming technologies to support asynchronous processing.
Collaborate with business and technology teams to analyze requirements and develop technical solutions.
Support issue resolution, performance tuning, and application enhancements.
Document technical designs, implementation details, and operational procedures.
Follow established security, governance, and risk management standards.
Role 1: Senior
Qualifications
Bachelor's degree in Computer Science, Engineering, Information Systems, or related STEM field.
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.
Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related STEM field.
2-5 years of experience developing applications using Python.
Experience with RESTful APIs and microservices development.
Familiarity with event-driven architecture and messaging platforms.
Experience with FastAPI, Flask, or similar Python frameworks.
Knowledge of SQL and database technologies.
Familiarity with source control, CI/CD pipelines, and automated testing.
Experience working in Linux environments.
Strong analytical and problem-solving skills.
Ability to work independently and collaboratively within cross-functional teams.
Preferred Skills Exposure to Agentic AI frameworks, MCP, LLMs, and GenAI solutions.
Familiarity with Kafka, MQ, or event-streaming platforms.
Experience with cloud platforms and container technologies.
Banking, risk management, or financial services experience.
Understanding of distributed systems, observability, and platform monitoring.
Education Bachelor's degree/University degree or equivalent experience in a STEM-related field. Advanced degree preferred.
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