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September 14, 2026
Python Developer
Senior
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Quick Facts
- Contract: 12+ months (potential conversion)
Description
Seeking a Senior Python Engineer to design, develop, and support scalable, secure enterprise applications and platforms using Python, microservices, APIs, event-driven architectures, and emerging AI technologies. The role focuses on agentic AI, MCP integrations, AI/LLM-enabled applications, and distributed systems, working closely with architecture, data, infrastructure, and business teams.
Responsibilities
- Design, develop, test, and support Python-based applications, services, and platforms
- Build and maintain REST APIs, microservices, and event-driven/asynchronous services
- Develop agentic AI workflows, AI orchestration solutions, MCP integrations, and LLM-enabled applications
- Integrate AI services with enterprise applications, data platforms, and business systems
- Implement scalable, resilient, secure, and reusable solutions following enterprise architecture standards
- Work with Kafka, MQ, or similar messaging/streaming technologies
- Implement CI/CD, automated testing, DevOps/DevSecOps, monitoring, logging, observability, and operational controls
- Support cloud-native platforms, containers, and distributed application environments
- Ensure appropriate security, governance, risk, auditability, and compliance for enterprise and AI-enabled solutions
Requirements
- Strong hands-on experience with Python, FastAPI/Flask, REST APIs, and microservices
- Experience with distributed, event-driven, and asynchronous architectures
- Strong SQL and relational database experience
- Experience with CI/CD, automated testing, Git/source control, Linux, containers, and cloud-native environments
Preferred Qualifications
- Experience with agentic AI, GenAI, LLMs, MCP, AI orchestration, RAG, or prompt engineering
- Experience with Kafka/MQ, PySpark, Databricks, Kubernetes/OpenShift, Docker, or cloud platforms
- Knowledge of data engineering, ELT/ETL, data modeling, data warehousing, Data Mesh, or data federation
- Experience with AI governance, model risk, observability, security, and auditability
- Banking, financial services, risk management, or capital markets experience preferred
Benefits
- 12+ months contract (potential conversion)
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