Our banking client is seeking a Senior Python Engineer (10+ years of experience) to build scalable Python microservices and data engineering solutions using FastAPI, PySpark, Azure Databricks, Docker, Kubernetes, Redis, and Kafka Join a technology team delivering secure, scalable, and resilient engineering capabilities supporting critical business platforms within the banking sector.

This role focuses on Python microservices, API enablement, vendor integration, and modern data platform engineering using cloud-native and event-driven technologies.

The position offers exposure to enterprise-scale platform modernization initiatives and collaboration across engineering, security, platform, and business teams.

This is a long-term contract prospect supporting a large-scale project environment.

Contract, Toronto, Hybrid, 4 days per week onsite 12 months 79 Wellington Street West Must Haves 10+ years in software engineering with hands-on Python development in enterprise environments Python microservices , FastAPI , REST/gRPC , Docker , Kubernetes , Redis , and Kafka PySpark , Azure Databricks , Delta Lake , ADLS , Azure Data Factory , Airflow , Azure SQL , Unity Catalog , and SQL Authentication , authorization , testing , monitoring , compliance ,



and operational reliability for production-ready enterprise solutions University degree in Computer Science, Engineering, Mathematics, or a related technical discipline Nice to Have Scalable services or data pipelines processing high-volume enterprise workloads Reusable internal frameworks, shared services, or internal developer platform capabilities AI-assisted engineering practices supporting development, testing, documentation, or productivity Collaboration across engineering, platform, security, and business teams Responsibilities Design, develop, and maintain secure Python microservices and APIs Deliver RESTful APIs, microservice APIs, internal platform APIs, and data ingestion APIs Build and optimize data engineering solutions using Python and Azure data technologies Create reusable frameworks, automation, orchestration patterns, documentation, and testing practices Translate complex requirements into production-ready solutions with technology, security, and business partners Troubleshoot issues, tune performance, and support releases Contribute to monitoring, knowledge transfer, and production readiness activities

📌 Senior Python Engineer (10+ years of experience) to build scalable Python microservices and data engineering solutions using FastAPI, PySpark, Azure Databricks, Docker, Kubernetes, Redis, and Kafka 58527 (Toronto)
🏢 S.i. Systems
📍 Toronto