Python Developer

Location: Toronto, ON

Onsite Flexibility: Hybrid - 4 days per week onsite, 1 day work from home

• Position Type: Contract
• Contract Duration: 1 year
• Shift / Schedule: Monday to Friday, core business hours
• Travel Requirements: Not required

Our technology team builds and supports modern engineering capabilities that help deliver secure, scalable, and resilient solutions for critical business platforms. We focus on cloud-native microservices, API enablement, data platform modernization, automation, and operational excellence. You will work with experienced engineers, platform partners, security teams, and business stakeholders to create reusable services and governed platform capabilities that improve how the organization integrates systems, processes data, and delivers technology outcomes.

• Build scalable services: Design, develop, and maintain secure Python microservices and APIs using FastAPI, REST/gRPC, Docker, Kubernetes, Redis, and Kafka.
• Connect platforms and data: Deliver RESTful APIs, microservice APIs, internal platform APIs, data ingestion APIs, event-driven APIs, batch processing APIs, and authentication/authorization APIs.
• Modernize data engineering: Build and optimize data solutions using Python, PySpark, Azure Databricks, Delta Lake, ADLS, Azure Data Factory, Airflow, Azure SQL, Unity Catalog, and SQL.
• Improve engineering quality: Create reusable frameworks, automation, orchestration patterns, documentation, and testing practices that improve delivery quality and reliability.
• Partner across teams: Work with technology, business, security, and platform partners to translate complex requirements into practical, production-ready solutions.
• Support operational excellence: Troubleshoot issues, tune performance, support releases, and contribute to monitoring, knowledge transfer, and production readiness activities.

• 10 years of software engineering experience, including strong hands-on Python development in enterprise environments.

• University degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
• Experience designing and delivering Python-based microservices, APIs, and platform capabilities using FastAPI, REST/gRPC, Docker, Kubernetes, Redis, and Kafka.
• Experience building data engineering solutions using Python, PySpark, Azure Databricks, Delta Lake, ADLS, Azure Data Factory, Airflow, Azure SQL, Unity Catalog, and SQL.
• Experience delivering secure, production-ready solutions that meet enterprise standards for authentication, authorization, testing, monitoring, compliance, and operational reliability.

• Experience designing scalable services or data pipelines that process high-volume enterprise workloads.
• Experience building reusable internal frameworks, shared services, or internal developer platform capabilities.
• Experience using AI-assisted engineering practices to improve development, testing, documentation, or productivity.
• Strong communication skills with the ability to work effectively across engineering, platform, security, and business teams.

• University degree in Computer Science, Engineering, Mathematics, or a related technical discipline.

• Medical, Vision, and Dental Insurance Plans
• 401k Retirement Fund

This client is a leading financial services and banking institution operating across Canada and internationally, with a large and collaborative technology organization. The firm employs thousands of professionals - including solutions developers, software engineers, data platform specialists, and IT technology professionals - who work in hybrid environments to deliver secure, scalable, and resilient banking platforms. With a strong emphasis on cloud-native engineering, regulatory compliance, and agile collaboration, the organization offers long-term engagement potential for contractors contributing to critical business platform modernization initiatives.

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Job Number: 26-12211 Industry: Software Engineering