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TekStaff IT Solutions

Python Developer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 29, 2026
Experience: 10+ years of software engineering experience, including strong hands-on Python development in enterprise environments.
Posting language: English
Posted: Oct 30, 2026

Original job description

TekStaff's Client has a current vacancy for a Python Engineer/Application Developer

Duration : This is a 12 months contract located in Toronto, Ont /Hybrid

Job Description

SUMMARY OF THE ROLE:

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.

Required

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

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

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.

Preferred

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

TekStaff may use artificial intelligence (AI) tools as part of the applicant screening process. However, applications will also be reviewed by a member of our Recruitment team to ensure a fair and thorough assessment.

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More about this job

Responsibilities

Design, develop, and maintain secure Python microservices, APIs, and scalable data engineering solutions using cloud, container, and data-processing technologies. Improve engineering quality and operational reliability through reusable frameworks, automation, testing, documentation, performance tuning, and collaboration across technical and business teams.

Requirements

A university degree in Computer Science, Engineering, Mathematics, or a related technical discipline and 10 or more years of software engineering experience are required. Candidates need hands-on experience delivering enterprise Python microservices, APIs, and data engineering solutions, along with expertise in security, testing, monitoring, compliance, and operational reliability.

Skills

Python
FastAPI
REST APIs
gRPC
Microservices
Docker
Kubernetes
Redis
Kafka
PySpark
Azure Databricks
Delta Lake
Azure Data Lake Storage
Azure Data Factory
Apache Airflow
Azure SQL

Visa sponsorship

Not detected in the job text

Keywords

Python
FastAPI
REST
gRPC
Microservices
Docker
Kubernetes
Redis
Kafka
PySpark
Azure Databricks
Delta Lake
ADLS
Azure Data Factory
Airflow
Azure SQL
Unity Catalog
SQL
Data Engineering
API Development
Event-Driven Architecture
Batch Processing
Authentication
Authorization
Automation
Orchestration
Testing
Monitoring
Production Readiness
AI-Assisted Engineering

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