Sr Python Developer
- Toronto, ON, Canada
On-site
$86 CAD / hour
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Job details
- Pay
- $86 CAD / hour
- Workplace
- On-site
- Experience
- 10+ years of software engineering experience, including strong hands-on Python development in enterprise environments.
- Posting language
- English
- Posted
Original job description
Job Title : Senior Python Developer
Duration : 12 Months
Location: Onsite. 4 Days. Toronto, ON.
Summary:
- 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.
- 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.
Team Size/Culture: 50
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.
Applicant Notices & Disclaimers
- For information on benefits, equal opportunity employment, and location-specific applicant notices, click here
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. The pay rate for this position is C$86.00/hr.
More about this job
Responsibilities
The Senior Python Developer at SPECTRAFORCE will design, build and maintain Python microservices, APIs and data pipelines. They will also improve engineering quality, work with partner teams and support production operations.
Requirements
Candidates need a university degree in a technical field and 10+ years of software engineering experience with hands-on Python. They also need experience with FastAPI, Docker, Kubernetes, Kafka, Azure Databricks and secure, production-ready enterprise solutions.
Skills
- Python
- FastAPI
- REST APIs
- gRPC
- Docker
- Kubernetes
- Redis
- Kafka
- PySpark
- Azure Databricks
- Delta Lake
- Azure Data Lake Storage
- Azure Data Factory
- Apache Airflow
- Azure SQL
- Unity Catalog
- SQL
- Microservices architecture
- API design
- Authentication and authorization
- Automated testing
- Performance tuning
- Monitoring
- Technical documentation
- Cross-team collaboration
Categories
- Software
- Technology
- Data & Analytics
Keywords
- Python
- FastAPI
- REST
- gRPC
- Docker
- Kubernetes
- Redis
- Kafka
- PySpark
- Azure Databricks
- Delta Lake
- ADLS
- Azure Data Factory
- Airflow
- Azure SQL
- Unity Catalog
- SQL
- Microservices
- API development
- Data engineering
Seniority
Senior
Tools
- Python
- FastAPI
- Docker
- Kubernetes
- Redis
- Kafka
- PySpark
- Azure Databricks
- Delta Lake
- Azure Data Factory
Languages
- English
Fields of study
- Computer Science
- Engineering
- Mathematics