Senior Python Developer
Offre en anglaisDesign and maintain secure Python microservices and APIs while modernizing data engineering solutions. Collaborate with cross-functional teams to translate complex requirements into production-ready, scalable services.
- Hybride
- Toronto, ON
- Publié 24 août 2026
- Postuler avant le 23 sept. 2026
- 1 poste
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Résumé du poste
Job title: Senior Python Developer Location: Toronto, ON (4 days onsite) Contract Duration: 1 year 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. Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status. Dexian will on request provide accommodation for disabilities to support your participation in all aspects of Recruitment, Assessment and selection process
Ce que vous ferez
Design and maintain secure Python microservices and APIs while modernizing data engineering solutions. Collaborate with cross-functional teams to translate complex requirements into production-ready, scalable services.
Exigences
Requires a university degree in a technical field and over 10 years of software engineering experience with a focus on Python. Must have proven expertise in building microservices and data pipelines using Azure and Kubernetes ecosystems.
Compétences indiquées
- KubernetesSouhaitée
- SQLSouhaitée
- API RESTSouhaitée
- RedisSouhaitée
- DockerSouhaitée
- PythonSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Python
- FastAPI
- REST
- gRPC
- Docker
- Kubernetes
- Redis
- Kafka
- PySpark
- Azure Databricks
- Delta Lake
- Azure Data Factory
- Airflow
- Azure SQL
- Unity Catalog
- SQL
Domaines d’emploi
- Software
- Technology
- Data & Analytics
- Engineering
- Finance & Accounting
Renseignements supplémentaires
- Formation minimale
- Baccalauréat
- Expérience minimale
- 10+ ans
- Postuler avant le
- 23 sept. 2026
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Présence au bureau
- 4 jours par semaine
- Niveau d’expérience
- Mid-Senior level
- Mode de candidature
- La candidature directe est offerte