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DexianVerified Job Source

Senior Python Developer

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.

  • Hybrid
  • Toronto, ON
  • Posted Aug 24, 2026
  • Apply by Sep 23, 2026
  • 1 position

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Job summary

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

What you’ll do

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.

Requirements

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.

Listed skills

  • KubernetesPreferred
  • SQLPreferred
  • REST APIsPreferred
  • RedisPreferred
  • DockerPreferred
  • PythonPreferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Python
  • FastAPI
  • REST
  • gRPC
  • Docker
  • Kubernetes
  • Redis
  • Kafka
  • PySpark
  • Azure Databricks
  • Delta Lake
  • Azure Data Factory
  • Airflow
  • Azure SQL
  • Unity Catalog
  • SQL

Job areas

  • Software
  • Technology
  • Data & Analytics
  • Engineering
  • Finance & Accounting

Additional details

Minimum education
Bachelor’s degree
Minimum experience
10+ years
Apply by
Sep 23, 2026
Posting language
English
Working hours
40 hours per week
Office presence
4 days per week
Seniority
Mid-Senior level
Application method
Direct apply is available