Summary
✨ AI‑Generated
Looking for an experienced engineer to build low-latency backend services, real-time data pipelines, and cloud-based integrations. You will work with modern APIs and database architectures to deliver scalable solutions.
Highlights
Senior technical role focused on building high-performance integrations, real-time systems, and modern cloud-based solutions.
Description
Job Title:: Python Integration Engineer
Location: Toronto, ON Canada (Onsite)
Relevant Experience: 5+ Years
Hands-on Integration Engineer (Senior / Lead level) to build low-latency backend APIs, real-time message streams, and automated data pipelines.
The ideal candidate must excel in Python, REST APIs, Cloud (specifically Microsoft Azure), and modern Database architectures.
Key Screening Criteria (What to Look For)
Please use these primary filters when screening candidate resumes:
Core Technical Stack (Must-Haves)
• Python Backend Mastery: Look for 5+ years of experience in core Python using asynchronous frameworks like FastAPI or AsyncIO (Django REST/Flask are also good, but async experience is preferred).
• API Design & Standards: Proven experience designing and consuming REST APIs, implementing OpenAPI/Swagger documentation, and managing authentication standards (OAuth 2.0 / JWT).
• Databases (SQL & NoSQL): Experience with relational databases like PostgreSQL or MySQL plus NoSQL document stores (such as MongoDB, DynamoDB, or Azure Cosmos DB).
• Cloud Platform (Azure Preferred): Hands-on experience with Microsoft Azure (e.g., Azure Functions, Azure Service Bus, Event Grid, Azure DevOps) or strong AWS serverless experience.
• Containerization & DevOps: Practical experience with Docker containers and basic CI/CD pipeline automation (Azure DevOps, GitHub Actions, or Jenkins).
High-Value Differentiators (Bonus Points)
• Event Streaming & Messaging: Hands-on experience with message brokers like Apache Kafka, RabbitMQ, WebSockets, or Azure Service Bus.
• Data Transformation & Processing: Knowledge of data parsing using Pandas, PySpark, or NumPy, or experience mapping legacy payload formats (e.g., JSON, XML, XSLT, EDI).
• Platform Monitoring & Observability: Exposure to application monitoring and distributed tracing tools (e.g., Azure Monitor, CloudWatch, Prometheus, Grafana, or OpenTelemetry).
Thanks, and Regards
Anil Kumar | Technical Recruiter
Email: anil.k@ampstek.com
Desk: 6095361083
www.ampstek.com
