Senior Integration Engineer

Highbrow Technology Inc — Canada · Posted ~2 hours ago

Senior Onsite

Skills

Python REST APIs Azure FastAPI AsyncIO SQL databases NoSQL databases API design OAuth 2.0 JWT REST API PostgreSQL MySQL MongoDB

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Summary ✨ AI‑Generated

A senior integration engineering position focused on building low-latency backend services, APIs, data pipelines, and cloud-based solutions. The role requires strong Python expertise and experience with modern integration patterns.

Highlights

Senior integration role focused on backend APIs, cloud systems, real-time data pipelines, and modern database architectures.

Description

Role: Integration Engineer Location: Toronto, ON Canada (Onsite) Relevant Experience: 7+ 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. 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). Interested please share your Profiles to Ganapathikumar.m@highbrowtechnology.com