Senior Backend Engineer, .NET & Python

Global Fleet Management•Burnaby, BC

56d•$110,000 - $145,000•Onsite

About The Position

PosiTrace builds a real-time GPS fleet tracking SaaS platform -- vehicle location, telemetry processing, reporting, dispatching, and fleet management tools for SMB and enterprise customers across Canada and Mexico. Our backend processes millions of GPS data points daily across multiple receiver protocols. We're migrating toward MACH (Microservices, API-first, Cloud-native, Headless) and need a senior backend engineer to co-own that evolution. This is a full-time, on-site position at our Burnaby, BC headquarters. Not available for remote or hybrid.

Requirements

Production experience with .NET 8 / C# -- building, testing, and deploying backend services
Production experience with Python -- FastAPI or Flask, async task processing, data manipulation (Pandas, Dask)
Strong MySQL skills: query optimization, indexing strategies, schema design for high-load systems
Experience with at least one of: PostgreSQL, Elasticsearch, MongoDB, BigQuery
Hands-on Docker + Kubernetes (GKE preferred): writing Dockerfiles, managing deployments, debugging pod issues, reading container logs
Experience with RabbitMQ or similar message brokers and async job queues
Track record of designing and implementing microservices -- service decomposition, inter-service communication, API versioning, backward compatibility
Familiarity with Redis for caching and session management
Experience with Git/GitFlow branching workflow and BitBucket or similar platforms
Ability to write clear technical documentation and communicate tradeoffs to both engineers and non-technical stakeholders
Strong written and spoken English

Nice To Haves

Experience with Ruby on Rails; understanding Rails conventions and ActiveRecord is critical for designing migration paths
Experience with Go
MongoDB experience
Experience with Elixir
Background in IoT / telematics: GPS device protocols, high-throughput telemetry ingestion, real-time data pipelines
Experience with AI/ML integration: MCP servers, LLM API orchestration
WebSocket experience for real-time data delivery
Experience with Angular frontend; helpful for full-stack debugging
SOC2 compliance experience
Monitoring and observability: Zabbix, GrayLog, GCP Cloud Monitoring
API documentation practices (Swagger/OpenAPI)

Responsibilities

Build and maintain backend services in .NET 8 / C# and Python (FastAPI, Dramatiq workers, Dask data pipelines)
Design microservice boundaries, API contracts, and data flows as we decompose a monolithic Rails application into independent services
Work directly on core platform systems: GPS telemetry ingestion, history processing, reporting engine, dispatching services, billing and subscription management
Write and review production-grade, test-driven code; enforce quality through code reviews across .NET and Python codebases
Design and optimize MySQL queries and schemas for high-volume transactional workloads (10M+ row tables, complex joins across billing/device/contract hierarchies)
Build and consume RESTful APIs; design webhook delivery systems and event-driven integrations
Deploy to production via BitBucket Pipelines, Docker, and Kubernetes (GKE) with zero-downtime rolling updates
Produce architecture documentation: system diagrams, data flow diagrams, ADRs in Confluence
Manage async job processing with RabbitMQ and Dramatiq/Delayed Job workers
Operate within Google Cloud Platform: GKE, Cloud SQL, Cloud Storage, Secret Manager, BigQuery
Collaborate with the Rails team, DevOps, and QA; work with the Engineering Team Lead and VP of Engineering on technical direction
Estimate tasks, communicate blockers, and participate in sprint planning using Jira and GitFlow branching

Benefits

Direct architectural impact on a multi-service SaaS platform processing real-time GPS data at scale
State-of-the-art hardware, JetBrains licenses (Rider, PyCharm, RubyMine)
Paid vacation, holidays, and sick days
Architect-track career progression
Work across the full stack: .NET microservices, Python data pipelines, Rails, GKE infrastructure
Individualized development plan and continuous learning opportunities

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