Senior Cloud Engineer

Cloud Engineering Senior Engineer

Location: Kanata, ON (Hybrid 4 days onsite)

Schedule: Monday-Friday, 8:00 AM - 5:00 PM

Duration: 12 month contract

Target Start Date: October 5, 2026

Job Description

We are seeking a Cloud Engineering Senior Engineer to support the design, development, testing, and deployment of the Telemetry & Observability Platform (TOP). TOP is an enterprise platform that integrates vehicle telemetry, diagnostic information, engineering artifacts, manufacturing evidence, service data, and software lifecycle signals to provide actionable diagnostic and software-health insights.

The successful candidate will work within a cross-functional Agile team to build cloud-native services, data integrations, user-facing capabilities, and platform observability solutions while contributing to the ongoing evolution of the platform.

Key Responsibilities

• Design, develop, test, and maintain TOP platform components.
• Build and integrate REST APIs, backend services, data-processing functions, and event-driven workflows.
• Develop integrations with approved vehicle, service, engineering, manufacturing, and software-factory data sources.
• Support ingestion, normalization, validation, storage, and retrieval of telemetry and diagnostic information.
• Develop dashboards and interfaces used to present diagnostic, operational, AI-performance, and platform-health information.
• Implement logging, metrics, distributed tracing, error handling, and health monitoring capabilities.
• Write unit, integration, API, and automated regression tests.
• Participate in code reviews and Agile ceremonies.
• Support CI/CD pipelines, containerized deployments, and cloud-environment troubleshooting.
• Assist with integration of AI services through governed APIs and standardized interfaces.
• Implement role-based access controls and follow enterprise security, privacy, and auditability requirements.
• Create and maintain technical documentation, API specifications, deployment procedures, and design documentation.

Vacancy Status

This posting is for a currently vacant role, and the successful candidate will be hired on into an existing open position.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent practical experience.
• Software development experience.
• Experience with:
• AWS
• Google Cloud Platform (GCP)
• Java
• JavaScript
• SQL
• Kubernetes
• Docker
• Apigee
• REST APIs
• Spring Boot
• GitHub
• Agile Software Development
• Software Development Lifecycle (SDLC)
• Experience developing or consuming REST APIs and working with JSON.
• Experience with relational databases and data modeling.
• Familiarity with cloud computing, containerization, CI/CD practices, and automated testing.
• Strong written and verbal communication skills.

Preferred Qualifications

• Experience with Google Kubernetes Engine, Pub/Sub, Cloud Storage, or Cloud SQL.
• Experience with Terraform or similar cloud-native technologies.
• Experience with React and TypeScript.
• Familiarity with event-driven architectures, data pipelines, and observability platforms.
• Knowledge of OpenTelemetry, OpenAPI, or Swagger.
• Experience integrating AI or machine-learning services through APIs.
• Understanding of agentic AI workflows, RAG, vectorization, LLM orchestration, and AI evaluation approaches.
• Experience with telemetry, connected vehicle data, manufacturing systems, or engineering lifecycle platforms.

Compensation

$30-60/hr

AI Disclosure

Artificial Intelligence tools are used to assist in screening and assessing applicants for this position