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
