Cloud Engineering Engineer 2

Location: Kanata, ON (Hybrid / 4 days in the office)

Duration: 12 Months

Introduction

We are seeking a skilled professional to support the design, development, testing, and deployment of an enterprise platform that integrates vehicle telemetry, diagnostic information, engineering artifacts, manufacturing evidence, service data, and software lifecycle signals. This role will work within a cross-functional Agile team to build cloud-native services, data integrations, user-facing capabilities, and platform observability.

Required Skills & Qualifications

• Experience with GCP, API, REST APIs, JavaScript, SQL, AWS, Kubernetes, Docker, APIGEE, Agile Software Development, Software Development Lifecycle, GitHub
• Ability to deploy or support basic applications using AWS services such as S3, EC2 or RDS
• Experience with GCP cloud services such as Compute Engine, Cloud Storage, BigQuery
• Understanding of API communication and development of API endpoints
• Proficiency in Java, JavaScript, and SQL for application development
• Hands-on experience with Kubernetes and Docker for container management
• Experience with Agile Software Development practices
• Bachelor's degree in computer science, software engineering, information technology, or a related discipline, or equivalent practical experience
• 2-5 years of software development experience
• Prior work experience at client or in client's Industry

Preferred Skills & Qualifications

• Understanding of Artificial Intelligence, Expert Systems, and Machine Learning
• Experience with cloud/on-prem software application development using C
• Familiarity with event-driven architecture, asynchronous processing, and data pipelines

Day-to-Day Responsibilities

• Design, develop, test, and maintain platform components under the guidance of senior engineers
• Build and integrate REST APIs, backend services, data-processing functions, and event-driven workflows
• Support the ingestion, normalization, validation, storage, and retrieval of telemetry and diagnostic information
• Contribute to web-based interfaces and dashboards
• Implement logging, metrics, distributed tracing, error handling, and health checks for platform services
• Write unit, integration, API, and automated regression tests
• Participate in code reviews and address feedback related to maintainability, performance, security, and coding standards
• Support CI/CD pipelines, containerized deployments, configuration management, and cloud environment troubleshooting
• Assist with the integration of AI services through governed APIs and standardized interface contracts
• Create and maintain technical documentation

Company Benefits & Culture

• Comprehensive health and wellness benefits
• Opportunities for professional growth and development
• Collaborative and inclusive company culture

For immediate consideration please click APPLY to begin the screening process with Alex.