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, Java

Script, SQL, AWS, Kubernetes, Docker, APIGEE, Agile Software Development, Software Development Lifecycle, Git

Hub 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, Big

Query Understanding of API communication and development of API endpoints Proficiency in Java, Java

Script, 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 Perks & 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.

📌 Cloud Engineering Engineer 2 (Kanata)
🏢 Artech
📍 Kanata