We are recruiting an experienced Cloud Engineer to join our team to support our client in the automotive industry. NOTE: Hybrid
RESPONSIBILITIES: Design, develop, test, and maintain TOP platform components under the guidance of senior engineers
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 the ingestion, normalization, validation, storage, and retrieval of telemetry and diagnostic information
Contribute to web-based interfaces and dashboards used to present diagnostic, operational, AI-performance, and platform-health information
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
Implement role-based access controls and follow enterprise security, privacy, data-retention, and auditability requirements
Create and maintain technical documentation, including API specifications, deployment instructions, support procedures, and design notes
Participate in backlog refinement, estimation, sprint planning, demonstrations, and retrospectives
Investigate defects and operational issues using logs, metrics, traces, and other platform evidence
Identify technical risks, dependencies, and blockers and communicate them promptly to the delivery team
support the design, development, testing, and deployment of the Telemetry & Observability Platform (TOP)
Work within a cross-functional Agile team to build cloud-native services, data integrations, user-facing capabilities, and platform observability
Progressively take ownership of well-defined platform components and features
Designing, building and deploying cloud-based infrastructure and managing services to achieve scalability, flexibility and cost efficiencies for private and public cloud systems that support the business
Creating opinionated cloud environments and systems like Storage as a service, Infrastructure as a service etc. that form building blocks used by other enterprise and product teams
Deploy or support basic applications using AWS services such as S3, EC2 or RDS
2. GCP Use GCP 2.0 or GCP 3.0 cloud services such as Compute Engine, Cloud Storage, BigQuery to run an application or work with data




Create or use HTTP endpoints (for eg. Using GET requests or creating a record with a POST request)
Write and maintain Java code for application features, business logic, and error handling
Write basic scripts or application functionality, such as validating form input or updating a webpage/UI
Write queries to retrieve, insert, update, and summarize data in a relational database
Deploy and manage containerized apps such as checking pod status or updating a deployment
Build and run a container for an application, so it behaves consistently across dev and test environments
Use Apigee to publish and manage APIs, configure an API proxy, setup authentication, apply policies such as rate limits and monitor API traffic
Participate in sprint planning, daily stand-ups, reviews, and retrospectives, and deliver work in small increments
REQUIRED SKILLS & QUALIFICATIONS: Bachelors degree in computer science, software engineering, information technology from an accredited university or a WES-evaluated equivalent
2–5 Yrs: C++, Machine Learning / MLOps basics, Software Requirements Analysis
4–7 Yrs: Full-stack UI (Angular, HTML, CSS)
7+ Yrs: Advanced Data Modeling, Data Science principles
Programming experience in one or more relevant languages, such as: Python Java JavaScript or TypeScript
Experience developing or consuming REST APIs and working with structured data formats such as JSON
Understanding of object-oriented programming, software design principles, and common application architecture patterns
Experience with relational databases, SQL, and basic data modeling
Experience using Git-based source control and participating in peer code reviews
Familiarity with automated unit and integration testing
Basic understanding of cloud computing, containerization, and CI/CD practices
Ability to diagnose software issues using application logs and debugging tools
Strong written and verbal communication skills
Ability to work collaboratively with product owners, architects, engineers, data specialists, testers, and operations teams.
Understand how an application communicates with another system through requests/responses and be capable of developing API endpoints for applications as well as invoking them
Understand the stages of software delivery, from requirements and design through development, testing,



deployment, and maintenance
Use GitHub to access a repository, create a branch, commit changes, open a pull request, and respond to review feedback
Build or support a basic Java application or REST service using Spring Boot
PREFERRED SKILLS & QUALIFICATIONS: Masters Degree computer science, software engineering, information technology from an accredited university or a WES-evaluated equivalent
Understand agentic AI workflows, data pipeline build and processing, AI evaluation strategies using RAGAS, understanding of RAG and vectorization, as well as LLM orchestration.
Experience with Google Cloud Platform services such as Google Kubernetes Engine, Pub/Sub, Cloud Storage, or Cloud SQL
Experience with Docker, Kubernetes, Terraform, or similar cloud-native technologies
Experience developing frontend applications using React and TypeScript. Familiarity with event-driven architecture, asynchronous processing, and data pipelines
Experience implementing platform observability using logs, metrics, traces, dashboards, and alerting
Familiarity with OpenTelemetry or comparable observability standards and tooling
Experience with API specifications and tools such as OpenAPI or Swagger
Familiarity with authentication, authorization, role-based access control, and secure coding practices
Experience integrating AI or machine-learning services through APIs
Familiarity with prompt management, AI response validation, confidence scoring, or human-feedback capture
Experience working with telemetry, automotive diagnostics, connected-vehicle data, manufacturing information, or engineering lifecycle systems
General knowledge of diagnostic concepts such as DTCs, CAN, UDS, or DoIP is beneficial
Experience working in an Agile or Scrum delivery model
Experience with Data Modeling & Data Science
COMPENSATION & BENEFITS: $52.00 - $56.00/hour (depending on experience)
Paid Benefits after 90 days (individual and family) – extended medical, out-of-country coverage, dental etc.
Pension eligibility, with employer match, after 1 full year of work (open enrollment every October)
MEDA offers an excellent referral bonus. Outstanding candidates know great candidates.MEDA Limited is an equal opportunity employer and does not discriminate in employment on the basis of any of the protected reasons as described in the Ontario Human Rights Code.
We are committed to providing accommodation for persons with disabilities, as described in the Accessibility for Ontarians with Disabilities Act, 2005, reasonable accommodation requests will be reviewed and granted to those that request assistance during our hiring process.

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📌 Cloud Engineer (Quebec City)
🏢 Meda Engineering & Technical Services
📍 Quebec City