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 setting 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 <

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