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

- 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 Perks 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. Great 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.

📌 Cloud Engineer (Montreal)
🏢 MEDA Engineering u0026 Technical Services
📍 Montreal