Cloud Engineer

Cloud Engineer #1064903

Position

Description:

Employees in this job function will support the design, development, testing, and deployment of the Telemetry & Observability Platform (TOP). TOP is an enterprise platform that integrates vehicle telemetry, diagnostic information, engineering artifacts, manufacturing evidence, service data, and software lifecycle signals to provide actionable diagnostic and software-health insights. This role will work within a cross-functional Agile team to build cloud-native services, data integrations, user-facing capabilities, and platform observability.

The developer will receive technical direction from senior engineers and architects while progressively taking ownership of well-defined platform components and features. Employees in this job function are responsible for designing, building and deploying cloud-based infrastructure and managed services to achieve scalability, flexibility and cost efficiencies for private and public cloud systems that support the business. They are focused on created 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.

• AWS, GCP, API, REST APIs, Java, JavaScript, SQL, Kubernetes, Docker, AIPGEE, Agile Software Development, Software Development Lifecycle, Git Hub, Spring Boot
• AWS
  - 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, Big Query to run an application or work with data.
• API
  - 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.
• REST APIs
  - Create or use HTTP endpoints (for eg. Using GET requests or creating a record with a POST request)
• Java
  - Write and maintain Java code for application features, business logic, and error handling.
• Java Script
  - Write basic scripts or application functionality, such as validating form input or updating a webpage/UI.
• SQL
  - Write queries to retrieve, insert, update, and summarize data in a relational database.
• Kubernetes
  - Deploy and manage containerized apps such as checking pod status or updating a deployment.
• Docker
  - Build and run a container for an application, so it behaves consistently across dev and test environments.
• APIGEE
  - Use Apigee to publish and manage APIs, configure an API proxy, setup authentication, apply policies such as rate limits and monitor API traffic.
• Agile Software Development
  - Participate in sprint planning, daily stand-ups, reviews, and retrospectives, and deliver work in small increments.
• Software Development Lifecycle
  - Understand the stages of software delivery, from requirements and design through development, testing, deployment, and maintenance.
• Git Hub
  - Use Git Hub to access a repository, create a branch, commit changes, open a pull request, and respond to review feedback.
• Spring Boot
  - Build or support a basic Java application or REST service using Spring Boot.

• Artificial Intelligence & Expert Systems
  - Have an understanding of agentic AI workflows, data pipeline build and processing, AI evaluation strategies using RAGAS, understanding of RAG and vectorization, as well as LLM orchestration.

• Bachelor's degree in computer science, software engineering, information technology, or a related discipline, or equivalent practical experience.
• Approximately 2-5 years of software development experience.
• Programming experience in one or more relevant languages, such as:
  Python Java JavaScript or Type Script 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.

Preferred Qualifications:

• Experience with Google Cloud…