Cloud Developer Intern building cloud-native infrastructure and remote workflows for CM Labs’ Vortex Studio simulation platform. Developing APIs, deployment automation, orchestration, and simulation data pipelines.
Responsibilities
Investigate and prototype ways to deploy and operate Vortex Studio simulations in cloud environments
Develop APIs, services, command-line tools, or web applications to configure, launch, monitor, and control remote simulations
Build and improve automated deployment workflows using Docker, Kubernetes, and Infrastructure as Code
Develop workflows to collect, transport, store, and expose simulation data and results
Explore orchestration and elastic-scaling strategies for synthetic data generation, automated QA, engineering studies, and autonomy experiments
Evaluate the performance, scalability, reliability, and usability of proposed approaches
Document technical decisions, results, limitations, and recommendations
Work with experienced software developers and simulation specialists while contributing to the evolution of the Vortex Studio platform
Requirements
Background in software engineering, computer science, cloud computing, distributed systems, or a related technical field
Strong software development skills in Go, Python, or a similar language
Familiarity with Linux, containers, networking, and modern software deployment workflows
Ability to investigate technical problems independently and turn ideas into working prototypes
Interest in cloud infrastructure, distributed systems, simulation, or developer platforms
Strong English communication and collaboration skills
Experience with Docker, Kubernetes, Terraform, Pulumi, or similar Infrastructure as Code tools (asset)
Familiarity with Azure, AWS, or Google Cloud (asset)
Experience building REST/gRPC APIs, backend services, or web applications (asset)
Familiarity with data pipelines, object storage, streaming, observability, autoscaling, or distributed systems (asset)
Experience with CI/CD, automated testing, or large-scale compute workloads (asset)
Exposure to simulation, robotics, synthetic data generation, game engines, or engineering software (asset)
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