AI Platform Engineer
M
Modus CreateDigital Consulting
Brazil; Colombia; Costa Rica; Mexico, Overlap with client business hours daily is expected.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 3–8 years hands-on platform, infrastructure, DevOps, or cloud engineering
- Required Skills
- AWSDockerPythonGCPGitKubernetesAzureCI/CDTerraformLLM
Requirements
- 3–8 years hands-on experience in platform, infrastructure, DevOps, or cloud engineering.
- Strong proficiency building and supporting in at least one major cloud platform (AWS, Azure, or GCP).
- Deep experience with infrastructure-as-code tools such as Terraform, CloudFormation, or Pulumi.
- Solid understanding of Kubernetes, Docker, and CI/CD pipeline design.
- Experience with LLM APIs, vector databases, or AI model serving.
- Understanding of AI security concepts including prompt injection, data governance, and model monitoring.
- Hands-on experience with deployment automation, observability systems, and incident response.
- Scripting proficiency in Python, Bash, or Go.
- Linux/Unix administration fundamentals.
- Experience with version control via Git and collaboration workflows.
- Ability to explain technical tradeoffs to both technical and non-technical audiences.
Responsibilities
- Deploy, operate, and secure AI infrastructure such as LLM serving, vector stores, and agentic systems.
- Design, implement, and operate cloud architectures across development, staging, and production environments.
- Build and maintain deployment pipelines, CI/CD automation, and infrastructure-as-code.
- Implement observability systems including metrics, logging, and tracing for incident response.
- Manage cloud infrastructure provisioning, security, and compliance while optimizing for reliability and cost.
- Collaborate with development, DevOps, and security teams to drive architectural standards and best practices.
- Troubleshoot platform issues and participate in incident response.
- Create technical documentation, runbooks, and architecture guides.
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