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Browse Open JobsMLOps Engineer (Relocation to Serbia)
Summary by AIEngineer.careers
MLOps Engineer (Relocation to Serbia) is a MLOps Engineer role (contract). with Datadog. in REMOTE, WORLDWIDE. Compensation shown: $32K–$55K (est.). Imported listing (source: careerium.unaux.com). Apply on the employer's site (careerium.unaux.com).
Imported listing (source: careerium.unaux.com) · Apply on careerium.unaux.com
REMOTE · WORLDWIDE
$32K–$55K (est.)
Contract
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from careerium.unaux.com
Datadog is seeking an MLOps Engineer to build and operate their internal AI platform, enabling developers to ship LLM-powered services faster. Responsibilities include managing Kubernetes-based AI infrastructure, implementing CI/CD with Terraform, supporting LLM workflows like RAG and agentic patterns, and improving platform reliability and observability. The role is remote within Europe (Croatia, Poland, Portugal, Serbia) and requires strong hands-on experience with Kubernetes, Terraform, and Python.
Responsibilities
- Build and operate the AI platform infrastructure enabling developers to ship LLM-based services faster.
- Implement and maintain Kubernetes-based runtime environments (incl. AKS) for AI workloads.
- Manage infrastructure as code with Terraform (modules, environments, CI/CD automation).
- Support LLM workflows: RAG, agents, prompt experimentation, evaluations, and deployment patterns.
- Integrate and operate tooling such as Azure AI Foundry, LiteLLM, Langfuse, MLflow.
- Orchestrate pipelines using Kubeflow Pipelines and/or Argo Workflows (build, deploy, evaluate).
- Improve platform reliability and observability (monitoring, logging, tracing, cost/perf signals).
- Collaborate closely with developers to streamline DX (APIs, templates, docs, golden paths, automation).
Requirements
Datadog
New York · US · 7607+ employees
Datadog is a cloud monitoring and security platform that provides end-to-end visibility into the health and performance of IT infrastructure and applications. It helps DevOps and security teams monitor, troubleshoot, and optimize their systems.
