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Devops Engineer

MD RafiiUnited StatesMIDPosted 11d ago
PythonFastAPIDockerKubernetesPostgresAzure/AKSAWS/EKSGCP/GKEvLLMKubernetesKServeKnativeDockerPodmanPostgreSQLObservabilityGitOpsPrometheusGrafanaOpenTelemetry
About the Role A leading Telecom customer is seeking a skilled DevOps Engineer to join their Data Platform team within the Chief Data Office. This Engineer will play a key role in building, operating, and scaling a production-grade AI inferencing platform that supports high-throughput, low-latency large language model (LLM) workloads. Key Responsibilities • Build, operate, and scale a production-grade AI inferencing platform • Develop Python-based services and automate model deployments • Optimize model serving performance using vLLM, Kubernetes, KServe, and Knative • Containerize applications with Docker and Podman • Maintain and tune PostgreSQL data models • Troubleshoot production issues and drive platform reliability • Work closely with ML engineers and platform architects to scale mission-critical AI services Requirements • Strong hands-on Python coding and development experience • Experience with FastAPI • Expertise with Docker and Kubernetes, including deployments, services, autoscaling, and troubleshooting • Practical experience with Postgres, including query optimization and schema design • Cloud platform experience, such as Azure/AKS, AWS/EKS, or GCP/GKE • Strong debugging skills across the stack Benefits • Opportunity to work on cutting-edge AI technologies • Collaborative and innovative work environment

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