DevOps Engineer

Position : DevOps Engineer LLM & GPU Inference Services

Location : Remote

Duration : 1 Years

Skill Rating

Skills Matrix

Skill

Last Used

Experience in Years / month

Rating (10 points)

1 = newbie 10 = expert

Hands on Exp.

Yes / No

Cloud environments

Large Language Models (LLMs), particularly hosting them to run inference

Distributed services experience

GPU (Dedicated Inference Service)

Job Description :

We are looking for devs with general cloud services / distributed services experience, with LLM experience as a secondary skill. GPU experience is now low on the list of preferred skills : Dedicated Inference Service

Required Skills -

• Deep experience building services in modern cloud environments on distributed systems (i.e., containerization (Kubernetes, Docker), infrastructure as code, CI / CD pipelines, APIs, authentication and authorization, data storage, deployment, logging, monitoring, alerting, etc.)
• Experience working with Large Language Models (LLMs), particularly hosting them to run inference
• Strong verbal and written communication skills. Your job will involve communicating with local and remote colleagues about technical subjects and writing detailed documentation.
• Experience with building or using benchmarking tools for evaluating LLM inference for various models, engine, and GPU combinations.
• Familiarity with various LLM performance metrics such as prefill throughput, decode throughput, TPOT, and TTFT
• Experience with one or more inference engines : e.g., vLLM, SGLang, and Modular Max
• Familiarity with one or more distributed inference serving frameworks : e.g., llm-d, NVIDIA Dynamo, and Ray Serve etc.
• Experience with AMD and NVIDIA GPUs, using software like CUDA, ROCm, AITER, NCCL, RCCL, etc.
• Knowledge of distributed inference optimization techniques - tensor / data parallelism, KV cache optimizations, smart routing etc.

What You'll Be Working On-