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Devops Engineer

Unicorn Technologies LLC

Remote • Today

Easy Apply

Contract

50 - 60

Integration / Interoperability / API Engineer

Unicorn Technologies LLC

Atlanta, Georgia • 3d ago

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Full-time

0 - 0

Full-Stack Software Engineer

Unicorn Technologies LLC

Atlanta, Georgia • 12d ago

Easy Apply

Full-time

0 - 0

HR Specialist – Government Operations

Unicorn Technologies LLC

Atlanta, Georgia • 20d ago

Easy Apply

Full-time

0 - 0

Job Details

Skills

API
Amazon Web Services
Docker
Artificial Intelligence
FOCUS
GPU
PostgreSQL
Microsoft Azure
Machine Learning (ML)
Large Language Models (LLMs)
Google Cloud Platform
Kubernetes
DevOps

Summary

Role: Devops Engineer

Location : Remote (TX)

Long term Contract (Full Time)

JOB DESCRIPTION
One of our largest Telecom customers 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.
The position combines software engineering, platform engineering, and reliability engineering responsibilities, with a focus on developing Python-based services, automating model deployments, and optimizing model serving performance using vLLM, Kubernetes, KServe, and Knative.
The engineer will be responsible for containerization with Docker and Podman, maintaining and tuning PostgreSQL data models, troubleshooting production issues, and driving platform reliability through observability and automation.
Working closely with ML engineers and platform architects, this individual will help scale mission-critical AI services, support new model rollouts, and continuously improve the infrastructure that powers enterprise AI applications.

REQUIRED SKILLS AND EXPERIENCE

Strong hands-on python coding & development experience as well as experience working with FastAPI
Expertise with Docker & Kubernetes, including deployments, services, autoscaling, and
troubleshooting workloads in production.
Practical experience with Postgres, including query optimization and schema design.
Cloud platform experience, such as Azure/AKS, AWS/EKS, or Google Cloud Platform/GKE.
Strong debugging skills across the stack — from application code to infrastructure
NICE TO HAVE SKILLS AND EXPERIENCE
Direct experience with vLLM or LLM inferencing
Experience with GPU-aware scheduling and resource management in Kubernetes.
Familiarity with LLM-specific optimizations: speculative decoding, quantization (FP8/INT8), KV cache
management, and continuous batching.
Experience with API gateways or LLM routing layers, such as LiteLLM or similar.
Background in SRE practices: SLOs/SLAs, incident response, and on-call tooling.
Experience with Helm, ArgoCD, or other GitOps deployment tooling.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10501706
Position Id: 9115770
Posted 4 hours ago

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Contact the job poster

Gouthami Kintali

Recruiter @ Unicorn Technologies LLC

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