DevOps / Kubernetes Operations Engineer

DevOps / Kubernetes Operations Engineer (Contract) 

Job at a Glance: 

• 3-month contract 

• Remote  

• Pay: $55 per hour + optional medical, dental, vision, and 401(k) 

Position Summary 

Our client is seeking a DevOps / Kubernetes Operations Engineer to support a short-term, high-impact initiative within an AI-focused platform team. This team is responsible for enabling access to frontier AI models, open-weight models, and deploying GPU-based infrastructure on Kubernetes. The role is heavily focused on operations, platform reliability, observability, and Kubernetes administration, with little to no software development required. 

This is a fast-moving engagement expected to last up to 12 weeks, with no anticipated extension beyond the project timeline. Candidates located in CST or EST time zones are preferred.  

Responsibilities 

• Configure, manage, and optimize Kubernetes environments. 

• Support deployment and operational readiness of services running on Kubernetes. 

• Build and maintain observability solutions and monitoring dashboards using Grafana. 

• Improve platform reliability, monitoring, alerting, and operational visibility. 

• Administer and troubleshoot Kubernetes clusters and related infrastructure. 

• Support Helm deployments and configuration management. 

• Assist with CI/CD processes and operational automation. 

• Partner with AI platform teams supporting GPU-based infrastructure and model-serving environments. 

• Monitor system health, performance, and availability while resolving operational issues. 

Required Qualifications 

• Strong hands-on experience with Kubernetes administration and configuration. 

• Experience with Grafana, monitoring, observability, and dashboard development. 

• Background in DevOps, Site Reliability Engineering (SRE), or Infrastructure Operations. 

• Experience deploying and supporting services within Kubernetes environments. 

• Knowledge of Helm, CI/CD pipelines, and containerized infrastructure. 

• Strong troubleshooting skills across systems, infrastructure, and platform operations. 

• Experience working in Linux-based environments. 

Preferred Qualifications 

• Experience with AWS cloud services. 

• Exposure to GPU-enabled infrastructure or AI/ML platform environments. 

• Familiarity with Python or other scripting languages. 

• Experience supporting AI, machine learning, or model-serving platforms. 

#INDGEN 

#ZR