AI-Enabled Platform/SRE Engineer

TECHCAFEHUB LLC

Richardson, TX, United States

21 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Build Automation Computer Programming Continuous Integration Disaster Recovery Github Monitoring of Systems Python (Programming Language) Node.Js Performance Tuning

+19 more

Reliability Engineering Runbook Software Engineering Systems Integration Datadog Google Cloud System Availability Large Language Models Grafana Apigee Kubernetes Infrastructure Automation Frameworks Rancher Graphql Restful APIs Terraform Splunk Appdynamics Microservices

Job description

We are seeking a Senior Kubernetes-focused SRE with strong cloud automation and software engineering skills who can leverage AI/LLMs to automate operations and improve platform reliability at scale., * Build automation and operational tools using Java, Python, and Node.js to improve efficiency, scalability, and platform operations.

Leverage AI and Generative AI technologies (Gemini, Llama, Mistral, Qwen, etc.) to automate alert analysis, incident response, operational workflows, and runbook execution.
Implement API and microservices reliability solutions using Apigee/Apigee X, REST APIs, GraphQL gateways, traffic routing, canary deployments, and failover strategies.
Manage Kubernetes platforms across GKE and Rancher RKE2, including cluster administration, performance tuning, and troubleshooting.
Ensure platform reliability and high availability by supporting active-active deployments, disaster recovery readiness, and multi-datacenter Kubernetes environments.
Develop observability and monitoring capabilities using tools such as Splunk, Grafana, Datadog, and AppDynamics to meet reliability and performance objectives.
Drive SRE best practices and operational excellence by partnering with cross-functional teams to improve reliability, security, incident management, and continuous improvement.

Requirements

Site Reliability Engineering (SRE) - Reliability, availability, incident management, SLO/SLI monitoring, and operational excellence.
Kubernetes Platform Engineering - 5+ years of Strong hands-on experience with GKE and Rancher RKE2, multi-cluster management, troubleshooting, and performance optimization.
Cloud & Infrastructure Automation - Strong experience in Google Cloud Platform, Terraform, Helm, GitHub, CI/CD, and production-grade automation.
Software Development - 5+ years of Advanced programming skills in Python and Java (Node.js preferred for integrations and automation workflows).
Observability & Monitoring - Splunk, Grafana, Datadog, AppDynamics, alerting, and platform health monitoring.
API & Microservices Engineering - Apigee/Apigee X, REST APIs, GraphQL, traffic routing, canary deployments, and failover strategies.
AI-Driven Operations (AIOps) - Applying LLMs such as Gemini, Llama, Mistral, and Qwen for alert analysis, incident triage, automation, and operational workflows.