SRE

Job Description

Job Description

SRE
Ropes assessment required
As there is internal competition I ask that you only send candidates who can complete the ROPES assessment ASAP.

**Please be advised that the ROPES assessment can track any outside assistance including AI tools, plagiarism, remote desktop, multiple people in the room. My recommendation would be to never leave the page the assessment is one or it may be flag for a risk**

About the Role

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.

Key Responsibilities

• 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.

Core Technical Skills

• 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 GCP, 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.