MLOPS Engineer

Greetings from Flexton! Hope you are doing great today! One of my clients is looking for ML Ops Engineer (Agentic AI)::W2@ Austin, TX please share me your updated resume and desire rate for this position. Job Description: Key Responsibilities ● Must have experience with Agentic AI Bot development - LangChain/Claude is a plus ● Act as the first line of support for internal teams and partners — providing timely response, acknowledgment, and resolution ownership. ● Handle incoming requests, incidents, and queries related to Kubernetes clusters, containerized workloads, and cloud-native applications. ● Take ownership of cases from acknowledgment to completion, ensuring proactive follow-up until the issue is fully resolved or appropriately escalated. Collaborate with L2/L3 engineers, SREs, and platform teams for complex problem resolution. ● Maintain detailed documentation of incidents, troubleshooting steps, and resolution in the ticketing system. ● Perform initial diagnostics using Kubernetes tools (e.g., kubectl, logs, events) to identify root causes. ● Participate in on-call rotations and ensure SLA compliance for response and resolution times. ● Provide excellent customer service — communicating clearly, empathetically, and professionally with internal stakeholders. Required Skills ● Minimum 4+ years of experience in Cloud Operations, DevOps Support, or Kubernetes-based environments. ● Hands-on experience with Kubernetes fundamentals — including Deployments, Services, Admissions, Cluster control plane and basic troubleshooting. ● Experience in automation or scripting for operational efficiency. ● Experience using monitoring and logging tools (e.g., Prometheus, Grafana, ELK, or equivalent). ● Familiarity with Linux systems, command-line tools, and scripting (Bash, Python preferred). ● Excellent communication skills — capable of explaining technical issues to non-technical audiences. Nice to Have ● Familiarity with Helm, Istio, or container runtime environments. ● Certification in Kubernetes (CKA or CKS) or equivalent experience. ● Exposure to cloud platforms (AWS, GCP, Azure). Key Attributes • Customer-focused mindset and proactive communication • Ability to multitask and prioritize effectively under pressure • Keen interest in learning and growing within cloud-native technologies • Collaborative attitude with strong problem-solving skills • Ownership-driven — "see it through” mentality from start to finish. Education & Certifications Required Bachelors of Engineering in Computer Science.