{"id":4245534,"url":"https://alion.io/job/infobeans-kubernetes-subject-matter-expert","title":"Kubernetes Subject Matter Expert","company":{"id":59407,"name":"InfoBeans","domain":"infobeans.ai","url":"https://alion.io/company/infobeans-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"containerd","optional":false},{"name":"DNS","optional":false},{"name":"Docker","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"OpenSearch","optional":false},{"name":"Prometheus","optional":false},{"name":"Splunk","optional":false}],"status":"live","first_seen_at":"2026-11-13T10:42:00Z","employer_posted_date":null,"last_verified_at":"2026-11-13T10:42:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Kubernetes SME\n\nLocation : Mumbai.\n\nWork Mode : Shift - based support.\n\nExperience : 6 - 10 years, with strong hands-on Kubernetes experience.\n\nRole Summary :\n\nWe are looking for a Kubernetes SME to provide hands-on support for Kubernetes platform operations, troubleshooting, deployment support, and production issue resolution.\n\nThe resource should be comfortable working in shifts and supporting critical enterprise workloads in a production environment.\n\nKey Responsibilities :\n\n- Provide day-to-day operational support for Kubernetes clusters.\n\n- Monitor cluster health, node status, workloads, pods, services, ingress, and storage.\n\n- Troubleshoot Kubernetes issues related to pods, deployments, services, networking, DNS, ingress, certificates, and resource utilization.\n\n- Support application deployments, rollbacks, scaling, and configuration changes.\n\n- Work with DevOps, application, infrastructure, security, and network teams to resolve production issues.\n\n- Handle incidents, service requests, and change activities as per defined SLA.\n\n- Analyze logs, events, metrics, and alerts to identify root cause.\n\n- Support Kubernetes upgrades, patching, backup, restore, and cluster maintenance activities.\n\n- Manage namespaces, RBAC, secrets, config maps, resource quotas, and limit ranges.\n\n- Support container image deployment and integration with container registries.\n\n- Assist in implementing monitoring, logging, and alerting using tools such as Prometheus, Grafana, ELK, OpenSearch, Splunk, or similar tools.\n\n- Prepare incident reports, RCA documents, SOPs, and operational runbooks.\n\n- Participate in shift handovers and provide status updates to stakeholders.\n\nRequired Skills :\n\n- Strong hands-on experience with Kubernetes administration and troubleshooting.\n\n- Good understanding of containers, Docker or containerd, images, registries, and runtime behavior.\n\n- Experience with Kubernetes objects such as Pods, Deployments, StatefulSets, DaemonSets, Services, Ingress, ConfigMaps, Secrets, PV, PVC, and StorageClasses.\n\n- Knowledge of Kubernetes networking, CNI, service discovery, DNS, load balancing, and ingress controllers.\n\n- Experience with Helm charts and YAML - 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