L2 Operations Support Engineer (Cloud & DevOps) - Remote

Location: USA, Remote 13+ years needed(Production Support/Operation Support, Cloud, DevOps, Kafka)

Position Summary: The L2 Operations Support Engineer is responsible for ensuring the stability, availability, and performance of cloud-native production applications. This role partners with Development, Infrastructure, and DevOps teams to support production operations, application deployments, platform services, and operational automation while driving continuous improvement.

Production Operations & Incident Response: Provide Level 2 support for production applications and platforms. Monitor system health, troubleshoot incidents, restore service, and perform root cause analysis. Participate in on-call support and production change activities.

Platform Support (Kubernetes & Kafka): Support Kubernetes environments, including deployments, scaling, configuration, and troubleshooting. Monitor and support Kafka clusters, topics, brokers, and consumer groups to ensure reliable messaging.

Operational Excellence: Create and maintain runbooks, knowledge articles, and operational procedures. Partner with Development, Infrastructure, and SRE teams to improve reliability, performance, and operational efficiency. Support monitoring and observability using tools such as Splunk, Grafana, Prometheus, Datadog, or Dynatrace. Required

Qualifications: 4+ years supporting enterprise production environments. Experience with Kubernetes, Docker, and a public cloud platform (AWS, Azure, or GCP).Experience supporting Kafka or similar messaging platforms. Hands-on experience with CI/CD pipelines and Infrastructure as Code. Strong Linux administration, scripting, troubleshooting, and communication skills. Preferred

Qualifications: Cloud, Kubernetes (CKA), Terraform, or ITIL certifications. Experience working in Agile, DevOps, or DevSecOps environments.

Success Measures: Maintain high production availability and SLA compliance. Reduce incident resolution times through effective troubleshooting and automation. Deliver reliable deployments with minimal production impact. Continuously improve operational processes, documentation, and platform stability.