Splunk ES Engineer

Location: Tampa, FL

Description:

Job Title: Site Reliability Engineer (Kubernetes & Observability)

Location: Tampa, FL

Working Model: Fully onsite

Duration: 6 months

Right to Hire

Job Description: We are seeking a highly skilled Site Reliability Engineer (SRE) with deep expertise in Kubernetes infrastructure, observability platforms, and automation to support and improve large-scale production systems. This role requires a hands-on engineer who can build, scale, and maintain Kubernetes environments while driving reliability, monitoring, and operational excellence. You will work closely with development, infrastructure, production support, and platform engineering teams to design scalable solutions, automate operational processes, and ensure high availability across mission-critical applications.

• Build and administer Kubernetes clusters across multiple environments
• Design and implement containerized solutions using Kubernetes and Docker
• Troubleshoot production issues involving networking, storage, cluster performance, and application reliability
• Support incident management, root cause analysis, and proactive reliability improvements
• Develop Infrastructure as Code (IaC) solutions using Terraform
• Build and maintain CI/CD pipelines using Jenkins, Bitbucket, and GitOps methodologies
• Automate infrastructure provisioning, deployments, and operational workflows
• Implement observability and monitoring solutions using Dynatrace, Splunk, Prometheus, Grafana, and OpenTelemetry
• Create dashboards, alerts, and telemetry solutions to improve application visibility and performance monitoring
• Collaborate with engineering teams to improve system scalability, availability, and operational efficiency
• Develop automation tools and scripts using Python, Go, or Bash
• Support platform modernization initiatives and help establish best practices for SRE and Cloud-Native operations

• 6+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or Production Engineering
• Strong hands-on Kubernetes experience with cluster administration and platform build-out
• Extensive experience supporting production environments and resolving system-level issues
• Proven expertise in Infrastructure as Code (IaC) using Terraform
• Strong understanding of reliability engineering principles, system uptime, scalability, and availability
• Kubernetes & Container Platforms: Hands-on experience building Kubernetes environments from the ground up
• Expertise with Kubernetes cluster administration, workload orchestration, networking, and storage management
• Strong understanding of containerization technologies including Docker
• Experience managing Kubernetes deployments in enterprise environments
• Knowledge of service discovery, ingress controllers, load balancing, and autoscaling
• CI/CD & Tools: Experience building and maintaining CI/CD pipelines using Jenkins and Bitbucket
• Familiarity with GitOps deployment methodologies
• Experience automating infrastructure provisioning and deployments
• Ability to create self-service automation solutions that reduce manual intervention
• Infrastructure & Cloud: Strong understanding of infrastructure architecture and distributed systems
• Expertise with Terraform and Infrastructure as Code practices
• Experience provisioning compute instances and automating infrastructure deployments
• Understanding of Linux environments and server administration
• Cloud platform experience is beneficial, but AWS expertise is not required
• Observability & Monitoring: Hands-on experience with Dynatrace, Splunk, Prometheus, Grafana, or similar monitoring platforms
• Experience building dashboards, alerts, telemetry, and application monitoring solutions
• Understanding of OpenTelemetry concepts and distributed tracing
• Experience troubleshooting applications using performance metrics, logs, and telemetry data

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