<p>Kforce's client in Greenwood Village, CO is seeking a Site Reliability Engineer (SRE) to strengthen the reliability, scalability, and performance of enterprise systems and applications. This role bridges software engineering and infrastructure operations, focusing on automation, observability, and continuous improvement. The ideal candidate brings hands-on experience with monitoring platforms such as Splunk and Datadog, strong scripting capabilities in Python, and practical expertise with YAML-based configurations and containerization using Docker.</p> <p>Responsibilities:</p> <ul> <li>Design, implement, and maintain monitoring, alerting, and observability solutions using Splunk and/or Datadog </li><li>Develop and maintain automation scripts and tools using Python to improve operational efficiency and reduce manual intervention </li><li>Create and manage infrastructure and application configurations using YAML (e.g., CI/CD pipelines, Kubernetes manifests, configuration management) </li><li>Build, deploy, and manage containerized applications using Docker </li><li>Define and enforce SLAs, SLOs, and SLIs to ensure high system reliability and availability </li><li>Perform root cause analysis for production incidents and drive permanent resolutions </li><li>Collaborate with development and infrastructure teams to improve system resiliency, scalability, and performance </li><li>Implement proactive monitoring strategies to detect and prevent issues before customer impact </li><li>Document processes, runbooks, and operational standards* 4+ years of experience in Site Reliability Engineering, DevOps, or related production support roles </li><li>Hands-on experience with monitoring and observability tools such as Splunk and/or Datadog </li><li>Strong scripting/programming skills in Python </li><li>Experience working with YAML for configuration management, CI/CD pipelines, or infrastructure definitions </li><li>Practical experience building and managing Docker containers </li><li>Experience supporting production systems in a cloud or enterprise environment </li><li>Strong troubleshooting skills in distributed systems and application environments </li><li>Experience working in Agile environments </li></ul> <p>Preferred Skills:</p> <ul> <li>Experience with Kubernetes and container orchestration </li><li>Familiarity with Infrastructure as Code tools (e.g., Terraform, CloudFormation) </li><li>Experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI </li><li>Knowledge of cloud platforms (AWS, Azure, or GCP) </li><li>Experience defining and implementing reliability metrics (SLIs/SLOs) </li></ul>