Kforce-posted about 1 month ago
Full-time • Mid Level
Remote • Greenwood Village, CO
1,001-5,000 employees
Administrative and Support Services

Kforce has a client that is seeking a Remote Senior Site Reliability Engineer (SRE) to join a dynamic, collaborative team supporting enterprise-level experimentation and configuration management platforms. In this role, you'll deploy, monitor, support, and optimize cloud-based applications and services, ensuring high availability, performance, and scalability. You'll work closely with engineers across software, DevOps, and test functions to maintain mission-critical solutions.

  • Release Management: Build, deploy, and validate application, service, and infrastructure releases; Document release notes
  • Production Support: Maintain high availability for production systems, manage on-call rotation, troubleshoot incidents, and perform root cause analysis
  • Monitoring & Alerting: Implement and maintain monitoring dashboards, track system performance, and alert teams on issues; Optimize latency and resource consumption
  • Optimization: Manage resource scaling, optimize system performance, and improve infrastructure efficiency
  • Team Collaboration: Serve as a technical expert on system architecture and deployment pipelines, coordinate with onshore/offshore teams, and assist with user support and bug fixes
  • Bachelor's degree in a related field or equivalent experience
  • Expertise with monitoring tools (e.g., DataDog, Splunk)
  • Hands-on experience with AWS infrastructure and services (e.g., EKS, S3, DocumentDB)
  • Experience with containerized microservices and web-based applications
  • Familiarity with Git-based source control (e.g., GitLab)
  • Proficiency in Infrastructure as Code (e.g., Terraform) and cloud deployment pipelines
  • Master's degree or higher in a related field
  • 6+ years of experience in software lifecycle and SRE practices
  • Experience with relational (SQL) and NoSQL databases
  • Experience with experimentation, statistical testing, and data analysis
  • Familiarity with Python, Node.js, React, TypeScript, and GraphQL
  • Exposure to Docker, Kubernetes, Redis, and ORM technologies
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