Jobs / Del***

Applied AI Site Reliability Engineer II - PxE A&A

Del*** · Hermitage, TN, United States
Hermitage, TN, United StatesExp: 3+ yrsRemote
Remuneration
Not specified
Location
Hermitage, TN, United States
Visa sponsorship
Sponsors visa

Job summary

The Applied AI Site Reliability Engineer II role is responsible for ensuring the reliability, performance, and operational integrity of high-visibility products and platforms. Key responsibilities include operating cloud-native systems, maintaining observability, implementing performance testing, and collaborating with cross-functional teams to uphold production standards and support system admissions into production.

Qualifications

  • 3+ years of software engineering and site reliability engineering experience
  • 2+ years in site reliability or production engineering for large-scale systems
  • 2+ years in cloud-native engineering and cloud platform ownership
  • Experience operating AI/ML and agentic workloads in production
  • Experience with load and performance testing under simulated traffic
  • Software engineering experience with Business Context Diagrams
  • Experience using methodologies & tools such as XP, Lean, DevSecOps, SRE

Responsibilities

  • Drive accountability for reliability, performance, and cost outcomes
  • Advocate for production reliability and operability
  • Ensure operational integrity of production and pre-production environments
  • Develop operational solutions through rapid experimentation
  • Favor action and evidence over extensive planning
  • Collaborate with cross-functional partners
  • Demonstrate expertise in site reliability and production engineering
  • Acquire domain knowledge of products and platforms
  • Communicate complex technical concepts clearly
  • Engage with product engineering teams

Skills

Argo CDAWSAzureAzure MonitorBashCloudWatchC#DatadogDocker.NETDynatraceGCPGitHubGoGrafanaJavaKubernetesOpenTelemetryPrometheusPythonSonarQubeSplunkTerraform

Degrees

Bachelor's degree in computer scienceSoftware engineeringData scienceMachine learning

Relocation

No