StellenbeschreibungpstrongAbout the job /strong /p pstrongMercor /strong connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include strongBenchmark /strong, strongGeneral Catalyst /strong, strongPeter Thiel /strong, strongAdam D'Angelo /strong, strongLarry Summers /strong, and strongJack Dorsey /strong. /p pstrongPosition: /strong DevOps / SRE / Cloud Engineer (Coding Agent Experience)br/ strongType: /strong strongContract /strongbr/ strongCompensation: /strong strong$85/hour /strongbr/ strongLocation: /strong strongRemote /strong /p pstrongRole Responsibilities /strong /p ul liUse frontier strongAI coding agents /strong to complete and evaluate complex stronginfrastructure engineering /strong tasks. /li liReview model-generated implementations involving strongcloud platforms /strong, strongKubernetes /strong, strongCI/CD systems /strong, and stronginfrastructure automation /strong. /li liIdentify bugs, edge cases, reliability issues, and failure modes in model outputs. /li liCompare outputs from multiple frontier models to assess strengths and weaknesses. /li liApply professional engineering judgment to realistic stronginfrastructure engineering /strong scenarios. /li /ul pstrongQualifications /strong /p pstrongMust-Have /strong /p ul listrong2+ years /strong of professional strongDevOps /strong, strongSRE /strong, or strongCloud Engineering /strong experience. /li liExperience with strongAWS /strong, strongAzure /strong, strongGCP /strong, strongKubernetes /strong, strongTerraform /strong, strongCI/CD pipelines /strong, or observability tooling. /li liRegular use of strongAI coding agents /strong like strongCursor /strong, strongClaude Code /strong, strongCodex /strong, strongWindsurf /strong, strongGemini CLI /strong, or similar tools. /li liAbility to evaluate model-generated stronginfrastructure /strong and strongreliability engineering /strong solutions. /li /ul pstrongPreferred /strong /p ul liExperience supporting strongproduction-scale systems /strong. /li /ul pstrongCompensation Legal /strong /p ul listrong$400 per accepted task /strong. /li liCompensation is tied to accepted work. /li /ul pstrongApplication Process (Takes 20–30 mins to complete) /strong /p ul liUpload resume /li liAI interview based on your resume /li liSubmit form /li /ul pstrongResources Support /strong /p ul liFor details about the interview process and platform information, please check: /li liFor any help or support, reach out to: /li /ul pemPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. /em /p
