CBRE Software Engineer reports describe project-focused technical conversations, AWS and infrastructure discussion, a coding component, behavioral questions, and a planned whiteboard interview.
$126K
Avg. Base Comp
$144K
Avg. Total Comp
2 rounds
Typical Rounds
1-2 weeks
Process Length
The available CBRE Software Engineer reports point to technical conversations rooted in your own work. One candidate described a brief introduction before discussion moved into their resume, technical background, project decisions, and AI-related functionality. That interview included a simple coding portion and questions on HTTP methods, including the distinctions among GET, PUT, and POST. Behavioral questions followed the technical discussion in that account.
A separate report described a hiring-manager conversation focused on projects, background, AWS experience, and infrastructure. The candidate reported prompts about choosing among Lambda, ECS/Fargate, and EMR for large-scale data workloads, plus diagnosing an S3 data-pipeline performance issue involving 503 Slow Down throttling. That candidate was scheduled for a 90-minute face-to-face whiteboard interview but withdrew before taking it.
Prepare a clear account of your direct contribution to each project, including constraints and tradeoffs. Review practical API fundamentals, and be ready to explain how workload characteristics influence AWS service selection. For an architecture scenario, practice walking through diagnosis before proposing changes: identify likely bottlenecks, define what you would inspect, and explain how an improvement addresses the observed behavior.
Synthesized from 2 candidate reports by our editorial team.
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Synthesized from candidate reports. Individual experiences may vary.
Reported conversations examined candidates’ projects, technical backgrounds, AWS experience, and infrastructure knowledge. Prepare concise explanations of work you personally delivered, the decisions you made, and the constraints that shaped those decisions.
One report described a simple coding component alongside deeper questions about the candidate’s resume, AI-related project functionality, and HTTP methods such as GET, PUT, and POST. Behavioral questions followed the technical portion in that interview.
One candidate was scheduled for a 90-minute face-to-face whiteboard interview but withdrew before completing it. Reported architecture prompts covered selecting Lambda, ECS/Fargate, or EMR for data workloads and diagnosing S3 pipeline performance and throttling issues.
