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Technical Background and Skills Questions

Provide a clear, evidence based overview of your technical foundation and demonstrated credibility as a technical candidate. Describe programming and scripting languages, frameworks and libraries, databases and data stores, version control systems, operating systems such as Linux and Windows, server and hardware experience, and cloud platforms including Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Explain experience with infrastructure as code tools, containerization and orchestration platforms, monitoring and observability tooling, and deployment and continuous integration and continuous delivery practices. Discuss development workflows, testing strategies, build and release processes, and tooling you use to maintain quality and velocity. For each area, explain the scale and complexity of the systems you worked on, the architectural patterns and design choices you applied, and the performance and reliability trade offs you considered. Give concrete examples of technical challenges you solved with hands on verification details when appropriate such as game engine or platform specifics, and quantify measurable business impact using metrics such as latency reduction, cost savings, increased throughput, improved uptime, or faster time to market. At senior levels emphasize mastery in three to four core technology areas, the complexity and ownership of systems you managed, the scalability and reliability problems you solved, and examples where you led architecture or major technical decisions. Align your examples to the role and product domain to establish relevance, and be honest about gaps and areas you are actively developing.

MediumTechnical
0 practiced
You are proposing Kubernetes (EKS/GKE/AKS) for a client's production workloads. Explain patterns for running stateful services on Kubernetes, persistent storage options (CSI, cloud volumes), backup/restore strategies, scaling patterns, and common anti-patterns to avoid during upgrades and rollouts.
HardTechnical
0 practiced
Design a key lifecycle policy for a regulated financial service. Cover key generation, secure distribution, rotation cadence and automation, revocation, audit logging, emergency compromise procedures, and cross-cloud considerations when keys must be usable across multiple cloud providers or HSMs.
MediumSystem Design
0 practiced
Design a data pipeline to ingest, transform, and serve 1 TB of daily clickstream events to support analytics and near-real-time dashboards. Specify ingestion (e.g., Kafka/Kinesis), raw and processed storage, streaming vs batch processing frameworks, partitioning strategies, and the serving layer for dashboards and ad-hoc queries.
MediumTechnical
0 practiced
For a client handling PII at scale, explain trade-offs between symmetric and asymmetric encryption, the role and cost of HSMs, and when to apply envelope encryption. Discuss performance impacts, key distribution patterns, and operational considerations like rotation and auditing.
MediumSystem Design
0 practiced
Design a scalable, fault-tolerant web application architecture on AWS to support 100k daily active users with traffic spikes up to 5x baseline. Specify choices for load balancing, compute (EC2/ECS/EKS), database(s), caching, object storage, and brief scaling and failure recovery strategies for each component.

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