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Senior Solutions Architect at Google: Comprehensive Interview Preparation Guide

Solutions Architect
Google
Senior
6 rounds
Updated 6/16/2026

Google's Solutions Architect interview process consists of an initial recruiter screening, a technical phone screen, and four onsite rounds featuring technical assessments, architectural design challenges, behavioral evaluations, and domain expertise validation. The process is designed using Google's 'structured interviewing' methodology with standardized questions and scoring rubrics. Each candidate answers similar questions to ensure consistency and fairness in evaluation.

Interview Rounds

1

Recruiter Screening

2

Technical Phone Screen

3

Onsite Round 1: Technical Architecture Deep Dive

4

Onsite Round 2: System Design and Solutions Architecture Case Study

5

Onsite Round 3: Behavioral, Leadership, and Google Values Alignment

6

Onsite Round 4: Technical Depth and Domain Expertise

Frequently Asked Solutions Architect Interview Questions

Scalability Patterns and TechniquesMediumTechnical
28 practiced
A legacy monolithic application relies on sticky sessions at the load balancer. The team intends to migrate to stateless microservices. Propose alternative approaches to eliminate sticky sessions including token-based session affinity, external session stores, and session replication. Discuss migration risks, performance implications, and security considerations.
Disaster Recovery and Business ContinuityMediumTechnical
28 practiced
You must design a strategy to ensure DR runbooks stay current as the architecture evolves across multiple teams and repositories. Describe an automated process that detects architecture changes (IaC commits, service catalog updates) and triggers runbook review or tests. Mention tools and integration points.
Performance Engineering and Cost OptimizationMediumTechnical
75 practiced
Design a storage tiering policy for application logs: hot (30 days, sub-second queries), warm (1 year, minute-level queries), cold (3 years, archival). Specify storage types, lifecycle rules, indexing strategy, and expected cost trade-offs.
Microservices Architecture and Service DesignMediumSystem Design
60 practiced
Design an API versioning strategy for a public REST API used by many external clients. Include how you will communicate deprecation, migrate clients to new versions, handle bugfixes in old versions, and measure adoption of new versions. Mention how backward compatibility and breaking changes are managed.
Architecture and Technical Trade OffsHardTechnical
52 practiced
Design a data replication and failover strategy to enable low-latency read-local writes in a multi-region service while preserving serializability for a subset of operations that require it. Describe replication topology (active-active, primary-secondary), routing rules, conditional consistency mechanisms, reconciliation for divergent writes, and how you would test and monitor the system.
Scalability Patterns and TechniquesMediumSystem Design
32 practiced
Design a caching topology for a read-heavy product catalog API serving 100k RPS globally with 10M products where 95% of requests are for the top 10% popular products. Describe cache layers (CDN, edge caches, application caches), cache keys and sharding, TTL strategies, eviction policies, cache invalidation for product updates, and approaches to prevent cache stampede on bursts.
Disaster Recovery and Business ContinuityEasyTechnical
24 practiced
Describe three cost-optimization techniques a Solutions Architect can apply to DR (e.g., snapshot lifecycle policies, reserved capacity, cross-region replication selection). For each technique, explain one potential risk or limitation and how you'd mitigate it.
Performance Engineering and Cost OptimizationEasyTechnical
59 practiced
A product manager asks whether to implement near-real-time or batch processing for user analytics that drive in-app recommendations. Describe criteria you would use to choose, including latency requirements, cost, model staleness tolerance, and operational complexity.
Microservices Architecture and Service DesignMediumTechnical
84 practiced
Design an approach to trace and debug requests across services that sometimes use synchronous HTTP, sometimes gRPC, and sometimes async messaging. Explain how you will propagate trace context, how to handle messages that are retried by the broker, and how to reconstruct a complete end-to-end timeline for an incident.
Architecture and Technical Trade OffsEasyTechnical
54 practiced
As a Solutions Architect, what should an Architecture Decision Record (ADR) contain? Provide a simple template of fields (e.g., title, context, decision, alternatives, consequences, stakeholders, date) and explain how ADRs are used in client engagements to surface trade-offs and future-proof decisions.
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