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Meta Solutions Architect Interview Preparation Guide - Senior Level

Solutions Architect
Meta
Senior
7 rounds
Updated 6/17/2026

Meta's interview process for senior architecture roles typically consists of a recruiter screening phase, followed by 1-2 technical phone screens, and 4-5 onsite interviews spanning multiple dimensions of architectural thinking, solution design, technical evaluation, and behavioral/leadership assessment. The entire process emphasizes translating business requirements into scalable technical architectures, making sound technology trade-offs, and demonstrating the ability to guide cross-functional teams including sales and engineering partners.

Interview Rounds

1

Recruiter Screening

2

Technical Phone Screen - Requirement Analysis and Solution Scoping

3

Technical Phone Screen - Architecture Deep-Dive

4

Onsite Round 1 - Case Study: Solution Design and Business Alignment

5

Onsite Round 2 - Architecture Deep-Dive and Technology Evaluation

6

Onsite Round 3 - Sales and Stakeholder Alignment

7

Onsite Round 4 - Behavioral and Leadership Assessment

Frequently Asked Solutions Architect Interview Questions

Application Programming Interface Design and IntegrationMediumSystem Design
34 practiced
Design a rate-limiting and quota model for a multi-tenant public API. Include how you'd distinguish per-API-key, per-IP, and per-organization limits, enforcement points, burst handling, and metrics to monitor quota usage.
Learning From Failure and Continuous ImprovementEasyTechnical
61 practiced
How do you design an on-call runbook for a common incident so that an on-call engineer unfamiliar with the system can safely remediate or mitigate it? List the essential sections (order, checks, safe rollbacks) and explain why each is necessary from a Solutions Architect's perspective.
Caching Strategies and PatternsHardSystem Design
69 practiced
Define guidelines for per-service caches versus shared caches in a microservices architecture. Discuss cache ownership, single source of truth, API contracts for reads, invalidation responsibilities, and patterns to avoid data staleness across service boundaries.
Event Driven and Asynchronous ArchitectureMediumTechnical
73 practiced
You need to migrate a synchronous monolithic payments subsystem to an event-driven microservices architecture. Produce a high-level migration plan covering: domain decomposition, interim façades/APIs for backward compatibility, designing message contracts, data ownership and authoritative stores, testing strategy (contract tests, canaries), monitoring, and rollback approaches. Highlight main risks and mitigations.
Database Selection and Trade OffsMediumTechnical
34 practiced
Design partitioning and tenant isolation for a SaaS multi-tenant application where tenant sizes vary from a handful of users to millions. Compare shard-per-tenant, shared tables with tenant_id partitions, and hybrid approaches. Discuss noisy neighbor mitigation, operational complexity, cost attribution, and migration from shared to isolated shards.
Feasibility and Solution AssessmentMediumTechnical
24 practiced
A client requires 99.95% uptime but budget only supports single-region deployment. How do you evaluate feasibility of meeting the SLA; what architectural and operational trade-offs do you propose (e.g., redundancy patterns, rapid failover, on-call processes) and how would you quantify residual risk?
Performance Engineering and Cost OptimizationEasyTechnical
44 practiced
For a public content API with very high read volume and infrequent writes, explain how you would choose between client-side caching, CDN edge caching, server-side cache, and database caching. Include TTL strategies and invalidation approaches.
Application Programming Interface Design and IntegrationHardTechnical
49 practiced
A mission-critical payment API must be PCI-compliant and resilient. Describe end-to-end design choices: transport security, key management, tokenization, scope of PCI compliance, logging/monitoring constraints, and how to balance observability with not logging sensitive data.
Caching Strategies and PatternsEasyTechnical
76 practiced
When is adding a cache appropriate versus harmful? Provide a checklist of workload characteristics, data properties, and operational concerns you would evaluate before introducing a caching layer for a service.
Event Driven and Asynchronous ArchitectureMediumTechnical
78 practiced
For an event consumer that fails intermittently calling an external API, design a retry and DLQ strategy that includes exponential backoff with jitter, a maximum number of retries, and escalation to a DLQ. Provide pseudocode (language-agnostic) or a flow description that prevents thundering-herd effects and supports observability of intermediate retry attempts.
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