Rounds 1–2 are fully visible · Round 3+ unlocked with a free account
BehavioralLevel Calibration
Level calibration for L63–L64 band. The recruiter is checking scope — did you drive architectural decisions, or did you implement decisions made by others? Senior SDE candidates who can only describe feature work get re-leveled to SDE-2 before the loop is even scheduled. Be specific about org-wide and customer-facing impact.
What to expect
- ›Career narrative: what led you to Senior and why is Microsoft the right next step for your technical trajectory?
- ›Scope check: 'Describe the most recent system you designed from scratch — how many teams consumed it and what was the production traffic?'
- ›Band alignment: compensation expectations vs. L63 range for your location and team charter
- ›Trap: answering scope questions with team-attributed outcomes — 'we shipped X' instead of 'I designed X and drove adoption across Y teams'
GraphsCustom Data StructuresBFS/DFSAdvanced Algorithms
One complex problem designed to be production-readable, not just correct. At Senior level, Microsoft expects clean naming, modular decomposition into helper functions, and explicit error handling — the kind of code that could go into a PR for the Azure SDK. Graph problems and custom data structure design dominate. Multiple 2024 reports cite 'Design Insert/Delete/GetRandom in O(1)' and word-ladder variants.
What to expect
- ›e.g., 'Design a data structure supporting insert, delete, and getRandom in O(1)' — HashMap + dynamic array swap-and-shrink; this pattern directly models how Azure Load Balancer maintains backend pool membership
- ›e.g., 'Word Ladder II — find all shortest transformation sequences' — BFS to find shortest length, then DFS backtrack to reconstruct paths; most candidates get BFS right but blow up on the backtracking
- ›Multiple approaches discussed and justified before committing to code — jumping straight to implementation without discussing alternatives is a Senior-level red flag
- ›Code must be modular: separate functions for input validation, core algorithm, and output formatting — not a single main() block with inline comments
Practice on KnowEase.AI
Distributed SystemsStorageReplicationConsistencyScalability
Design an Azure-scale distributed system end-to-end. Senior candidates are expected to go deep on at least one component — not just name services. Frequently reported prompts in 2024–2025: Azure Blob Storage internals, a global notification system for Teams, and a distributed rate limiter for Azure API Management. Microsoft interviewers push hard on consistency model choices and failure recovery.
What to expect
- ›e.g., 'Design Azure Blob Storage' — chunk storage with configurable-size blocks, a metadata service (inode-like, stored in Azure Table Storage), 3-way replication across fault domains, and a garbage collection process for orphaned chunks
- ›Consistency model debate: 'Strong consistency for your metadata service will create a write bottleneck at 1B requests/day — how do you relax this without losing correctness?' — the answer involves optimistic concurrency control with ETags, which Azure Blob already uses
- ›Data partitioning: range-based vs. hash-based sharding — hash sharding avoids hot partitions for sequential blob names (a real Azure Blob pitfall the team fixed in 2019)
- ›Failure mode: 'Your replication lag is 500ms and a datacenter fails mid-write — which replicas are authoritative and how does a client discover the new primary?'
- ›Capacity math: estimate storage nodes, IOPS per node, and network bandwidth for 1 exabyte of total storage with 99.99% durability SLA
OOPDesign PatternsSOLIDAPI DesignConcurrency
Low-level design of a service component or framework — class structure, interface contracts, extension points. Microsoft's product context dominates the framing: VS Code's extension system, Teams' notification pipeline hooks, or an in-process LRU cache for an Azure SDK. The evaluator is looking for SOLID principles applied to real constraints, not textbook patterns recited.
What to expect
- ›e.g., 'Design a plugin architecture for VS Code extensions' — Strategy pattern for language providers, Observer for event subscriptions (onDidSaveDocument), Extension context as a lifecycle owner; the interviewer will ask how you'd prevent a bad plugin from crashing the host process
- ›e.g., 'Design a thread-safe LRU Cache for the Azure SDK's HTTP client' — doubly-linked list + HashMap, with read-write lock segmented by key hash to reduce contention, not a single global lock
- ›API contract question: 'Which methods on your cache should be public vs. internal? How would you version the public API without breaking SDKs already shipped to customers?' — backward compatibility is a real constraint in the Azure SDK
- ›Extension trap: 'A new requirement arrives 6 months later — your cache needs to support async eviction callbacks. How do you add this without modifying existing callers?' — Open/Closed Principle applied to a concrete Microsoft SDK scenario
Technical VisionGrowth MindsetCross-team AlignmentInfluence
Strategic leadership discussion — often with the General Manager of the product org. This round tests whether you can drive technical direction in an environment where you have influence but not authority. Microsoft GMs specifically probe for cross-team alignment stories and whether you default to escalation vs. peer-level resolution. Growth Mindset questions here focus on intellectual honesty and reversing your own decisions.
What to expect
- ›Technical vision: 'Walk me through the biggest architectural decision you've made in the last 2 years — what did you reject, why, and have any of your assumptions turned out to be wrong?'
- ›Cross-team influence: 'Tell me about a time you drove adoption of a technical standard across teams that didn't report to you and weren't initially aligned — what was your approach when a team pushed back?'
- ›Growth Mindset reversal: 'Describe a decision you made confidently that you later had to reverse publicly — how did you handle the reversal and what did you do for the engineers who built to your original spec?'
- ›Product push-back: 'Tell me about a time you told product leadership that a feature they wanted was technically infeasible or would create unacceptable reliability risk — what happened?'
