Interview guides · Altera Digital Health

Altera Digital Health Software Engineer Interview Guide

Altera Digital Health Software Engineer interview guide: reported rounds, C#, ASP.NET, Angular and SQL Server questions, and a 7-day plan.

The 60-second brief

Altera Digital Health is a healthcare technology employer; candidates describe software that clinicians use and that has to stay available and secure. The Software Engineer listing names ASP.NET backends, Angular frontends and SQL Server database work, with C# as the core language. Reported day-to-day duties are writing and documenting code, investigating production problems alongside IT support and other engineering teams, joining code reviews, design sessions and stand-ups, and auditing database and application performance.

This guide is for a candidate preparing for the Software Engineer loop at Altera Digital Health, especially someone with a .NET and SQL Server background. It covers the reported stages, the SQL, object-oriented design, dependency injection and ASP.NET versus Angular questions, the whiteboard-style coding questions, and the production-incident and behavioral questions, each with a concrete way to answer.

Candidates report three stages over roughly 3 to 5 weeks: an Online Assessment, a set of Technical Interviews, and a Managerial/HR Interview.

Focus areas

C#
ASP.NET
Angular

Overview

The reported question set is a .NET full-stack fundamentals set rather than an algorithm-heavy one. Candidates describe SQL questions (a view versus a table, a stored procedure versus a function, troubleshooting a slow database), object-oriented design questions (SOLID, dependency injection, assigning a child-class object to a parent-class variable), a comparison of ASP.NET and Angular patterns, and short coding questions: swapping two numbers without a third variable, a HashMap of HashMaps, and an array manipulation walk-through. Preparation means being able to explain each of these precisely and then show it in code.

Two habits matter more than breadth. First, candidates report follow-up questions about the inner workings of any technology they mention, so for each item on your resume be ready to say what happens underneath: what a SQL Server index actually stores, what the dependency injection container does at startup and per request, how Angular detects changes. Second, coding is reported to happen in a notepad or whiteboard setting, so practise writing C# without autocomplete and narrate trade-offs and edge cases before you write.

The role description lists Kendo UI, SSIS or MSBI tools and healthcare or clinical software experience as nice-to-have, not required. Do not spend a week on them. A better use of time is two or three project stories you can defend in depth: the business goal, the hardest technical part, how you worked with other engineers and product people, and what you would change. The same stories can be reused for the production-incident and difficult-situation questions.

The seven-day plan at the end of the guide is a suggested study order, not a map of what each stage asks: SQL and C# fundamentals first, then object-oriented design and architecture, then whiteboard coding, then incident and behavioral stories, then a full rehearsal.

The Altera Digital Health interview process

Candidates describe three stages over roughly 3 to 5 weeks. The stage names and descriptions below are what they report, not a published schedule.

Online Assessment

Candidates describe the opening stage as a test of baseline skill in SQL, C# and modern web frameworks. No format beyond that is reported, so prepare for short answers on fundamentals rather than long designs. Reported SQL questions include the difference between a view and a table and the difference between a stored procedure and a function; the role also lists SQL Server, so know the SQL Server specifics as well as the generic definitions.

What to demonstrate

Working knowledge of SQL concepts such as views, tables, stored procedures and functions
Basic C# proficiency
Familiarity with a modern web framework

How to prepare

Write one-paragraph answers to the view-versus-table and stored-procedure-versus-function questions that cover storage, updatability, side effects, return values and where each can be called from.
Revise C# basics out loud: types, collections, LINQ, interfaces and exception handling.
Skim how an ASP.NET request reaches a controller and how an Angular component calls an API, so a short framework question does not catch you cold.

Technical Interviews

Candidates report several technical interviews that include whiteboard coding, architectural deep dives and scenario-based questions. A tip reported to candidates is to write code in a notepad or whiteboard environment with attention to readability and naming. Reported technical questions include SOLID, dependency injection, ASP.NET versus Angular, swapping two numbers, a HashMap of HashMaps and an array walk-through, and candidates also mention discussing their own projects in depth.

What to demonstrate

Working code written without an IDE, with clear naming and edge cases
Understanding of object-oriented design, SOLID and dependency injection
Ability to explain architecture decisions and trade-offs in your own projects
Handling of scenario questions such as troubleshooting a slow SQL database

How to prepare

Write the swap, HashMap of HashMaps and array questions by hand in C#, then check them with a compiler afterwards.
Prepare a SOLID example for each letter taken from real code you wrote, plus how constructor injection and service lifetimes work in ASP.NET. Be ready for whether a child-class object can be assigned to a parent-class variable.
Rehearse a SQL troubleshooting sequence: reproduce, read the execution plan, check indexes and statistics, then fix and re-measure.
Pick two projects and write out the goal, the hardest part, your design choices and why you made them.

Managerial/HR Interview

Candidates describe the final stage as a managerial or HR conversation about team fit, leadership alignment and logistics such as start date and compensation. A tip reported to candidates is to frame behavioral answers with the STAR method. Reported behavioral questions cover leaving your current organisation, a difficult work situation and severity versus priority. The question about handling production downtime or critical bugs is listed with the coding and problem-solving questions, so it may arrive as a scenario in the technical interviews as well as in a managerial conversation.

What to demonstrate

Communication with managers and non-technical stakeholders
Ability to describe past decisions and results clearly
Team fit and alignment on logistics

How to prepare

Write a STAR outline for a production incident, a difficult situation and a severity-versus-priority disagreement, each with one measurable result.
Prepare a calm, forward-looking answer for why you are leaving your current organisation.
Decide in advance how you will discuss start date and compensation expectations, based on your own research.

Where candidates lose points

Answering view versus table with only 'a view is a virtual table' and stored procedure versus function with only 'a procedure does more'

Cover the specifics: a view stores a query, not rows (unless indexed), and is mostly used for abstraction and permissions; a function is called inside a SELECT and cannot change persistent data, while a procedure can run DML, control transactions and return several result sets or output parameters.

Fumbling the whiteboard coding questions because you only ever write C# with autocomplete

Practise the swap without a third variable (arithmetic, XOR, and C# tuple swap), a nested dictionary with safe key creation, and array loops by hand. Name variables clearly, state edge cases such as empty input or overflow, and explain your logic before you write.

Reciting SOLID and dependency injection as definitions with no example from code you wrote

Prepare one concrete before-and-after for each principle and one story where constructor injection made something testable, including service lifetimes (transient, scoped, singleton) and what goes wrong when you mix them.

Listing a technology on a project and being unable to explain how it works underneath

For each technology in your project stories, prepare one level deeper: how an index is used, how ASP.NET handles a request, how Angular updates the view. Candidates report being asked how a mentioned technology works inside, so cut items you cannot defend.

Telling behavioral stories with no result, with blame for others, or using severity and priority as the same word

Use STAR with a measurable result and your own decisions in the first person singular. Rehearse the severity-versus-priority distinction with two examples, and keep the reason for leaving your current organisation positive and consistent.

Questions & practice

Write a program to swap two numbers without using a third variable.

Medium · Coding & Problem Solving

Approach

Arithmetic version: a = a + b; b = a - b; a = a - b. In C#'s default unchecked context, int overflow wraps around and the swap still comes out correct. Inside a checked block it throws OverflowException, and with floating-point values it can lose precision.
XOR version for integers: a ^= b; b ^= a; a ^= b. It cannot overflow, but it only works on integer types.
Name the aliasing trap: if both operands are the same storage location (for example, swapping arr[i] and arr[j] through ref when i == j), both the XOR and the arithmetic versions set the value to zero. Guard with if (i != j).
Give the idiomatic C# answer as well: tuple deconstruction (a, b) = (b, a). Point out that the tricks are not faster than a temp variable, since the compiler keeps temps in registers and the XOR chain is a series of dependent operations.
Test cases to say out loud: equal values, zero, negatives, int.MaxValue with int.MinValue, and the same-reference case. Skip the multiply/divide variant, because it breaks on zero and overflows.

Follow-up

What happens with int.MaxValue in a checked context, and how would you make the swap safe?
Why does the XOR swap fail when both references point to the same array element?
Would you use either trick in production code? What would you write instead?

How would you structure a solution using a HashMap of HashMaps?

Medium · Coding & Problem Solving

Approach

Name the shape and a use case: in C#, Dictionary<TOuter, Dictionary<TInner, TValue>> for two-level lookups, such as entity to date to reading, or a weighted adjacency list from node to neighbour to weight. Each level costs O(1) on average.
Write the insert with a single lookup per level: if (!outer.TryGetValue(k1, out var inner)) { inner = new(); outer[k1] = inner; } and then update inner[k2]. Avoid calling ContainsKey and then the indexer, which does two lookups. The Java equivalent is computeIfAbsent.
Handle reads safely: the indexer throws KeyNotFoundException for a missing key, so use TryGetValue at both levels. When removing the last inner entry, remove the empty inner dictionary too, so outer.Count stays meaningful.
Compare with a composite key: Dictionary<(K1, K2), V> uses one hash and less memory per entry, but it cannot list every inner key for a given outer key without a full scan. I choose based on whether that grouped read is needed.
Edge cases and cost: Dictionary is not thread-safe (use ConcurrentDictionary.GetOrAdd or a lock), custom key types need consistent Equals and GetHashCode, and the worst case under heavy collisions is O(n).

Follow-up

How would you find every outer key that contains a given inner key without scanning everything?
How would you make this structure safe for concurrent writers?
What changes if you need the inner entries returned in sorted order?

Can you walk through the logic of an array manipulation problem?

Medium · Coding & Problem Solving

Approach

Clarify before coding: is the array sorted, can it contain duplicates or negatives, must the change happen in place, and what should an empty array return? These answers decide which technique applies.
State the brute-force version and its cost first, then pick a pattern: two pointers for in-place compaction (remove duplicates from a sorted array, move zeros while keeping order) in O(n) time and O(1) space; a hash set or map for complement lookups like two-sum in O(n) time and O(n) space; prefix sums for range-sum queries.
Use a concrete example: rotating right by k means setting k %= n, reversing the whole array, then reversing the first k elements and then the rest. That is O(n) time and O(1) extra space, compared with O(n·k) for shifting one step at a time.
Trace a small input by hand on the whiteboard, naming the loop invariant (for example, everything before the write pointer is final). That catches off-by-one errors without a debugger.
Test the edges: an empty array, one element, all elements equal, k larger than n, negative numbers, and integer overflow when summing (switch to long).

Follow-up

Can you do it in place with O(1) extra space?
How would your approach change if the array were sorted?
What if the data arrives as a stream too large to hold in memory?

Explain the difference between a View and a Table in SQL.

Medium · Technical & Domain Knowledge

Approach

Start with storage: a table holds rows on disk (a heap or a clustered index), while a view is a saved SELECT with no rows of its own. SQL Server expands the view definition into the calling query when it compiles that query.
Explain why views get used: they hide joins behind one name, they control access (I can grant SELECT on the view and not on the base tables), and they keep old queries working after the schema changes underneath them.
Cover writes through a view, treating DELETE separately. INSERT and UPDATE work only when the statement touches columns from a single base table and the view has no aggregate, GROUP BY, HAVING or DISTINCT; TOP combined with WITH CHECK OPTION also blocks them. A DELETE through a view that references more than one base table always fails, because it would affect several tables. WITH CHECK OPTION rejects changes that push a row outside the view's filter, and INSTEAD OF triggers handle the complex cases.
Say that a plain view is no faster than the query it wraps. An indexed view, which needs WITH SCHEMABINDING and a unique clustered index, does store its result. Every write to the base tables then pays to keep it current.
Name the edge cases: a non-schema-bound view built on SELECT * keeps the column list it had at creation, so you need sp_refreshview after the base table changes. Views stacked on other views can also produce poor plans.

Follow-up

When would you add an indexed view, and what does it cost on INSERT and UPDATE?
Can you insert through a view that joins two tables? What would you do if you needed to?
How does a view differ from a CTE or a temp table for the same query?

Find version gaps and relay lag with window functions

Medium · window functions · event tables · frame semantics

outbox_event holds event_id, aggregate_type, aggregate_id, aggregate_version, event_type, payload, status ('pending','published','dead'), attempts, created_at, published_at. A projection is missing rows and you must decide whether the relay skipped events or the consumer dropped them. Write three queries over the last seven days: one listing every aggregate_id whose published aggregate_version sequence has a hole, one giving per-day counts with a running total, and one returning the newest published event per aggregate. For each, say where the window function is evaluated relative to WHERE and LIMIT. PostgreSQL 16.

Approach

Gaps: compute lead(aggregate_version) OVER (PARTITION BY aggregate_id ORDER BY aggregate_version) in a subquery, then filter next_version <> aggregate_version + 1 in the outer query. Window functions are evaluated after WHERE, GROUP BY and HAVING and before the outer ORDER BY and LIMIT, so the predicate cannot sit in the same WHERE clause and PostgreSQL 16 has no QUALIFY.
Say what the seven-day filter does to the answer: it truncates every partition, so the first row per aggregate has no predecessor inside the window and a hole spanning the boundary is invisible. Widen the window, or join to resource.version as the authority for the true maximum.
Running total: SELECT date_trunc('day', created_at) AS d, count() AS n, sum(count()) OVER (ORDER BY date_trunc('day', created_at) ROWS UNBOUNDED PRECEDING). An aggregate inside a window call is legal because grouping runs before windowing. The grouping key is unique per row here so ROWS and RANGE agree, but write the frame anyway — over ungrouped rows with tied timestamps the default RANGE frame pulls in every peer row and the total jumps.
Newest per aggregate: DISTINCT ON (aggregate_id) ... ORDER BY aggregate_id, aggregate_version DESC is the cheap PostgreSQL-only form when an index matches that order; row_number() OVER (PARTITION BY aggregate_id ORDER BY aggregate_version DESC) = 1 is the portable form and needs a subquery for the same evaluation-order reason as the gap query.

Follow-up

Relay failover redelivers events. Does a duplicate break the gap query, and how would you detect one from this table alone?
Turn the gap check into a continuous monitor rather than a query someone runs after an incident. What does it watch?

How do you differentiate between a Stored Procedure and a Function?

Medium · Technical & Domain Knowledge

Approach

Return shape: a function must return something, either a scalar or a table. A stored procedure can return zero or more result sets, OUTPUT parameters and an integer return code.
Where each one can be called: a function can sit inside SELECT, WHERE or JOIN, and a table-valued function goes in FROM. A procedure runs through EXEC and cannot appear in a SELECT.
Restrictions on functions: they cannot change data in permanent tables, run dynamic SQL, control transactions, call procedures or use TRY...CATCH. A procedure can do all of these, so writes and multi-step business logic belong in procedures.
Performance: an inline table-valued function expands like a view and optimizes well. Multi-statement TVFs used fixed row estimates for years. Scalar UDFs used to run once per row and blocked parallel plans, until SQL Server 2019 added scalar UDF inlining for eligible functions.
Plans and safety: procedures have cached plans, which brings parameter sniffing with it. Calling them with typed parameters, rather than gluing strings together, also guards against SQL injection.

Follow-up

Why can a scalar function in a WHERE clause make a query slow, and how would you rewrite it?
How do you handle errors and roll back a transaction inside a procedure (TRY...CATCH, SET XACT_ABORT ON)?
What is parameter sniffing, and which fixes would you consider?

What are the core differences between ASP.NET and Angular development patterns?

Medium · Technical & Domain Knowledge

Approach

Where the code runs: ASP.NET is server-side C# on .NET. Each HTTP request goes through a middleware pipeline and routing to a controller, a minimal API endpoint or a Razor page. Angular is a TypeScript framework that renders the DOM in the browser and calls APIs over HTTP.
Match up the building blocks: ASP.NET has controllers, model binding, validation attributes, filters and the built-in DI container. Angular has components with templates, injectable services, RxJS observables, change detection and a router with guards.
Point out the ideas both share: dependency injection, routing, and a request-interception layer (ASP.NET middleware or filters on one side, Angular HttpInterceptor on the other).
Draw the trust boundary: Angular route guards and form validation exist for the user's experience. Authorization and validation must be enforced again in ASP.NET, because a client can skip the browser entirely.
Describe the usual integration: an Angular SPA calling an ASP.NET Core Web API with JSON DTOs, plus CORS configuration and cookie or JWT authentication. I would mention a project where I owned both sides of that contract.

Follow-up

Where would you validate a form field, and why in both places?
How does Angular change detection work, and what does OnPush change?
How would you configure CORS and authentication between the Angular app and the API?

Can you explain the SOLID principles and how you apply them in your daily work?

Medium · Technical & Domain Knowledge

Approach

Single Responsibility: a class should have one reason to change. My example is splitting a controller action that validates input, writes to SQL and sends an email into separate services that can each be tested.
Open/Closed: add behaviour by writing a new implementation of an interface (the strategy pattern) instead of editing a switch statement every time a new case appears.
Liskov Substitution: any subtype must work wherever its base type is expected. The textbook violation is Square inheriting from Rectangle and breaking width/height expectations. Overrides that throw NotSupportedException are another.
Interface Segregation and Dependency Inversion: prefer small interfaces, such as separate read and write repositories, so callers do not depend on members they never use. High-level code depends on abstractions, and in .NET the DI container supplies those through constructor injection.
Close with the trade-off: I add an abstraction once a second variation or a test actually needs it, because interfaces with only one implementation everywhere make code harder to follow.

Follow-up

Can you assign an object of a child class to a parent-class variable, and which method runs when it is virtual versus hidden with new?
Tell me about a time you broke one of these principles on purpose, and why.
What is the difference between Dependency Inversion and Dependency Injection?

How do you approach Dependency Injection in your architecture?

Medium · Technical & Domain Knowledge

Approach

Definition: an object receives its dependencies from outside instead of creating them. I prefer constructor injection because it makes dependencies explicit and lets me pass in fakes during unit tests.
ASP.NET Core mechanics: register services in Program.cs with AddTransient (a new instance every time), AddScoped (one per HTTP request) or AddSingleton (one for the app's lifetime). AddDbContext registers the DbContext as scoped.
The main lifetime bug is a captive dependency, where a singleton holds a scoped service such as a DbContext. Scope validation in Development throws on it. A BackgroundService should create a scope through IServiceScopeFactory to use scoped services.
Avoid the service-locator pattern of injecting IServiceProvider into business classes. Use the Options pattern (IOptions<T>) for configuration. A constructor that takes many dependencies usually means the class has too many responsibilities.
On the front end, Angular has its own hierarchical injector: providedIn: 'root' gives a single app-wide instance, while a provider on a component gives that component subtree its own instance.

Follow-up

What goes wrong if a singleton depends on a scoped service?
How would you use a DbContext from a hosted background service?
When would you pick transient over scoped for a service?

Listing latency scales with page size, not with filters

Easy · n+1 · latency · query batching

The tenant listing endpoint reads resource filtered by tenant_id and status, ordered by updated_at DESC, and returns each row plus the owner's display name from app_user and the actor of that resource's latest resource_revision. p99 is 55 ms at 10 rows per page and 1.4 s at 200. Database telemetry shows 401 statements per request, each under 1 ms, and nothing in the slow-query log. Diagnose the cause and give the fix, stating the statement count per request and the p99 you expect afterwards.

Approach

Read the counters before forming a theory. 401 statements for 200 rows is one driver query plus two per row, and sub-millisecond execution with an empty slow-query log rules out a bad plan. The time is round trips, which is why it is invisible in every per-query metric and scales with rows returned rather than with filter selectivity.
Name the two per-row statements from their normalised text: a single-row app_user lookup by user_id, and a resource_revision lookup by resource_id ordered by version DESC LIMIT 1. Confirm by dropping those two response fields and watching the statement count fall to one. That locates the calls in the serialisation layer, not the repository.
Check that the arithmetic accounts for the whole gap. Measure one round trip to the replica in isolation; 400 trips at roughly 3 ms of network plus 0.2 ms of execution is about 1.3 s on top of a 55 ms baseline, which matches. If the multiplication had fallen short, the N+1 would only be part of the story and you would keep looking.
Batch both lookups. Collect owner_user_ids and resource_ids from the driver query, then issue WHERE tenant_id = $1 AND user_id = ANY($2) for the users, and PostgreSQL's SELECT DISTINCT ON (resource_id) ... WHERE resource_id = ANY($2) ORDER BY resource_id, version DESC for the latest revision, which the UNIQUE (resource_id, version) index serves directly. On an engine without DISTINCT ON, use a lateral join or a row_number window. Three statements per request at any page size.

Follow-up

The page size is capped at 200 today. What breaks first if it is raised to 2,000, and is it still this bug?
How do you stop the next N+1 from reaching production, given that no individual query is slow and the endpoint's tests pass?

Suggested practice checklist

A suggested seven-day study order: SQL and language fundamentals, object-oriented design and architecture, whiteboard coding, then production and behavioral stories, ending with a full rehearsal.

Day 1 — Map the loop and inventory your stack

Write the three reported stages (Online Assessment, Technical Interviews, Managerial/HR Interview) and next to each what candidates report about its format.
List C#, ASP.NET, Angular and SQL Server, and rate your confidence in each from one to five.
Pick two projects you will use as deep-dive stories and write the goal, hardest part and your role for each.

Deliverable: A one-page loop map, a rated stack inventory and two project summaries.

Day 2 — SQL Server fundamentals and performance

Write spoken answers to the view versus table and stored procedure versus function questions, including an indexed view and a table-valued function.
Write a troubleshooting checklist for a slow query: execution plan, missing index, statistics, parameter sniffing, blocking.

Deliverable: Two written answers, one troubleshooting checklist and one solved SQL practice question.

Day 3 — C# object-oriented design, SOLID and dependency injection

Write a short C# example showing a child-class object assigned to a parent-class variable and the polymorphic call that results.
Write a before-and-after code sample for each SOLID principle.
Outline how constructor injection and service lifetimes work in ASP.NET, with one example of testing a class using a fake dependency.

Deliverable: One C# polymorphism sample, five SOLID before-and-after samples and a one-page dependency injection outline.

Day 4 — ASP.NET versus Angular and your architecture stories

Write a comparison of ASP.NET and Angular covering where each runs, how each routes requests, how each manages state and how they communicate over an API.
Draw the architecture of one of your projects and write three design decisions with the reason and trade-off for each.
Answer aloud: what would you change in that design today?

Deliverable: A comparison page, one architecture diagram and a three-decision write-up.

Day 5 — Whiteboard coding without an IDE

Write the swap-two-numbers solution three ways (temporary-free arithmetic, XOR, tuple swap) and note overflow and same-variable edge cases.
Write a C# solution with a nested dictionary: a Dictionary of Dictionaries with counts, including safe creation of the inner dictionary.
Walk through an array manipulation problem on paper, stating brute-force cost, improved cost and edge cases.

Deliverable: Three handwritten solutions, each with complexity and edge cases noted.

Day 6 — Production incidents and severity versus priority

Write a STAR outline for a real incident, covering mitigation, diagnosis, communication and prevention.
Write your severity and priority definitions with two examples where they differ.

Deliverable: One incident outline, a severity and priority definition sheet and a written debugging sequence.

Day 7 — Managerial round rehearsal and full run-through

Write and rehearse a calm answer to why you are leaving your current organisation.
Write a STAR outline for a difficult situation and deliver it out loud.
Do a full mock: one SQL question, one SOLID question, one coding question and two behavioral questions, then list the weakest answer to fix.

Deliverable: Two rehearsed behavioral answers and a ranked list of remaining weak points from the mock.

Incident, conflict and motivation stories

Candidates describe the final stage as a managerial or HR conversation about team fit, leadership alignment and logistics, and the reported tip is to answer with the STAR method. For this role, prepare incident-handling, conflict, motivation and stakeholder-communication stories, and make each one name the decision you made.

Describe a project you owned: the business goal, the hardest technical challenge and how you worked with others.
Tell me about a time you explained a complex technical issue to a non-technical stakeholder.

How do you handle system downtime or critical bugs in a production environment?

Medium · Coding & Problem Solving

Approach

Choose an incident where you owned part of the response. Open with impact in two sentences: which users or functions were affected, since when, and how you found out (alert, user report, support ticket). In a healthcare setting, say whether clinicians lost access to patient information and whether patient safety was at stake.
Show the order of work: confirm scope and declare a severity, name who runs the incident, mitigate first (roll back the release, disable a feature flag, restart a stuck service, fail over, kill a blocking query), and only then chase root cause.
Describe the diagnosis for a .NET and SQL Server stack: compare against the last deployment, read application logs and exception traces, check for blocking, deadlocks or a slow query plan on the database, and check dependency health.
Cover clinical continuity and communication: mention the downtime procedures or read-only fallback the customer site used while the system was down, and say how you coordinated with IT support at that site. Give regular updates in plain wording for non-technical readers, and state when service was restored.
Close with the aftermath: a short post-incident review, a regression test, better monitoring or a runbook, and what you changed so it cannot recur silently. The mistake that sinks this story is heroics with no communication, or a fix with no prevention.

Follow-up

How did you decide between rolling back and shipping a hotfix?
What did you tell non-technical stakeholders while the system was still down?
What monitoring or test would have caught this earlier, and did you add it?

Why are you looking to leave your current organization?

Medium · Behavioral & Situational

Approach

Frame the answer around what you are moving toward, not what you are escaping. Name two or three specific things you want next, such as broader ownership across backend, frontend and database work, or software with real-world operational weight.
Make it credible with evidence from your current role: something you learned, shipped or owned there, and why the next step is not available where you are.
Connect it to the role as candidates describe it: C#, ASP.NET, Angular and SQL Server work, production troubleshooting and collaboration with other teams. Say only what you can truthfully tie to your own experience and goals.
Keep the tone neutral about your current employer. Never criticise a manager or team; if the real reason is a reorganisation or a stalled path, state it in one factual sentence and move on.
End with what you would bring and one question about the team. Stay consistent: give the same reason you gave on your resume and in earlier conversations with the recruiter.

Follow-up

What would have made you stay where you are?
What are you looking for in your next team that you do not have now?
How soon could you start, and is there anything that would change your timeline?

Describe a difficult situation you encountered at work and how you resolved it.

Medium · Behavioral & Situational

Approach

Pick a difficulty with a technical and a people dimension: a requirement that kept changing, a release that broke for a customer, or a disagreement over a design. Avoid a story where the only difficulty was workload.
Use STAR with proportion: Situation and Task in a few sentences, most of the time on Action. Say what you decided and why, in the first person singular, including options you rejected.
Make the Action concrete: the conversation you started, the data or logs you gathered, the proposal you wrote, who you brought in and when.
State the Result with evidence: fewer defects, a delivered date, a restored relationship, a rule or checklist the team kept. If the outcome was mixed, say so.
Finish with a reflection that changed your behaviour afterwards. The mistake that sinks this answer is blaming a colleague, or narrating what the group did without saying what you did.

Follow-up

What would you do differently if you faced it again?
How do you think the other person involved would describe it?
How did you know your approach actually worked?

How do you define and communicate severity versus priority when working with developers?

Medium · Behavioral & Situational

Approach

Define the terms separately. Severity is how badly the defect hurts: data loss or wrong data, security exposure, a crash or blocked workflow, how many users, and whether a workaround exists. Priority is the order in which it gets fixed, set by severity plus business urgency, deadlines and cost to fix.
Show they can diverge with two examples: a crash in a rarely used legacy screen is high severity but may be low priority; a wrong label on a screen a customer will see tomorrow is low severity but high priority. For clinical software, anything that can show wrong patient information is top severity.
Explain how you communicate it: a bug template with fields for steps to reproduce, impact, affected users, workaround and suggested severity; a short written scale with criteria so labels mean the same thing to support, QA and developers.
Say who decides: the reporter or QA suggests severity, a product owner or manager sets priority, and the developer confirms feasibility and effort. When there is a disagreement, bring evidence (logs, user counts, the workaround) rather than adjectives.
Mention re-triage: revisit both labels when new information arrives, and tell the reporter when a priority changes. The mistake to avoid is using the two words interchangeably.

Follow-up

Support marks a bug as the top priority but the developer thinks its severity is low. How do you resolve that?
Can you give an example of a high-severity bug you deliberately scheduled for later?
How would you handle a stakeholder who labels every ticket urgent?