AntWorks Software Engineer Interview Guide

The 60-second brief

Candidates describe AntWorks as a company that builds automation software for business workflows, with AI capabilities added to that software. The Software Engineer role they describe is application development on the Microsoft stack: .NET, C# and SQL, with MVC architecture and object-oriented design as the working vocabulary. Reports also list database performance work, troubleshooting system issues, code reviews and helping design new features. RPA tools such as UiPath, cloud platforms and AI/ML integration appear as nice-to-have experience rather than the entry bar.

This guide is for candidates applying to AntWorks as a Software Engineer. It covers the three reported rounds (Technical Screening, Deep-Dive Coding, Managerial Evaluation), the technical fundamentals candidates report (OOP, polymorphism, deadlock, MVC, sessions, SQL joins and clustered indexes), the RPA and AI integration questions, and the behavioral questions. It does not describe pay or any team-specific process.

Candidates report three rounds over roughly three to five weeks: Technical Screening, Deep-Dive Coding and Managerial Evaluation. Other reports mention two to four rounds depending on the team, and some loops finishing within a week.

Focus areas

• UiPath (RPA)
• C#
• .NET (framework)

Overview

The reported question set is narrow and stack-centred. Most technical questions are fundamentals of the Microsoft stack: the principles of OOP and polymorphism, how an MVC application is structured, how web sessions are managed, how SQL joins differ and when a clustered index fits, and deadlock. Candidates also list ASP.NET and UiPath (RPA) among the topics that come up. That makes this a loop where a clear, correct, example-backed explanation matters more than algorithm speed, so rehearse by writing small C# snippets and SQL queries, not by memorising definitions.

The second theme is automation and AI. Candidates report being asked about RPA project experience, how AI capabilities could be integrated into an existing product line, and an opinion on the future of AI in enterprise automation. None of these has a single right answer. Prepare a concrete integration sketch (where the AI call sits, what happens when it fails or is unsure, how a person reviews its output) and an honest account of your own automation experience, including what you have not used.

The third theme is your own history. Reported advice is consistent: expect to explain past projects in detail, and expect anything on your resume to be questioned in depth. The behavioral questions are the ordinary ones (introduce yourself, why this company, a challenging scenario, shifting requirements and stakeholders), and the Managerial Evaluation is described as focused on long-term goals and behavioral strengths. Build a small set of stories once and reuse them across the rounds.

Pace matters too. Candidates describe the process as fast and say to have your technical environment and project documentation ready to discuss right away. Plan your preparation so the stories and the fundamentals are both usable on short notice, not only on the last day.

The AntWorks interview process

These are the three rounds candidates report, in the order they report them. Teams and seniority levels vary, so treat the format as a guide to what to prepare, not a fixed script.

Technical Screening

Candidates describe Technical Screening as an initial assessment of coding fundamentals and technical skills. The reported technical questions for this loop are stack fundamentals, and advice from candidates mentions writing clean pseudocode and explaining the reasoning behind a choice. Approach it by giving each answer in three beats: the definition, a short concrete example in C# or SQL, and the trade-off or failure case.

What to demonstrate

• Coding fundamentals
• Working knowledge of the technologies on your resume
• Ability to explain a technical choice, not only state it

How to prepare

• Write a short C# example for each OOP principle (encapsulation, inheritance, polymorphism, abstraction) and be able to say how method overriding differs from overloading.
• Sketch how an MVC application splits models, views and controllers, and where validation and data access live.
• Be able to define a deadlock, say what conditions create it and how consistent lock ordering or timeouts avoid it.
• Write pseudocode for a small task out loud (for example grouping records or finding duplicates) and state its complexity.

Deep-Dive Coding

Candidates describe Deep-Dive Coding as in-depth coding or architectural discussion that tests problem-solving. The reported questions that fit this kind of stage include your .NET and C# experience, SQL joins and clustered indexes, session management in a web application, and integrating AI into an existing product. Approach it by thinking aloud: restate the problem, choose a structure, then name the edge cases and what you would change at larger scale.

What to demonstrate

• Problem-solving in code or architecture
• Depth in .NET, C# and SQL
• Reasoning behind design choices

How to prepare

• Draw the four common SQL joins on two small tables with unmatched rows, and explain why a table has one clustered index and what it does to row storage.
• Compare session state options for a web application (in-process memory, a shared store, cookie-based tokens) and the cost of each when you run several servers.
• Prepare a two-minute walkthrough of the hardest C# or .NET component you built, covering design, data access and what you would change.
• Outline an AI integration for an existing product: the call boundary, timeout and retry behaviour, a fallback when confidence is low, and logging for review.

Managerial Evaluation

Candidates describe Managerial Evaluation as the final stage, focused on long-term career goals and behavioral strengths. The HR round is reported to include behavioral and situational questions, including why you want to work at AntWorks and how you handle professional challenges. Approach it with prepared stories told in first person, and a clear, specific answer about where you want your career to go.

What to demonstrate

• Long-term career goals
• Behavioral strengths
• Motivation for this company and role

How to prepare

• Write a 'tell me about yourself' answer that runs from your current work to why this role, tied to .NET, C#, SQL or automation only where it is true.
• Prepare a challenging-project story with a measured result and one thing you would change.
• Prepare a shifting-requirements story that shows how you clarified the change, priced it and communicated the trade-off.
• Write a specific reason for choosing AntWorks that you formed from researching its automation products yourself.

Where candidates lose points

Reciting the four OOP principles as definitions with no code

For each principle, hold a short C# example ready (an interface with two implementations for polymorphism, a private field behind a property for encapsulation) and say how override differs from overload.

Listing .NET, C#, UiPath or cloud on the resume and having only surface knowledge of them

Candidates report that resume technologies are questioned in depth. Cut anything you cannot discuss for several minutes, and prepare one design decision and one problem for each item you keep.

Mixing up joins and indexes: describing a clustered index as a general speed-up, or being unable to explain which rows an outer join keeps

Practise on two small tables with unmatched rows. Know that a table has one clustered index that defines row order, that other indexes are separate structures, and which join keeps which rows.

Giving a vague RPA or AI answer with no integration design, or claiming RPA experience you do not have

Prepare a concrete sketch: where the AI call sits, its timeout and fallback, human review of uncertain output, and logging. If you lack RPA experience, say so and describe the nearest automation work you did.

Behavioral answers told as 'we', or a generic reason for wanting this company

Rewrite each story with what you personally decided and did, and build the company answer from products you actually researched and a specific link to your own experience.

Questions & practice

Track a rolling failure rate per destination for circuit decisions

Easy · sliding window · ring buffer · circuit breaker

The egress service delivers about 1,500 webhooks per second across roughly 40,000 destinations, each call bounded by a 10 second timeout. Maintain, per destination, the failure rate over the trailing 60 seconds so a caller can ask before dispatch whether the circuit should open. Attempts arrive as (destination_id, finished_at_ms, outcome). Requirement: amortised O(1) per attempt, with total memory bounded by the destination count rather than by traffic. Give the structure, its exact memory, and the rule that stops a destination with three attempts from opening a circuit.

Approach

1. Name the exact-deque version and then reject it as the default. Holding timestamps and advancing a tail pointer past anything older than now minus 60 seconds is a correct two-pointer window at amortised O(1) per attempt, but its memory tracks in-window traffic, so one destination in a retry storm holds hundreds of thousands of entries while thousands of quiet destinations hold none.
2. Use a ring of 60 one-second buckets per destination, each bucket a pair of counters for attempts and failures. On an attempt, advance the ring by the elapsed whole seconds, zeroing at most min(elapsed, 60) buckets, then increment the head. That is amortised O(1) with a fixed footprint per destination.
3. State the footprint: 60 buckets times two 4-byte counters is 480 bytes of payload per destination, so 40,000 destinations is roughly 20 to 25 MB with per-entry overhead, bounded by the catalogue rather than by the rate. The cost is granularity, since the oldest bucket ages out in whole seconds, which is far tighter than the decision needs.
4. Require a minimum sample before the circuit may open. A destination with three attempts and three failures reads as 100 percent and is not evidence; a floor of roughly 20 attempts in the window makes the ratio meaningful, and below that floor use a run of consecutive failures as the trigger instead.

Follow-up

• The fleet is 30 instances and each sees roughly a thirtieth of a destination's traffic. Where does the rate actually live, and what does a per-instance answer get wrong?
• A destination answers in 9.5 seconds and succeeds. It is not failing but it is consuming your per-destination concurrency. What signal should open the circuit here?

Collapse a redelivered event batch into per-aggregate high-water marks

Easy · hashing · at-least-once · aggregation

You drain a batch of up to 5,000,000 events, each (aggregate_id BIGINT, aggregate_version INT, event_type, payload). The log guarantees order within one aggregate only; the batch merges 64 partitions, and a relay failover has redelivered a range, so an older version for an aggregate can appear after a newer one. Given a map of last_applied_version per aggregate, produce the events worth applying, at most one per (aggregate_id, version), plus the count discarded. Target O(n) time. State the memory for 2,000,000 distinct aggregates and what you do when it does not fit.

Approach

1. One pass, one hash map from aggregate_id to the highest version kept, and a discard counter. An event whose version is at or below last_applied_version for its aggregate is dropped without further work, which is the whole reason the event carries its version rather than a delta. O(n) expected time, O(d) space in distinct aggregates.
2. Keep the maximum, never the last occurrence. The redelivered range means the final appearance of an aggregate in the batch can be an older version than one seen earlier in the same batch, so last-wins applies stale state over newer state and the projection regresses with no error anywhere.
3. Cost the memory instead of calling it large: an 8-byte key plus a 4-byte version is 12 bytes of payload, and an open-addressed table held at a 0.7 load factor costs roughly 17 bytes per entry before per-slot metadata, so 2,000,000 aggregates is tens of megabytes in a native layout and several times that in a runtime that boxes both key and value.
4. If the distinct set exceeds memory, partition on hash(aggregate_id) mod P and reduce each partition independently. Every event for one aggregate hashes to the same partition, so the per-partition result is exact and the merge is concatenation rather than a second reduction.

Follow-up

• The payload is a patch rather than a snapshot, so applying only the highest version loses the intermediate changes. What changes in your reduction?
• How do you detect that version 7 arrived while version 6 was never delivered, and what should the consumer do about the gap?

Canonicalise a request body into a stable idempotency fingerprint

Medium · parsing · canonicalisation · hashing

idempotency_key.request_fingerprint is a SHA-256 over the method, path and canonicalised body, and a retry whose fingerprint differs must be rejected with 422 rather than served the stored response. Write the canonicaliser. Bodies are JSON up to 256 KB nested at most 32 levels; clients vary key order, whitespace and unicode escaping, and some send 64-bit ids as JSON numbers. Produce a deterministic byte string such that semantically identical bodies match and any semantic difference does not. State your complexity and name two normalisations you refuse to perform.

Approach

1. Parse once into a tree, then re-serialise under fixed rules: object keys sorted, array order preserved, one escaping convention, no insignificant whitespace. Parsing is O(n) and sorting keys is O(k log k) per object, so O(n log n) overall with O(depth) stack, and the 32-level cap is enforced during parsing because hostile nesting is how a canonicaliser becomes a stack overflow.
2. Sort keys by their UTF-8 bytes and say why the obvious implementation is wrong in some runtimes: a default string comparison that orders by UTF-16 code units places surrogate pairs, meaning code points from U+10000 up, below U+E000 to U+FFFF, which is not UTF-8 byte order, so two services written in different languages disagree on the same document.
3. Do not re-encode numbers through a double. IEEE-754 binary64 represents integers exactly only up to 2^53, so normalising a 19-digit id through a float changes it, and 1 against 1.0 cannot be reconciled without deciding whether they are the same value. Preserve the literal token, and require ids as strings at the API boundary if you want them comparable.
4. Reject duplicate keys rather than picking one. JSON permits them and parsers disagree, most keeping the last, so any choice you make ties the fingerprint to a parser detail that the code handling the request does not necessarily share.

Follow-up

• A client sends the same logical request with an extra field your API ignores. Same key, different fingerprint, so you return 422. Is that the right answer?
• Where does the fingerprint get computed relative to request decompression and the body-size limit?

Explain the difference between various types of SQL joins and when to use a clustered index.

Medium · Technical Core & Frameworks

Approach

1. List the joins by what happens to unmatched rows: INNER keeps only matches; LEFT keeps every left row with NULLs on the right; RIGHT is the mirror; FULL OUTER keeps unmatched rows from both sides; CROSS returns the Cartesian product; a self join compares rows of one table, such as an employee with a manager.
2. Show the classic trap: a filter on the right table placed in WHERE after a LEFT JOIN discards the NULL rows and turns it into an inner join; put that condition in the ON clause instead. For 'rows with no match', use NOT EXISTS or LEFT JOIN ... WHERE right.key IS NULL, and warn that NOT IN returns nothing if the subquery yields a NULL.
3. Explain the clustered index (SQL Server): it is the table itself, with leaf pages holding the full rows in key order, so a table has at most one. A primary key becomes clustered by default when no clustered index exists, and every nonclustered index stores the clustering key as its row locator.
4. Choose the clustering key as narrow, unique, static and ever-increasing (an IDENTITY int or bigint): a wide key bloats every nonclustered index, and a random GUID from NEWID() inserts all over the B-tree, causing page splits and fragmentation (NEWSEQUENTIALID() reduces this).
5. Say when it pays off: range scans and ORDER BY on the key (date ranges, ordered ID ranges) read contiguous pages; point lookups on other columns need a nonclustered index, ideally covering through INCLUDE to avoid key lookups.

Follow-up

• What is a key lookup in an execution plan and how would you remove it?
• Why can a GUID primary key hurt insert performance, and what would you do about it?
• Rewrite a LEFT JOIN anti-join as NOT EXISTS and explain why NOT IN may give a different answer.

Explain why the owner filter ignores the listing index

Medium · composite index · query plans · sort elimination

The only index on resource is (tenant_id, status, updated_at DESC, resource_id DESC). A new endpoint returns one user's resources across all statuses, newest created first: WHERE tenant_id = $1 AND owner_user_id = $2 ORDER BY created_at DESC LIMIT 20. On a tenant with 2M rows it takes 900 ms and EXPLAIN shows a sort above a large scan. Explain precisely why the existing index cannot serve it, give the index that can, and state which of these the new index still will not help: owner_user_id alone across tenants; the same query ordered by updated_at. PostgreSQL 16.

Approach

1. Separate the two jobs an index does. For filtering, a composite btree is seekable only on a left prefix, so with no predicate on status the scan can at best range over tenant_id and test owner_user_id per row; PostgreSQL 16 has no btree skip scan to jump the unconstrained column.
2. For ordering, the index is sorted by (status, updated_at) within a tenant and not by created_at, so the LIMIT cannot stop early: every matching row is read and then sorted. That is the 'Sort Method: top-N heapsort' line, and it is why the plan reads 2M rows to answer with 20.
3. Derive the replacement from the access path — equality, equality, then the ordering column: CREATE INDEX CONCURRENTLY ON resource (tenant_id, owner_user_id, created_at DESC). The scan seeks to the (tenant, owner) range and walks 20 entries in order, so the Sort node disappears along with the row-read.
4. Treat INCLUDE (title, status) as conditional, not free. An index-only scan still visits the heap for any row whose page is not marked all-visible, so on a table taking 1.2k writes/second the win depends on autovacuum keeping the visibility map current, and the wider index costs more on every insert.

Follow-up

• 90% of rows are status='active'. Would a partial index WHERE status = 'active' change your answer, and for which of the three queries?
• A dashboard runs this for 40 owners in one page load. What changes about the design?

Explain the core principles of OOPs and how you implement them in your code.

Medium · Technical Core & Frameworks

Approach

1. Name the four pillars and give each a C# mechanism: encapsulation through private fields behind properties and access modifiers (private, protected, internal, public), abstraction through interfaces and abstract classes, inheritance through a base class, polymorphism through virtual/override and interface dispatch.
2. Separate the two kinds of polymorphism: compile-time (method overloading, resolved by signature) and runtime (an override chosen by the object's actual type through the virtual call). Note that the 'new' modifier hides a base method instead of overriding it, so a base-typed reference still calls the base version.
3. Contrast abstract classes and interfaces: a class inherits from one base but implements many interfaces; an abstract class can hold state and constructors, an interface defines a contract (default interface methods exist since C# 8, but they are no substitute for shared state).
4. Ground it in code you wrote: for example an IPaymentGateway or INotifier interface with two implementations injected through the constructor, which shows abstraction, polymorphism and testability (a fake in unit tests) in one example.
5. Close with the trade-off: prefer composition over deep inheritance trees, use sealed when a class is not designed for extension, and keep subclasses substitutable for their base (Liskov) so callers never need type checks.

Follow-up

• What is the difference between override and new on a method in C#, and what does a base-class reference call in each case?
• When would you choose an abstract class over an interface?
• Show a design where inheritance caused a problem and how composition would fix it.

How do you structure an application using MVC architecture?

Medium · Technical Core & Frameworks

Approach

1. Define the three parts concretely for ASP.NET Core MVC: models (domain entities plus view models shaped for one screen), Razor views that only render, and controllers whose actions take a bound request, call a service and return a result such as View(), RedirectToAction() or a JSON result.
2. Walk the request path: middleware pipeline, routing to a controller action, model binding, validation through data annotations and ModelState.IsValid, filters (authorization, action, exception), the action, then the result being rendered.
3. Keep controllers thin: business rules live in service classes registered in the built-in DI container and injected through constructors; data access goes through an EF Core DbContext (registered as scoped) or a repository, so logic is testable without HTTP.
4. Bind to view models or DTOs instead of entities to prevent over-posting, and map between them explicitly; return the view with errors on an invalid ModelState and use Post/Redirect/Get after a successful form post.
5. Mention a typical folder or project split (Web, Application/Services, Data) and the lifetime pitfall: a singleton that captures a scoped DbContext keeps one context alive across requests, which is a bug.

Follow-up

• Where does validation belong: in the model, the controller or the service layer, and why?
• How would you unit test a controller action that depends on a database?
• When would you pick a Web API controller or Razor Pages over classic MVC views?

How do you manage sessions in a web application?

Medium · Technical Core & Frameworks

Approach

1. Start from HTTP being stateless: the usual model is a random, unguessable session ID in a cookie that keys server-side state; the alternative is client-held state such as an encrypted auth cookie or a signed JWT.
2. Name the ASP.NET options: in ASP.NET Core, AddSession plus UseSession backed by IDistributedCache (in-memory per server, Redis or SQL Server); in classic ASP.NET Framework the modes are InProc, StateServer and SQLServer. Store small, serialisable values only, not whole object graphs.
3. Cover scale-out: in-process session breaks behind a load balancer unless sticky sessions are on, and sticky sessions lose state when a node restarts; a shared store such as Redis fixes both at the cost of a network hop per request.
4. Cover security: HttpOnly, Secure and SameSite on the cookie, issue a new session ID after login to stop session fixation, enforce idle and absolute expiry, clear server state on logout, and use antiforgery tokens because cookies are sent automatically (CSRF).
5. Note concurrency semantics: ASP.NET Core session does not lock, so concurrent requests writing the same key resolve as last write wins, whereas classic ASP.NET serialises requests that hold write access to the same session.

Follow-up

• How would you revoke a JWT before it expires, and what does that cost you compared with server-side sessions?
• What changes when the application moves from one server to several instances behind a load balancer?
• What is session fixation and how do you prevent it?

How would you integrate AI capabilities into our existing product lines?

Medium · RPA & AI Integration

Approach

1. Anchor on one concrete workflow step instead of 'add AI everywhere': a step where fixed rules break, such as classifying incoming emails or extracting fields from scanned documents, and state the baseline metric today (manual handling rate, error rate).
2. Put the model behind a service boundary: a versioned API or queue consumer that the existing application calls, so the model can be swapped or retrained without touching callers; run slow inference asynchronously through a queue rather than blocking a request thread.
3. Design for wrong answers: return a confidence score, auto-process above a threshold, route the rest to a human review queue, and keep the existing rule-based path as the fallback when the model service is down or times out.
4. Log inputs, outputs, model version and the human correction for every decision, so you can measure accuracy, retrain on corrections and audit any outcome; address data privacy (PII masking, where the model runs) before choosing a hosted or self-hosted model.
5. Roll out in stages: shadow mode alongside the current process, compare against the baseline, then enable for a share of traffic behind a feature flag with a rollback switch.

Follow-up

• How would you pick the confidence threshold, and what happens to throughput when you raise it?
• A new model version is less accurate on one document type; how would you detect and roll that back?
• What would you do if the data cannot leave the customer's environment?

What is your opinion on the future of AI in enterprise automation?

Medium · RPA & AI Integration

Approach

1. Give a clear position in one sentence, then support it; for example, that rule-based automation keeps the deterministic, high-volume steps while ML and language models take over the unstructured inputs (documents, emails, free text) and exception handling that rules cannot cover.
2. Name the limits honestly: model outputs are probabilistic and can be confidently wrong, results can vary between runs, decisions are harder to explain to auditors, and inference adds cost and latency compared with a scripted bot step.
3. Turn that into an engineering stance: deterministic orchestration with AI steps inside it, each gated by confidence thresholds, human review for low-confidence or high-impact cases, and full logging of inputs, outputs and model versions for audit.
4. Tie it to something you have built or used, such as an RPA flow (UiPath or similar) that failed on layout changes or unstructured input, and say what an AI step would have changed and what it would have risked.
5. Finish with what it means for the engineer's job: more work on evaluation sets, monitoring for drift, fallback paths and integration contracts, rather than hand-written screen-scraping rules.

Follow-up

• Where would you deliberately not use AI in an automation workflow?
• How would you explain or audit a decision a model made in a regulated process?
• How would you measure whether adding an AI step actually improved the process?

p99 jumped on one listing filter while p50 stayed flat

Medium · query planning · composite index · percentiles

After a release that added an owner_user_id filter to the resource listing, p99 rose from 90 ms to 1.9 s while p50 stayed at 40 ms. Traffic and row counts are unchanged. resource carries the index (tenant_id, status, updated_at DESC, resource_id DESC). The new query filters tenant_id and owner_user_id, orders by updated_at DESC, resource_id DESC, and takes 20 rows. On PostgreSQL, explain the shape of the regression, prove it from a query plan, and give the index you would add.

Approach

1. Start from the shape. A flat p50 with a moved p99 means a subset of requests changed cost, not all of them, so the first job is naming the subset. Bucket the endpoint's latency by the tenant's row count; the natural hypothesis is that large tenants are a small share of requests and all of the tail.
2. Get the plan for the new query on a large tenant with EXPLAIN (ANALYZE, BUFFERS). Expect an index scan over the tenant's range, a filter discarding most of it, then a Sort feeding the Limit, possibly reporting Sort Method: external merge Disk. Read actual rows on the scan node, not estimated.
3. Explain why the existing index cannot serve it. A composite B-tree is seekable only as a left prefix, and with no equality predicate on status the scan cannot treat updated_at as an ordering, because rows in the tenant's range are ordered by status first. Everything matching must be read and sorted before LIMIT 20 can apply, so a tenant with 400,000 rows pays 400,000 rows to return 20.
4. Add (tenant_id, owner_user_id, updated_at DESC, resource_id DESC). Equality on the first two columns leaves the index ordered by updated_at within that pair, so the plan becomes an index scan that stops after 20 rows with no Sort node. PostgreSQL can scan a B-tree backwards, so the DESC markers matter only if the two sort columns ever disagree in direction; keeping them explicit documents the order the keyset cursor depends on.

Follow-up

• The endpoint paginates with OFFSET. What does page 500 cost with your index, and what does the keyset version cost?
• How would you have caught this before release, given that a 10,000-row seed database produces the same plan shape at an unnoticeable cost?

Suggested practice checklist

The plan follows the reported loop: fundamentals for the screening, SQL and architecture for the deep dive, then RPA and AI, and finally the stories for the managerial round. Each day ends with something you can speak aloud.

Day 1 — Map the loop and audit your resume

• Write the three reported rounds (Technical Screening, Deep-Dive Coding, Managerial Evaluation) and list the topics you would be asked in each type of round.
• List every technology on your resume and mark the ones you could discuss in depth; delete or prepare the rest.
• Pick the two projects you will use as your main stories and note your own role in each.

Deliverable: A one-page loop map, a resume audit marking each technology as strong or weak, and the two chosen projects with your role written beside each.

Day 2 — OOP, polymorphism and deadlock in C#

• Write a short C# example for each OOP principle and explain method overriding versus overloading aloud.
• Write a C# snippet where two threads take two locks in opposite order, explain the circular wait, then fix it with consistent lock ordering.
• Answer the OOP question aloud without notes.

Deliverable: A set of C# snippets covering the four OOP principles and a deadlock with its fix, plus one spoken answer to the OOP question.

Day 3 — MVC structure and web sessions

• Draw an MVC application for a small feature and mark where validation, business logic and data access sit.
• Compare in-process, shared-store and token-based session handling and note what breaks when you run several servers.
• Answer both the MVC and the session questions aloud.

Deliverable: An MVC diagram, a comparison table of session options with their multi-server failure modes, and spoken answers to both questions.

Day 4 — SQL joins and clustered indexes

• Build two small tables with unmatched rows and run inner, left, right and full outer joins, writing down which rows each keeps.
• Write down what a clustered index is, why there is one per table and how a nonclustered index differs.
• Work through the practice SQL exercise on a filter that ignores an index, and say why the filter defeats it.

Deliverable: A join-results sheet for the two tables, a written clustered versus nonclustered comparison, and the explanation for the ignored-index exercise.

Day 5 — RPA and AI integration

• Outline your RPA experience, or the nearest automation work you have done, using process, trigger, exception handling and result.
• Sketch an AI integration for an existing product: call boundary, timeout and retry, low-confidence fallback, human review, logging.
• Write and say aloud a balanced opinion on AI in enterprise automation with one benefit and one limitation.

Deliverable: An RPA story outline, a one-page AI integration sketch, and a spoken opinion on the future of AI in enterprise automation.

Day 6 — Project, challenge and stakeholder stories

• Write your .NET and C# experience answer around one project with a decision, a trade-off and a measured problem.
• Write a challenging-scenario story in STAR form with the diagnosis steps and a measured result.
• Write a shifting-requirements story showing how you clarified, priced and communicated the change, then say each aloud.

Deliverable: Three written stories (project depth, challenge, shifting requirements) and a spoken run-through of each in first person.

Day 7 — Introduction, motivation and a full mock

• Write and rehearse your 'tell me about yourself' answer and your reason for choosing AntWorks, built from your own research.
• Run a mock of the whole loop in order: fundamentals, deep dive, then managerial questions about career goals.
• Practise the debugging exercise on one slow filter, since troubleshooting system issues is part of the described role.

Deliverable: A polished introduction, a company-specific motivation answer, and notes from one full spoken mock marking the weakest answers to repeat.

Behavioral preparation for the AntWorks loop

The behavioral questions candidates report are a short, familiar set, and the final Managerial Evaluation is described as covering long-term career goals and behavioral strengths. For a Software Engineer, the strongest stories show work you personally owned, the technical reasoning behind it, and a measured result. Prepare a few stories that can answer several of these questions.

1. Discuss your experience with .NET and C# development.

Discuss your experience with.NET and C# development.

Medium · Technical Core & Frameworks

Approach

1. Frame the answer as a project tour with depth, not a keyword list: name one or two real projects, your own responsibility in each, and the layers you worked in (UI or controllers, business logic, data access, deployment).
2. Pick specifics of C# and .NET you actually used and can defend, such as async/await for I/O, LINQ, generics, interfaces for testability or dependency injection, and say why each was the right choice.
3. Include one decision with a trade-off (for example a stored procedure versus query code, or synchronous versus asynchronous calls) and one problem you diagnosed, saying what you measured before and after.
4. Mention only technologies you can be questioned on in depth; candidates report that anything on the resume is fair game. State plainly what you have used lightly.
5. Close by connecting your experience to the Microsoft-stack work the role describes, in one sentence, without flattery.

Follow-up

• Which C# or .NET feature would you avoid using again, and why?
• How did your .NET code talk to the database, and how did you keep that efficient?
• What would you change about that project if you rebuilt it today?

Describe your experience working on RPA (Robotic Process Automation) projects.

Medium · RPA & AI Integration

Approach

1. If you have RPA experience, start with the process you automated and why it was a good candidate (repetitive, rule-based, high volume), then the tool you used, UiPath if that is true.
2. Describe the design of the automation: what triggered it, how it read and wrote data, how credentials were handled, and how it dealt with exceptions, retries and a run that failed midway through a batch.
3. Cover maintenance honestly: UI selectors breaking when the target application changed, logging and monitoring, and who handled a failed run.
4. Give a result in your own measured terms (hours saved, error rate, volume) and what you personally built versus what others did.
5. If you have no RPA experience, say so, then describe the closest work you have done (scheduled jobs, integrations, scripts replacing manual steps) and how you would learn UiPath. Never claim a tool you cannot discuss.

Follow-up

• What happened when the application the bot drove changed its screen?
• How did you decide a process was worth automating at all?
• How would you make a failed run safe to restart without repeating work already done?

Tell me about yourself and your professional journey.

Medium · Behavioral & Situational

Approach

1. Use a present, past, future shape: what you do now and the stack you work in, the one or two earlier steps that explain how you got here, then why this Software Engineer role is the next step.
2. Pick the parts of your journey that match the role: .NET, C#, SQL, web applications, and any automation or AI exposure. Leave out unrelated detail.
3. Include one concrete accomplishment with a result, so the answer has substance beyond job titles.
4. Keep it short enough to leave room for follow-up questions; end on the future, because candidates report that long-term goals come up in the final round.

Follow-up

• Which project from that story are you proudest of, and what was your part in it?
• Why are you leaving your current role, or why this move now?
• Where do you want your career to be in a few years?

Why do you want to work at AntWorks?

Medium · Behavioral & Situational

Approach

1. Research the company's automation and AI products yourself before the call, and anchor your answer in something you actually found, not in a general statement about innovation.
2. Link it to your own experience: for example, your .NET and SQL application work plus an interest in automating business workflows, or a specific process you wanted to automate.
3. Say what you want to learn or build in this role, and why that fits a Software Engineer working with AI and RPA tools.
4. Keep the answer about the work. Avoid flattery, repeating the company tagline, and leading with pay or convenience.

Follow-up

• What do you already know about the company's products?
• Where do you think AI fits into business automation, and where does it not?
• What else are you considering, and what would make you choose this role?

Describe a challenging scenario from a previous project and how you resolved it.

Medium · Behavioral & Situational

Approach

1. Choose a challenge you owned, ideally with an unclear cause: a production defect, a deadlock, a slow query or a deadline under pressure. Candidates are told to expect real scenarios from past work.
2. Use STAR but spend most of the time on action: state the situation in two sentences, the goal, then your steps in order (reproduce, form a hypothesis, check it, fix, verify).
3. Show the technical reasoning with specifics: what log, query plan or trace you used and what it showed.
4. End with a measured result, what you learned, and one thing you would do differently. A story with no result or no lesson sounds unfinished.

Follow-up

• How did you confirm the fix actually worked and did not just hide the symptom?
• What would you do differently if it happened again?
• Who disagreed with your approach, and how did you resolve it?

How do you handle working with different stakeholders or shifting project requirements?

Medium · Behavioral & Situational

Approach

1. Use one real story where requirements changed mid-project or two stakeholders wanted different things, and say what exactly changed and why.
2. Show the sequence: clarify the new need, estimate the impact on scope, time and risk, then present the trade-off in business terms and agree what moves or drops.
3. Describe how you protected the code: smaller increments, interfaces or configuration that absorb change, and tests for what already worked.
4. Name how you kept stakeholders aligned afterwards, such as a short written summary of the decision. Do not blame stakeholders or say you just adapted with no detail.

Follow-up

• What do you do when two stakeholders want conflicting things?
• How do you push back on a change that arrives close to a release?
• How did you keep quality up while the scope kept shifting?