AgreeYa Solutions Software Engineer Interview Guide

The 60-second brief

AgreeYa Solutions hires Software Engineers; this guide collects what candidates report about the process.

This guide is scoped to a Software Engineer candidate at AgreeYa Solutions.

Focus areas

• SQL
• SQL Server
• Technical skills evaluation

The AgreeYa Solutions interview process

AgreeYa Solutions candidates report 3 rounds over 3-5 weeks. The stages below are what candidates describe, not a published process.

Recruiter Screening

Initial screening by a recruiter to evaluate candidate's background and fit for the role.

What to demonstrate

• Initial screening by a recruiter to evaluate candidate's background and fit for the role
• Depth in SQL

How to prepare

• Be able to walk your CV end to end in two minutes, and say why this company specifically.
• Have your salary expectations, notice period and location constraints ready, and ask for the rest of the loop in writing.

Technical Rounds

Rigorous technical interviews to assess problem-solving skills and technical competency.

What to demonstrate

• Rigorous technical interviews to assess problem-solving skills and technical competency
• Depth in SQL

How to prepare

• Answer aloud and timed: How do you design and consume RESTful APIs, and what strategies do you use for API versioning and security?
• Answer aloud and timed: Walk me through your approach to database schema design for a high-traffic web application.

Managerial Evaluation

Final evaluation by a manager or client to assess cultural alignment and overall fit.

What to demonstrate

• Final evaluation by a manager or client to assess cultural alignment and overall fit
• Depth in SQL

How to prepare

• Answer aloud and timed: How do you implement asynchronous programming or manage middleware servers in your applications?
• Answer aloud and timed: How would you approach building a microservice architecture using Spring Boot or Node.js?

Where candidates lose points

Ground your answers in real experience

When asked about past projects, avoid generic buzzwords and explain specific technical contributions you made, especially regarding database design and API architecture.

Master the fundamentals of your stack

Ensure you can fluently discuss exception handling, database joins, and core framework principles without hesitation.

Structure your troubleshooting responses

When presented with a debugging scenario, state your diagnostic steps methodically—starting with log verification, moving to hypothesis testing, and ending with permanent remediation.

Emphasize client communication

Highlight any prior experience where you successfully translated technical concepts for non-technical stakeholders or managed client expectations under tight deadlines.

Prepare questions for your interviewers

Ask thoughtful questions about the team's deployment pipeline, code review practices, and how they handle client requirements gathering to show genuine engagement.

Questions & practice

How do you implement asynchronous programming or manage middleware servers in your applications?

Medium · Technical and Core Development

Approach

1. Say what the runtime actually does before reasoning about the code.
2. Name what is shared across threads and what owns each piece of state.
3. Identify the window where an invariant is briefly untrue.
4. Distinguish a value from a reference to it, and say which one you handed out.

Follow-up

• What happens if two callers reach this at the same time?
• Where could this allocate more than you expect?

Archive a resource graph without breaking live references or recursing

Medium · graph traversal · topological order · tenant isolation

Resources reference other resources within a tenant; for the largest tenant the reference table holds up to 2,000,000 nodes and 8,000,000 edges. Archiving a resource must archive everything reachable from it that nothing outside the set still references, refuse when a live external referrer exists, and terminate when references form cycles, which they legitimately do. Produce the archive order and the refusal list, targeting O(V+E). Say what stops the traversal crossing a tenant boundary, and why recursion is the wrong control structure at this size.

Approach

1. Load the subgraph with the tenant predicate on both endpoints of the edge, not only on the side you started from. Scoping the left table alone is the classic cross-tenant leak: one mis-entered edge then pulls another tenant's resources into the traversal and, worse, into the archive.
2. Traverse iteratively with an explicit stack. A 2,000,000-node graph can hold a chain deep enough to exhaust a native stack in the low tens of thousands of frames, and that failure is a process crash rather than an error you can return.
3. Treat cycles as data rather than corruption: compute strongly connected components with Tarjan in O(V+E) using its own explicit stack, then condense. The condensation is a DAG, so a topological order over it gives the archive order, and every member of a component archives in one transaction because no order within a cycle is valid.
4. Decide refusals with reverse edges. A candidate is archivable only if every in-edge originates inside the candidate set, so build the transpose or count in-degrees restricted to the visited set, and emit each blocked resource with the id of the external referrer, which is the only part of the answer an operator can act on.

Follow-up

• The graph is read in one query and the archive writes a minute later. What can change in between, and how do you make the write safe?
• The candidate set is 400,000 resources. Is that one transaction, and if not, what does a half-finished archive look like to a reader?

Diff a projection against the primary without per-row point reads

Hard · reconciliation · range hashing · throttling

The listing projection has drifted and some rows show a stale version. The primary holds 40,000,000 resource rows across 12,000 tenants while serving 1,200 writes and 14,000 reads per second. The obvious repair, reading each resource row and comparing its version against the projection, is correct and would eventually finish. Explain precisely why it is unacceptable here, then give a diff that finds the differing rows, state its complexity, and make it safe to run against a live primary. Replication lag is usually under 100 ms and is not bounded.

Approach

1. Quantify the naive cost rather than calling it slow: 40,000,000 point reads at even 0.5 ms each is over five hours serialised, and the only lever is concurrency, which is exactly what you cannot spend. The primary's pool is sized for the write path, and 40,000,000 random reads evict the buffer cache that sustains the 85 percent cache hit rate, so the audit degrades the system it is auditing.
2. Replace random access with one ordered pass per side. Both sides can be read in (tenant_id, resource_id) order, which is a sequential scan on each and a merge join in O(n) time and O(1) memory. For a dense diff that is the whole answer, and it reads the primary once instead of 40,000,000 times.
3. For the expected sparse case, compare range hashes instead of rows: partition the key space, compute per range an order-independent aggregate over hash(resource_id, version), compare aggregates, and descend only into ranges that differ. With d differing rows and branching factor B, at most d ranges mismatch per level, so the drill-down examines O(d log_B(n/d)) ranges and reads full rows only in mismatching leaves.
4. Aggregate with a sum modulo 2^64 or a multiset hash, never XOR. XOR is order-independent but self-cancelling, so two rows wrong in the same way, or a row duplicated on one side, leave the range aggregate matching and the range is declared clean.

Follow-up

• The diff reports 900 stale rows. How do you decide between patching those rows and rebuilding the projection from resource_revision?
• Same job, but the projection lives in a search index that cannot be scanned in key order. What changes?

What is the difference between a SQL join, a stored procedure, and a database function, and when would you use

Medium · Technical and Core Development

What is the difference between a SQL join, a stored procedure, and a database function, and when would you use each?

Approach

1. Name the grain you start from and join outward from it.
2. Check whether any join is one-to-many before aggregating, or the sums inflate.
3. Say which index the query would use, and what makes it unusable.
4. Handle the rows that do not match: that is usually the actual question.

Follow-up

• How does the query change if that join becomes one-to-many?
• What happens to this when the table is ten times larger?

Walk me through your approach to database schema design for a high-traffic web application.

Medium · Technical and Core Development

Approach

1. Name the grain you start from and join outward from it.
2. Check whether any join is one-to-many before aggregating, or the sums inflate.
3. Say which index the query would use, and what makes it unusable.
4. Handle the rows that do not match: that is usually the actual question.

Follow-up

• How does the query change if that join becomes one-to-many?
• What happens to this when the table is ten times larger?

Can you describe a scenario where you had to optimize a slow-running SQL query or database transaction?

Medium · Problem-Solving and Troubleshooting

Approach

1. Name the grain you start from and join outward from it.
2. Check whether any join is one-to-many before aggregating, or the sums inflate.
3. Say which index the query would use, and what makes it unusable.
4. Handle the rows that do not match: that is usually the actual question.

Follow-up

• How does the query change if that join becomes one-to-many?
• What happens to this when the table is ten times larger?

Can you explain how you handle exception handling and error logging in your preferred programming language?

Medium · Technical and Core Development

Approach

1. Clarify what is being asked and what a complete answer contains.
2. State your assumptions explicitly before working the problem.
3. Say what you would check first and why it is the highest-information step.
4. Work from the requirement backwards to the design.

Follow-up

• What assumption would you test first?
• How would you know your answer was wrong?

How do you design and consume RESTful APIs, and what strategies do you use for API versioning and security?

Medium · Technical and Core Development

Approach

1. Say who the caller is and what they do when the call fails halfway.
2. Define the identity of a request so a retry cannot double-apply it.
3. Separate accepted, pending, failed and confirmed; they are different facts.
4. Design the error taxonomy before the success shape; callers branch on it.

Follow-up

• What happens if the caller retries after a timeout?
• How does a client discover it is on an old version of this contract?

How would you approach building a microservice architecture using Spring Boot or Node.js?

Medium · Architecture and System Design

Approach

1. Fix the scope first: who calls this, how often, and what they do when it fails.
2. Name the read and write paths separately; they rarely have the same bottleneck.
3. Choose a partition key and say what query it makes expensive.
4. State the consistency you need, and where you are willing to be stale.

Follow-up

• What breaks first when traffic grows ten times?
• How does this behave when that dependency is down for an hour?

What key factors do you consider when migrating a legacy web application to a modern cloud-native framework?

Medium · Architecture and System Design

Approach

1. Fix the scope first: who calls this, how often, and what they do when it fails.
2. Name the read and write paths separately; they rarely have the same bottleneck.
3. Choose a partition key and say what query it makes expensive.
4. State the consistency you need, and where you are willing to be stale.

Follow-up

• What breaks first when traffic grows ten times?
• How does this behave when that dependency is down for an hour?

How do you ensure high availability, fault tolerance, and resiliency in distributed systems?

Medium · Architecture and System Design

Approach

1. Fix the scope first: who calls this, how often, and what they do when it fails.
2. Name the read and write paths separately; they rarely have the same bottleneck.
3. Choose a partition key and say what query it makes expensive.
4. State the consistency you need, and where you are willing to be stale.

Follow-up

• What breaks first when traffic grows ten times?
• How does this behave when that dependency is down for an hour?

What strategies do you employ for effective caching and data retrieval using tools like Redis or MongoDB?

Medium · Architecture and System Design

Approach

1. Fix the scope first: who calls this, how often, and what they do when it fails.
2. Name the read and write paths separately; they rarely have the same bottleneck.
3. Choose a partition key and say what query it makes expensive.
4. State the consistency you need, and where you are willing to be stale.

Follow-up

• What breaks first when traffic grows ten times?
• How does this behave when that dependency is down for an hour?

Explain how you would troubleshoot a performance bottleneck in a production web or middleware application.

Medium · Architecture and System Design

Approach

1. Establish what changed and when, before forming any theory.
2. Pick a bisection that eliminates candidates whichever way it turns out.
3. Check the instrumentation before believing the symptom.
4. Separate the trigger from the cause; the deploy is rarely the bug.

Follow-up

• What would you look at first, and what would it rule out?
• How would you tell a cause from a coincidence here?

Tell me about a time you had to perform a root cause analysis for a critical production incident.

Medium · Problem-Solving and Troubleshooting

Approach

1. Establish what changed and when, before forming any theory.
2. Pick a bisection that eliminates candidates whichever way it turns out.
3. Check the instrumentation before believing the symptom.
4. Separate the trigger from the cause; the deploy is rarely the bug.

Follow-up

• What would you look at first, and what would it rule out?
• How would you tell a cause from a coincidence here?

How do you approach debugging an unfamiliar codebase when time is constrained?

Medium · Problem-Solving and Troubleshooting

Approach

1. Establish what changed and when, before forming any theory.
2. Pick a bisection that eliminates candidates whichever way it turns out.
3. Check the instrumentation before believing the symptom.
4. Separate the trigger from the cause; the deploy is rarely the bug.

Follow-up

• What would you look at first, and what would it rule out?
• How would you tell a cause from a coincidence here?

What steps do you take to verify code quality and performance before deploying to a staging or production envi

Medium · Problem-Solving and Troubleshooting

What steps do you take to verify code quality and performance before deploying to a staging or production environment?

Approach

1. Establish what changed and when, before forming any theory.
2. Pick a bisection that eliminates candidates whichever way it turns out.
3. Check the instrumentation before believing the symptom.
4. Separate the trigger from the cause; the deploy is rarely the bug.

Follow-up

• What would you look at first, and what would it rule out?
• How would you tell a cause from a coincidence here?

Suggested practice checklist

Built from the rounds and topics AgreeYa Solutions candidates report.

Day 1 — Map the AgreeYa Solutions loop

• Write out the reported sequence: Recruiter Screening, Technical Rounds, Managerial Evaluation.
• For each round, write one sentence on what it is judging, from the description above, and mark the one you are least ready for.

Deliverable: A one-page map of the 3 reported rounds, with the weakest marked.

Day 2 — Work SQL

• Spend the session on SQL, which AgreeYa Solutions candidates report being tested on.
• Write one worked example in SQL and time yourself on it.

Deliverable: One timed worked example in SQL.

Day 3 — Work SQL Server

• Spend the session on SQL Server, which AgreeYa Solutions candidates report being tested on.
• Write one worked example in SQL Server and time yourself on it.

Deliverable: One timed worked example in SQL Server.

Day 4 — Work Technical skills evaluation

• Spend the session on Technical skills evaluation, which AgreeYa Solutions candidates report being tested on.
• Write one worked example in Technical skills evaluation and time yourself on it.

Deliverable: One timed worked example in Technical skills evaluation.

Day 5 — Answer out loud: Technical and Core Development

• Answer aloud, timed: Can you explain how you handle exception handling and error logging in your preferred programming language?
• Answer aloud, timed: What is the difference between a SQL join, a stored procedure, and a database function, and when would you use each?

Deliverable: Spoken answers to 2 reported Technical and Core Development question(s), under time.

Day 6 — Answer out loud: Architecture and System Design

• Answer aloud, timed: How would you approach building a microservice architecture using Spring Boot or Node.js?
• Answer aloud, timed: What key factors do you consider when migrating a legacy web application to a modern cloud-native framework?

Deliverable: Spoken answers to 2 reported Architecture and System Design question(s), under time.

Day 7 — Answer out loud: Problem-Solving and Troubleshooting

• Answer aloud, timed: Tell me about a time you had to perform a root cause analysis for a critical production incident.
• Answer aloud, timed: How do you approach debugging an unfamiliar codebase when time is constrained?

Deliverable: Spoken answers to 2 reported Problem-Solving and Troubleshooting question(s), under time.

Behavioural preparation

Behavioural rounds judge the decision you made and what it cost.

How do you handle conflicting requirements when designing a technical solution for a client?

Medium · Problem-Solving and Troubleshooting

Approach

1. Pick a story where you made the decision, not one where you watched it.
2. State the situation in two sentences and spend the rest on the reasoning.
3. Give the blast radius: what could have broken, and what you measured.
4. Name the disagreement and how you resolved it with evidence.

Follow-up

• What would you do differently if you ran that again?
• How did you know your change caused the improvement?

Walk me through a complex project from your past experience where you owned a major technical deliverable.

Medium · Behavioral and Past Experience

Approach

1. Pick a story where you made the decision, not one where you watched it.
2. State the situation in two sentences and spend the rest on the reasoning.
3. Give the blast radius: what could have broken, and what you measured.
4. Name the disagreement and how you resolved it with evidence.

Follow-up

• What would you do differently if you ran that again?
• How did you know your change caused the improvement?

How do you manage communication and expectations when working with non-technical stakeholders or external clie

Medium · Behavioral and Past Experience

How do you manage communication and expectations when working with non-technical stakeholders or external clients?

Approach

1. Pick a story where you made the decision, not one where you watched it.
2. State the situation in two sentences and spend the rest on the reasoning.
3. Give the blast radius: what could have broken, and what you measured.
4. Name the disagreement and how you resolved it with evidence.

Follow-up

• What would you do differently if you ran that again?
• How did you know your change caused the improvement?

Describe a situation where you had to quickly learn a new technology or framework to meet a project deadline.

Medium · Behavioral and Past Experience

Approach

1. Pick a story where you made the decision, not one where you watched it.
2. State the situation in two sentences and spend the rest on the reasoning.
3. Give the blast radius: what could have broken, and what you measured.
4. Name the disagreement and how you resolved it with evidence.

Follow-up

• What would you do differently if you ran that again?
• How did you know your change caused the improvement?

How do you handle constructive feedback on your code during peer reviews?

Medium · Behavioral and Past Experience

Approach

1. Pick a story where you made the decision, not one where you watched it.
2. State the situation in two sentences and spend the rest on the reasoning.
3. Give the blast radius: what could have broken, and what you measured.
4. Name the disagreement and how you resolved it with evidence.

Follow-up

• What would you do differently if you ran that again?
• How did you know your change caused the improvement?

Why are you interested in joining AgreeYa Solutions, and how does your background align with our service deliv

Medium · Behavioral and Past Experience

Why are you interested in joining AgreeYa Solutions, and how does your background align with our service delivery model?

Approach

1. Pick a story where you made the decision, not one where you watched it.
2. State the situation in two sentences and spend the rest on the reasoning.
3. Give the blast radius: what could have broken, and what you measured.
4. Name the disagreement and how you resolved it with evidence.

Follow-up

• What would you do differently if you ran that again?
• How did you know your change caused the improvement?