Interview guides · The Buffalo Group
The Buffalo Group Software Engineer Interview Guide
The Buffalo Group Software Engineer interview guide: reported rounds, questions and how candidates describe the process.
The 60-second brief
At The Buffalo Group, a Software Engineer plays a crucial role in designing, developing, and maintaining complex software systems that support critical government, defense, and intelligence missions. Operating in high-stakes environments, engineers here build secure, reliable, and scalable applications that process vast amounts of data. The work directly impacts national security and intelligence operations, making the reliability and performance of your code paramount. As a Software Engineer, you will work on modernizing legacy systems, building robust data pipelines, and creating intuitive user interfaces. The challenges you will tackle range from optimizing database queries to developing secure backend services.
This guide is scoped to a Software Engineer candidate at The Buffalo Group.
Focus areas
- Software Engineering (General)
- Coding Experience (Interview Discussion)
- Technical Interviewing
The The Buffalo Group interview process
The Buffalo Group candidates report 4 rounds over 3-5 weeks. The stages below are what candidates describe, not a published process.
Recruiter Screening
Initial discussion about your background, technical knowledge, and salary expectations.
What to demonstrate
- Initial discussion about your background, technical knowledge, and salary expectations
- Depth in Software Engineering (General)
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.
Online Technical Assessment
Complete an online assessment to evaluate your technical skills.
What to demonstrate
- Complete an online assessment to evaluate your technical skills
- Depth in Software Engineering (General)
How to prepare
- Answer aloud and timed: What are the primary differences between object-oriented programming in C++ and interpreted languages like JavaScript?
- Answer aloud and timed: Describe the box model in HTML and how it affects layout rendering.
Technical Interview
Interview with a hiring manager focusing on your technical capabilities.
What to demonstrate
- Interview with a hiring manager focusing on your technical capabilities
- Depth in Software Engineering (General)
How to prepare
- Answer aloud and timed: How would you handle state management in a modern frontend application?
- Answer aloud and timed: Walk me through a complex technical challenge you solved in your previous role as a Software Engineer.
Management and Cultural Fit Interview
Final interview assessing your fit within the company culture and management style.
What to demonstrate
- Final interview assessing your fit within the company culture and management style
- Depth in Software Engineering (General)
How to prepare
- Answer aloud and timed: What is your preferred programming language, and why? Be prepared to discuss your experience using it.
- Answer aloud and timed: How do you ensure code quality and maintainability when working on a shared codebase?
Where candidates lose points
Prepare for rapid-fire questions
The online assessment requires quick decision-making. Brush up on your basic SQL joins, HTML tags, and fundamental C++ syntax so you can answer confidently under tight time constraints.
The online assessment has a strict timer of approximately 15 seconds per question
Do not overthink your answers; focus on core syntax and quick recall.
Highlight your practical experience
During the live interviews, focus on describing real-world projects you have delivered. Be ready to explain the "why" behind your technical choices, especially when discussing your experience with JavaScript or other preferred languages.
Questions & practice
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
- 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.
- 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.
- 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.
- 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?
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
- 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.
- 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.
- 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.
- 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?
Merge partitioned event streams into one ordered feed with bounded lateness
Hard · k-way merge · watermarks · out-of-order streams
The read-model service consumes 64 log partitions carrying about 4,000 events per second in total. Each partition is ordered within itself, but partitions drift by up to 30 seconds, and the activity feed must present a tenant's events in occurred_at order. Produce the merge. State its complexity, the buffer it requires in events and in bytes, what happens when one partition is idle, and what you do with an event that arrives after you have already emitted its position. Payloads average 1 KB.
Approach
- Merge with a min-heap over the 64 partition heads keyed on (occurred_at, event_id): O(log P) per event and O(n log P) overall. The tie-break on event_id is what makes the output deterministic when two partitions carry the same millisecond, which matters because the feed is paginated and a non-deterministic order reorders pages under the reader.
- Emitting the heap head is only correct once every partition has produced everything up to that timestamp, so the emit condition is a watermark: the minimum across partitions of the highest occurred_at seen, less the allowed lateness. Events are held until the watermark passes them, which is what turns individually ordered streams into a jointly ordered one.
- Size the buffer from the lateness rather than guessing: 4,000 events per second times 30 seconds is 120,000 buffered events, and at 1 KB each about 120 MB of heap. That number is the real price of the ordering guarantee and belongs in front of whoever asked for it.
- Handle the idle partition explicitly, because it fails the feed rather than corrupting it: a partition with no traffic never advances its own maximum, so the watermark freezes and output stops entirely. Either every partition emits a periodic idle marker carrying the broker's current time, or the watermark falls back to wall clock for a partition silent beyond a threshold.
Follow-up
- The lateness budget is raised to five minutes. What is the new buffer, and what besides memory changes?
- The consumer restarts. Where does it resume from, and what does the feed look like for the first 30 seconds?
Explain the difference between an inner join and an outer join in SQL.
Medium · Technical Fundamentals & Databases
Approach
- Name the grain you start from and join outward from it.
- Check whether any join is one-to-many before aggregating, or the sums inflate.
- Say which index the query would use, and what makes it unusable.
- 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?
How do you optimize a slow-running database query?
Medium · Technical Fundamentals & Databases
Approach
- Name the grain you start from and join outward from it.
- Check whether any join is one-to-many before aggregating, or the sums inflate.
- Say which index the query would use, and what makes it unusable.
- 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?
What are the primary differences between object-oriented programming in C++ and interpreted languages like Jav
Medium · Technical Fundamentals & Databases
What are the primary differences between object-oriented programming in C++ and interpreted languages like JavaScript?
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
Describe the box model in HTML and how it affects layout rendering.
Medium · Technical Fundamentals & Databases
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- 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 would you handle state management in a modern frontend application?
Medium · Technical Fundamentals & Databases
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
Walk me through a complex technical challenge you solved in your previous role as a Software Engineer.
Medium · Experience & Project Walkthroughs
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- 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 ensure code quality and maintainability when working on a shared codebase?
Medium · Experience & Project Walkthroughs
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- 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 approach debugging a critical production issue under tight deadlines?
Medium · Experience & Project Walkthroughs
Approach
- Establish what changed and when, before forming any theory.
- Pick a bisection that eliminates candidates whichever way it turns out.
- Check the instrumentation before believing the symptom.
- 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 The Buffalo Group candidates report.
Day 1 — Map the The Buffalo Group loop
- Write out the reported sequence: Recruiter Screening, Online Technical Assessment, Technical Interview, Management and Cultural Fit Interview.
- 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 4 reported rounds, with the weakest marked.
Day 2 — Work Software Engineering (General)
- Spend the session on Software Engineering (General), which The Buffalo Group candidates report being tested on.
- Write one worked example in Software Engineering (General) and time yourself on it.
Deliverable: One timed worked example in Software Engineering (General).
Day 3 — Work Coding Experience (Interview Discussion)
- Spend the session on Coding Experience (Interview Discussion), which The Buffalo Group candidates report being tested on.
- Write one worked example in Coding Experience (Interview Discussion) and time yourself on it.
Deliverable: One timed worked example in Coding Experience (Interview Discussion).
Day 4 — Work Technical Interviewing
- Spend the session on Technical Interviewing, which The Buffalo Group candidates report being tested on.
- Write one worked example in Technical Interviewing and time yourself on it.
Deliverable: One timed worked example in Technical Interviewing.
Day 5 — Answer out loud: Technical Fundamentals & Databases
- Answer aloud, timed: Explain the difference between an inner join and an outer join in SQL.
- Answer aloud, timed: How do you optimize a slow-running database query?
Deliverable: Spoken answers to 2 reported Technical Fundamentals & Databases question(s), under time.
Day 6 — Answer out loud: Experience & Project Walkthroughs
- Answer aloud, timed: Walk me through a complex technical challenge you solved in your previous role as a Software Engineer.
- Answer aloud, timed: What is your preferred programming language, and why? Be prepared to discuss your experience using it.
Deliverable: Spoken answers to 2 reported Experience & Project Walkthroughs question(s), under time.
Day 7 — Answer out loud: Behavioral & Career Growth
- Answer aloud, timed: Why are you interested in joining The Buffalo Group, and how does this role align with your career goals?
- Answer aloud, timed: What are your expectations regarding mentorship and advancement opportunities within the company?
Deliverable: Spoken answers to 2 reported Behavioral & Career Growth question(s), under time.
Behavioural preparation
Behavioural rounds judge the decision you made and what it cost.
What is your preferred programming language, and why? Be prepared to discuss your experience using it.
Medium · Experience & Project Walkthroughs
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- 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 time when you had to integrate a new technology or framework into an existing system.
Medium · Experience & Project Walkthroughs
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- 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 The Buffalo Group, and how does this role align with your career goals?
Medium · Behavioral & Career Growth
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- 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?
What are your expectations regarding mentorship and advancement opportunities within the company?
Medium · Behavioral & Career Growth
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- 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 from a peer or a manager during a code review?
Medium · Behavioral & Career Growth
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- 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 work with a difficult stakeholder or team member. How did you resolve it
Medium · Behavioral & Career Growth
Describe a situation where you had to work with a difficult stakeholder or team member. How did you resolve it?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- 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?