Aveva Software Engineer Interview Guide

The 60-second brief

As a Software Engineer at Aveva, you play a direct role in building advanced industrial software solutions that power critical infrastructure around the globe. From enterprise cloud platforms and industrial AI services to digital twin simulation engines and control emulation systems, your work directly enables organizations in energy, manufacturing, infrastructure, and engineering to optimize complex operations. The software you design and maintain must meet rigorous standards for reliability, scalablity, and performance, managing massive streams of real-time data while providing intuitive user interfaces. You will join collaborative, cross-functional R&D teams consisting of software developers, product managers, quality engineers, and cloud architects.

This guide is scoped to a Software Engineer candidate at Aveva.

Focus areas

• System Design
• Data Structures
• Algorithms

The Aveva interview process

Aveva candidates report 5 rounds over 4-6 weeks. The stages below are what candidates describe, not a published process.

Recruiter Screen

Initial screening call with a recruiter to assess fit and discuss the role.

What to demonstrate

• Initial screening call with a recruiter to assess fit and discuss the role
• Depth in System Design

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

An online assessment to evaluate your technical skills and knowledge.

What to demonstrate

• An online assessment to evaluate your technical skills and knowledge
• Depth in System Design

How to prepare

• Answer aloud and timed: What are the differences between abstract classes and interfaces, and when would you choose one over the other?
• Answer aloud and timed: How does multi-threading work in modern execution runtimes, and what mechanisms prevent race conditions?

Technical Interview

In-depth technical interview involving live coding and discussions about past projects.

What to demonstrate

• In-depth technical interview involving live coding and discussions about past projects
• Depth in System Design

How to prepare

• Answer aloud and timed: Explain memory management, stack vs. heap allocation, and garbage collection mechanisms in C# or your primary language.
• Answer aloud and timed: Write a function to calculate the factorial of an integer, including the recursive base case, and explain the call stack execution.

Behavioral Assessment

Assessment focusing on cultural fit and behavioral questions related to past experiences.

What to demonstrate

• Assessment focusing on cultural fit and behavioral questions related to past experiences
• Depth in System Design

How to prepare

• Prepare three examples from your own work, each with a decision you made and an outcome you can quantify.
• Re-read the description of the behavioral assessment above and write down what you would ask to confirm before it.

Managerial Round

Final round interview with managerial staff to evaluate overall fit and decision-making.

What to demonstrate

• Final round interview with managerial staff to evaluate overall fit and decision-making
• Depth in System Design

How to prepare

• Answer aloud and timed: Write a function to check whether a given string or number is a palindrome.
• Answer aloud and timed: Implement a practical parsing and sorting routine to process unstructured input data into structured output.

Where candidates lose points

Structure Your Project Explanations

When describing past work, clearly articulate the project objective, your exact architectural contribution, key technical trade-offs, and final outcomes. Avoid generic overviews; interviewers want to know what you personally engineered.

Emphasize OOP Principles

Brush up on foundational Object-Oriented Programming concepts, including inheritance, interfaces, polymorphism, and abstraction. Be prepared to implement or white-board clean class relationships.

Review Core Computer Science Fundamentals

Spend time reviewing networking fundamentals (OSI layers, protocols), SQL database queries (joins, indexing), and basic data structures (arrays, queues, stacks, trees).

Always communicate your thought process out loud when tackling live coding or logic puzzles

If you hit a roadblock, explain how you would troubleshoot or test your logic.

Questions & practice

How does multi-threading work in modern execution runtimes, and what mechanisms prevent race conditions?

Medium · Core Computer Science & Object-Oriented

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?

Explain memory management, stack vs. heap allocation, and garbage collection mechanisms in C# or your primary

Medium · Core Computer Science & Object-Oriented

Explain memory management, stack vs. heap allocation, and garbage collection mechanisms in C# or your primary language.

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?

Write a function to calculate the factorial of an integer, including the recursive base case, and explain the

Medium · Algorithms & Practical Coding Logic

Write a function to calculate the factorial of an integer, including the recursive base case, and explain the call stack execution.

Approach

1. Restate the input: its shape, its size, and what is guaranteed about it.
2. Name the brute-force solution and its complexity before improving on it.
3. Choose the data structure from the access pattern, not from familiarity.
4. State the target complexity and say which constraint rules the naive version out.

Follow-up

• How does this change if the input no longer fits in memory?
• What is the worst case, and how likely is it on real data?

Given two overlapping rectangles on a 2D plane, write a program to calculate the total combined area covered,

Medium · Algorithms & Practical Coding Logic

Given two overlapping rectangles on a 2D plane, write a program to calculate the total combined area covered, subtracting the intersecting region.

Approach

1. Restate the input: its shape, its size, and what is guaranteed about it.
2. Name the brute-force solution and its complexity before improving on it.
3. Choose the data structure from the access pattern, not from familiarity.
4. State the target complexity and say which constraint rules the naive version out.

Follow-up

• How does this change if the input no longer fits in memory?
• What is the worst case, and how likely is it on real data?

Given an array of integers, find the minimum element and write a follow-up optimization to identify the second

Medium · Algorithms & Practical Coding Logic

Given an array of integers, find the minimum element and write a follow-up optimization to identify the second smallest element efficiently.

Approach

1. Restate the input: its shape, its size, and what is guaranteed about it.
2. Name the brute-force solution and its complexity before improving on it.
3. Choose the data structure from the access pattern, not from familiarity.
4. State the target complexity and say which constraint rules the naive version out.

Follow-up

• How does this change if the input no longer fits in memory?
• What is the worst case, and how likely is it on real data?

Write a function to check whether a given string or number is a palindrome.

Medium · Algorithms & Practical Coding Logic

Approach

1. Restate the input: its shape, its size, and what is guaranteed about it.
2. Name the brute-force solution and its complexity before improving on it.
3. Choose the data structure from the access pattern, not from familiarity.
4. State the target complexity and say which constraint rules the naive version out.

Follow-up

• How does this change if the input no longer fits in memory?
• What is the worst case, and how likely is it on real data?

Implement a practical parsing and sorting routine to process unstructured input data into structured output.

Medium · Algorithms & Practical Coding Logic

Approach

1. Restate the input: its shape, its size, and what is guaranteed about it.
2. Name the brute-force solution and its complexity before improving on it.
3. Choose the data structure from the access pattern, not from familiarity.
4. State the target complexity and say which constraint rules the naive version out.

Follow-up

• How does this change if the input no longer fits in memory?
• What is the worst case, and how likely is it on real data?

Share an example of a time when a project requirement was ambiguous, and how you gathered information to deliv

Medium · Behavioral & Experience Deep Dives

Share an example of a time when a project requirement was ambiguous, and how you gathered information to deliver the solution.

Approach

1. Restate the input: its shape, its size, and what is guaranteed about it.
2. Name the brute-force solution and its complexity before improving on it.
3. Choose the data structure from the access pattern, not from familiarity.
4. State the target complexity and say which constraint rules the naive version out.

Follow-up

• How does this change if the input no longer fits in memory?
• What is the worst case, and how likely is it on real data?

Write a SQL query using INNER and LEFT JOIN clauses to extract and aggregate related data from multiple re

Medium · Systems, Networking & Cloud Engineering

Write a SQL query using INNER and LEFT JOIN clauses to extract and aggregate related data from multiple relational tables.

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?

Stop tag and share joins from fanning out a page

Medium · join fan-out · semi-joins · many-to-many

resource_tag is (resource_id, tag_id) with PK (resource_id, tag_id); resource_share is (resource_id, shared_with_user_id, permission). The tagged-and-shared listing inner-joins resource to both, filters tenant_id, tag_id = ANY($2) and shared_with_user_id = $3, orders by updated_at DESC and takes 50. Pages come back with fewer than 50 distinct resources and the total in the header is far too high. Explain the row multiplication, rewrite both the page query and the count query so each is correct, and name the index each one needs. PostgreSQL 16.

Approach

1. Do the arithmetic against the predicates that are actually there. An inner join emits one row per matching child row, and both joins are filtered: tag_id = ANY($2) admits only the requested tags, shared_with_user_id = $3 admits one user's share rows. So a resource holding three of the requested tags and shared with $3 once yields three rows, not one — the multiplier is its count of matching tags times its share rows for that single user, and that second factor is 1 unless the table admits duplicate (resource_id, shared_with_user_id) pairs. LIMIT 50 then limits rows rather than resources, and COUNT(*) counts pairs — the header is the product, not the population.
2. Reject DISTINCT as the fix. It deduplicates after the product has been built, so the planner must materialise and sort the fanned-out set before the LIMIT can apply, and it leaves any SUM or AVG in the same select list wrong.
3. Rewrite both filters as semi-joins, keeping resource as the only row source: AND EXISTS (SELECT 1 FROM resource_tag rt WHERE rt.resource_id = r.resource_id AND rt.tag_id = ANY($2)) and the same shape against resource_share. A semi-join stops at the first match per resource and preserves the driving index order, so ORDER BY updated_at DESC, resource_id DESC LIMIT 50 still stops after 50 rows.
4. Count with the same predicates and no join at all: SELECT count(*) FROM resource r WHERE r.tenant_id = $1 AND r.status = 'active' AND EXISTS (...) AND EXISTS (...). Nothing multiplies a resource, so the number is the population.

Follow-up

• The filter changes from 'any of these tags' to 'all of these tags'. Rewrite it and state what it costs relative to the ANY form.
• A resource can be shared with the same user twice under different permissions. Does your count change, and should it?

Explain the primary principles of Object-Oriented Programming (OOP) and give real-world examples of inheritanc

Medium · Core Computer Science & Object-Oriented

Explain the primary principles of Object-Oriented Programming (OOP) and give real-world examples of inheritance and polymorphism.

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 would you design a class diagram for a system with complex component relationships?

Medium · Core Computer Science & Object-Oriented

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 are the differences between abstract classes and interfaces, and when would you choose one over the other

Medium · Core Computer Science & Object-Oriented

What are the differences between abstract classes and interfaces, and when would you choose one over the other?

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?

Explain the layers of the OSI networking model and why specific protocols operate at distinct layers.

Medium · Systems, Networking & Cloud Engineering

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?

What is a MAC address, and how does it differ from an IP address during data packet transmission?

Medium · Systems, Networking & Cloud Engineering

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?

What are the key strategies for microservice deployments, such as blue-green or canary releases?

Medium · Systems, Networking & Cloud Engineering

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 cloud architectures ensure high availability, auto-scaling, and disaster recovery across virtual privat

Medium · Systems, Networking & Cloud Engineering

How do cloud architectures ensure high availability, auto-scaling, and disaster recovery across virtual private clouds (VPCs)?

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?

Walk me through the architecture of a major project on your resume, detailing your specific technical contribu

Medium · Behavioral & Experience Deep Dives

Walk me through the architecture of a major project on your resume, detailing your specific technical contributions and trade-offs made.

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?

Read latency spikes on a sixty-second sawtooth

Medium · cache stampede · single-flight · ttl

The cached listing read path serves about 14k reads/second at an 85% hit rate. p99 sits at 35 ms for 57 seconds, jumps to 900 ms for 3, and repeats. During each spike the primary shows several hundred identical listing queries starting within the same millisecond, all carrying one large tenant's id. Cache entries use a 60-second TTL. Give the mechanism, the ordered checks, the fix, and the correctness hazard your fix must not introduce.

Approach

1. Match the period to a configured number before theorising about load. A spike every 60 seconds against a 60-second TTL is an entry expiring, and you confirm it by correlating spike timestamps with the entry's write time rather than with the traffic curve. If the period had matched a cron or a GC interval instead, this is a different investigation.
2. Establish the concurrency of the miss. Several hundred identical queries in one millisecond means the miss path has no coalescing: every request that arrives between expiry and repopulation recomputes. The herd size is that key's arrival rate times its recompute time, so at 1.2k reads/second for the hot key and a 250 ms recompute you expect about 300 concurrent misses, which matches what is observed.
3. Add single-flight on the miss path so one caller per key recomputes under a short-lived lock while the rest wait for its result. Prefer stale-while-revalidate where the read tolerates it: return the expired value immediately and refresh asynchronously, which removes the latency spike rather than serialising it into a queue of waiters.
4. De-synchronise the keys. Write TTLs with jitter, for example 60 seconds plus or minus 10%, so a deploy or a mass invalidation does not align every key on the same second and turn a per-key herd into a fleet-wide one.

Follow-up

• The same sawtooth appears on a key that is invalidated on write rather than expired. Is that the same bug?
• How does your answer change if the recompute takes 4 seconds instead of 250 ms?

Suggested practice checklist

Built from the rounds and topics Aveva candidates report.

Day 1 — Map the Aveva loop

• Write out the reported sequence: Recruiter Screen, Online Technical Assessment, Technical Interview, Behavioral Assessment, Managerial Round.
• 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 5 reported rounds, with the weakest marked.

Day 2 — Work System Design

• Spend the session on System Design, which Aveva candidates report being tested on.
• Write one worked example in System Design and time yourself on it.

Deliverable: One timed worked example in System Design.

Day 3 — Work Data Structures

• Spend the session on Data Structures, which Aveva candidates report being tested on.
• Write one worked example in Data Structures and time yourself on it.

Deliverable: One timed worked example in Data Structures.

Day 4 — Work Algorithms

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

Deliverable: One timed worked example in Algorithms.

Day 5 — Answer out loud: Core Computer Science & Object-Oriented Design

• Answer aloud, timed: Explain the primary principles of Object-Oriented Programming (OOP) and give real-world examples of inheritance and polymorphism.
• Answer aloud, timed: How would you design a class diagram for a system with complex component relationships?

Deliverable: Spoken answers to 2 reported Core Computer Science & Object-Oriented Design question(s), under time.

Day 6 — Answer out loud: Algorithms & Practical Coding Logic

• Answer aloud, timed: Write a function to calculate the factorial of an integer, including the recursive base case, and explain the call stack execution.
• Answer aloud, timed: Given two overlapping rectangles on a 2D plane, write a program to calculate the total combined area covered, subtracting the intersecting region.

Deliverable: Spoken answers to 2 reported Algorithms & Practical Coding Logic question(s), under time.

Day 7 — Answer out loud: Systems, Networking & Cloud Engineering

• Answer aloud, timed: Explain the layers of the OSI networking model and why specific protocols operate at distinct layers.
• Answer aloud, timed: What is a MAC address, and how does it differ from an IP address during data packet transmission?

Deliverable: Spoken answers to 2 reported Systems, Networking & Cloud Engineering question(s), under time.

Behavioural preparation

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

Tell me about a time when you experienced a technical disagreement or conflict within your team, and how you r

Medium · Behavioral & Experience Deep Dives

Tell me about a time when you experienced a technical disagreement or conflict within your team, and how you resolved it.

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 mentor a junior team member or help a colleague understand a complex tec

Medium · Behavioral & Experience Deep Dives

Describe a situation where you had to mentor a junior team member or help a colleague understand a complex technical system.

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 approach learning a new technology stack or domain concept when starting a new initiative?

Medium · Behavioral & Experience Deep Dives

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?