As a Software Engineer at Titan, you will design, build, and maintain the critical digital infrastructure that powers our high-scale platforms. This role is central to ensuring that our communication pipelines, data flows, and external integrations remain secure, resilient, and highly performant. Titan operates at a massive scale, meaning your engineering decisions will directly impact system reliability and user trust across our global ecosystem. In this position, you will work on complex backend architectures, with a heavy emphasis on networking, deliverability systems, and platform integrations. You will be responsible for building robust systems that handle high throughput, optimizing core protocols, and ensuring seamless cross-platform functionality. Whether you are scaling an email delivery pipeline or developing integrations for customer touchpoints, your work will require a deep understanding of low-level protocols and system design. To succeed as a Software Engineer at Titan, you must possess strong technical fundamentals, an analytical mindset, and a passion for solving highly complex, real-world engineering challenges. The team values engineers who are proactive, detail-oriented, and capable of navigating both deep algorithmic problems and practical system-level issues.
Online Assessment
reportedHighly selective assessment testing theoretical knowledge and coding skills under time pressure.
What to demonstrate
- Highly selective assessment testing theoretical knowledge and coding skills under time pressure
- Depth in Email Architecture
How to prepare
- Answer aloud and timed: What are the primary differences between IMAP and POP protocols, and when would you choose one over the other?
- Answer aloud and timed: Explain the role of SPF, DKIM, and DMARC records in preventing email spoofing and ensuring deliverability.
Technical Screening Call
reportedIntroduction to the team and high-level review of your technical background.
What to demonstrate
- Introduction to the team and high-level review of your technical background
- Depth in Email Architecture
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
reportedTwo intensive rounds focusing on networking, email infrastructure, and system design.
What to demonstrate
- Two intensive rounds focusing on networking, email infrastructure, and system design
- Depth in Email Architecture
How to prepare
- Answer aloud and timed: How does SSL/TLS secure communication between an email client and a mail server?
- Answer aloud and timed: Explain the step-by-step process of how a client resolves a domain name using DNS servers.
Managerial Round
reportedAssessment of communication style, support empathy, and alignment with Titan's engineering culture.
What to demonstrate
- Assessment of communication style, support empathy, and alignment with Titan's engineering culture
- Depth in Email Architecture
How to prepare
- Answer aloud and timed: What happens during a TCP/IP three-way handshake, and how does it relate to establishing secure connections?
- Answer aloud and timed: How do you diagnose a network latency issue between an application server and a database?
PracHub editorial advice for the preparation topics above.
Master DNS and Email Records
Do not walk into the interview with only a surface-level understanding of DNS. You must know exactly how to configure, verify, and debug SPF, DKIM, DMARC, MX, and TXT records. Be prepared to explain how these records interact to secure communications.
Do not underestimate the Online Assessment
Many candidates with strong system design skills fail to reach the interview stage because they did not dedicate enough time to practicing advanced algorithmic problem-solving under strict time constraints.
Be Structured in Scenario-Based Rounds
When presented with an open-ended scenario, such as designing an integration or debugging a delivery failure, do not jump straight to a solution. Start by clarifying requirements, stating your assumptions, and breaking the problem down into manageable components.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Given an array of integers, find the maximum sum of a contiguous subarray using an optimal approach.
Given an array of integers, find the maximum sum of a contiguous subarray using an optimal approach.
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- 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?
Solve a highly complex, competitive-programming-level dynamic programming problem (expect difficulty equivalen
Solve a highly complex, competitive-programming-level dynamic programming problem (expect difficulty equivalent to a Codeforces 2100-rated problem during the online assessment).
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- 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?
Track a rolling failure rate per destination for circuit decisions
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?
Stop tag and share joins from fanning out a page
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
- 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.
- 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.
- 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.
- 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?
Replace offset paging on the resource feed with keyset
resource holds resource_id, tenant_id, owner_user_id, title, body_ref, version, status ('draft','active','archived','deleted'), created_at, updated_at, deleted_at, with an index on (tenant_id, status, updated_at DESC, resource_id DESC). The listing endpoint returns active resources for one tenant, newest update first, 50 per page, today with LIMIT 50 OFFSET n. Tenants reach page 400 and rows are created while they read. Write the keyset query, define what the cursor carries and how it is encoded, and say which part of the index each predicate uses. Assume PostgreSQL 16.
Approach
- Name the two failures separately. OFFSET 20000 makes the server produce and discard 20,000 rows, so page cost grows with depth rather than with page size. Independently, any write that changes how many rows sort above the offset moves the window between two fetches, and the direction decides which anomaly you get: an insert lands at the head of updated_at DESC and pushes already-returned rows down past the boundary, so they are returned a second time; a delete above the offset, or a row whose updated_at is bumped above the cursor, pulls rows up and one is never returned at all. Nothing in the response reveals either.
- Write the seek: WHERE tenant_id = $1 AND status = 'active' AND (updated_at, resource_id) < ($2, $3) ORDER BY updated_at DESC, resource_id DESC LIMIT 50. The row-value comparison is one index range rather than a disjunction, and both columns are NOT NULL, which is what makes that comparison well defined.
- Map each predicate onto the index: tenant_id and status are equality on the leading columns, (updated_at, resource_id) is the range, and the ORDER BY matches the index order so no Sort node appears and the scan stops after 50 rows. The DESC in the definition only matters for mixed directions — a plain ascending btree on the same columns is read backwards for this query.
- Put both sort columns in the cursor and nothing the client can tamper with into another tenant: base64 of (updated_at, resource_id), validated server-side, with tenant_id taken from the principal.
Follow-up
- The client asks for 'jump to page 400'. What do you offer instead, and what does the honest version cost?
- Sort order becomes user-selectable across four columns. How many indexes is that, and which would you refuse to add?
What are the primary differences between IMAP and POP protocols, and when would you choose one over the other?
What are the primary differences between IMAP and POP protocols, and when would you choose one over the other?
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- 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 the role of SPF, DKIM, and DMARC records in preventing email spoofing and ensuring deliverability.
Explain the role of SPF, DKIM, and DMARC records in preventing email spoofing and ensuring deliverability.
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- 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 does the SMTP protocol handle mail transfer, and what are the standard port numbers associated with secure
How does the SMTP protocol handle mail transfer, and what are the standard port numbers associated with secure and insecure mail submission?
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- 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?
Describe the purpose of MX and TXT records within a domain's DNS configuration.
Describe the purpose of MX and TXT records within a domain's DNS configuration.
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- 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 does SSL/TLS secure communication between an email client and a mail server?
How does SSL/TLS secure communication between an email client and a mail server?
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- 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 the step-by-step process of how a client resolves a domain name using DNS servers.
Explain the step-by-step process of how a client resolves a domain name using DNS servers.
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?
What happens during a TCP/IP three-way handshake, and how does it relate to establishing secure connections?
What happens during a TCP/IP three-way handshake, and how does it relate to establishing secure connections?
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 diagnose a network latency issue between an application server and a database?
How do you diagnose a network latency issue between an application server and a database?
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 significance of different DNS record types (A, AAAA, CNAME, MX, TXT) in platform configuration.
Describe the significance of different DNS record types (A, AAAA, CNAME, MX, TXT) in platform configuration.
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?
Design a system capable of aggregating and replying to user feedback across multiple platforms, including the
Design a system capable of aggregating and replying to user feedback across multiple platforms, including the App Store, Play Store, and X (formerly Twitter).
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- 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 would you architect a high-throughput email dispatch system to prevent IP blacklisting while maintaining h
How would you architect a high-throughput email dispatch system to prevent IP blacklisting while maintaining high deliverability?
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- 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 strategy would you implement to handle rate-limiting and API failures when integrating with third-party s
What strategy would you implement to handle rate-limiting and API failures when integrating with third-party social media APIs?
Approach
- Say who the caller is and what they do when the call fails halfway.
- Define the identity of a request so a retry cannot double-apply it.
- Separate accepted, pending, failed and confirmed; they are different facts.
- 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 implement an efficient rate-limiter for an API gateway?
How would you implement an efficient rate-limiter for an API gateway?
Approach
- Say who the caller is and what they do when the call fails halfway.
- Define the identity of a request so a retry cannot double-apply it.
- Separate accepted, pending, failed and confirmed; they are different facts.
- 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?
A customer reports that emails sent from their custom domain are going to spam. Walk through your debugging pr
A customer reports that emails sent from their custom domain are going to spam. Walk through your debugging process and the hypothetical suggestions you would provide.
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?
Built from the rounds and topics Titan candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the Titan loop
- Write out the reported sequence: Online Assessment, Technical Screening Call, Technical Rounds, 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 4 reported rounds, with the weakest marked.
02Work Email Architecture
- Spend the session on Email Architecture, which Titan candidates report being tested on.
- Write one worked example in Email Architecture and time yourself on it.
Deliverable: One timed worked example in Email Architecture.
03Work DNS (Domain Name System)
- Spend the session on DNS (Domain Name System), which Titan candidates report being tested on.
- Write one worked example in DNS (Domain Name System) and time yourself on it.
Deliverable: One timed worked example in DNS (Domain Name System).
04Work MX Records
- Spend the session on MX Records, which Titan candidates report being tested on.
- Write one worked example in MX Records and time yourself on it.
Deliverable: One timed worked example in MX Records.
05Answer out loud: Email Architecture & Protocols
- Answer aloud, timed: What are the primary differences between IMAP and POP protocols, and when would you choose one over the other?
- Answer aloud, timed: Explain the role of SPF, DKIM, and DMARC records in preventing email spoofing and ensuring deliverability.
Deliverable: Spoken answers to 2 reported Email Architecture & Protocols question(s), under time.
06Answer out loud: Networking & DNS
- Answer aloud, timed: Explain the step-by-step process of how a client resolves a domain name using DNS servers.
- Answer aloud, timed: What happens during a TCP/IP three-way handshake, and how does it relate to establishing secure connections?
Deliverable: Spoken answers to 2 reported Networking & DNS question(s), under time.
07Answer out loud: System Design & Scenario-Based Engineering
- Answer aloud, timed: Design a system capable of aggregating and replying to user feedback across multiple platforms, including the App Store, Play Store, and X (formerly Twitter).
- Answer aloud, timed: How would you architect a high-throughput email dispatch system to prevent IP blacklisting while maintaining high deliverability?
Deliverable: Spoken answers to 2 reported System Design & Scenario-Based Engineering question(s), under time.
Expand any day for tasks and deliverables. Your progress is saved on this device.
Behavioural rounds judge the decision you made and what it cost.
Unblock an engineer without taking the keyboard
A teammate has spent two days on a job handler that occasionally writes duplicate rows. They are certain the queue is delivering twice by mistake. You suspect a lease expiring under a slow handler, so the job is running concurrently with itself. Describe how you have unblocked someone in this position: what you asked before offering a hypothesis, what you showed them rather than told them, and what you left them owning. Then say what you would do if their theory turned out to be the right one.
Approach
- Ask before diagnosing, and ask for things answerable from data they already have: the attempt count on the job rows that produced duplicates, the handler's observed duration against its lease expiry, and whether the duplicate rows share a natural key that a unique constraint could have caught.
- Teach the shape rather than the answer. A lease cannot distinguish a dead worker from a slow one, so a handler that outruns its lease is running twice by design, and deploys deliver the other half by killing handlers mid-run on every rollout. Both of their candidate theories produce identical duplicate rows, which is why the evidence has to come from timings rather than from argument.
- Hand over a checklist they execute: a natural key on every write the handler performs so the second copy collides rather than appends, the record of intent written before any external effect, a lease heartbeat while running, and the metric that shows it working.
- Keep ownership with them deliberately. Pair on the first write, then step back; if you finish it yourself you have closed one ticket and left the same person stuck on the next redelivery.
Follow-up
- How would you distinguish a genuine double-delivery from a lease expiry using only the data already stored?
- Their handler calls an external endpoint before recording that it did. What do you tell them to change first?
Reverse your own decision and price the reversal
Describe a technical decision you made and later reversed. Pick one that cost something: a service you split and merged back, a cache you added and removed, an index you created that pushed the planner onto a worse plan, a projection you rebuilt from scratch. State what you believed when you decided, the measurement that changed your mind, how long the wrong version ran in production, and what the reversal cost in migrations, dual writes, and a deprecation window for callers you did not own.
Approach
- State the original rationale without irony, in the version you would still defend given what was known then. If it is not defensible, the story is about carelessness rather than judgement, and a different example serves you better.
- Give the measurement that moved with a before and after: the p99 that did not improve, the cache hit rate that sat at 40%, the plan that flipped to a sequential scan once the table passed a size you can name.
- Cost the reversal in steps, not adjectives: expand-and-contract deploys, the dual-write window, the callers who had to be notified, the rows already written in the wrong shape that had to be backfilled or abandoned.
- Distinguish reversal from rewrite by naming what you kept. Most good reversals preserve the schema or the interface and undo one decision inside it, which is also why they were affordable.
Follow-up
- What in that decision was irreversible, and did you know it was irreversible when you made it?
- How did you tell the people who had already built on top of the original decision?
Turn a code review disagreement into a decision
A colleague's change updates a row with UPDATE resource SET version = version + 1 WHERE resource_id = $1 AND version = $2 and treats an affected-row count of zero as a successful no-op. You read that as a silently lost update; they think returning 200 is friendlier to clients than returning a conflict. Describe how you have handled a review disagreement of this shape: what goes in the comment, when you leave the thread, and who decides. Then write the comment you would leave here, in under 80 words.
Approach
- Sort the disagreement before writing anything. A silently discarded write is a correctness claim about data; the choice between 409 and 412 is taste. Only the first justifies blocking a merge, and saying which one you are doing is most of the value of the comment.
- Make the claim reproducible in the comment itself with an interleaving rather than a principle: A reads version 7, B reads version 7, B commits version 8, A's predicate matches zero rows, A is told it succeeded and A's edit is gone.
- Offer the alternative with its cost attached: return 409 carrying the current version and the revision that won, so the client can re-read and re-apply. Note that automatic retry is not the fix, because a retry re-reads the winner's state and reapplies an intent formed against data that no longer exists.
- Apply an escalation rule you can state: two round trips on the thread, then a call, and the service's owner decides rather than the reviewer. A reviewer who cannot be overruled is a bottleneck with extra steps.
Follow-up
- Where would you put the test that fails if someone reintroduces the swallowed zero rowcount?
- The author says clients cannot handle a 409. How do you check whether that is true?
- 01
A teammate has spent two days on a job handler that occasionally writes duplicate rows. They are certain the queue is delivering twice by mistake. You suspect a lease expiring under a slow handler, so the job is running concurrently with itself. Describe how you have unblocked someone in this position: what you asked before offering a hypothesis, what you showed them rather than told them, and what you left them owning. Then say what you would do if their theory turned out to be the right one.
- 02
Describe a technical decision you made and later reversed. Pick one that cost something: a service you split and merged back, a cache you added and removed, an index you created that pushed the planner onto a worse plan, a projection you rebuilt from scratch. State what you believed when you decided, the measurement that changed your mind, how long the wrong version ran in production, and what the reversal cost in migrations, dual writes, and a deprecation window for callers you did not own.
- 03
A colleague's change updates a row with UPDATE resource SET version = version + 1 WHERE resource_id = $1 AND version = $2 and treats an affected-row count of zero as a successful no-op. You read that as a silently lost update; they think returning 200 is friendlier to clients than returning a conflict. Describe how you have handled a review disagreement of this shape: what goes in the comment, when you leave the thread, and who decides. Then write the comment you would leave here, in under 80 words.
How difficult is the Online Assessment (OA) for Titan?
The online assessment is exceptionally challenging and serves as a significant filter. The coding questions often reach a difficulty level equivalent to Codeforces 2100, requiring a deep understanding of advanced algorithms and data structures. Focused preparation on competitive programming platforms is highly recommended.
Titan Software Engineer candidate reports ↗Do I need prior experience with email infrastructure to apply?
While direct experience with email infrastructure is highly valued, a strong foundation in networking, systems design, and core internet protocols is sufficient. You must, however, be prepared to learn and discuss the details of email protocols and delivery mechanisms during the interview.
Titan Software Engineer candidate reports ↗What is the primary focus of the technical rounds?
The technical rounds are highly practical. While they do assess your programming skills, they place an equal emphasis on your understanding of DNS, network security, mail protocols, and how you design systems to handle real-world scenarios and integrations.
Titan Software Engineer candidate reports ↗What is the working culture like for engineers at Titan?
The engineering culture at Titan is collaborative, high-performing, and deeply technical. Engineers are given a high degree of ownership and are expected to understand both the software they write and the underlying infrastructure it runs on.
Titan Software Engineer candidate reports ↗What topics does Titan test in interviews?
Titan interviews most often cover Email Architecture, DNS (Domain Name System), MX Records, TLS/SSL, and SPF Records. The exact emphasis depends on the specific role you apply for.
Titan Software Engineer candidate reports ↗Sources & methodology 3 sources ↗
No official company page is cited. Rounds and questions come from candidate reports and PracHub editorial material; each source shows the date it was read.
- 01Titan Software Engineer candidate reports ↗
Company-reported rounds, questions and FAQ.
Candidate reports · Accessed 2026-09-22 - 02PracHub Software Engineer practice ↗
PracHub practice material, not company-reported.
PracHub page · Accessed 2026-09-22 - 03PracHub preparation framework ↗
PracHub preparation guidance.
PracHub page · Accessed 2026-09-22
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