I recently finished the full Oracle 26NG SDE interview process, from phone screening to five VO rounds and finally the HM call. The clearest takeaway was this:
this was not a process where only the later rounds were serious. Almost every round felt intentionally evaluative.
The screening interviewer was a very friendly Chinese engineer, and the communication experience was smooth. But once the process moved into VO, the tone changed significantly. The technical rounds became much more push-heavy, follow-ups were dense, and the focus shifted clearly toward engineering judgment in realistic work scenarios rather than only algorithm execution.
If your impression of Oracle is still “the problems are manageable,” this process quickly shows that the real differentiator is not raw problem difficulty. It is whether you can explain clearly, reason through tradeoffs, and handle engineering-oriented follow-up well.
Overall Feel of the Process
Structurally, the process was complete:
- phone screening
- five VO rounds
- one final Hiring Manager call
But what made it intense was not the number of rounds. It was the fact that very few rounds felt like a free pass.
Three patterns stood out:
- interviewers followed up aggressively and did not stop at template-level answers
- many first questions were standard, but the second and third layers became very engineering-heavy
- resume depth, project reasoning, and system thinking mattered a lot
So this was much closer to “can this candidate operate in a real engineering team” than “can this candidate solve coding exercises.”
Phone Screening: Simplified Redis-like Data Structure
The screening round moved into coding very quickly. After a brief check on language comfort, the interviewer asked for a simplified Redis-like data structure in Go.
Core requirements
The structure needed to support both:
- string values
- list values
And it needed operations like:
setlist.pushgetlist.remove
The remove behavior was also detailed:
count > 0: remove the first N matching itemscount < 0: remove the last N matching itemscount = 0: remove all matching items
Expiration was mentioned too, but the interviewer explicitly said it could be deferred as long as the design idea was explained.
What this round really tested
This looked like a data structure problem, but it was really testing abstraction quality.
The main pressure points were:
- how to unify storage for multiple value types
- whether to use interfaces or structs
- how to implement list removal without unnecessary traversal
- how the design would scale as data volume grows
The interviewer also asked about time complexity and how the system might be optimized for larger scale.
So this round felt much more like:
a mini system design plus coding exercise
If your object model was clear and the code was structured well, the round felt stable. But if you treated it like simple CRUD logic, the follow-ups could become difficult very quickly.
VO Round 1: LRU Cache
The first VO round opened directly with LRU Cache.
The first layer was standard
The obvious solution was:
HashMapDoubly Linked List
with the goal of guaranteeing:
getinO(1)putinO(1)
At that level, the problem was straightforward.
The real round started after the code
The interviewer was clearly not satisfied with the standard answer alone. Immediately after the implementation, the follow-up shifted to:
- what happens in a multithreaded environment
- how to reduce lock contention
- what a more scalable design might look like
At that point it became obvious that the round was not about whether you could code LRU. It was about whether you could turn a familiar problem into an engineering discussion.
If the conversation stops at “hash map plus doubly linked list,” the round feels shallow. If you can extend into:
- concurrency control
- lock granularity
- partitioning
- read/write access patterns
then the round becomes much stronger.
VO Round 2: Merge Sorted Lists
This round had a very recognizable structure:
- first
merge two sorted lists - then immediately upgrade to
Merge K Sorted Lists
What the interviewer was checking
There were really two things under observation:
- whether you proactively analyze complexity
- whether you know the stronger solution without being dragged toward it
If you only finish the sequential merging version and stop there, the round is acceptable but not especially strong.
If you proactively point out:
- sequential merging is not optimal
- a
min heapworks better - the complexity improves to
O(N log K)
then your reasoning appears much more mature.
What made this round interesting
It was not the most stressful round, but it was a very clean fundamentals check.
This is exactly the kind of problem that:
may not cause a direct rejection, but can clearly separate strong candidates from average ones.
VO Round 3: Delete Target Leaf Nodes from Binary Tree
The third round was a classic recursion-based tree problem: delete all leaf nodes whose value equals target.
But the real difficulty was the cascading effect:
once one leaf is deleted, its parent may become a new leaf, and that parent must be checked again.
What this round really tested
This was fundamentally a recursion-design problem.
The clean solution depends on recognizing:
- postorder traversal is the natural traversal order
- children must be processed first
- the parent decision is made only after the subtree state is updated
If you treat it as a generic DFS problem, the implementation can become messy very quickly. The cleaner version usually uses the return value of recursion to tell the parent:
- whether the child still exists
- whether the parent has now become deletable
Oracle cared a lot about readability here
This round made it especially clear that Oracle pays attention to production-style code.
The interviewer looked closely at:
- naming
- function structure
- unnecessary branching
- avoidable logic duplication
So this was not just about getting accepted logic. It was about whether the code looked maintainable.
VO Round 4: Project Deep Dive + Hospital Appointment Booking API
This was one of the most representative rounds in the whole process.
First half: project deep dive
The resume discussion here was not shallow at all.
The interviewer kept digging into:
- why the system was designed that way
- what the tradeoffs were
- why those tradeoffs were reasonable
- what you would change if rebuilding it today
A lot of candidates do not fail coding rounds. They fail here.
The reason is simple:
they are not actually ready to explain the reasoning behind their own project decisions.
Once tradeoff questions become fuzzy, the round becomes dangerous.
Second half: Hospital Appointment Booking API
The technical problem was to design a Hospital Appointment Booking API.
The setup was roughly:
- 1000 doctors
- each doctor works from
9AMto5PM - each slot is
15minutes - the API should book the earliest available slot for a specified doctor on a specified date
- state must persist across multiple
POSTrequests
What this problem really was
This was not really an algorithm problem. It was a lightweight system design problem.
The key questions were:
- how to model doctors and slots
- how to find the earliest availability efficiently
- how to avoid double booking
- how concurrency should be handled
As soon as you started talking about:
- optimistic locking
- state management
- data structure choices
- persistence between requests
the interviewer became much more engaged.
This round very clearly prioritized engineering thinking over algorithm tricks.
VO Round 5: Hiring Manager Call
The final round was an HM behavior round, with no algorithms. But this is definitely not the place to relax.
Because even though it is not technical in the narrow sense, it is still a strong evaluation of whether you feel like a reliable teammate.
Main directions of questioning
The interviewer focused mainly on:
- how you prioritize work
- how you react when a system failure impacts customers
Why STAR alone is not enough here
Many candidates assume the HM round is just a matter of memorizing a few polished behavioral stories. But this round felt much more like an evaluation of decision-making style.
The interviewer really wanted to know:
- how you rank priorities under pressure
- whether you stabilize service first or search for root cause first
- how you balance customer impact, communication, and long-term fixes
- whether you seem like someone the team can trust in difficult situations
So the key is not storytelling polish. It is whether your thinking pattern sounds reliable and grounded.
What Oracle’s Style Felt Like Across the Whole Process
When the full loop is viewed as one system, Oracle’s style feels remarkably consistent:
- the screening already tests abstraction, not just coding fluency
- common algorithm problems are pushed into engineering follow-up
- project depth and system modeling matter a lot
- the HM round evaluates working style more than rehearsed behavioral structure
In other words, Oracle does not mainly filter people with obscure problems. It filters through:
- follow-up depth
- attention to detail
- engineering thinking
- communication stability
That is why the strongest impression from the process is:
the problems were not always the hardest, but almost every round was serious.
Final Takeaway
The most important thing to remember from this Oracle 26NG SDE process is not one individual question. It is the overall direction of evaluation:
- screening tested abstraction and structure design
- early VO rounds tested whether standard algorithm questions could be discussed at an engineering level
- the project deep dive and booking API round tested real work capability
- the HM round tested whether you sound like a dependable teammate
If you are preparing for Oracle now, the most valuable preparation is not just solving more problems. It is practicing the engineering follow-up and project tradeoff explanation that come after the first answer.
In many cases, the deciding factor is not the first solution. It is whether you can stay strong through the second and third layer of questioning.
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