Scale Engineer

Senior MTS

Software EngineerIC-3Hard

This interview process is for a Senior Software Engineer (IC-3) role at Oracle, focusing on assessing technical expertise, problem-solving abilities, system design skills, and cultural fit.

Rounds·3

Timeline·~14d

Experience·5 - 10 yrs

Comp band·US$140000 - US$180000

Interview time·150 min

Evaluation

What they measure.

  • Problem-solving skills
  • Algorithmic complexity analysis
  • Data structure knowledge
  • Coding proficiency and best practices
  • Debugging skills

Preparation

How to prepare.

Tips

  1. Review fundamental computer science concepts (data structures, algorithms, operating systems, databases).
  2. Practice coding problems on platforms like LeetCode, HackerRank, or GeeksforGeeks, focusing on medium to hard difficulty.
  3. Study system design principles and common architectural patterns (e.g., microservices, load balancing, caching, message queues).
  4. Prepare to discuss your past projects in detail, highlighting your contributions, challenges, and learnings.
  5. Research Oracle's products, services, and company culture.
  6. Practice behavioral questions using the STAR method (Situation, Task, Action, Result).
  7. Understand distributed systems concepts like CAP theorem, consensus algorithms, and fault tolerance.
  8. Be ready to discuss your experience with cloud platforms, especially Oracle Cloud Infrastructure (OCI).

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms fundamentals. Solve 2-3 problems daily.

Weeks 1-2: Focus on core Data Structures (Arrays, Linked Lists, Trees, Graphs, Hash Tables) and Algorithms (Sorting, Searching, Dynamic Programming, Greedy Algorithms). Practice implementing these and analyzing their time and space complexity. Solve 2-3 problems per day.

Questions

Commonly asked.

  • Write a function to find the k-th largest element in an unsorted array.
  • Design a rate limiter.
  • Explain the difference between a process and a thread.
  • Describe a situation where you had to deal with a difficult stakeholder.
  • How would you design a distributed cache?
  • What are the trade-offs between different database indexing strategies?
  • Tell me about a time you failed. What did you learn?
  • Design an API for a simple e-commerce product catalog.
  • How do you approach debugging a complex issue in a production environment?
  • What are your thoughts on microservices vs. monolithic architectures?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

USA

Interview focus

Deep dive into distributed systems and cloud-native technologies.Emphasis on scalability, reliability, and performance optimization.Strong focus on Java or relevant backend technologies.Behavioral questions assessing leadership and collaboration.

Common questions

  • Discuss a challenging project you led.
  • How do you handle technical disagreements within a team?
  • Describe a time you had to optimize a system for performance. What was your approach and what were the results?
  • Explain the CAP theorem and its implications for distributed systems.
  • Design a URL shortening service.
  • How would you design a system to handle real-time stock price updates for millions of users?

Tips

  • Thoroughly review Oracle's cloud infrastructure (OCI) services.
  • Be prepared to discuss your experience with microservices architecture.
  • Practice explaining complex technical concepts clearly and concisely.
  • Highlight instances where you mentored junior engineers.

Rounds

Round-by-round.

Expand a step for evaluation criteria, sample questions, and prep notes.

Hard

Technical Interview - Coding · 45 min · Software Engineer (Peer)

This round focuses on your core programming skills. You will be asked to solve one or two coding problems, typically involving data structures and algorithms. The interviewer will assess your ability to write clean, efficient, and correct code, as well as your understanding of algorithmic complexity. Expect to explain your thought process and discuss alternative solutions.

What they look for

Strong grasp of fundamental data structures and algorithms.Ability to translate a problem into working code.Clear communication of approach and trade-offs.Problem-solving skills under pressure.

Evaluation

  • Correctness of the solution
  • Efficiency of the solution (time and space complexity)
  • Code quality and readability
  • Ability to explain the thought process

Sample questions

  • Given a binary tree, find its inorder traversal.

    Data StructuresTreesRecursion

  • Implement a function to reverse a linked list.

    Data StructuresLinked ListsPointers

  • Find the median of two sorted arrays.

    AlgorithmsBinary SearchArrays

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode, HackerRank.
  2. 02Focus on understanding the underlying data structures and algorithms.
  3. 03Practice explaining your code and logic out loud.
  4. 04Be prepared to discuss edge cases and test your solution.

Common rejection reasons

  • ×Inability to solve coding problems efficiently.
  • ×Poor understanding of time and space complexity.
  • ×Suboptimal or incorrect algorithmic approaches.
  • ×Lack of clarity in code or explanation.

DSA

Coding questions at Oracle.

Frequently reported on Oracle loops

View all at Oracle

Other guides

More at Oracle.