Software Engineer Interview Prep Podcast
Ace your Software Engineer interviews with confidence. This podcast helps you organize your thinking, strengthen problem-solving skills, and prepare effectively for real technical interviews. Topics covered include Programming (Java & Python), Data Structures & Algorithms, System Design, AI for Software Engineers, and Interview strategies & mindset. Whether you're targeting Big Tech, startups, or senior engineering roles, each episode helps you think clearly, solve better, and perform at your best.
Episodes
Mastering REST API Design & Best Practices
"Design the backend for Twitter." Reciting HTTP verbs won't get you through that whiteboard session. In this deep dive we build a complete, staff-level blueprint for REST API design: the reasoning behind every rule, the trade-offs interviewers probe, and the patterns that keep large systems evolving safely.You'll learn:- Fielding's six REST constraints, and why statelessness
The Architecture of Professional REST APIs
Your connection drops mid-checkout on a $1,000 ticket. Do you hit refresh and risk paying twice? The answer lives in the invisible architecture of REST APIs. In this deep dive we go from the basic grammar of the web to the patterns that keep global platforms fast, safe and reliable.You'll learn:- What REST really is, and why verbs never belong in your URLs- Resource naming, the two-level nesting r
Kubernetes Deep Dive: Pod Startup and Failure Modes
"Walk me through what happens from kubectl apply to the first request hitting your container." It sounds like a warm-up question, but how you answer it can decide whether you land a senior or staff role. In this deep dive we trace a pod from creation to production and unpack the failure modes interviewers expect you to anticipate.You'll learn:- The full startup chain: API server, etc
Cracking the Senior System Design Interview: RADIO, NFRs, Scale and CAP
Senior system design interviews don't test whether you know what a load balancer is. They test how you think under pressure: how you handle ambiguity, weigh brutal trade-offs and defend every box you draw. In this deep dive we unpack the framework used to evaluate senior engineers, architects and principal candidates.You'll learn:- The RADIO framework (Requirements, API, Data model, Infras
Kafka in Production: Failure Scenarios for Staff-Level Interviews
A single misconfigured setting in Kafka doesn't just slow a page down. It can silently vaporize financial transactions. In this deep dive we walk through real production failure scenarios and the exact reasoning interviewers look for in staff-level system design interviews.You'll learn:- Why acks=1 loses data, and the four configuration layers for zero data loss- Consistency vs availabilit
How WebSockets Power the Real-Time Web
Why does a chat message arrive instantly, but the web was never built for it? In this deep dive we unpack WebSockets: how engineers turned a request/response web into an open, two-way line, and what that costs at scale.You'll learn:- Why short polling, long polling and Server-Sent Events fall short (and the math behind 200,000 empty requests per second)- How the WebSocket handshake hides insid
Agentic coding Session 3 - Live Problem-Solving Under Pressure
The mental model and the toolkit come together here. We cover managing a session in real time — when to course-correct, when to clear and restart — the five failure patterns that quietly tank your work and how to fix each, and a complete worked problem run end to end: explore, plan, implement in a fresh session, verify with tests, and review with an adversarial subagent. Plus scaling techniques an
Agentic coding Session 2 — Configuration & Extension Mastery
This is where the deep technical interview questions live. Claude Code has five extension points — CLAUDE.md, skills, hooks, subagents, and MCP — and knowing which to reach for is a core competency. We break down each one: why CLAUDE.md is always-on context you must keep lean, how skills load knowledge on demand and why the description field decides everything, when hooks give you deterministic gu
Agentic coding Session 1 — The Agentic Mental Model
The Agentic Mental Model: what "agentic" means and the loop, the context window as the governing constraint, explore→plan→implement→commit, verification, and precise prompting.Most engineers meet AI coding tools as a smarter autocomplete. Claude Code is something else: an agent that explores, plans, and writes code on its own while you direct and review. This opening episode rewires how
S1E1 [Preview] - The Job Changed While You Were Sleeping
SEASON 1 — "The Shift"Listen to - S1E1 Interview an engineer who transitioned from backend → AI engineer. Their story IS the season premise.
S1E1 - The Job Changed While You Were Sleeping
SEASON 1 — "The Shift"Interview an engineer who transitioned from backend → AI engineer. Their story IS the season premise.
The Behavioral Round - STAR/CARL
The behavioral round quietly decides more FAANG loops than coding or system design — and most engineers spend 300 hours on LeetCode and 45 minutes preparing for it.In this deep dive, we unpack:– Why FAANG weights behavioral signal so heavily (leveling, risk, culture fit)– The STAR framework, dissected letter by letter, with the failure modes at each step– CARL and why the Learning layer is the pun
Kafka Architecture and Triage Production Scenarios
Every scenario includes:Real-world context setting the stageThe interview question as it would be askedA structured model answerExact configuration parameters with values and reasoning
System Design Interview: Payment Settlement Batch Processing
Design a batch processing system for end-of-day payment settlement at a payments company that processes 50 million transactions per day. The system must net merchant positions, calculate fees, and initiate fund transfers to merchant bank accounts within a strict bank cutoff window. Walk me through your design, covering reliability, scalability, and how you'd handle failures.Key TakeawaysThe ou
Anatomy of `kubectl apply` - Inside the Kubernetes Control Plane
When I run kubectl apply, the request is sent to the Kubernetes API Server, which acts as the entry point to the cluster.The API Server processes the request through several stages:Authentication – validates the client (certificates, tokens, etc.)Authorization – checks permissions using RBACAdmission ControllersMutating (e.g., inject defaults, sidecars)Validating (ensure request is compliant)Once
Mastering OAuth 2.0 & Microservice Security for Senior Interviews
Are you preparing for a senior security or backend engineering interview and struggling to articulate how to secure microservices in a zero-trust environment? In this deep dive, we break down the definitive guide to OAuth 2.0, OpenID Connect, and advanced token security to help you move beyond textbook definitions and start designing banking-grade architectures.Whether you are designing a Backend-
JVM Internals Deep Dive 8-25 LTS
JVM Architecture Overview — runtime data areas, memory model, flag reference tableClass Loading Subsystem — delegation model, loading phases, JPMS/Jigsaw module systemExecution Engine & JIT — tiered compilation levels (0→4), inlining, escape analysis, loop vectorisation, SIMD intrinsics, speculative optimisation and deoptimisationGarbage Collection Algorithms — deep dives on G1, ZGC (coloured
Overview of Mastering REST API Design & Best Practices
Checkout the deep dive podcast here
Mastering REST API Design & Best Practices
Mastering REST API Design & Best PracticesAre you struggling to articulate the exact difference between a basic API and a production-grade, evolvable API during system design interviews? In this deep dive, we break down the 10 pillars of REST API design to help you move beyond simple CRUD operations and start building like a Senior Engineer.What We Cover in This Episode:The Richardson Maturity
Mastering Heaps & Priority Queues
Episode Description: Mastering Heaps & Priority Queues Are you struggling to recognize exactly when to use a Priority Queue in your coding interviews? In this deep dive, we break down the Heap data structure from the ground up to help you stop memorizing solutions and start recognizing the core algorithmic patterns. What We Cover in This Episode:The "Flat Tree" Secret: Discover how
[DSA] Sliding Window Algorithm
The Sliding Window Algorithm is a powerful technique used to reduce the time complexity of problems involving arrays or strings—specifically those that require finding a sub-segment that meets certain criteria.Instead of using nested loops O(n^2), the sliding window maintains a dynamic range that "slides" across the data, usually bringing the complexity down to O(n).Problem:Find the maxi
[System Design] Database Connection Pooling
Video Summary of our audio podcast of [JAVA] Under the hood: Database Connection Pooling in Spring Boot
[System Design] The Rate Limiter Playbook
Video overview of Distributed Rate Limiter
[JAVA] Circuit Breaker Interview
Summary video of [JAVA] Circuit Breaker Deep Dive with Resilience4j
[DSA] Pattern Recognition
Video Summary of - [DSA] Data Structure and Algorithm (DSA) problem-solving strategies and patterns
[System Design] Real-World Execution & Estimations EP03
1. The Back-of-Envelope Estimation Toolkit2. Designing a Fintech Payment Processing System3. The 45-Minute Interview Playbook
[System Design] Storage, Messaging & Architecture Patterns EP02
1. Storage Strategy & Database Selection2. Caching Patterns & Disasters3. Communication & Messaging4. Apache Kafka Deep Dive
[System Design] The Foundation & The Framework EP01
Episode 1 of your 3-part System Design Interview deep-dive podcast series! This episode focuses on how interviewers at FAANG and Tier-1 financial institutions evaluate you—which is how you think, not just what you know. The hosts will cover:The RADIO Framework: The 5-step, 45-minute blueprint for every interview: Requirements, API Design, Data Model, Infrastructure, and Optimise & Operate.The
[Solution Architect] AWS Technology Stacks and Architecture Tradeoff Analysis
I have started generating a comprehensive, engaging Audio Overview (Deep Dive Podcast) designed specifically to help you memorize the AWS Technology Stacks and Architecture Tradeoff Analysis! It will be ready to listen to in the Studio tab in just a few minutes.To help these concepts stick for your exams or interviews, the hosts will use strong analogies and focus heavily on the underlying decisio
[DSA] Data Structure and Algorithm (DSA) problem-solving strategies and patterns
Comprehensive Audio Overview (Deep Dive Podcast) covering the Data Structure and Algorithm (DSA) problem-solving strategies and patterns for your interview preparation! It will be ready for you to listen to in the Studio tab in just a few minutes.Here is a breakdown of the mental models and frameworks the episode will cover to help you ace your coding interviews:Effective DSA problem-solving is no
[Kubernetes] Deep Dive
Deep-dive Audio Overview (Podcast) for your Kubernetes Solution Architect interview preparation! It will be ready to listen to in the Studio tab in just a few minutes.This episode will act as a masterclass, combining core architectural concepts with the exact production triaging scenarios and interview questions found in your guide.Here is what the hosts will be covering to ensure you are fully pr
[Kafka] Kafka Deep Dive
Audio Overview (Deep Dive Podcast) for your Kafka interview preparation! It will be ready for you to listen to in the Studio tab in just a few minutes.Here is a sneak peek at how the hosts will break down these advanced streaming concepts to help you ace your interview:The "Express Lane" Analogy (Zero-Copy & Page Cache): To explain how Kafka handles millions of messages a second, the
[AWS] Migration Decision Framework
Migration Decision Framework and real-world case studies that closely align with enterprise architecture principles. Here is a summary of the core migration strategies covered in your current documents:Migration Decision FrameworkThe sources outline a strategic framework for deciding how to migrate enterprise workloads, evaluating factors like time pressure, cost, risk, and team skills:Rehost (Li
[System Design] Distributed Rate Limiter
I have started creating an exciting, analogy-driven Audio Overview (Deep Dive Podcast) covering the complex architecture of a Distributed Rate Limiter for your next system design interview! It will be ready for you to listen to in the Studio tab in just a few minutes.Here is a sneak peek at how the hosts will break down these advanced concepts to make them stick:The "Castle Defense" Anal
[AWS] Applying TOGAF on AWS migration
Applying TOGAF on AWS migration
[JAVA] Spring Boot REST API Performance Optimization at Scale
Here is a sneak peek at what the hosts will be covering to make these advanced concepts stick during your interview:The "Multi-Layer Cake" Analogy: The hosts will explain that optimizing a Spring Boot REST API isn't a single switch you flip; it's a layered strategy. They will walk through how to systematically tackle bottlenecks from the database all the way up to the JVM.The Sil
[JAVA] Circuit Breaker Deep Dive with Resilience4j
Here is a sneak peek at what the hosts will be covering to make the concepts stick:The "Electrical Panel" Analogy: The hosts will kick off the episode by comparing the software circuit breaker pattern to a real-world electrical panel. Just as a physical breaker trips during a power surge to stop your house from catching on fire, a software circuit breaker trips to prevent a single slow or failing
[JAVA] Under the hood: Database Connection Pooling in Spring Boot
Are your APIs randomly throwing 500 errors during traffic spikes, or mysterious SocketException errors on Monday mornings? In this deep dive, we break down the critical, and often misunderstood, world of database connection pooling to help you stabilize high-traffic applications and ace senior engineering interviews.What You Will Learn in This Episode:The Taxi Rank Analogy: Why establishing a data
[JAVA] Java Collections Deep DIve
The "Deep Dive" Interview PrepThe podcast focuses on the "why" and "how" behind the collections, moving beyond basic API usage to the internal mechanics that interviewers love to ask about.• Segment 1: The "Big Three" Internals (List, Set, Map) Focus: How ArrayList resizes (growing by 50%) versus Vector (doubling). Key Concept: The internal shift in HashMap from a linked list to a Red-Black
