Software Engineer Interview Prep Podcast

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 availability: why a healthy cluster refuses writes on ...

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 inside a normal HTTP request, and the "crypt...

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 and exactly how to demons...

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 guarantees, how subagents...

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 you think about the tool. We unpack what "age...

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 punchline, not...

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 Takeaways

1. The outbox pattern is the canonical solut...

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 RBAC

• Admission Controllers

  • Mutating (e.g., inject defaults, sidecars)

  • Validating (ensure request is compliant)

Once valid...

What We Cover in This Episode:

The Probe Trap, Why telling an interviewer that a "liveness probe failure removes traffic" is an instant red flag (it actually kills and restarts the container!), and why you should never check external databases in your liveness probes.

The JWT Myth: Why saying "JWTs are encrypted" will cost you points. We explain how to articulate that standard JWTs are signed, and how to defend against the notorious ...

HTTP Contracts & Status Codes: The podcast will cover why returning a 200 OK for an error is a massive anti-pattern. Jenny explains the exact contract of 2xx, 4xx, and 5xx status codes, and emphasizes the use of trace IDs and machine-readable error envelopes so clients know exactly what went wrong and how to fix it.

Versioning & Pagination: They will discuss the trade-offs of URI, Header, and Query Parameter versioning, wit...

• JVM Architecture Overview — runtime data areas, memory model, flag reference table
• Class Loading Subsystem — delegation model, loading phases, JPMS/Jigsaw module system
• Execution Engine & JIT — tiered compilation levels (0→4), inlining, escape analysis, loop vectorisation, SIMD intrinsics, speculative optimisation and deoptimisation
• Garbage Collection Algorithms — deep dives on G1, ZGC (coloured pointer...

Mastering REST API Design & Best Practices

Are 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 Model: We explain the progress...

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 heaps cleverly flatten complete binary tr...

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 maximum sum of a contiguous subarra...