Programming Languages & Core Development Topics
Programming languages, development fundamentals, coding concepts, and core data structures. Includes syntax, algorithms, memory management at a programming level, asynchronous patterns, and concurrency primitives. Also covers core data manipulation concepts like hashing, collections, error handling, and DOM manipulation for web development. Excludes tool-specific proficiency (see 'Tools, Frameworks & Implementation Proficiency').
Asynchronous and Event-Driven Programming
Non-blocking execution models: callbacks, promises and futures, async/await, event loops, and event-driven and reactive architectures. Covers reasoning about ordering, back-pressure, and error propagation in asynchronous flows, including data-fetching patterns. Central to modern frontend, backend, and mobile runtimes.
Language-Level Concurrency and Multithreading
Per-language and per-runtime concurrency: the threading and async APIs each language provides (goroutines and channels in Go, threads and executors in Java, async/await runtimes, C++ std::thread and atomics), each language's memory model, and the idioms for coordinating shared state safely in that language. Covers choosing and using a language's concurrency primitives correctly; OS-level scheduling, synchronization theory, and deadlock internals live in Operating Systems & Systems Programming.
Programming Fundamentals
Language-agnostic building blocks of writing code: variables, primitive and composite data types, scope and lifetime, functions and callbacks, control flow, and expressions versus statements. Covers the mental model a candidate needs before any language-specific or algorithmic depth. The baseline literacy layer of a technical screen.
Shell Scripting and Automation
Automating tasks with the command line: Bash and shell scripting, pipes and redirection, text processing, and writing custom tooling and monitoring scripts to glue systems together. Covers the scripting fundamentals infrastructure and platform engineers use daily, including automation-oriented use of general-purpose scripting. Distinct from application programming in its throwaway-to-durable tooling mindset.
Debugging and Performance Optimization
Finding and fixing what is wrong or slow: systematic debugging strategies, reading stack traces, profiling to locate hotspots, and optimizing execution time and memory. Covers reasoning from symptom to root cause and measuring before optimizing, including runtime, memory, and profiling analysis. Tests how a candidate operates on code they did not write.
Python Programming
Python as an interview language: core syntax, data types and built-in collections, comprehensions, iterators and generators, idiomatic style, and the standard library, extending into data-oriented and automation use of the language and its common libraries. Covers writing correct, Pythonic code and reasoning about the language's semantics. The most heavily exercised language surface in this category across engineering and data roles.