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').
Bash and Shell Scripting
Covers proficiency in writing reliable Bash and POSIX shell scripts to automate common Linux system administration and operational tasks. Topics include shell syntax, variables, parameter expansion, arrays, control flow such as conditionals and loops, functions and modular script design, input and output redirection and pipes, and use of core Unix utilities for text processing such as grep, sed, and awk. Emphasizes defensive and maintainable scripting practices including error handling, exit codes, trap usage, logging, input validation, command substitution, process and job management, debugging techniques, performance considerations, and secure handling of file and process permissions. Typical use cases include service management, backups, log parsing and rotation, user provisioning, monitoring checks, and small operational tooling.
Python Automation and Monitoring
Focuses on using the Python programming language to automate operational tasks and implement monitoring workflows. Includes writing robust scripts and small applications for file input and output, subprocess management, making HTTP requests and handling responses, parsing and producing JSON, structured error handling and retries, logging and alerting, and clear code organization and packaging. Discuss when to choose Python over shell scripts for complexity, portability, error handling, and maintainability. Covers libraries and tooling for scheduling and background jobs, interacting with cloud provider software development kits, instrumenting applications for metrics and traces, integrating with monitoring stacks, and basic concurrency and asynchronous programming patterns when needed. Also includes testing and validation of automation scripts, secure handling of credentials and configuration, and deployment practices for operational scripts.