Tools, Frameworks & Implementation Proficiency Topics
Practical proficiency with industry-standard tools and frameworks including project management (Jira, Azure DevOps), productivity tools (Excel, spreadsheet analysis), development tools and environments, and framework setup. Focuses on hands-on tool expertise, configuration, best practices, and optimization rather than conceptual knowledge. Complements technical categories by addressing implementation tooling.
Infrastructure as Code Tool Proficiency (Terraform/CloudFormation/Ansible)
Deep proficiency in at least one IaC tool. For Terraform: understand resources, data sources, variables, outputs, local values, modules, state management, state locking, backend configuration (S3, Terraform Cloud), and best practices (remote state, sensitive variables, module organization). For CloudFormation: understand templates (YAML/JSON), stacks, parameters, conditions, mappings, resources, outputs, and intrinsic functions. For Ansible: understand playbooks, roles, inventory, variables, handlers, and idempotency. Write reusable, maintainable code: modules for Terraform, roles for Ansible. Understand code organization, naming conventions, and team collaboration practices.
Technology Stack Knowledge
Assess a candidate's practical and conceptual understanding of technology stacks, including major programming languages, application frameworks, databases, infrastructure, and supporting tools. Candidates should be able to explain common use cases and trade offs for languages such as Python, Java, Go, Rust, C plus plus, and JavaScript, including differences between compiled and interpreted languages, static and dynamic type systems, and performance characteristics. They should discuss application frameworks and libraries for frontend and backend development, common web stacks, service architectures such as monoliths and microservices, and application programming interfaces. Evaluate understanding of data storage options and trade offs between relational and non relational databases and the role of structured query language. Candidates should be familiar with cloud platforms such as Amazon Web Services, Google Cloud Platform, and Microsoft Azure, infrastructure components including containerization and orchestration tools such as Docker and Kubernetes, and development workflows including version control, continuous integration and continuous delivery pipelines, testing frameworks, automation, and infrastructure as code. Assess operational concerns such as logging, monitoring and observability, deployment strategies, scalability, reliability, fault tolerance, security considerations, and common failure modes and mitigations. Interviewers may probe both awareness of specific tools and the candidate's depth of hands on experience, ability to justify technology choices by evaluating trade offs, constraints, and risk, and willingness and ability to learn and evaluate new technologies rather than claiming mastery of everything.
Date and Time Operations
Tests practical skills for working with dates and times in data, reporting, and everyday technical work. Candidates should be comfortable with date and time data types (date vs. timestamp vs. timestamp with time zone) and their storage and comparison semantics, date filtering, relative date ranges such as last-n-days or rolling windows, inclusive versus exclusive range boundaries, timezone conversions and daylight saving time edge cases, business-day and holiday-aware calculations, epoch/unix timestamp conversions, and fiscal or custom period logic. Interviewers assess the ability to translate a reporting or business requirement into correct date logic, choose the right date/time representation for a given system, and reason through common pitfalls such as timezone mismatches between systems and off-by-one boundary errors. This shows up across contexts: SQL queries, spreadsheet formulas, BI tool calculated fields and filters, and date/time handling in general-purpose code.
Learning Platform Administration
Administration and operational management of learning technology platforms and learning management systems. This topic covers hands on configuration and optimization tasks including user and role management, permission and access control, course creation, content deployment and versioning, assessment and grading workflows, enrollment and completion automation, and credential or certificate management. It also includes reporting and analytics design and dashboard creation to monitor learner progress and program effectiveness, integrations with identity providers and single sign on, application programming interface based integrations with content repositories and external systems, backup and release management processes, performance monitoring and scalability tuning, governance and compliance settings for data retention and privacy, routine maintenance, troubleshooting common technical issues, and user support and training. Candidates should be able to describe specific configuration changes they made, how they designed reporting and dashboards, approaches to automating enrollment and completion, how they handled content versioning and releases, how they implemented integrations and single sign on, and strategies they used to improve adoption, stability, and course effectiveness.
Cryptographic Libraries and Tools
Know popular cryptographic libraries: OpenSSL, libsodium, Bouncy Castle, cryptography (Python). Understand that junior cryptographers use these libraries rather than implementing algorithms from scratch (in practice, don't reinvent crypto!). Know how to use basic functions from these libraries, understand their APIs, and recognize that using libraries correctly is a critical skill.
Command Line and Shell Scripting
Practical skills using command line interfaces and writing simple shell scripts for automation and system administration across operating systems. For Linux this includes navigation and file operations, file permissions, process and service inspection, log viewing, package and systemctl management, common text processing and search utilities such as grep, find, sed, and awk, piping and redirection, environment variables, command substitution, and interactive use of editors and remote access tools. Shell scripting fundamentals include variables, conditionals, loops, functions, argument handling, basic debugging, and using bash to automate repetitive tasks. The scope also covers essential Windows command line and shell basics where relevant, including interactive commands, simple PowerShell cmdlets for process and service management, file and permission commands, and differences in syntax and environment when performing equivalent administrative tasks on Windows. Candidates may be evaluated on writing short scripts, composing command pipelines to accomplish tasks, and explaining tradeoffs between interactive commands and scripted automation.
Command Line Proficiency and Troubleshooting
Comfortable using shell commands for system troubleshooting and administration. Key tools: ps (process information), top and htop (real-time monitoring), grep, sed, awk (text processing), curl (HTTP requests), netstat and ss (network statistics), du and df (disk usage), kill and killall (process termination), tar and gzip (compression). Know how to redirect I/O, pipe commands together, and create simple scripts. Understand how to use man pages.
Relevant Team and Stack Experience
Demonstrate past experience and domain knowledge that directly map to the team's specific technical stack and problem space. This includes familiarity with the tools, frameworks, platforms, or environments the team relies on, and the trade offs and constraints those choices introduce (for example: performance, scalability, deployment targets, or platform-specific limitations relevant to the domain). It also covers hands on experience with the team's toolchain and architecture, such as core frameworks or engines, build and deployment pipelines, integration or networking patterns, and infrastructure choices relevant to the domain. Candidates should be able to explain concrete examples from their history where they applied relevant technologies or patterns, how they adapted to a new stack, and how their background would accelerate onboarding to the team.
Technical Skills and Tools
A concise but comprehensive presentation of a candidate's core technical competencies, tool familiarity, and practical proficiency. Topics to cover include programming languages and skill levels, frameworks and libraries, development tools and debuggers, relational and non relational databases, cloud platforms, containerization and orchestration, continuous integration and continuous deployment practices, business intelligence and analytics tools, data analysis libraries and machine learning toolkits, embedded systems and microcontroller experience, and any domain specific tooling. Candidates should communicate both breadth and depth: identify primary strengths, describe representative tasks they can perform independently, and call out areas of emerging competence. Provide brief concrete examples of projects or analyses where specific tools and technologies were applied and quantify outcomes or impact when possible, while avoiding long project storytelling. Prepare a two to three minute verbal summary that links skills and tools to concrete outcomes, and be ready for follow up probes about technical decisions, trade offs, and how tools were used to deliver results.