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.
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.
Hands On Projects and Problem Solving
Discussion of practical projects and side work you have built or contributed to across domains. Candidates should be prepared to explain their role, architecture and design decisions, services and libraries chosen, alternatives considered, trade offs made, challenges encountered, debugging and troubleshooting approaches, performance optimization, testing strategies, and lessons learned. This includes independent side projects, security labs and capture the flag practice, bug bounty work, coursework projects, and other hands on exercises. Interviewers may probe for how you identified requirements, prioritized tasks, collaborated with others, measured impact, and what you would do differently in hindsight.
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.
UIKit/SwiftUI and UI Development
Comprehensive knowledge of UIView hierarchy, view controllers, navigation, and animations. Understanding of SwiftUI declarative syntax and when it's appropriate vs UIKit. Knowledge of Auto Layout, constraints, and responsive design for different device sizes.
Mobile Platform Features and Services
Covers the implementation and integration of mobile platform specific features and services on iOS and Android. Topics include native frameworks for camera and media, location and geolocation services, push and local notifications, background processing and service patterns, secure storage and data persistence, sensors, contacts and calendar access, and file and media handling. Candidates should understand platform permission and privacy models, runtime permission flows, lifecycle implications for each feature, error handling and graceful degradation when permissions are denied, and best practices for performance, battery impact, and security. Expect familiarity with iOS frameworks and components such as CoreLocation, AVFoundation, UserDefaults, Keychain, and CoreData, and Android components such as LocationManager, FusedLocationProvider, Camera2 API, Services, WorkManager, SharedPreferences, and Room. Also include integration with push delivery systems such as Apple Push Notification service and Firebase Cloud Messaging, intent based interactions, media pickers, and techniques for testing and debugging platform specific features.
Android Lifecycle and Component Management
Comprehensive knowledge of Android component lifecycles and practical strategies for managing component state and interactions. This includes deep understanding of Activity and Fragment lifecycles and their callback sequences, Service and BroadcastReceiver lifecycles and typical usage patterns, and how the system creates and destroys components under configuration changes and memory pressure. Candidates should know techniques for saving and restoring user interface and instance state across configuration changes and process death, including onSaveInstanceState, persistent storage options, and saved state helpers. Familiarity with lifecycle aware architecture components such as ViewModel and lifecycle observers, LiveData or observable patterns, and how they help prevent memory leaks and simplify state management is expected. Also important are approaches for handling complex scenarios like nested fragments, fragment transactions and back stack management, background work coordination, resource cleanup, testing lifecycle behavior, and diagnosing lifecycle related bugs and memory issues.
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.
Technology Selection and Framework Choices
Ability to evaluate and select appropriate technologies, frameworks, and libraries for a project, and to justify those choices with sound reasoning. Covers how to weigh project requirements, team expertise, scalability and performance needs, ecosystem maturity, community and vendor support, licensing, and long-term maintenance cost. Includes reasoning about common trade-offs (build vs. buy, established vs. emerging technology, monolithic vs. modular/pluggable tooling, open-source vs. commercial) and how to communicate a technology decision and its risks to stakeholders and teammates.
Cross Platform Framework Experience
Discuss hands-on experience with React Native and/or Flutter, understanding of trade-offs between native and cross-platform development, and scenarios where each approach is optimal. Be prepared to explain why a company might choose cross-platform frameworks for certain products.