Coding and API Development
This area validates your ability to implement reliable, secure, and well-documented integrations and services. Expect to discuss RESTful API design, occasional SOAP consumption, authentication/authorization patterns, error handling, pagination, versioning, and performance. You may walk through code you’ve written in Python, JavaScript, or C#, emphasizing testability and maintainability.
Be ready to go over:
- API design and contracts: Resource modeling, status codes, idempotency, and versioning strategies
- Security: OAuth2, JWT, mTLS basics, input validation, and secrets handling
- Data handling: SQL queries, schema evolution, performance indexing, and data integrity
- Advanced concepts (less common): Async job orchestration, bulk transfer design, webhook/event-driven patterns, SFTP automation
Example questions or scenarios:
- "Design a REST API to synchronize student enrollment data with an enterprise system. How do you handle retries, partial failures, and idempotency?"
- "Walk us through integrating a legacy SOAP service into a modern stack. How did you abstract complexity from consumers?"
- "Given slow queries in production, how would you diagnose and fix the performance issue safely?"
Web Application Engineering and Accessibility
For roles building ASU web apps, interviewers will evaluate your experience with C#/ASP.NET, HTML5/CSS/JavaScript, responsive design, and accessibility. You’ll discuss WCAG standards, semantic markup, ARIA usage, and ensuring inclusive UX without sacrificing performance or maintainability.
Be ready to go over:
- Front-end architecture: Modular JS/CSS, responsive patterns, performance budgets
- ASP.NET fundamentals: Routing, MVC/Razor Pages, dependency injection, configuration
- Accessibility: Keyboard navigation, color contrast, form labeling, screen reader testing
- Advanced concepts (less common): Component libraries (e.g., Bootstrap), progressive enhancement, React integration with .NET backends
Example questions or scenarios:
- "Refactor a legacy ASP.NET page for accessibility and responsive behavior. What concrete changes do you make and how do you test them?"
- "Explain your strategy for version control and branching in Git for a multi-developer web project."
- "How do you enforce front-end and back-end input validation consistently?"
Systems Design and Integration
You will be asked to design systems that integrate with ASU’s enterprise environment, balancing reliability, security, and cost. Expect multi-service diagrams, interface contracts, error domains, and operational considerations like logging, monitoring, and rollbacks.
Be ready to go over:
- Integration architecture: API gateways, service boundaries, sync vs. async flows
- Reliability: Circuit breakers, retries with backoff, dead-letter queues
- Observability: Structured logging, tracing, dashboards, alerting thresholds
- Advanced concepts (less common): Blue/green or canary releases, schema migration strategies, vendor integration risk assessment
Example questions or scenarios:
- "Design a service to ingest and normalize data from multiple external providers with different SLAs and schemas."
- "Propose a migration plan from point-to-point integrations to an API-first architecture."
- "How would you structure error telemetry to prioritize operational fixes?"
DevOps, Automation, and Orchestration
Roles within Enterprise Technology often emphasize automation and CI/CD. You may discuss Python and Ansible for automation, Jenkins/GitHub Actions for pipelines, environment provisioning, and configuration management. The goal: shipping changes quickly and safely.
Be ready to go over:
- CI/CD pipelines: Build/test stages, quality gates, artifact management, rollback strategies
- Infrastructure as Code (where applicable): Ansible roles/playbooks, secrets management
- Operational workflows: Incident response, runbooks, postmortems
- Advanced concepts (less common): SDN-oriented automation, policy-as-code, container orchestration patterns
Example questions or scenarios:
- "Automate the deployment of a .NET web app with database migrations and smoke tests. What does your pipeline look like?"
- "Show how you would use Ansible to standardize configuration across environments."
- "Describe an incident you helped resolve using observability data and automation."
Security, Data, and Quality Engineering
Security and data integrity are first-class concerns. Interviewers will examine your approach to least privilege, safe secrets handling, backups/recovery, and testing (unit, integration, and UI). Evidence of thoughtful quality gates and documentation will set you apart.
Be ready to go over:
- Secure coding: Input validation, parameterized queries, dependency scanning
- Data practices: Backup/restore, migration safety, masking, retention policies
- Testing strategy: Unit vs. integration boundaries, mocking, test data management
- Advanced concepts (less common): Threat modeling, security headers, DAST/SAST integration in CI
Example questions or scenarios:
- "Design a backup and recovery approach for a critical student-facing service. What are your RPO/RTO targets and validation steps?"
- "How do you structure integration tests for an API that consumes third-party services?"
- "Walk us through a time you remediated a security vulnerability end-to-end."