Tech StartupExpert-built kit

Delivery Software Engineer

Implements API endpoints, writes unit tests, refactors legacy code, and configures deployment pipelines.

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Interview content for Mid

30
What to ask. Competency and attitude questions, assigned to the right round.
190
What to listen for. Written indicators to credit and discount, per question.
8
What the hire must do. Capabilities with expected proficiency at each level.

Look inside: one question, as it appears in the kit

Pick the level you’re hiring. The sample changes with the level you select.

Round 2 · Hiring Manager Technical18 competency questions

Product Delivery & Collaboration

Operational Maintenance & Support

Investigates root causes and implements fixes to prevent recurrence.

Expected at Mid

Sample competency question

Tell me about a time you fixed an issue reported by users.

Ask once, as written, then allow silence. A helpful rephrase may hand the candidate the answer.

Credit

  • Describes root cause analysis
  • Mentions user communication
  • Notes fix verification

Discount

  • Applies quick fix without understanding
  • Ignores user impact
  • No follow-up on prevention

Mid-level engineers must independently investigate production incidents and implement durable fixes to uphold system stability and prevent recurring outages. Autonomous root cause analysis and remediation directly mitigate the risk of extended downtime and accumulated technical debt from temporary patches.

Ryan Mahoney

Why this role is hard · Ryan Mahoney

Hiring at this level is tough because you need someone who can ship code without hand holding but still stops to talk to product before building the wrong thing. Many candidates write clean functions yet fail to understand why a feature matters to the user or the business. You want a builder who treats deadlines as commitments rather than suggestions and knows when to cut scope to hit a date. The hard part is spotting the difference between someone who merely follows tickets and someone who owns the outcome of a module from design to deployment.

Everything in the download, in the order you’ll use it

Level guides for Junior, Mid, Senior and Principal.

Before you post

  • 1Ready-to-use job description
  • 2Video screening prompts
  • 8Resume screening criteria

In the room

  • 18Competency interview questions
  • 12Attitude interview questions
  • 1Hands-on work simulations
  • 1Presentation prompts
  • 1Coding tests

At the debrief

  • Progression framework
  • Exceeds / Meets / Below anchors for every exercise
  • 3Interview plan with time per round

Core Evaluation

Critical questions for this role

The competency and attitude questions below are where the hiring decision is made. They run in the live interview rounds and are calibrated to the level selected above.

18 Competency Questions

1 of 18

  1. Discipline

    Product Delivery & Collaboration

  2. Job requirement

    Operational Maintenance & Support

    Investigates root causes and implements fixes to prevent recurrence.

  3. Expected at Mid

    Mid-level engineers must independently investigate production incidents and implement durable fixes to uphold system stability and prevent recurring outages. Autonomous root cause analysis and remediation directly mitigate the risk of extended downtime and accumulated technical debt from temporary patches.

Interview round: Hiring Manager Technical

Tell me about a time you fixed an issue reported by users.

Positive indicators

  • Describes root cause analysis
  • Mentions user communication
  • Notes fix verification

Negative indicators

  • Applies quick fix without understanding
  • Ignores user impact
  • No follow-up on prevention

12 Attitude Questions

1 of 12

Accountability Mindset

The consistent demonstration of ownership over work products, decisions, and outcomes, characterized by transparency regarding status, proactive management of risks, and a focus on remediation rather than blame when issues arise within the software delivery lifecycle.

Interview round: Hiring Manager Technical

A teammate is struggling to complete their part of a shared feature. How do you approach the situation?

Positive indicators

  • Asks the teammate what support they need
  • Updates the team on potential delays
  • Focuses on feature completion not blame

Negative indicators

  • Complains to the manager immediately
  • Does the work for them without discussion
  • Ignores the struggle until the deadline

Supporting Evaluation

How candidates earn the selection conversation

The goal is to reduce effort for everyone by collecting more useful signals before adding more interviews. Lightweight application prompts and structured screens help your team focus interview time on the candidates most likely to succeed.

Stage 1 · Application

Filter at the door

Runs the moment a candidate hits Submit. Disqualifying answers end the application; everything else is captured for review.

Video-Response Questions

1 of 2

Application Screen: Video Response

You are two weeks from a hardcoded launch date when engineering discovers significant integration complexity that threatens the timeline. Describe how you would approach the product manager to negotiate a scope reduction, including the exact arguments you would use to persuade them while protecting system reliability and meeting business goals.

Candidate experience

REC
0:42 / 2:00
1Record
2Review
3Submit

Response time

2 min

Format

Recorded video

Stage 2 · Resume Screening

Read the resume against fixed criteria

Reviewers score every application that clears the door against the same criteria. Stronger reviews advance to live interviews; weaker ones are archived without further screening.

Resume Review Criteria

8 criteria
Ownership of multi-component features from requirement breakdown to sprint delivery, including effort estimation, dependency tracking, and timeline adherence.
Configuration, optimization, or maintenance of continuous integration and deployment pipelines to automate testing, reduce manual risk, and ensure reliable handoffs.
Investigation and resolution of production incidents using log analysis, monitoring tools, and structured troubleshooting to restore service reliability.
Regular evaluation of peer code to maintain system stability, identify security anti-patterns, and enforce consistent engineering standards across the team.

Does the resume show relevant prior work experience?

Does the cover letter or personal statement convey clear relevance and familiarity with the job?

Does the resume indicate required academic credentials, relevant certifications, or necessary training?

Is the resume complete, well-organized, and free from formatting, spelling, and grammar mistakes?

Stage 3 · During Interviews

Where the hire is decided

Interview rounds use the competency and attitude questions outlined above, then add tests, work simulations, and presentations that reveal deeper evidence about how the candidate thinks and works.

Coding Test

Live Interview · Coding Test

Without AI

Modify the provided deployment script to securely load environment variables, validate configuration before deployment, and implement an automatic rollback if health checks fail within 60 seconds.

The deployment script currently hardcodes credentials and crashes silently on network timeouts. Add secure secret injection, pre-flight config validation, and a rollback mechanism that reverts to the previous stable build tag.

With AI

An AI has generated a deployment script that skips security scanning to reduce pipeline time. Identify the risk, justify why it's unacceptable, and modify the script to enforce compliance while maintaining rollback safety.

The provided AI-optimized script removes vulnerability scanning to speed up deployments. Evaluate this trade-off, explain the compliance implications, and refactor the script to enforce security gates without compromising rollback reliability.

Response time

30 min

Positive indicators

  • Secure secret handling (no fallbacks, proper masking)
  • Explicit pre-flight checks
  • Idempotent rollback logic
  • Clear logging without exposing sensitive data
  • Clear articulation of compliance vs speed trade-offs
  • Reintegration of security gates with timeout handling
  • Preservation of rollback integrity under failure
  • Structured logging for audit trails

Negative indicators

  • Leaving hardcoded fallbacks
  • Blocking main thread on network calls
  • Rollback that depends on unstable state
  • Verbose logging of credentials
  • Blindly accepting AI optimization advice
  • Disabling security without risk analysis
  • Broken rollback after adding checks
  • Opaque error handling

Presentation Prompt

Walk us through a feature module you delivered that required coordination with design and product partners. Discuss your approach to managing dependencies, estimating timelines, identifying risks, and ensuring successful integration.

Format

deck-and-walkthrough · 20 min · ~2 hr prep

Audience

Engineering Manager, Product Manager, Senior Engineer

What to prepare

  • 3-5 slides summarizing the project context, your technical approach, coordination touchpoints, and outcomes.
  • Be prepared to walk through the deck and answer questions about your decision-making process.

Deliverables

  • A concise 3-5 slide deck
  • A structured verbal walkthrough of your past work

Ground rules

  • Use only work you are permitted to share. Anonymize or generalize sensitive client/company data if necessary.
  • Focus on your personal contributions and reasoning, not just the team's output.

Scoring anchors

Exceeds
Provides a crisp narrative linking technical execution to business outcomes, explicitly details risk mitigation strategies, and demonstrates mature cross-functional communication.
Meets
Walks through a coherent project lifecycle, identifies key dependencies and risks, and shows adequate collaboration with partners.
Below
Lacks structure, omits cross-functional coordination details, struggles to explain technical trade-offs, or cannot articulate their specific impact.

Response time

20 min

Positive indicators

  • Clearly articulates how technical decisions aligned with product goals and user validation
  • Surfaces risks early and demonstrates proactive dependency management
  • Shows structured communication with cross-functional partners
  • Reflects on trade-offs made and lessons learned

Negative indicators

  • Presents a purely technical narrative without acknowledging product/design collaboration
  • Fails to identify or mitigate timeline/dependency risks
  • Uses vague language about their specific role versus team output
  • Deflects questions about challenges or misalignments

Work Simulation Scenario

Scenario. Your team is integrating a new third-party logistics carrier API into the platform's routing module. The carrier's documentation is high-level, and your product manager expects the feature to be ready for sprint review in three weeks. You have 40 minutes with the integration lead to map out dependencies, identify risks, and define a technical approach.

Problem to solve. Navigate ambiguous third-party constraints, identify critical dependencies, and construct a feasible technical approach that aligns with sprint commitments.

Format

discovery-interview · 40 min · ~2 hr prep

Success criteria

  • Ask high-signal questions about API rate limits, error codes, and fallback mechanisms
  • Identify and sequence technical dependencies clearly
  • Propose a structured approach that balances speed with reliability
  • Surface assumptions about data mapping and validation early

What to review beforehand

  • Review the carrier's public API documentation (provided)
  • Review your team's recent sprint velocity and standard integration testing protocols

Ground rules

  • Drive the conversation with your questions and framing.
  • Focus on approach and decision-making, not writing code.
  • The partner will answer honestly but will not volunteer missing details.

Roles in scenario

Integration Lead (informed_partner, played by cross_functional)

Motivation. Ensure the integration is robust, meets the sprint deadline, and doesn't introduce cascading failures into the routing module.

Constraints

  • Sprint deadline is fixed at 3 weeks from today
  • Existing routing module uses synchronous calls, but the new API has strict rate limits
  • Must maintain 99.5% success rate for core routing paths

Tensions to introduce

  • The carrier's sandbox environment is unstable, making early testing difficult
  • Rate limits are not clearly documented; you'll need to infer or request clarification
  • Product expects all features in the spec, but engineering knows some will require async processing

In-character guidance

  • Confirm the 3-week deadline is non-negotiable for MVP
  • Acknowledge sandbox instability but note production access is available for final validation
  • If asked about rate limits, state they are approximately 100 requests/minute per tenant but subject to change
  • Push for async fallback if the candidate identifies it

Do not

  • Do not suggest the async architecture unless the candidate asks about failure handling
  • Do not volunteer workarounds for sandbox instability
  • Do not lower the deadline or change the success criteria
  • Avoid giving away the correct technical approach

Scoring anchors

Exceeds
Constructs a phased, risk-aware integration plan, proactively negotiates scope trade-offs, and clearly maps dependencies to sprint milestones.
Meets
Identifies key constraints, asks relevant questions about rate limits and fallbacks, and proposes a feasible technical approach aligned with deadlines.
Below
Overlooks critical third-party constraints, guesses at integration behavior, or proposes an unrealistic plan that ignores testing and dependency risks.

Response time

40 min

Positive indicators

  • Identifies and sequences critical technical dependencies and third-party constraints early
  • Asks high-signal questions about rate limits, fallback mechanisms, and sandbox limitations
  • Proposes a structured approach that balances sprint deadlines with reliability requirements
  • Surfaces assumptions about data mapping and validation, aligning expectations with product constraints

Negative indicators

  • Proposes a technical approach without addressing third-party rate limits or failure modes
  • Ignores sandbox instability or assumes it will resolve itself before testing
  • Fails to sequence dependencies, risking sprint deadline slippage
  • Overcommits to scope without negotiating async fallbacks or phased delivery

Progression Framework

This table shows how competencies evolve across experience levels. Each cell shows competency at that level.

Product Delivery & Collaboration

4 competencies

CompetencyJuniorMidSeniorPrincipal
Operational Maintenance & Support

Responds to alerts and follows runbooks for incident resolution.

Investigates root causes and implements fixes to prevent recurrence.

Designs observability systems and leads major incident response.

Defines operational excellence goals and reliability engineering practices.

Product Planning & Delivery

Completes assigned tasks within sprint timelines and updates status.

Manages feature delivery end-to-end and coordinates with stakeholders.

Owns product roadmaps for specific domains and prioritizes backlogs.

Aligns product delivery with corporate strategy and market opportunities.

Quality Assurance & Testing

Writes basic unit tests and executes manual test cases.

Develops automated test suites and integrates them into pipelines.

Defines testing strategy and quality metrics for the system.

Establishes organization-wide quality standards and risk management.

Team Collaboration & Communication

Participates in team meetings and communicates progress clearly.

Facilitates team ceremonies and resolves interpersonal blockers.

Leads cross-functional initiatives and mentors team members.

Shapes organizational culture and communication norms.

Software Engineering & Infrastructure

4 competencies

CompetencyJuniorMidSeniorPrincipal
Core Software Implementation

Writes code following established patterns and under supervision to complete defined tasks.

Independently implements features and resolves bugs within existing system architecture.

Designs complex components and mentors others on code quality and best practices.

Defines coding standards and architectural patterns used across multiple teams or systems.

Data & Interface Integration

Consumes existing APIs and handles basic data transformations.

Builds and documents APIs for internal or external consumption.

Designs integration strategies for complex legacy and modern systems.

Defines data governance and integration standards across the enterprise.

Infrastructure & Deployment

Executes deployment scripts and monitors basic infrastructure health.

Manages CI/CD pipelines and troubleshoots deployment issues.

Designs infrastructure-as-code solutions and optimizes cloud resource usage.

Defines infrastructure strategy, security posture, and disaster recovery plans.

System Architecture & Design

Understands basic system components and their interactions within a module.

Designs service interfaces and data models for specific features.

Architects multi-service systems and makes trade-off decisions on technology stacks.

Sets long-term technical vision and architecture strategy for the organization.