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ASML·Software Engineer·Technical Phone Screen·Senior

Senior
Apr 2026

Summary

Technical screen for a Data Engineer role at ASML that went deep into Infrastructure as Code. The whole conversation was basically one long IaC deep-dive, which I wasn't fully expecting at this level. Left feeling okay about some parts and genuinely uncertain about others.

Questions Asked (9)

Q1

What is Infrastructure as Code and why does it matter in practice?

System DesignTechnical Trade-offs
Author's notes

Started with this as a warmup and I almost over-explained it.

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AI HintsAI Generated

Suggested Approach

Start by defining Infrastructure as Code (IaC) as managing infrastructure through machine-readable definition files rather than manual processes. Then explain its practical importance by connecting it to key benefits like reproducibility, version control, and automation, using a concrete example from your experience. Finally, tie it back to ASML's context of complex, high-stakes systems where reliability and traceability are critical.

Pro tip: Emphasize that IaC is not just about automation but about treating infrastructure as a software product, enabling collaboration, testing, and continuous improvement. Mention that at ASML, where systems are highly complex and regulated, IaC ensures consistency and auditability, which are essential for compliance and risk management.

1. Define IaC

Clearly state that IaC is the practice of defining and provisioning infrastructure (networks, servers, databases, etc.) using code and configuration files, often stored in version control.

2. Explain Why It Matters

Discuss the core benefits: reproducibility, versioning, automation, reduced human error, and faster deployment. Highlight how it enables DevOps and continuous delivery.

3. Provide a Practical Example

Share a specific scenario where you used IaC (e.g., Terraform, Ansible, CloudFormation) to solve a problem, such as scaling environments or ensuring consistency across dev/prod.

4. Connect to ASML's Context

Relate IaC to ASML's needs: managing complex, high-availability systems, ensuring compliance, and enabling rapid, reliable changes in a regulated environment.

5. Acknowledge Trade-offs

Briefly mention challenges like initial learning curve, tooling complexity, and the need for discipline, showing balanced understanding.

Key Points to Mention

  • Version control and collaboration: infrastructure definitions can be reviewed, tested, and rolled back like application code.
  • Consistency and reproducibility: eliminates configuration drift and ensures identical environments across stages.
  • Automation and speed: enables rapid provisioning and updates, supporting CI/CD pipelines.
  • Reduced risk: minimizes human error and provides audit trails for compliance.
  • Tooling examples: Terraform, Ansible, Puppet, Chef, CloudFormation, or Kubernetes manifests.
  • Cultural shift: IaC is part of DevOps and requires collaboration between development and operations teams.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.

Q2

What's the difference between declarative and imperative IaC tools, and when would you choose one over the other?

Technical Trade-offsSystem Design
Author's notes

This is where it got interesting.

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AI HintsAI Generated

Suggested Approach

Start by clearly defining declarative and imperative IaC with examples, then contrast their key characteristics (state management, idempotency, complexity). Finally, explain selection criteria based on use case, team expertise, and operational needs, tying it back to ASML's context of complex, high-stakes systems.

Pro tip: Emphasize that the choice isn't binary—many mature IaC setups combine both paradigms (e.g., Terraform for declarative infra, Ansible for imperative config). Highlight how you'd evaluate trade-offs in a regulated, precision-driven environment like ASML.

1. Define the paradigms

Clearly define declarative IaC (specify desired end state, e.g., Terraform, CloudFormation) and imperative IaC (specify exact steps, e.g., Ansible, Chef). Mention that declarative focuses on 'what' and imperative on 'how'.

2. Compare key characteristics

Discuss differences in idempotency, state management, complexity, and learning curve. For example, declarative tools often manage state and ensure idempotency, while imperative tools give more control but require manual idempotency handling.

3. Explain when to choose each

Describe scenarios: declarative for stable, repeatable infrastructure provisioning (e.g., cloud resources); imperative for complex, procedural tasks (e.g., legacy system configuration, multi-step deployments).

4. Relate to ASML context

Connect to ASML's needs: high reliability, compliance, and complex systems. Suggest that declarative might be preferred for reproducibility and auditability, while imperative could handle specialized, one-off configurations.

5. Conclude with a balanced view

Summarize that the best choice depends on specific requirements, and often a hybrid approach is practical. Show awareness of trade-offs and team dynamics.

Key Points to Mention

  • Idempotency and state management differences
  • Examples of tools: Terraform (declarative), Ansible (imperative), and their typical use cases
  • Trade-offs: declarative offers simplicity and consistency; imperative offers flexibility and control
  • Team expertise and existing tooling influence tool choice
  • Hybrid approaches are common in real-world DevOps
  • ASML's context: need for reproducibility, compliance, and handling complex, precise systems

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.

Q3

How does Terraform manage state, and what problems can come up with it in a team environment?

System DesignTechnical Trade-offs
Author's notes

Remote backends and state locking, covered both.

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AI HintsAI Generated

Suggested Approach

Start by explaining how Terraform state works as a mapping between resources and real infrastructure, then discuss the challenges of state management in a team setting, focusing on collaboration, consistency, and security. Emphasize solutions like remote backends, state locking, and workspaces, and tie them to trade-offs in system design.

Pro tip: Highlight that state is a critical single source of truth and that losing or corrupting it can lead to catastrophic infrastructure drift; mention that using remote backends with locking (e.g., S3 + DynamoDB) is a best practice, but also note the trade-off of increased complexity and potential for lock contention.

1. Explain Terraform State Basics

Define what Terraform state is: a file that maps declared resources to real-world infrastructure and stores metadata. Mention that it's crucial for planning, applying, and destroying resources.

2. Describe State Storage and Locking

Discuss how state can be stored locally or remotely (e.g., S3, GCS, Terraform Cloud). Explain the importance of state locking to prevent concurrent modifications, and how backends like S3 with DynamoDB provide locking.

3. Identify Team Collaboration Challenges

Outline problems in team environments: state file conflicts, accidental overwrites, lack of visibility, and security risks (e.g., secrets in state). Mention how these can cause drift, outages, or security breaches.

4. Present Solutions and Trade-offs

Describe best practices: remote backends with locking, state segmentation (workspaces or separate states per environment/team), and access controls. Discuss trade-offs like increased setup complexity, cost, and potential bottlenecks.

5. Relate to System Design and ASML Context

Connect to system design principles: consistency, reliability, and scalability. For ASML, emphasize the need for robust, auditable infrastructure management in a high-tech, regulated environment.

Key Points to Mention

  • Terraform state is a JSON file that tracks resource metadata and dependencies.
  • Remote backends (e.g., S3, Terraform Cloud) enable team collaboration and state locking.
  • State locking prevents concurrent operations that could corrupt state.
  • State segmentation (workspaces, separate states) reduces blast radius and conflicts.
  • Security concerns: state may contain sensitive data; use encryption and access controls.
  • Trade-offs: remote backends add complexity but improve reliability and collaboration.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.

Q4

How do you structure reusable modules in Terraform and what patterns have you used?

System Design
Author's notes

Fine.

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AI HintsAI Generated

Suggested Approach

Start by defining what makes a module reusable—abstraction, parameterization, and versioning—then walk through a concrete pattern you've implemented, such as a standard module structure with variables, outputs, and examples. Emphasize how you balance flexibility with simplicity, and tie it to ASML's need for scalable, compliant infrastructure.

Pro tip: Show that you treat modules as products: they need documentation, semantic versioning, and a clear contract. Mention how you've used tools like Terratest or terraform-docs to enforce quality, which signals maturity beyond just writing code.

1. Define reusability principles

Explain that reusable modules should be self-contained, parameterized via input variables, and expose outputs for consumption. Avoid hardcoding environment-specific values.

2. Describe module structure

Outline a standard directory layout: main.tf, variables.tf, outputs.tf, versions.tf, README.md, and examples/. This promotes consistency and discoverability.

3. Share a concrete pattern

Detail a pattern you've used, such as the 'composition' pattern where small modules are combined into larger ones, or the 'factory' pattern using for_each to create multiple resources from a map.

4. Discuss versioning and distribution

Explain how you version modules (e.g., semantic versioning) and distribute them via a registry, Git tags, or a private module registry. Mention dependency locking.

5. Highlight testing and validation

Describe how you test modules: unit tests with Terratest, integration tests, and validation using tflint, checkov, or terraform validate. Emphasize CI/CD integration.

Key Points to Mention

  • Input variables with validation and sensible defaults to enforce constraints and reduce errors.
  • Outputs that expose only necessary attributes and use sensitive flag where needed.
  • Use of for_each and count for dynamic resource creation, avoiding hardcoded values.
  • Module versioning with semantic versioning and immutable tags for stability.
  • Documentation generation with terraform-docs and examples for each module.
  • Testing strategies including Terratest, unit tests, and policy-as-code with OPA or Sentinel.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.

Q5

How do you handle secrets in an IaC setup without putting them in the repo?

System DesignTechnical Trade-offs
Author's notes

Vault and AWS Secrets Manager came up, and I made sure to be emphatic about never committing secrets.

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AI HintsAI Generated

Suggested Approach

Start by acknowledging that secrets should never be stored in version control, then outline a layered strategy: use a dedicated secrets manager (e.g., HashiCorp Vault, AWS Secrets Manager) as the source of truth, inject secrets at deploy time via environment variables or dynamic references, and ensure the IaC code only references secret identifiers, not values. Emphasize that this approach maintains security, auditability, and reproducibility while fitting into CI/CD pipelines.

Pro tip: Mention that you also rotate secrets regularly and use short-lived credentials where possible, and that you enforce this with pre-commit hooks and secret scanning in CI to catch accidental commits early.

1. Identify and Classify Secrets

Determine what constitutes a secret in your IaC (e.g., API keys, passwords, certificates) and classify them by sensitivity and rotation requirements.

2. Choose a Secrets Management Solution

Select a centralized secrets manager (e.g., Vault, AWS Secrets Manager, Azure Key Vault) that integrates with your IaC tool and CI/CD pipeline.

3. Integrate with IaC and CI/CD

Configure your IaC to fetch secrets at runtime from the manager, using dynamic references or environment variables, and ensure the CI/CD pipeline has secure access to the manager.

4. Enforce Guardrails

Implement pre-commit hooks, secret scanning, and policy checks to prevent secrets from being committed, and audit access to secrets regularly.

5. Rotate and Audit

Establish a rotation policy for secrets and monitor usage to detect anomalies, ensuring compliance and minimizing blast radius if compromised.

Key Points to Mention

  • Never store secrets in plaintext in the repository or IaC files.
  • Use a dedicated secrets manager (e.g., HashiCorp Vault, AWS Secrets Manager) as the single source of truth.
  • Inject secrets at deploy time via environment variables or dynamic references, not at build time.
  • Implement secret scanning and pre-commit hooks to prevent accidental commits.
  • Rotate secrets regularly and use short-lived credentials where possible.
  • Ensure audit logging and access controls are in place for secrets retrieval.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.

Q6

How do you integrate IaC into a CI/CD pipeline, specifically around the plan and apply stages?

System DesignAPI & Integrations
Author's notes

Talked about running terraform plan on PRs so reviewers can see the diff, then gating apply behind a merge to main.

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AI HintsAI Generated

Suggested Approach

Start by explaining the typical stages of an IaC pipeline: validate, plan, approve, apply. Then focus on how you handle the plan and apply stages, emphasizing safety, collaboration, and automation. Highlight how you integrate with CI/CD tools and manage state.

Pro tip: Always store the plan output as an artifact and require manual approval before apply, especially for production. This prevents accidental changes and provides an audit trail.

1. Validate and Lint

Run static analysis and linting on IaC code to catch syntax errors and enforce best practices before planning.

2. Generate Plan

Execute the plan stage in a CI job, capturing the output and storing it as an artifact for review and approval.

3. Review and Approve

Implement a manual approval gate (e.g., in the CI/CD tool) where team members review the plan and approve or reject.

4. Apply Changes

Upon approval, trigger the apply stage, ensuring it uses the exact plan artifact and locks the state to prevent concurrent modifications.

5. Post-Apply Verification

Run automated tests or checks to verify the infrastructure is in the desired state and notify stakeholders.

Key Points to Mention

  • Use of remote state storage (e.g., S3, Terraform Cloud) with locking to avoid conflicts.
  • Separation of environments (dev, staging, prod) with different approval requirements.
  • Integration with CI/CD tools like Jenkins, GitLab CI, or GitHub Actions.
  • Security considerations: secrets management, least privilege for service accounts.
  • Idempotency and drift detection to ensure consistency.
  • Rollback strategies in case of failed apply.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.

Q7

What is infrastructure drift and how do you detect and fix it?

Root Cause AnalysisSystem Design
Author's notes

Blanked for a second on the word 'remediation' and just said 'fixing drift' the whole time.

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AI HintsAI Generated

Suggested Approach

Define infrastructure drift as the divergence between the actual state of infrastructure and its declared or desired state, then explain how you detect it using tools like Terraform plan or drift detection services, and finally describe remediation strategies such as automated reconciliation or manual updates. Emphasize prevention through immutable infrastructure and CI/CD pipelines to avoid drift.

Pro tip: Highlight that drift isn't always bad—sometimes it's a signal that your IaC needs updating—and mention that you treat drift detection as part of your observability stack, not just a one-time fix.

1. Define infrastructure drift

Explain that drift occurs when the real-world infrastructure configuration deviates from the version-controlled infrastructure-as-code (IaC) definitions, often due to manual changes, external updates, or failed automation.

2. Explain why drift matters

Discuss the risks: inconsistent environments, security vulnerabilities, deployment failures, and difficulty in reproducing issues. Tie this to ASML's need for reliability and compliance in semiconductor manufacturing.

3. Describe detection methods

Mention tools like Terraform plan/refresh, AWS Config, Azure Policy, or custom scripts that compare actual state to desired state. Also note periodic audits and CI/CD pipeline checks.

4. Outline remediation strategies

Explain options: automated reconciliation (e.g., Terraform apply), manual fixes with root cause analysis, or updating IaC to reflect intentional changes. Stress the importance of preventing recurrence.

5. Discuss prevention and best practices

Advocate for immutable infrastructure, strict change management, and integrating drift detection into CI/CD. Mention that drift detection should be continuous, not ad-hoc.

Key Points to Mention

  • Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible
  • Drift detection mechanisms: plan/apply, state comparison, cloud-native tools
  • Root cause analysis: manual changes, hotfixes, external dependencies
  • Automated remediation vs. manual intervention trade-offs
  • Prevention: immutable infrastructure, GitOps, policy as code
  • Observability and alerting for drift events

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.

Q8

How do you test Infrastructure as Code? What tools or approaches have you used?

Technical Trade-offsSystem Design
Author's notes

Mentioned terratest and kitchen-terraform.

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AI HintsAI Generated

Suggested Approach

Start by defining what testing IaC means: validating syntax, ensuring security and compliance, and verifying that the deployed infrastructure matches expectations. Then describe a layered testing strategy (static analysis, unit, integration, and end-to-end) and mention specific tools you've used at each layer, emphasizing how you balance thoroughness with speed and cost.

Pro tip: Highlight the importance of testing in ephemeral environments and cleaning up resources to avoid cost overruns, and mention how you integrate these tests into CI/CD pipelines to catch issues early.

1. Static Analysis and Linting

Use tools like tflint, checkov, or cfn-lint to catch syntax errors, best practice violations, and security misconfigurations before deployment.

2. Unit Testing

Test individual modules or resources in isolation using frameworks like Terratest or pytest with localstack to validate logic and input/output behavior.

3. Integration Testing

Deploy the infrastructure to a sandbox environment and run tests to verify that resources are created correctly and interact as expected, using tools like Terratest or InSpec.

4. End-to-End Testing

Validate the entire system in a production-like environment, including application deployment and functional tests, to ensure the infrastructure supports the desired outcomes.

5. Continuous Testing in CI/CD

Integrate all testing layers into the CI/CD pipeline, running them automatically on code changes and enforcing quality gates before merging or deploying.

Key Points to Mention

  • Static analysis tools (e.g., tflint, checkov, cfn-lint) for catching errors early
  • Unit testing frameworks (e.g., Terratest, pytest with localstack) for module-level validation
  • Integration testing in ephemeral environments with automated cleanup
  • End-to-end testing to validate full system behavior
  • CI/CD integration with quality gates and automated test execution
  • Security and compliance scanning (e.g., checkov, tfsec) as part of the testing strategy

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.

Q9

Walk me through a real IaC setup you built or contributed to significantly.

System DesignTechnical Trade-offs
Author's notes

This was the longest part.

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AI HintsAI Generated

Suggested Approach

Choose a single IaC project where you had significant ownership, and narrate it as a story: context, technical decisions, implementation, and measurable outcomes. Focus on trade-offs you made and why, since ASML values engineering rigor and system design thinking.

Pro tip: Quantify impact wherever possible (e.g., 'reduced provisioning time from 2 days to 15 minutes') and be ready to discuss what you would do differently now—this shows growth and self-awareness.

1. Set the context

Briefly describe the team, the system being managed, and the pain points that motivated adopting or improving IaC. Keep it to 2-3 sentences so you can spend more time on the technical details.

2. Explain the architecture and tooling

Name the specific tools (e.g., Terraform, Ansible, CloudFormation, Pulumi) and how they fit together. Describe the repository structure, state management, and how environments (dev/staging/prod) were handled.

3. Highlight key technical decisions and trade-offs

Pick 2-3 important choices (e.g., monolithic vs. modular state, custom modules vs. community modules, testing strategy) and explain why you chose one option over another, including constraints like team size, compliance, or legacy systems.

4. Describe implementation and challenges

Walk through how you rolled it out, any obstacles (e.g., drift, secret management, CI/CD integration), and how you overcame them. Mention collaboration with other teams if relevant.

5. Share results and lessons learned

Quantify the impact (time saved, error reduction, deployment frequency) and reflect on what you would improve or do differently next time. This shows maturity and continuous improvement.

Key Points to Mention

  • Specific IaC tools used (e.g., Terraform, Ansible, CloudFormation) and why they were chosen
  • State management strategy (remote backend, locking, workspaces) and how you avoided drift
  • Modularity and reuse: how you structured modules and handled environment-specific configurations
  • CI/CD integration: how IaC was tested, validated, and deployed automatically
  • Security and compliance considerations (e.g., secrets management, policy as code, audit trails)
  • Measurable outcomes: time savings, error reduction, scalability improvements, or team velocity gains

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.