To succeed in the Wizeline interview process, you must demonstrate a balance of technical depth, structured problem-solving, and professional communication. We do not expect you to know every tool in the DevOps ecosystem, but we do expect you to have a strong grasp of foundational principles and the ability to learn quickly.

Your interviewers will evaluate you against four core criteria:

Role-Related Knowledge – This is the foundation of your evaluation. You must demonstrate a deep understanding of cloud platforms (primarily AWS), containerization, Infrastructure as Code (IaC), and continuous integration/continuous delivery (CI/CD) pipelines. We look for candidates who understand why a technology is used, not just how to configure it.

Problem-Solving & Debugging – When systems fail, your approach to diagnosing the root cause is critical. We assess your ability to logically isolate variables, analyze logs, and implement permanent fixes rather than temporary workarounds. You should be comfortable thinking out loud and explaining your diagnostic process step-by-step.

Consultative Communication – As a DevOps Engineer at Wizeline, you are an advisor to our clients. You must be able to articulate complex technical architectures clearly, justify your design decisions, and tailor your communication style to both highly technical engineers and business-focused stakeholders.

Culture Alignment & Mentorship – We value collaboration, continuous learning, and mentorship. You should demonstrate a passion for sharing knowledge, helping client teams adopt modern engineering practices, and maintaining a positive, solution-oriented attitude under pressure.

The Wizeline recruitment process is designed to be transparent, agile, and highly interactive. We aim to respect your time, often offering the flexibility to consolidate technical stages to accelerate the overall timeline. The process focuses on practical scenarios and architectural discussions rather than high-stress, abstract coding tests.

The typical journey of a candidate consists of an initial screening, a practical assessment, and a series of technical and consultative discussions. The process is highly collaborative, giving you the opportunity to interact with senior SRE leaders and AWS-certified engineers who will provide valuable feedback throughout.

The timeline above illustrates the standard progression from your initial contact to the final offer. Candidates should use this visual to pace their preparation, ensuring they allocate sufficient time to review both system design principles and practical troubleshooting scenarios before the technical rounds. While some stages can be scheduled on the same day for speed, giving yourself a few days of preparation between the take-home task and the architecture loop is highly recommended.

Cloud Architecture & System Design

This evaluation area focuses on your ability to design robust, scalable, and secure cloud infrastructure. Rather than asking you to draw generic diagrams, our interviewers will present you with real-world client requirements and constraints, asking you to design a solution from scratch.

Strong performance in this area is characterized by a structured approach: gathering requirements, identifying potential bottlenecks, prioritizing security, and explaining the trade-offs of your architectural decisions.

Be ready to go over:

• AWS Well-Architected Framework – Designing with operational excellence, security, reliability, performance efficiency, and cost optimization in mind.
• Microservices Infrastructure – Designing containerized environments using ECS, EKS, and serverless components.
• Network Topology – Structuring VPCs, subnets, route tables, security groups, and cloud connectivity (e.g., Transit Gateway, VPN).
• Advanced concepts – Multi-region replication, disaster recovery patterns, and high-availability database clustering.

Example scenarios:

• "Design a secure, highly available infrastructure on AWS for a financial services client that must comply with strict data isolation regulations."
• "A client expects a massive traffic spike during a seasonal sales event. Walk me through how you would scale and cache their existing architecture to handle 10x the normal load."

Practical Troubleshooting & Debugging

This stage evaluates your hands-on engineering capabilities. Instead of a standard algorithmic coding test, you will face a debugging or pair-programming session, or a practical take-home task. The goal is to see how you interact with code, configuration files, and deployment pipelines to resolve real issues.

Your interviewers want to see how you read logs, isolate errors, and write clean, maintainable automation scripts or IaC configurations.

Be ready to go over:

• Container Debugging – Troubleshooting Dockerfiles, container resource limits, and network connectivity issues.
• CI/CD Pipeline Failures – Resolving broken build stages, permission issues in runner environments, and deployment rollbacks.
• Infrastructure as Code – Identifying syntax errors, state conflicts, or resource dependency issues in Terraform configurations.
• Advanced concepts – Writing robust Bash or Python scripts to automate complex operational tasks or parse large log files.

Example scenarios:

• "You are presented with a Terraform configuration that is failing to apply due to circular dependencies. Walk us through how you identify and resolve the issue."
• "A deployment pipeline is failing at the container build stage. Review the Dockerfile and build logs to identify the security vulnerabilities and build errors preventing a successful run."

Client Consulting & Mentorship

Because Wizeline is a technical consulting partner, your ability to guide clients through engineering transformations is critical. This interview evaluates how you handle client relationships, manage technical debt, and mentor teams that are transitioning to modern DevOps practices.

We look for empathy, structured communication, and the ability to remain calm and constructive during difficult client conversations.

Be ready to go over:

• Technical Translation – Explaining complex cloud concepts, technical debt, or architectural risks in simple, business-oriented terms.
• Handling Resistance – Strategies for managing clients who are resistant to adopting automated testing, CI/CD, or cloud-native tooling.
• Incident Communication – How to update client stakeholders during a critical outage while the engineering team works on a fix.
• Advanced concepts – Designing training or enablement programs to help client engineers adopt modern DevOps practices independently.

Example scenarios:

• "A client wants to lift-and-shift their legacy, on-premise application directly to AWS EC2 without any modernization. How do you advise them on the risks and present a more sustainable migration path?"
• "Walk us through how you would conduct a post-mortem meeting with a client after a major production outage caused by a manual configuration error."