Solutions Discovery & Scoping
As a pre-sales technical leader, your ability to uncover the root cause of a customer's problem is paramount. This area evaluates your consultative skills, your executive presence, and your structured problem-solving approach. Strong performance means you don't just take feature requests; you map entire workflows, document complex technical environments, and assess the feasibility of potential solutions before writing a single line of code.
Be ready to go over:
- Workflow Mapping – How you visualize and document a client's current state versus their desired future state.
- Pain Point Identification – Techniques you use to gently probe stakeholders and uncover hidden technical or business bottlenecks.
- Feasibility Assessment – How you determine if a solution is viable within the constraints of time, budget, and existing infrastructure.
- Advanced concepts (less common) – Navigating highly regulated environments (e.g., Healthcare, FinTech compliance) during the discovery phase.
Example questions or scenarios:
- "Walk me through a time you led a discovery session with a skeptical enterprise client. How did you uncover their true technical pain points?"
- "A client wants to implement a generative AI solution but has highly fragmented, unstructured data. How do you scope this engagement?"
- "Describe a scenario where a customer's requested architecture was not feasible. How did you pivot the conversation and propose an alternative?"
Solution Architecture & Design
Once the problem is scoped, you must design a scalable, secure, and modern architecture. We evaluate your deep experience in cloud platforms, system design, and API development. A strong candidate will seamlessly transition from high-level whiteboard diagrams to discussing the specific nuances of data engineering and microservices.
Be ready to go over:
- Cloud Infrastructure – Deep knowledge of AWS, GCP, or Azure, and when to leverage specific managed services.
- Data Engineering & APIs – Designing robust data pipelines and RESTful/GraphQL APIs that integrate cleanly with legacy enterprise systems.
- AI/ML Integration – Practical application of AI fundamentals, particularly designing architectures that incorporate LLMs, RAG (Retrieval-Augmented Generation), and vector databases.
- Advanced concepts (less common) – Multi-cloud architectures and complex Kubernetes orchestration for globally distributed teams.
Example questions or scenarios:
- "Design an architecture for a real-time talent matching platform using AWS services and an LLM for semantic search."
- "How would you design a secure, highly available API gateway for a client transitioning from a monolith to microservices?"
- "Explain your approach to designing a RAG pipeline for a customer who needs to query proprietary internal documents securely."
Proof-of-Concept (POC) Development
At Andela, architects do not just draw diagrams; they build. This area tests your "player-coach" mentality and your full-stack engineering capabilities. You are evaluated on your ability to rapidly build working, production-quality POCs that integrate with customer systems. Strong performance looks like scrappy, efficient coding combined with DevOps best practices (CI/CD, Docker).
Be ready to go over:
- Full-Stack Engineering – Your ability to write clean, functional code across the stack to bring an idea to life quickly.
- DevOps & Deployment – Setting up automated CI/CD pipelines and containerizing your POCs with Docker or Kubernetes.
- Iterative Development – How you incorporate rapid customer feedback to tweak and improve the POC during the pre-sales cycle.
- Advanced concepts (less common) – Writing custom integrations for niche or proprietary enterprise resource planning (ERP) systems.
Example questions or scenarios:
- "Tell me about a time you had to build a technical POC under a tight deadline to win a deal. What shortcuts did you take, and what did you refuse to compromise on?"
- "How do you ensure that the POCs you build can be seamlessly handed off to a delivery team for production scaling?"
- "Describe your process for containerizing a full-stack application and setting up a basic CI/CD pipeline for a client demo."
Exceptional Leadership & Culture Fit
Your technical skills will get you in the door, but your alignment with Andela’s core values will secure the offer. We evaluate your ego, your willingness to take ownership, and your ability to act as a servant leader. A strong candidate demonstrates a "one team mentality," actively seeks out critical feedback, and frames every technical decision around solving a core business problem.
Be ready to go over:
- Low Ego & Servant Leadership – Sharing credit with the team and taking the blame when things go wrong; embracing better ideas from others.
- Owner, Not Renter – Identifying organizational or process gaps and taking the initiative to fix them without being asked.
- Player-Coach Mentality – Balancing high-level strategic thinking with a willingness to roll up your sleeves and engage in the details.
- Advanced concepts (less common) – Leading cross-cultural, fully remote, globally distributed technical teams through periods of high ambiguity.
Example questions or scenarios:
- "Tell me about a time you strongly advocated for a technical direction, but a peer had a better idea. How did you handle it?"
- "Describe a situation where you saw a problem outside your direct responsibilities and took ownership to fix it."
- "How do you balance the need to fly high and create strategy with the necessity of diving low into the technical details?"
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