1. What is a Solutions Architect at Akamai?
At Akamai, the Solutions Architect (SA) is a pivotal role that bridges the gap between complex business requirements and our world-class distributed edge platform. You are not just a technical resource; you are a strategic partner to our customers, helping them navigate the challenges of delivering secure, high-performance digital experiences. Whether working with Global 500 enterprises or critical government agencies, your work directly influences how the internet functions for billions of users.
This position places you at the intersection of cloud computing, security, and content delivery. You will leverage Akamai’s massive intelligent edge platform to design solutions that protect applications from cyber threats, accelerate content delivery, and enable edge computing. With recent initiatives in AI inference and GPU-based cloud solutions, the scope of the SA role is expanding. You will be expected to architect solutions that are not only robust and scalable but also innovative, utilizing the full breadth of Akamai’s Connected Cloud.
You will join a team that prides itself on deep technical expertise and a "customer-centric" approach. As a Solutions Architect, you define the technical strategy, oversee implementation, and ensure that customers extract maximum value from their partnership with Akamai. This is a role for builders, problem solvers, and communicators who thrive on making the internet faster, smarter, and more secure.
2. Common Interview Questions
See every interview question for this role
Sign up free to access the full question bank for this company and role.
Sign up freeAlready have an account? Sign inPractice questions from our question bank
Curated questions for Akamai from real interviews. Click any question to practice and review the answer.
Problem At Stripe, a service stores event sequences as singly linked lists. Write a function that reverses a singly linked list and returns the new head. ...
Explain how SQL and NoSQL databases differ in schema, consistency, scaling, and query patterns.
Design an idempotent payment API and ETL pipeline that prevents duplicate charges during retries while publishing exactly-once payment events downstream.
Sign up to see all questions
Create a free account to access every interview question for this role.
Sign up freeAlready have an account? Sign in3. Getting Ready for Your Interviews
Preparing for an interview at Akamai requires a shift in mindset. You are not just being tested on what you know; you are being evaluated on how you apply that knowledge to solve real-world problems under constraints. Approach your preparation with the goal of demonstrating how you can be a trusted technical advisor.
We evaluate candidates based on four primary criteria:
Fundamental Internet Technologies You must possess a deep, foundational understanding of how the internet works. We evaluate your grasp of core protocols (DNS, TCP/IP, HTTP/S), routing, and caching. At Akamai, these are not abstract concepts; they are the building blocks of everything we do.
Solution Design & Architecture We assess your ability to design scalable, secure, and resilient systems. You will need to demonstrate how you integrate various technologies—such as load balancers, firewalls (WAF), and edge compute modules—to meet specific customer needs like high availability or low latency.
Customer Advocacy & Communication A significant portion of your role involves explaining complex technical concepts to diverse audiences, from DevOps engineers to C-level executives. We look for candidates who can translate technical specifications into business value and handle difficult customer scenarios with empathy and poise.
Adaptability & Learning Agility The technology landscape at Akamai changes rapidly, especially with our push into cloud computing and AI workloads. We evaluate your ability to learn new tools (like Terraform, Kubernetes, or specific AI frameworks) and your willingness to tackle unfamiliar technical challenges.
4. Interview Process Overview
The interview process for the Solutions Architect role is rigorous but designed to be transparent and collaborative. It typically begins with a recruiter screen to align on your background and interest, followed by a conversation with a Hiring Manager. This manager screen focuses on your relevant experience, your understanding of the SA role, and your cultural alignment with Akamai’s values of innovation and tenacity.
If you advance, you will move to a technical screening round. This is often a deep dive into your technical background or a specific scenario-based discussion. Following a successful screen, you will enter the final "loop"—a series of back-to-back interviews. This stage usually includes a presentation or a whiteboard session where you design a solution for a hypothetical customer, as well as separate sessions covering behavioral questions, technical depth in networking/security, and cross-functional collaboration.
Throughout the process, expect a balance of high-level strategy and low-level debugging. Akamai values engineers who can "zoom out" to see the business architecture and "zoom in" to read a packet capture or debug a header. The atmosphere is generally professional and inquisitive; interviewers want to see how you think, not just if you know the "right" answer.
The timeline above illustrates a standard progression from application to offer. Note that the "Technical Screen" and "Onsite Loop" are the most intensive phases, where you should be prepared to demonstrate both your architectural skills and your interpersonal abilities. Use the time between stages to refine your "solution design" presentation skills, as this is often the deciding factor.
5. Deep Dive into Evaluation Areas
To succeed, you must demonstrate proficiency across several technical and functional domains. While you do not need to be an expert in every single area, a strong foundation in networking combined with specialization in security or cloud architecture is highly valued.
Internet & Networking Fundamentals
This is the bedrock of Akamai. You cannot architect effective edge solutions without understanding the underlying protocols of the web.
Be ready to go over:
- DNS & Routing: Recursive vs. iterative lookups, Anycast, BGP, and how traffic is directed across the internet.
- HTTP/S & TLS: Request/response headers, status codes, handshake processes, SSL termination, and certificate management.
- Content Delivery (CDN): Caching strategies (TTL, cache keys), origin offload, and purging mechanisms.
- Advanced concepts: HTTP/2 vs HTTP/3 (QUIC), TCP congestion control, and packet-level debugging.
Example questions or scenarios:
- "Walk me through exactly what happens from the moment you type a URL into a browser until the page renders."
- "How would you troubleshoot a scenario where users in a specific region are experiencing high latency?"
- "Explain the difference between a 301 and a 302 redirect and when you would use each."
Cloud Security & Zero Trust
Security is a massive part of Akamai’s business. You should understand the threat landscape and how to mitigate risks at the edge.
Be ready to go over:
- Web Application Security: SQL injection, XSS, RFI/LFI, and how a WAF (Web Application Firewall) protects against them.
- DDoS Mitigation: Volumetric vs. application-layer attacks and mitigation strategies (rate limiting, scrubbing centers).
- Zero Trust Architecture: Identity Aware Proxy (IAP), micro-segmentation, and shifting away from VPNs.
Example questions or scenarios:
- "A customer is under a massive DDoS attack. What steps do you take to identify the attack vector and mitigate it?"
- "How would you design a security architecture for a customer moving their on-premise application to a hybrid cloud environment?"
Cloud Computing & Modern Architecture
With Akamai’s expansion into Connected Cloud and AI Inference, knowledge of modern infrastructure is increasingly critical.
Be ready to go over:
- Containerization & Orchestration: Docker, Kubernetes, and managing distributed workloads.
- Infrastructure as Code (IaC): Using tools like Terraform or Ansible to manage configurations.
- Edge Computing: Serverless functions, edge workers, and distributed logic.
- AI/GPU Workloads: (For specialized roles) Understanding model training vs. inference, GPU clustering, and data gravity.
Example questions or scenarios:
- "Design a highly available architecture for a video streaming service using object storage and edge caching."
- "How would you architect a solution for an AI company that needs to run inference close to the user to minimize latency?"




