Hello Reader, I have been a Cloud Solutions Architect for 10 years now - 4 years at Verizon, 6+ years at AWS. I was an Application Cloud Architect at Verizon, and then I joined AWS, where I have had two different SA roles - first a General SA (Enterprise Architect) and then a Specialist SA, which is my current role. In this post, I will review my responsibilities as an SA in all these companies, including the hardest parts of the job (in my humble opinion). Let's get started: Solutions Architect at Verizon I became a SA at Verizon at their CCOE (Cloud Center of Excellence). I switched from Mainframe to AWS SA at Verizon via internal interview process. Main responsibilities:
Hardest part of the job:
AWS General/Account SA After spending 3 years as a Cloud Architect at Verizon, I joined as a Sr. Enterprise Account SA at AWS in Feb 2019. Typically you will be assigned one large customer or multiple smaller customers as a General SA. You will NOT handle customers outside of your assigned list. I joined AWS in the telecom vertical, given my telecom experience, and I was assigned a large telecom customer. General SAs are also called Account SAs because they are assigned to customer accounts. Main responsibility - Help assigned customers on AWS projects. Obviously, you are thinking, what kind of help?
Other responsibilities
Hardest part of the job
AWS Specialist SA Unlike General SAs, Specialist SAs (SSAs) are NOT assigned to a single large customer but to a wide range of customers in a domain. For example, one SSA can be assigned to financial services in the US, another SSA can be assigned to automobile customers in the US etc. Another important distinction is that, unlike General SAs, SSAs focus on a particular tech domain (e.g. Containers, Serverless, ML, Analytics etc.) and go super deep into it. Remember what the hardest part of the General SA job was—keeping depth in a wide variety of areas. So, as a General SA, when you need help going deep on particular tech domains, you engage the Specialist SA assigned to the domain! For example, if a customer wants to talk deeper on Kubernetes running on Amazon EKS, and the General SA doesn't know it in depth, he/she will engage someone like me, a Containers/Serverless SSA. Main Responsibilities:
Other responsibilities:
Hardest part of the job
At the end of the day, I love being a Solutions Architect, help customers with their large and complex AWS projects, and also sharing the learnings with you all. Hopefully, this post gave you a realistic idea of SA roles and their activities. I wish you all the best on your SA journey 🙌🚀 If you have found this newsletter helpful, and want to support me 🙏: Checkout my bestselling courses on AWS, System Design, Kubernetes, DevOps, and more: Max discounted links AWS SA Bootcamp with Live Classes, Mock Interviews, Hands-On, Resume Improvement and more: https://www.sabootcamp.com/
Keep learning and keep rocking 🚀, Raj |
Free Cloud Interview Guide to crush your next interview. Plus, real-world answers for cloud interviews, and system design from a top Solutions Architect at AWS.
Hello Reader, In the previous newsletter edition, we took a look at top Gen AI tools, and how can you benefit from the trend. The matter of the fast is, even in general SA interviews, you have to expect Gen AI questions. This is similar to how you expect fundamental containerization and DevOps questions. Gen AI is becoming quite popular, and this is no exception. In today's edition, let's go over AWS Gen AI landsacape, that I am following: The image illustrates the AWS Generative AI (Gen AI)...
Hello Reader, Agentic AI is the new buzzword. Every YouTube video, LinkedIn article, and blog is about Agentic AI. In today's edition, we will go over what is Agentic AI, and why is it becoming so popular. To understand this, we have to see the evolution of LLMs, let's find out: In the beginning, there was a single LLM, and we were doing prompting. This was significant first step, but it had the following challenges: Static, pre-trained information Not able to integrate project-specific data...
Hello Reader, The landscape of generative AI (Gen AI) consumer applications is evolving rapidly, with new players emerging and established ones innovating at an unprecedented pace. In today's newsletter, we will take a look at the top Gen AI apps and, more importantly, how YOU can use this for your career growth and get more money. Generative AI Consumer Apps: The Top Performers ChatGPT's Resurgence: After an initial plateau, ChatGPT has surged to 400 million weekly active users, driven by...