Introduction
The goal for this year for me is to refine my skills in Full-Stack and learning AI Engineering on top of it. I was curious to see what the market is looking for in 2026. So, I went on a job hunt and reviewed a lot of job posting that are related to Full-Stack roles such as:
- Full-Stack Engineer/Developer
- Software Engineer
- Web Developer
(Note that some roles include extra titles such as "Full-Stack Engineer (AI implementation) for example". These are the list that I found to be more common throughout all posting related to this expertise)
What I have Found
After reviewing a lot of job postings related to Full-Stack, here are my findings. Note that all job postings are unique, but these are what I found to be the most common. Note that Internships are excluded in these findings.
Education ๐ซ
- Bachelors in Computer Science, Software Engineering, or related field.
- Masters Degree (Preferred).
Having a bachelors is a minimum it seems. Boot camp do come up but it is rare. Having a Master's is a nice to have.
Professional Experiences
- General experience in this field required 3-6+ years of experience of shipping products to start off (This is based on Entry role to Senior roles).
- There are some cases where they required to have certain experiences. For example, "A candidate needs to have 2+ years in React".
Generally, 3-6+ years is what you need experience wise. Sometimes they specify which stack you need to have experience on, but rare.
Hard Skills ๐ป
- HTML, CSS, JavaScript/TypeScript.
- "MEAN", "MERN", and "MEVN" stack tends to show. Keep in mind they do not use those acronyms in their job description. Most cases, they list them out verbatim. For example, I found this as part of the job posting where it states "Full-stack engineering skills: Deep expertise in our tech stack (Node.js, TypeScript, React, PostgreSQL), with the ability to build reliable integrations and debug complex systems".
- Basic use of Git and GitHub.
- Cloud services like AWS.
- Understanding CI/CD pipelines.
- Integrating API's (Back-end related stuff like FastAPI, Flask, Django).
Other Skills ๐ฌ
- Communication skills (of course). More specifically, communicating with team members in a fast-pace environment and proving that you know technical knowledge you are an expert at.
- Need to know the Software Engineering best practices and its life cycle (Agile methodologies).
- Data visualization pops up often.
- AI/ML concepts and/or proof of building with these concepts (Building LLM-based Agents for example).
- Attention to detail.
- Organizational skills.
What do you need to pursue this role?
There is a lot of takes to it, but here is the things you should be doing, especially if you are a new developer:
- Choose a stack and technology and stick to it. Don't fall into a trap of knowing everything as if you are collecting Infinity Stones. Sure, it may look impressive on paper, but it will hurt you in the job hunt. Recruiters look for candidates who are experts on what they do and being able to work on the tasks they are conformable with. Besides, if you know everything, you are going to have a hard time in the interview when they quiz you on concepts you barely used.
- Practice by building projects. Keep in mind that you do not need to put every single project on your resume. Create small projects for fun and eventually start making a project you will be confident on putting in your resume that is impressive. For example, if I want to learn Angular, I can start small like building a calculator app in Angular. Once I get familiar with the concepts of Angular, then I start building more advance projects and put it on my resume.
- Networking. Yes, like what you are doing right now...reading this dev.to post. Engage with the community and you get connections. Plus, maybe those connections may have job opportunities for you because of proof on your dev.to profile that you love what you do.
- Build a portfolio. It gets to show off your skills in Web Development as well as properly showing off your projects and linking to the demo and your GitHub Repository.
- Practice Technical and Behavior Interviewing. Pretty straight forward. However, for technical interviewing, you can practice coding concepts on LeetCode and doing the Blind 75. By doing this, it should get you covered on Data Structures and Algorithms.
- Be Resourceful. Remember, you can learn anything you want. You do not need permission from others to learn what you want to learn. If you are taking an AI class, learn concepts before the first day of class begins.
- Consistency is Key. Yes, it takes time to land a role as you may heard from other people's experiences. But, you must keep going and never give up. Remember, one offer is all you need.
- Volunteer to be a developer. There is a saying "need experience to get experience". One of the ways is volunteering. Yes, I know most people do not like working for free, but it is one of the ways to get experience. You can do freelancing, contributing to open-source, etc.
This is what I believe should get one started on this path.
What do you think of this finding? Is there anything you would like to add or thoughts about this post? I would love to year from you!
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