They Cut the First Step of the Ladder: The Junior Developer Crisis

As someone with over 20 years in the industry, I've recently been hearing frequent cries from junior developers about the difficulty of finding jobs. This situation has moved beyond being just an individual problem; I believe it's a serious alarm bell for the overall health of the software ecosystem. On one hand, there's a shortage of senior developers, while on the other, hundreds of thousands of young talents graduating find doors closed to them. If we examine this ironic situation closely, we actually see that "the first step of the ladder has been cut."

This crisis doesn't have a single cause, but generally, it's a chain reaction. In my experience, there are several main factors underlying this crisis. Short-term goals taking precedence over long-term sustainability, the weakening of mentorship culture, and the constantly changing expectations of the technology world are the primary triggers for this situation.

Why Has the Bottom of the Experience Pyramid Emptied?

When I first started my career, back in the 2000s, being a "junior" wasn't about being crushed under a pile of expectations like it is today. Back then, when you joined a company, they'd tell you to "learn." You'd usually be assigned to a small project or a simple module of an existing system, make mistakes, and learn the hard way from seniors. If I remember correctly, I'd spend weeks just writing CRUD (Create, Read, Update, Delete) operations for a while.

Today, the situation is different. It's as if everyone expects new graduates to be "full-stack architects." I see a job posting that says "seeking junior developer," and below it, they ask for a minimum of 5 years of experience, 3 different frontend frameworks, 2 different backend languages, Cloud experience, CI/CD knowledge, and even AI integration. Reading this list makes even me feel like a junior. If they had expected this much from me back then, I'd probably still be playing okey at a coffee shop.

ℹ️ Expectation Gap

In the early 2000s, "junior" meant basic programming knowledge and a willingness to learn. Today, this definition can mean at least 2-3 years of experience and mastery of a broad technology stack. This expectation gap effectively makes the first step of the ladder invisible.

While working on an enterprise ERP, we brought a new graduate onto the team. The kid knew basic Python syntax, that was it. But he was very enthusiastic. Instead of giving him a complex production planning module directly, his first task was to maintain small reporting screens in the existing system and add new columns. This way, he got to know the codebase and learned SQL queries through practice. Within two months, he was able to manage the simplest systemd units in the system and read journald logs. Unfortunately, this kind of "patient nurturing" approach is rare today.

Cost, Risk, and "Fast Delivery" Pressure

One of the biggest reasons companies shy away from hiring juniors is, of course, the perception of cost and risk. Hiring a junior isn't just about paying a salary; it also means dedicating time to them, training them, and correcting their mistakes. This takes time away from senior staff. Especially in environments with intense "fast delivery" pressure, no one wants to take on this "luxury." With projects already constantly facing deadline issues, managing the adaptation process of a new person is seen as an extra burden by most managers.

For a client's project, we needed to write a new microservice. We didn't have enough seniors on the team, but the budget was limited. The idea of hiring a few juniors came up. The finance department presented a calculation like, "The cost of a junior for the first 6 months is equivalent to the cost of a senior for 3 months, and their efficiency is much lower." Although we, as the technical team, argued that "it would be better in the long run," the board of directors rejected it, saying, "We need to get this feature live this quarter, we can't risk it." As a result, the existing senior team tried to finish the project by working more overtime, but this also increased the risk of burnout.

-- A simple reporting query a junior could write, but requires a learning process
SELECT
    product_name,
    SUM(quantity) AS total_sold,
    AVG(price) AS average_price
FROM
    orders o
JOIN
    order_items oi ON o.order_id = oi.order_id
JOIN
    products p ON oi.product_id = p.product_id
WHERE
    o.order_date BETWEEN '2026-01-01' AND '2026-01-31'
GROUP BY
    product_name
ORDER BY
    total_sold DESC;

While such queries may seem simple at first glance, grasping the logic of JOINs, GROUP BY, and AGGREGATE functions, and reading EXPLAIN ANALYZE outputs represents a significant learning curve for a junior. If this learning time isn't provided, even simple mistakes can lead to major performance issues. For example, using an INNER JOIN instead of a LEFT JOIN by mistake could cause critical data to be missing from the report.

The Explosion in the Technology Stack and Fundamental Deficiencies

Today's technology stack is so vast and rapidly changing that it's impossible for a junior to master everything. Every day, a new framework, a new library emerges. While a student learns Java in school, everyone outside is talking about Go, Rust, or TypeScript. This situation creates a serious "feeling of inadequacy" in juniors, and they don't know what to focus on. Even I sometimes say, "Is this out now too?" However, the real problem is that in this chaos, fundamental computer science and engineering principles are being overlooked.

Most juniors know how to use a framework by rote but don't know the details of the underlying HTTP protocol, the TCP/IP handshake, or why a database index works fast. When they encounter an N+1 problem in a production environment, they blame the ORM and move on, but they can't analyze whether the real problem is in the eager loading strategy or if PostgreSQL's query planner chose a wrong execution plan. Once, I encountered such a situation in the backend of my own side product. An API call jumped from 150ms to 2.5 seconds. A junior would probably look for a sleep(2) somewhere in the code. However, the problem was in a wrong JOIN optimization and instantaneous fluctuations in the connection pool (I was using pgbouncer).

⚠️ Don't Skip the Fundamentals

While new technologies are appealing, a solid foundation in core subjects like Data Structures and Algorithms, Operating Systems, Networking Fundamentals, and Database Theory is critically important. Without these fundamentals, every new framework is nothing more than a memorized pile.

Last year in an interview, I asked a candidate how to write a simple systemd unit. They knew ExecStart and Restart directives but couldn't explain the difference between Type=forking and Type=simple, what cgroup limits do, or why RateLimitBurst is important in journald. To me, these were fundamental things that anyone developing an application running on a Linux system should know. If a Redis instance crashes due to an OOM eviction policy, a developer who doesn't know what to look for in journald logs will spend a very long time trying to solve the problem.

The Disappearance of Mentorship Culture

Perhaps the most painful situation is the erosion of mentorship culture in the industry. In the past, senior developers considered it their duty to dedicate time to juniors and transfer knowledge to them. This was a kind of "master-apprentice" relationship. I learned this way for years. Now, however, senior developers are overwhelmed by their own workload and constantly increasing responsibilities. Mentoring someone is a task that requires significant time and patience, and often there isn't enough "space" to allocate that time.

While working on an internal platform for a bank, we had 3 new juniors on our team. All were enthusiastic, but their knowledge level was very low. At that time, I was dealing with a PoC (Proof of Concept) on BGP routing decisions and also trying to solve a PostgreSQL replication issue. I was under so much pressure that I couldn't dedicate regular time to them. I had to just tell them to "go research this." This situation both bothered me and slowed down their development. Eventually, two of them resigned due to insufficient support. This was a lesson for me.

# A simple mentorship scenario: code review and feedback
def calculate_total_price(items: list[dict]) -> float:
    """
    Calculates the total price of products, including VAT and discounts.
    This might be the first version written by a junior developer.
    """
    total = 0.0
    for item in items:
        price = item.get("price", 0.0)
        quantity = item.get("quantity", 0)
        discount_rate = item.get("discount_rate", 0.0)
        tax_rate = item.get("tax_rate", 0.18) # Assuming VAT is 18%

        subtotal = price * quantity
        discount_amount = subtotal * discount_rate
        tax_amount = (subtotal - discount_amount) * tax_rate
        total += (subtotal - discount_amount) + tax_amount
    return total

# Mentor's feedback:
# - Default values for key errors in the item dictionary are good, but logging errors might be better.
# - Are VAT and discount rates fixed or product-specific? These details should be clarified in the business logic.
# - The function name is too general, could it be more specific? (e.g., calculate_order_final_price)
# - What happens for large lists in terms of performance? (list comprehension or generator usage could be suggested)
# - How to write unit tests?

Even a simple piece of code like this can be a great starting point for teaching a junior about thinking about edge cases, performance optimizations, and writing tests during a code review. But giving this feedback requires the senior to dedicate time and be patient. Unfortunately, often it's just "this code is bad, rewrite it from scratch," which discourages the junior's enthusiasm for learning.

Self-Learning and Side Products: A Solution, or a New Expectation?

So, what should juniors do in this situation? There's a method I've seen and personally applied for years: self-learning and developing side products. If the industry won't open its doors to you, you'll open your own. Throughout different periods of my career, I always tinkered with things in my free time. Sometimes an Android spam blocker, sometimes financial calculators for my own site, sometimes a task management application... These weren't just hobbies; they were also learning laboratories for me.

Through these side products, I learned how to integrate native packages with Flutter, experienced the Play Store publishing process from start to finish, and tested partitioning strategies in PostgreSQL. Once, while managing containers with Docker Compose in the backend of my own side product, I filled the disk to 100% within a few hours due to a wrong volume setting. When I found and solved this error using journald logs and the df -h command, I simulated a problem I could encounter in a real production environment. These kinds of experiences give you experience that no school or course can provide.

💡 Build Your Own Project

One of the most effective ways to close the experience gap in the industry is to develop your own side projects. Make mistakes in these projects, solve problems, and experiment with different technologies. This way, you not only develop your technical skills but also your problem-solving and autonomous working abilities. These experiences provide you with concrete examples to present in job interviews.

However, there's another side to this: the expectation that "everyone should build their own project" actually adds a new "entry barrier" to the industry. Is it fair to expect a young person who has already gone to university and incurred debt, and needs to find a job and earn money as soon as possible, to spend hundreds of hours outside of work developing projects? This is more of an additional burden on an already struggling group than a solution. Especially in areas like AI application architecture, learning prompt engineering, RAG patterns, or agent patterns requires serious research and experimentation. I have an AI-powered side product where I've set up fallback mechanisms with different providers like Gemini Flash, Groq, and Cerebras; I did a lot of trial and error to get to this level.

The Future of the Industry and My Recommendations

I believe this crisis affects not only juniors but the entire industry. If you cut the first step of the ladder, eventually there will be no one left to climb the upper steps. I have a few observations and recommendations regarding this situation:

1. To Companies: Don't think short-term. Investing in a junior will gain you a loyal and skilled employee in the long run. Create mentorship programs, and provide seniors with time and resources to mentor. Give juniors basic training on observability (metrics, logs, traces) so they know what to do when a PostgreSQL WAL bloat alarm goes off. Learning how a fail2ban pattern works increases security awareness.
2. To Senior Developers: Even if your time is limited, take small steps to guide young people. Even if it's just 1-2 hours a week, focus on a junior's code review or explain a topic in detail. Once, I explained PostgreSQL index strategies (B-tree, GIN, BRIN) with examples to a junior, and his eyes lit up. This motivated not only him but also me. I showed them how I debug operational issues like a Docker disk fire.
3. To Junior Developers: Don't give up. The industry is tough, but not impossible. Acquire fundamental computer science knowledge. Read an RFC document, research how a Linux kernel module blacklist works. Build your own projects, produce something, no matter how small, and showcase it on GitHub. In interviews, being able to say, "I don't know this, but I solved problem X in my own project using method Y" is worth more than thousands of certifications. Experience network issues like MTU/MSS mismatch on your own VPS.

My clear position is this: sustainability in the software industry is not just about code quality or business continuity, but also about the sustainability of human resources. If we don't invest in the next generation of talent, this technology debt will one day come knocking on all our doors. We must repair the first step of the ladder, and even strengthen it. Otherwise, eventually, we will have no ladder left to climb.