There’s a lot of talk about software developer salaries in Turkey, but from my observations, a clear picture isn’t being drawn. After two decades immersed in systems and software in the field, I’ve clearly seen that the market actually operates on two different axes. On one side, there are developers earning around 95,000 TL per month, and on the other, those earning 175,000 TL and above. These two markets are distinguished not just by numbers, but also by their working methods, technology choices, and expectations.
The reasons behind this disparity aren’t solely related to talent; they’re shaped more by the market structure, company vision, and unfortunately, the country’s economic realities. In my work, I’ve had the opportunity to experience both the dynamics of the local market and how value is created at global standards. In this post, I will examine these two distinct developer markets, drawing from my own experiences.
The Sharp Divide of Markets: Why Two Different Worlds?
The most fundamental difference between these two markets is directly related to the companies’ target audience and business models. The first market typically serves local, SME-sized firms; they operate with a cost-oriented approach, using existing and often older technologies. Here, the expectation from a developer is to be a “full-stack” profile capable of doing everything across a very wide range.
The second market, on the other hand, mostly consists of export-oriented companies that adopt a remote work model and cater to global clients. These companies focus on producing value-added and innovative solutions; consequently, they use the latest technologies and can pay their developers higher salaries. Here, “specialization” is much more valued. When building the team for my side product, I struggled to find a Rust developer in the local market and ultimately had to hire a freelancer from abroad because there was very little expertise and experience at that level locally.
Dynamics and Pitfalls of the “95,000 TL” Market
I have many developer friends working in this market segment, and I’m intimately familiar with the challenges they face. Typically, companies in this market tend to cut costs while trying to remain competitive in the local market. This increases the developer’s workload and creates an expectation of “knowing a bit of everything” across a broad range, rather than specializing.
Projects in this market are often run with older technologies. I witnessed the dire situation of a 3-person team trying to modernize an ERP application still running on ASP.NET WebForms and an old SQL Server version for a client project. The “senior” developer on this team was responsible for database backups, developing new modules with C#, and fixing frontend bugs with JavaScript. His salary was at the upper limit of this lower market segment, and this severely limited his career development. Due to insufficient budgets, there was no investment in observability tools, and test automation was almost non-existent. Waking up at 3:00 AM for a production issue was one of the harsh realities of this market.
// Excerpt from an old .NET Framework project
public class ProductService
{
public DataSet GetProducts(string category)
{
using (SqlConnection conn = new SqlConnection("..."))
{
conn.Open();
SqlCommand cmd = new SqlCommand($"SELECT * FROM Products WHERE Category = '{category}'", conn);
SqlDataAdapter da = new SqlDataAdapter(cmd);
DataSet ds = new DataSet();
da.Fill(ds);
return ds;
}
}
}Code blocks like the one above, querying the database directly with SQL strings, not using ORM, or simply leading to the N+1 problem, are common sights in this market. Performance problems are often brushed aside with superficial solutions like “let’s add more RAM to the server.”
The Doors to the “175,000 TL” and Above Market
This market offers an environment that is the complete opposite of the challenges I mentioned above. Here, companies typically sell products or services to global markets, thus having foreign currency-based revenues. This gives them the power to invest in higher talent and offer competitive salaries. In this market, what’s expected from a developer is not to “do everything,” but to specialize deeply in a particular area and create added value.
While working on our production ERP, we had a process of developing an AI-driven production planning module. For this module, we needed to add a prompt engineering expert to our team. This individual not only wrote code but also developed prompt strategies that would ensure the best performance and cost-effectiveness across different AI providers like Gemini Flash and Groq. The value he brought created a potential monthly saving of 200,000 USD through optimizing production processes. This level of expertise naturally deserved a salary well above the market average.
In this market, modern technology stacks (Go, Rust, TypeScript, advanced Python usage, Cloud Native architectures), advanced CI/CD practices (blue-green deployments, canary releases), and comprehensive observability (metrics, logs, traces) are indispensable. Errors can have a significant impact on the overall success of the system, so fault tolerance and resiliency are critical.
# Excerpt from a RAG (Retrieval-Augmented Generation) pattern
from langchain_core.runnables import RunnablePassthrough
from langchain_core.prompts import ChatPromptTemplate
from langchain_community.llms import OpenRouter
# Simplified RAG chain
def create_rag_chain(retriever):
prompt = ChatPromptTemplate.from_template("""
Context: {context}
Question: {question}
Answer:
""")
llm = OpenRouter(model_name="google/gemini-flash-1.5") # or groq/llama3-8b-8192
return (
{"context": retriever, "question": RunnablePassthrough()}
| prompt
| llm
)Developing a solution that can dynamically switch between different LLM providers, optimizing cost and performance, as seen in a piece of AI application architecture like the one above, is an example of high-value work. A developer specialized in this field not only writes code but also makes architectural decisions that directly impact business processes.
The Education and Experience Paradox: Common Ground or Differentiator?
In this chasm between markets, I observe that the concepts of “education” and “experience” are also interpreted differently. In the lower-paying market, “experience” is often equated with “number of years,” while in the higher-paying market, “experience” is measured by the complexity of problems solved, the depth of technologies used, and the real value created. A university degree can open both doors, but what truly makes a difference is how that knowledge is applied.
While developing an Android spam blocker for my side product, I looked for someone experienced in Flutter with native package integration. Many candidates claimed to be “senior Flutter developers,” but very few had actually dealt with native modules and could deeply debug in Android Studio for a bugfix. Ultimately, I offered someone with 3 years of experience but truly specialized in this area 80% more pay than someone with 7 years of experience but only UI/UX knowledge. The critical factor here was the candidate’s real experience with Play Store publishing processes, the intricacies of native bridging, and performance profiling.
Market Entry and Career Journey Strategies
Transitioning from the lower-paying market to the higher-paying one is certainly possible, but it requires conscious effort and strategy. First, I decided which area I wanted to specialize in and focused on current technologies in that field. For me, this became system architecture, network security, and more recently, AI application architecture. Deepening my knowledge in PostgreSQL tuning, understanding Redis’s OOM eviction policies, or optimizing Nginx reverse proxy settings differentiated me in this area.
A friend of mine, bored with an old .NET project, started learning Rust. He wrote a small server application on his own VPS, then contributed to several open-source projects on GitHub. Six months later, in his first job interview, thanks to his Rust experience, he received an offer 2.5 times his usual salary. This is just one example; the important thing is to build a tangible portfolio using your own projects or open-source contributions. Knowing English and networking on international platforms also plays a key role in this transition.
- Specialization: Gaining in-depth knowledge and experience in a specific area (e.g., distributed systems, cybersecurity, AI/ML engineering).
- Keeping Up with Current Technology: Learning and applying the newest and most in-demand technologies in the industry (Kubernetes, Go, Rust, modern JavaScript frameworks, Cloud Native stacks).
- Portfolio Building: Creating tangible products through personal projects, open-source contributions, or freelance work.
- English Proficiency: Improving English communication to access opportunities in the global market.
- Networking: Building international connections on platforms like LinkedIn or at industry events.
Future Outlook and My Perspective
I believe the gap between these two markets will deepen further in the near future. Especially with the rise of AI technologies, the difference between developers who “create value” and those who “automate routine tasks” will become even more pronounced in the software world. As AI takes over many repetitive tasks, abilities like complex problem-solving, architectural design, and adapting new technologies will become more important than basic coding skills.
On the AI application architecture side, as I worked on prompt engineering and RAG patterns, I saw how the value of those with these new skills, in addition to classic backend developer abilities, multiplied. When setting up a fallback mechanism to switch between Gemini Flash and Groq in one of our projects, the consulting fee we paid to an expert in this field was 3 times the hourly rate of a traditional software consultant. This was because this person not only wrote code but also optimized performance and cost, directly impacting the commercial value of these systems. Such roles will form the foundation of the high-paying market in the future.
The software developer market in Turkey is not monolithic. On the contrary, it consists of two distinct segments with different expectations, technology stacks, and salary scales. This situation shows that we need to make conscious choices as we shape our career journey as a developer. Which market we want to be in, which skills we invest in, and what kind of value we create are entirely in our hands. My clear position is based on being aware of this distinction, continuously learning, and investing in myself to remain in the market where value is created.