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zehnmind.ai
9 days ago
Grade
Intern
English level
B2, upper-intermediate
An email or a Telegram message to the recruiter
If you've finished the courses and built a few projects, but haven't yet worked on a real codebase with real users — this is the internship that gets you there. You'll have a mentor curating you from day one.
You'd start with small tickets from our backlog, with someone checking your work before it ships. From there it grows: helping build and support our REST APIs, adding small features to existing services, fixing bugs and writing unit tests for what you build.
There's plenty of database work too — writing SQL queries and making simple changes to our PostgreSQL schemas. You'll use Docker for local development and help keep our CI/CD pipelines running.
Along the way you'll see how our services actually talk to each other through Kafka or RabbitMQ, and write your first producer or consumer. You'll connect to our internal AI services and measure how fast they respond. And you'll sit in on code reviews, keep our technical docs current and work alongside product, data and DevOps to watch a feature go from ticket to live.
Basic Python — functions, OOP, data structures, error handling — or Java, C# or C++. Course projects count. We care that you can write code and explain it, not where you learned it.
Beyond that: solid fundamentals in data structures, algorithms and OOP, and you can explain at least one SOLID principle. You understand how REST APIs work — HTTP methods, status codes, JSON. Basic SQL: joins, simple indexes, what a transaction is (PostgreSQL is a plus). Git as part of your daily routine — branches, commits, pull requests. And a basic idea of testing and unit tests.
The rest is attitude. You want to learn, you take feedback well, you look for the answer yourself before asking and you finish what you start.
Some experience with FastAPI, Docker or CI/CD. An idea of what a message queue is, or a first attempt at Kafka or RabbitMQ. You can explain the difference between a monolith and microservices, and why caching and load balancing exist. A few design patterns — Factory, Strategy, Observer — and curiosity about DDD. Or a project where you used an AI model API or ran a model locally.
If you've finished the courses and built a few projects, but haven't yet worked on a real codebase with real users — this is the internship that gets you there. You'll have a mentor curating you from day one.
You'd start with small tickets from our backlog, with someone checking your work before it ships. From there it grows: helping build and support our REST APIs, adding small features to existing services, fixing bugs and writing unit tests for what you build.
There's plenty of database work too — writing SQL queries and making simple changes to our PostgreSQL schemas. You'll use Docker for local development and help keep our CI/CD pipelines running.
Along the way you'll see how our services actually talk to each other through Kafka or RabbitMQ, and write your first producer or consumer. You'll connect to our internal AI services and measure how fast they respond. And you'll sit in on code reviews, keep our technical docs current and work alongside product, data and DevOps to watch a feature go from ticket to live.
Basic Python — functions, OOP, data structures, error handling — or Java, C# or C++. Course projects count. We care that you can write code and explain it, not where you learned it.
Beyond that: solid fundamentals in data structures, algorithms and OOP, and you can explain at least one SOLID principle. You understand how REST APIs work — HTTP methods, status codes, JSON. Basic SQL: joins, simple indexes, what a transaction is (PostgreSQL is a plus). Git as part of your daily routine — branches, commits, pull requests. And a basic idea of testing and unit tests.
The rest is attitude. You want to learn, you take feedback well, you look for the answer yourself before asking and you finish what you start.
Some experience with FastAPI, Docker or CI/CD. An idea of what a message queue is, or a first attempt at Kafka or RabbitMQ. You can explain the difference between a monolith and microservices, and why caching and load balancing exist. A few design patterns — Factory, Strategy, Observer — and curiosity about DDD. Or a project where you used an AI model API or ran a model locally.
Send your CV and a GitHub or portfolio link to . Tell us about something you built and what broke along the way — that's more useful to us than a list of technologies.
Know someone who's ready for their first real backend experience? Send it to them
We compare skills, grade, work format and salary
Most often 10,500 to 19,300
