About the role
structured by ORIABOUT THE ROLE We are looking for a Junior Developer to help build technology for financial services, including trading, research and investment platforms. You will read, understand and contribute to backend services written in Python and JavaScript, work with relational and non-relational databases, and deploy on…
What you will do
- Build, maintain and debug REST APIs using Express, Fastify (Node.js) and FastAPI (Python).
- Read and understand existing Python and JavaScript code, and make safe, well-tested changes to it.
- Design database schemas and write queries and migrations using Drizzle and Prisma ORMs.
- Work with PostgreSQL, MySQL and MongoDB, choosing the right data model for the use case.
- Deploy, monitor and troubleshoot services on AWS in collaboration with the team.
What they are looking for
- Working knowledge of Python and JavaScript; able to read and follow unfamiliar code in either.
- Express, Fastify and FastAPI: routing, middleware/hooks, request validation, error handling.
- Drizzle and Prisma: schema definition, migrations, relations and query building.
- PostgreSQL and MySQL: joins, indexes, transactions and basic query optimisation.
- MongoDB: document modelling, CRUD operations, indexes and aggregation basics.
- Comfortable with core services such as EC2, Lambda, S3, RDS, IAM and CloudWatch.
- Comfortable using AI tools (e.g., Claude, ChatGPT, Copilot, Cursor) for coding, debugging and learning; able to judge and verify AI output.
- Git and pull-request workflows; testing APIs with Postman or similar tools.
Nice to have
- TypeScript, Docker, CI/CD pipelines (e.g., GitHub Actions), Redis, or exposure to message queues.
- Experience integrating LLM APIs into applications; basic knowledge of stock market concepts such as equities, derivatives and order types.
Full posting text
ABOUT THE ROLE
We are looking for a Junior Developer to help build technology for financial services, including trading, research and investment platforms. You will read, understand and contribute to backend services written in Python and JavaScript, work with relational and non-relational databases, and deploy on AWS alongside senior engineers. This role suits someone who is eager to learn, writes clean code, uses AI tools effectively, and has a genuine interest in finance and the markets.
KEY RESPONSIBILITIES
Build, maintain and debug REST APIs using Express, Fastify (Node.js) and FastAPI (Python).
Read and understand existing Python and JavaScript code, and make safe, well-tested changes to it.
Design database schemas and write queries and migrations using Drizzle and Prisma ORMs.
Work with PostgreSQL, MySQL and MongoDB, choosing the right data model for the use case.
Deploy, monitor and troubleshoot services on AWS in collaboration with the team.
Use AI coding assistants to work faster, while reviewing and testing every piece of generated code.
Participate in code reviews, write basic unit tests, and document the work you deliver
.
REQUIRED SKILLS
Languages
Working knowledge of Python and JavaScript; able to read and follow unfamiliar code in either.
Frameworks
Express, Fastify and FastAPI: routing, middleware/hooks, request validation, error handling.
ORMs
Drizzle and Prisma: schema definition, migrations, relations and query building.
SQL Databases
PostgreSQL and MySQL: joins, indexes, transactions and basic query optimisation.
NoSQL Databases
MongoDB: document modelling, CRUD operations, indexes and aggregation basics.
AWS
Comfortable with core services such as EC2, Lambda, S3, RDS, IAM and CloudWatch.
AI
Comfortable using AI tools (e.g., Claude, ChatGPT, Copilot, Cursor) for coding, debugging and learning; able to judge and verify AI output.
Tooling
Git and pull-request workflows; testing APIs with Postman or similar tools.
GOOD TO HAVE
TypeScript, Docker, CI/CD pipelines (e.g., GitHub Actions), Redis, or exposure to message queues.
Experience integrating LLM APIs into applications; basic knowledge of stock market concepts such as equities, derivatives and order types.
WHAT WE LOOK FOR
A genuine interest in finance, capital markets and investing, and curiosity about how trading and investment products work.
A degree in Computer Science/IT or equivalent practical experience (internships and personal projects count).
Strong problem-solving skills, curiosity, and clear communication when asking questions or raising blockers.
Seniority level: Associate
Employment type: Full-time
Industries: Financial Services