Join a multicultural engineering team at MetaWealth tackling challenging DeFi solutions with AI-assisted development and building scalable backend architectures for a leading fintech platform.
Looking for the fast paced, innovation fueled start-up life? MetaWealth is one of the most promising fintechs, present in Bucharest, London and Marbella, with a clear mission to become Europe’s top investment platform. We’re focused on exposing tokenized assets (eg: real estate) to investors and capital markets. We currently have 1500 Investors in 24 countries and over €50 million in assets under management.
Being a multi-cultural Engineering-driven organization, you will feel here best while tackling difficult DeFi challenges with heavy AI assistance for maximum efficiency.
We’re looking for a result-driven Senior Software Engineer with expertise in building scalable back-ends (microservices with GO or Node.JS, RESTful APIs, unit testing etc) that will act as a partner, own the outcome of his work, and share in the success.
Responsibilities
Understand and own the business domain and challenges we’re faced with
Create optimal domain driven architecture that will balance robustness and maintainability with the simplicity a start-up needs when accelerating
Build resilient microservices and APIs, fast.
Create or contribute to our automated deployment pipeline and observability setup
Develop, test and deploy secure and maintainable code, heavily assisted by AI
Monitor production backend systems to ensure stability and performance
Closely work with and inspire your peers (including front-end and blockchain engineers), product team and business team
Requirements
4+ years of building high-concurrency systems and APIs with GoLang (preferred) or NodeJS, using microservices and event-driven architecture.
Hands-on experience with AWS services such as Lambda, Congnito, Redis, SQS etc
Proficiency with relational and NoSQL databases (PostgreSQL, DynamoDB)
Experience writing unit tests, load tests and other automated tests
Great at debugging production issues by assumption/validation, data extraction and analysis
Previous experience with Docker, K8s, GitHub Actions, Terraform
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