We’re seeking a talented Software Engineer with experience in both back-end systems and data-focused development. This role combines building and scaling distributed services with applying Python and data libraries for analytics, pipelines, and data-driven workflows.
You’ll collaborate with a global team of engineers, working in a cloud-native environment to deliver secure, high-performance solutions that power real-world financial products.
Key Responsibilities
Design, develop, and maintain Go-based microservices running in AWS.Contribute to scalable APIs and backend architectures for high-performance applications.Work with Python and data libraries (e.g., Pandas, NumPy, PySpark, etc.) to process, clean, and validate large datasets.Collaborate with product, data, and engineering teams to design end-to-end workflows.Ensure code quality with unit/integration tests, reviews, and best practices.Optimize system performance, reliability, and scalability.Troubleshoot complex technical issues in production environments.Stay current with modern engineering and data tooling to drive innovation.
Requirements
5+ years of professional software engineering experience.Strong skills in Go (Golang) for back-end development.Hands-on experience with Python in data workflows (familiarity with libraries like Pandas, NumPy, or similar).Proficiency with relational and non-relational databases (PostgreSQL, MongoDB, Snowflake, etc.).Solid understanding of cloud infrastructure (AWS preferred).Familiarity with CI/CD pipelines, Git, and DevOps practices.Strong problem-solving skills and ability to work in a collaborative, agile team.Advanced English communication skills.
Nice to Have:
Experience with distributed systems and microservices patterns.Knowledge of data pipelines, ETL, or streaming.Exposure to fintech, payments, or high-transaction domains.Familiarity with containerization (Docker, Kubernetes).
Why Join Us?
Work on impactful projects in the fintech space.Collaborate with an experienced, international engineering team.Opportunity to apply both system architecture and data engineering skills in one role.100% remote with flexible collaboration.
