Job Description
What You’ll Be Doing
- Design and build scalable backend services using Python and cloud-native technologies
- Develop APIs, orchestration layers, and data pipelines that enable real-time analytics and agent-based workflows
- Convert complex financial requirements into clean, efficient, and maintainable code
- Work closely with product, data, and ML teams to integrate LLMs and intelligent systems into user-facing workflows
- Take ownership of system performance, reliability, and long-term maintainability
- Contribute to architecture decisions and implement best practices across testing, DevOps, infrastructure-as-code, and observability
What They’re Looking For
- 3–7 years of experience in backend engineering
- Proven track record of building and scaling production systems, particularly in data-heavy or real-time environments
- Strong Python skills and experience working with distributed systems
- A mindset geared toward building intelligent, autonomous systems rather than simple CRUD applications
- Experience designing and working with well-structured APIs (REST, GraphQL, or RPC)
- Familiarity with containerisation (Docker), orchestration (Kubernetes), and event-driven architectures (e.g. Kafka)
- Solid understanding of relational databases (e.g. PostgreSQL) and caching layers (e.g. Redis)
- Experience with performance optimisation, testing, CI/CD, and building secure, observable production systems
- Interest in complex problem-solving within domains such as fintech, trading, or enterprise SaaS
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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