Software Engineer developing C# and Azure Cloud solutions for knowmad mood, a leader in digital transformation. Involved in DevOps practices and API design.
About the role
- Backend Engineer responsible for building scalable backend systems using Python for AI-native finance platform. Collaborating with cross-functional teams on autonomous decision-making tools.
Responsibilities
- Architect and develop scalable backend systems using Python and modern cloud-native tools.
- Build APIs, orchestration layers, and data pipelines that support autonomous agents and real-time financial analytics.
- Translate complex financial logic into clear, maintainable, and performant code.
- Collaborate with cross-functional teams—including ML, data, and product—to integrate LLMs, financial logic, and user workflows.
- Own the performance, reliability, and maintainability of mission-critical systems.
- Drive best practices in architectural decisions, testing, devops practices, IaC and system observability.
Requirements
- 3–7 years of backend engineering experience
- Have built and scaled production-grade backend systems for data-intensive or real-time applications.
- Strong proficiency in Python and experience building distributed backend systems.
- Experience with containerization (Docker), orchestration (Kubernetes), and event-driven systems (e.g., Kafka).
- Deep understanding of relational databases (e.g., PostgreSQL) and caching systems (e.g., Redis).
- Strong grasp of performance tuning, code quality, automated testing, CI/CD practices, and building systems that are secure, observable, and production-ready.
- Enjoy working on complex logic and domain modeling in high-stakes environments like fintech, trading, or enterprise SaaS.
Job title
Job type
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Not specified
Degree requirement
Tech skills
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