We invite a Senior Software Engineer I to join our team and help develop new components within a large-scale fintech data platform in the private markets domain. In this role, you'll contribute to the development of blockchain-integrated platform components while working across a complex, distributed system alongside experienced engineers.
🟩 What's in it for you:
Work on a new component within an established fintech platform with 20+ internal services and 15+ external integrations
Build production software integrating modern AI technologies and blockchain systems
Own end-to-end development of complex backend features while collaborating with senior engineers and architects
Gain exposure to large-scale distributed systems, event-driven architectures, and cutting-edge AI tooling
✅ Is that you?
5+ years of backend software development experience, with Python as the primary language
Strong software engineering background in Node.js with TypeScript, with the ability and motivation to work deeply in Python services
Experience building production AI/LLM applications, including agent-based workflows and orchestration patterns
Good understanding of AI frameworks and practical trade-offs (experience with LangGraph is a plus)
Experience developing and maintaining microservices with multiple internal and external integrations
Strong experience with Kubernetes, Docker, and containerized deployments
Experience with Infrastructure as Code (Terraform or equivalent)
Experience with event-driven architectures
Strong experience with PostgreSQL and practical knowledge of Redis, MongoDB, and Weaviate
Solid understanding of software architecture and distributed systems
Strong commitment to clean, maintainable code, automated testing, and engineering best practices
Experience producing technical documentation (C4, UML, or similar)
Experience owning features from design through production, collaborating with cross-functional teams
Hands-on experience with AI-assisted development tools (such as Cursor and Claude Code)
Strong communication, collaboration, analytical thinking, and problem-solving skills
Comfortable working in fast-paced environments with evolving requirements
⭐ Nice to have:
Experience with LangChain, MCP tooling, and agent-based integration architectures
Familiarity with Retrieval-Augmented Generation (RAG) and vector databases
Experience building AI agents for automation, validation, or data enrichment
Experience with AWS and/or Azure
Exposure to cloud-agnostic or private cloud architectures
Background in fintech, data platforms, or private markets
Basic understanding of blockchain concepts (L1/L2) and integration through APIs or abstraction layers
