Requirements
- Golang Expertise: Minimum 2 years of hands-on experience in Golang development.
- Database Management: Strong proficiency with SQL databases such as Postgres and MySQL.
- Cloud: Familiarity with AWS cloud services.
- Containerization: Knowledge of Kubernetes and Docker (preferred).
- Architecture and Scalability: Ability to contribute to system architecture, design scalable backend services, and ensure high reliability.
- API Development: Experience building REST APIs and working with frameworks like Go Gin and gRPC.
- CI/CD: Understanding of CI/CD pipelines and deployment processes.
- Monitoring and Logging: Proficiency with centralized logging tools, Grafana, dashboards, and observability.
- Concurrency: Strong understanding and implementation of concurrency patterns in Golang.
- Domain Experience: Fintech domain experience is a significant advantage.
- Education: Bachelor's degree in Computer Science, Engineering, or related field.
- Quality Focus: Knowledge of software development best practices and a commitment to producing high-quality code.
- Team Skills: Excellent problem-solving skills and the ability to work collaboratively in a team.
- Portfolio: Proven experience with a strong portfolio or demonstrable projects.
AI / ML (Good To Have)
- Experience integrating LLM APIs (OpenAI, Anthropic, Gemini) into backend workflows.
- Understanding of embeddings, RAG (Retrieval-Augmented Generation), or semantic search.
- Familiarity with vector databases (Pinecone, Weaviate, OpenSearch KNN).
- Ability to build AI-assisted features such as search, summarization, automation, or recommendation systems.
- Exposure to fraud detection, risk scoring, or AI-driven insights (plus for fintech use cases).
- Basic understanding of Python for AI pipelines (preferred, not mandatory).
- Knowledge of MLOps basics, such as model deployment and monitoring (nice-to-have).
This job was posted by Mamta Naagar from Rupeezy.
