Software Engineer - II (NodeJS, Python, Go) - Bengaluru
Role Overview
Build and scale AiPrise’s AI-powered global compliance platform.
Work across backend APIs, microservices, data pipelines, integrations, and customer-facing tools.
Key Skills for This Role
Full Job Posting
Role Overview
Build and scale AiPrise’s AI-powered global compliance platform.
Work across backend APIs, microservices, data pipelines, integrations, and customer-facing tools.
Company
AiPrise helps fintechs, marketplaces, and payment companies with KYC, KYB, AML, fraud prevention, and risk management.
ClanX is the recruitment partner supporting AiPrise’s hiring for this role.
Requirements
- At least 3 years of professional software engineering experience.
- Strong programming fundamentals in Python, Go, Java, Node.js, or a similar backend language.
- Experience building REST APIs, microservices, or distributed systems.
- Strong understanding of relational databases such as PostgreSQL or MySQL.
- Familiarity with Git, CI/CD, Docker, and modern deployment practices.
- Strong debugging and problem-solving skills.
- Good communication and ability to translate business requirements into technical solutions.
Preferred Experience
- Experience with fintech, payments, fraud, compliance, AI/ML, event-driven systems, React/TypeScript, NoSQL, or infrastructure as code is a plus.
Responsibilities
- Design, develop, and ship production features across backend APIs, data pipelines, integrations, and case management tools.
- Own features end to end from requirements and implementation through deployment and monitoring.
- Build scalable REST APIs and microservices integrating with compliance vendors.
- Develop KYB and AML case management workflows and business logic.
- Build data pipelines for ingesting, transforming, and routing compliance data.
- Integrate third-party identity and compliance APIs.
- Write clean, maintainable, tested, and documented code.
- Participate in code reviews and engineering best practices.
- Debug production issues and improve system reliability, performance, and cost efficiency.
- Build monitoring, alerting, and observability into production features.
- Collaborate with product, compliance, and customer success teams.
Interview Process
- The process includes an exploratory discussion, DSA and problem-solving coding assessment, system design interview, product interview, technical and cultural fit discussion, and compensation discussion.
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