Senior Full Stack Engineer - Risk Reporting & AI Engineering

Position Name: Senior Full Stack Engineer - Risk Reporting & AI Engineering
Location: Hyderabad
Experience: 5+ years

About BinQle
BinQle is a global delivery and execution partner supporting enterprises across the US, India, Singapore and Australia. We specialize in structured hiring, managed teams, and long-term delivery support.

Role Summary:
Develop, enhance, and maintain secure, stable, and scalable technology products for risk reporting. Leverage full stack, cloud, and AI tooling expertise to deliver high-quality solutions. Contribute to system design, AI adoption, and cross-functional collaboration in regulated environments.

What Youll Do:

• Build and enhance secure, stable, and scalable technology products for risk reporting
• Execute software solutions, including design, development, and technical troubleshooting
• Create secure, high-quality production code and maintain algorithms aligned to risk reporting systems
• Produce architecture and design artifacts for complex applications
• Identify hidden problems and patterns in data and use insights to improve code quality and system architecture
• Leverage enterprise-authorized AI coding assist tools for code quality, delivery speed, and productivity
• Apply knowledge of SDLC toolchain, including AI-assisted development and automation
• Contribute to engineering communities of practice and events
• Collaborate across teams and functions
• Foster a team culture of diversity, opportunity, inclusion, and respect

What We re Looking For (Must-Haves):

• Formal training/certification on software engineering concepts
• 5+ years applied experience in software engineering and ML/data platform product development
• Full-stack Java development with Angular and/or React
• Strong proficiency in C# for production services
• Experience with relational database technologies (SQL), including queries, views, and stored procedures
• System design, design patterns, application development, testing, and operational stability
• Cloud solutions experience with AWS and Pivotal Cloud Foundry (PCF)
• Data platform experience with Databricks
• Experience in large corporate environments
• Familiarity with SDLC and agile delivery, CI/CD, application resiliency, and security
• Hands-on with enterprise-authorized AI-assisted software development tools
• Responsible AI use in engineering workflows, secure handling of data, resiliency, and security
• Experience in Risk Reporting, BFSI, or highly regulated environments
• Agile mindset, strong communication, teamwork, ability to iterate quickly, creative problem-solving

Good to Have (Optional - only if mentioned):

• Familiarity with Tableau
• Prior experience in Risk Reporting domain

Qualifications:
Formal training and certification on software engineering concepts is a must

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.