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| Job Location | Hyderabad |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Banking / Financial Services |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
The Risk Quantitative Development (RQD) model implementation team develops and manages features and enhancements to services that execute ML pipelines for fraud detection and risk assessment. Our activities include perform hands-on coding of production-ready code using Java , other programming languages or tools, assist modelling teams in their coding, and create tools which validate data and which streamline the implementation process.The candidate will be part of the development team that drives target state architecture design and implementation of the highly scalable, fault-tolerant and low latency services.Responsibilities: Architect and implement resilient, highly scalable, fault-tolerant services Ability to develop and deploy services that can integrate with other Enterprise systems Analyze business requirements in order to design the system architecture that suits specified functional, performance, scalability, security, governance and auditability requirements. Manage multiple deliverables to different business groups and ability to build stronger customer relationships. Lead and mentor the development team in a high-pressured delivery environment Collaborate with the appropriate individuals (LOB users, Subject Matter Experts, Architects, DBAs, etc.) to design and implement the appropriate solution Working with System administrators, users, and other development team to manage enhancements and issuesQualifications Minimum of 5+ year s recent hand-on software development work experience in large-scale distributed technology projects in Java/J2EE environment. Minimum of 3+ years of experience in development in Linux environment. Experience with Service Oriented Architecture (SOA) and Expert in REST APIs. 5+ years of experience with Core Java 5+, Spring framework (Boot , Integration, DI,Security, WS etc) Experience working on Microservices & Kubernetes. Expereince dealing with backend infra using load balancing , autoscaling etc Experience with NoSQL databases like Cassandra preferred Experience with any log analytic tools like ELK, Splunk etc Strong communication skills, both written and oral Konwledge of deploying to Kubernetes is a plus Excellent organizational and planning skills,
Keyskills :
javasqljavascriptsql serverjquerysubject matter expertsstrong communication skillscore javalow latencyload balancingfraud detectionstatements of work sow