
201 - 500 employees
Founded 2004
âïž SaaS
đł Fintech
đ€ Artificial Intelligence
SaaS âą Fintech âą Artificial Intelligence
Provenir is the Decision Intelligence Platform for financial services providers. It offers a low-code, cloud-native SaaS platform that consolidates data, AI models, analytics and decisioning agents into a single governed environment to support credit risk, fraud & identity, compliance, onboarding, customer management and collections. The platform provides real-time, AI-powered decisioning, a data marketplace for identity/fraud/credit data, case management, and tools for deploying, validating and optimizing models and policies across global markets. Provenir is used by banks, credit unions, fintechs, payments and telco customers and processes billions of decisions annually.
đ„ 0 minutes ago
đŹđ§ United Kingdom â Remote
â° Full Time
đ Senior
đ§âđ» Full-stack Engineer
đ» Ghost score 10%
AWS
Cloud
Docker
ElasticSearch
Google Cloud Platform
Java
JavaScript
Kubernetes
Next.js
Python
React
SDLC
Spring
Spring Boot
SpringBoot
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201 - 500 employees
Founded 2004
âïž SaaS
đł Fintech
đ€ Artificial Intelligence
SaaS âą Fintech âą Artificial Intelligence
Provenir is the Decision Intelligence Platform for financial services providers. It offers a low-code, cloud-native SaaS platform that consolidates data, AI models, analytics and decisioning agents into a single governed environment to support credit risk, fraud & identity, compliance, onboarding, customer management and collections. The platform provides real-time, AI-powered decisioning, a data marketplace for identity/fraud/credit data, case management, and tools for deploying, validating and optimizing models and policies across global markets. Provenir is used by banks, credit unions, fintechs, payments and telco customers and processes billions of decisions annually.
âą Design, develop, and maintain efficient, reusable, and reliable software âą Engineer backend APIs, Graph, and AI-driven products, including agentic and generative AI capabilities âą Take ownership of assigned tasks and provide technical leadership âą Provide strategic direction for software development projects and teams âą Partner with cloud architects and leads to design backend service and API requirements âą Contribute to the product roadmap and design and test proof-of-concept products âą Create functional and technical specification documents and communicate with stakeholders âą Participate in code reviews and brainstorming sessions âą Mentor junior developers and promote software development best practices âą Research and propose enhancements to improve processes and systems âą Participate in hiring and help build a high-performing regional team âą Design, build, and operationalise large-scale data solutions using REST APIs, Graph, AI, and ML applications
âą At least 10 years of experience in hands-on Software Development âą In-depth experience in Java software development âą Experience with Spring Boot and the Spring ecosystem including Spring AI âą Hands-on experience developing cloud-native applications using AWS S3, SQS, Kinesis, Graph DB, OpenSearch/Elasticsearch, or equivalent GCP services âą Experience leading software development features from inception to deployment and mentoring junior developers âą Experience designing, developing, and deploying RESTful APIs and services âą Experience in stream data processing and low-latency application coding âą Experience with GenAI, agentic AI, and machine learning frameworks âą Experience writing comprehensive unit and integration tests and proficiency in TDD methodologies âą Experience with the software development life cycle from requirements gathering to deployment âą Ability to articulate ideas during requirements and design sessions and lead teams on assigned initiatives âą Strong analytical, problem-solving, and synthesising skills âą Practical experience with Spring AI, LangChain, LangGraph, LlamaIndex, or similar AI application frameworks is advantageous âą Familiarity with React and Next.js is advantageous âą Python is advantageous âą Kubernetes, Docker, and CI/CD tools and processes are advantageous
âą Competitive compensation âą Comprehensive private health cover and wellness plans âą Flexible and remote-friendly opportunities âą Work-from-home allowance âą Maternity/paternity leave âą Retirement benefits such as pension contributions âą Macbook Pro âą Paid time off and company holidays
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