Design, develop, and maintain automated workflows and scripts to improve Digital Workplace services and reduce manual effort. Collaborate with stakeholders to implement API-based integrations and AI-enabled solutions while ensuring data quality and system reliability.
Design, develop, and maintain scalable backend services and microservice-based applications using Kotlin and Spring Boot. Collaborate with cross-functional teams to implement integration patterns, manage cloud infrastructure, and contribute to architectural decisions.
The role involves acting as a technical advisor to design secure, scalable, and cost-optimized AWS architectures for enterprise customers. You will lead cloud migration initiatives, manage infrastructure automation, and mentor engineering teams on best practices.
The Solution Architect is responsible for defining and driving end-to-end architecture for projects within the Core & Integrations vertical. They collaborate with development teams and stakeholders to translate business requirements into scalable, resilient, and maintainable technical solutions.
The Senior QA Automation Engineer will design and implement scalable test automation frameworks for API and backend services within an Agile environment. They will collaborate with cross-functional teams to ensure the quality of complex lending workflows, integrations, and microservices.
The role involves collecting and consolidating business requirements for controlling reporting and process mining while facilitating communication between business teams and product owners. You will also be responsible for documenting data entities, tracking impediments, and ensuring consistent implementation of business priorities.
Design, develop, and maintain backend applications and services using C# and .NET while ensuring high performance and scalability. Implement REST APIs, event-driven interaction patterns, and robust database integrations within a clean architecture framework.
The role involves translating regulatory policy changes into functional business requirements and managing the end-to-end delivery of solutions. You will act as a bridge between business divisions and solution providers while maintaining project documentation and product backlogs.
The AI Engineer will collaborate with stakeholders to translate business needs into production-ready AI/ML solutions and manage data infrastructure. They are responsible for building scalable APIs, monitoring model performance, and integrating advanced techniques like Generative AI into business applications.
Facilitate agile ceremonies and support the team in continuously improving their delivery of value by removing impediments. Collaborate with the Product Owner and other stakeholders to ensure a healthy product backlog and foster a culture of self-organization.
