Design, build, and maintain Java microservices while contributing to core banking transformation and legacy-modernization initiatives. Collaborate within Agile/Scrum teams to ensure high availability, performance, and regulatory compliance of enterprise-scale systems.
The role involves collaborating with business units to identify and define high-impact AI use cases while translating complex problems into functional requirements. You will also analyze end-to-end business processes to propose automation opportunities and validate that AI solutions meet performance targets.
Design and build machine learning models to optimize routing, travel time prediction, and traffic estimation using large-scale geospatial data. Lead the end-to-end production ML lifecycle, including model evaluation, deployment, monitoring, and collaboration with cross-functional teams.
Design and optimize end-to-end data solutions, including ingestion, processing, and storage, across cloud and legacy environments. Collaborate with cross-functional teams to modernize data systems while ensuring high standards of data quality, security, and performance.
Design and maintain automated test suites for APIs and mobile UI across iOS and Android while integrating them into CI/CD pipelines. Collaborate with development teams to investigate production issues, perform root cause analysis, and implement quality management processes.
Support quality assurance across data-intensive web applications and microservice-based platforms. Maintain existing test suites and contribute to automation initiatives while working with UI and API testing frameworks.
Design and develop scalable backend solutions using Java and microservices architecture. Maintain and optimize REST APIs while supporting delivery through CI/CD pipelines and containerized environments.
Design, develop, and maintain robust Spark applications while enforcing coding standards and best practices across the project. Collaborate with cross-functional teams to deliver scalable software solutions and provide clear communication to stakeholders.
You will contribute to the Risk & Governance Platforms team by developing, maintaining, and enhancing custom and SaaS solutions. Responsibilities include designing technical architectures, managing AWS deployments, and ensuring system scalability and security.
Design and maintain enterprise data pipelines and a centralized cloud data warehouse environment. Gather requirements from stakeholders to develop financial data flows and optimize data marts.
The role involves designing and evolving DWH architecture and developing financial data pipelines in a cloud environment. It also requires gathering requirements from stakeholders and maintaining technical documentation for audits and data governance.
Develop and maintain scalable REST APIs and backend services using Python and FastAPI for the banking sector. Implement secure authentication, data models, and caching mechanisms while ensuring quality through automated testing.
Design and maintain CI/CD pipelines and AWS cloud infrastructure using Terraform and Terragrunt. Support production environments for a banking CRM and Communication Platform, focusing on reliability and incident management.
The role involves eliciting and documenting business and functional requirements for a fintech payment project. The analyst acts as a bridge between business, product, and technical teams to ensure successful delivery of complex initiatives.
Lead and mentor a team of developers to design and implement a scalable micro-frontend architecture for banking systems. Develop high-quality user interfaces for Back Office applications while ensuring performance, security, and maintainability.
Develop scalable backend web applications using C# and .NET 8/9 within a product team. Design and integrate REST APIs while leading code reviews and taking ownership of backend architecture.
Design, develop, and maintain scalable backend services for a vehicle management platform. Drive technical research, architecture design, and mentor engineers while ensuring production-ready code and observability.
Design, build, and maintain scalable cloud-based data pipelines and ETL/ELT processes. Ensure data governance compliance while collaborating with cross-functional teams to evolve data infrastructure.
Design and develop scalable backend solutions and REST APIs using Java within a microservices architecture. Support delivery through CI/CD pipelines and containerized environments using Docker and Kubernetes.
The role involves the administration, operation, and tuning of distributed messaging platforms like Kafka and RabbitMQ. It also includes managing Apache Spark workloads and implementing governance, security, and monitoring practices for data environments.
The role involves the administration, operation, and tuning of distributed messaging platforms and Spark workloads. It also requires implementing governance, security, and continuous monitoring for critical data environments.
