You will build and deliver production-ready LLM applications, including RAG and hybrid search, while working directly with senior business stakeholders. You are responsible for the end-to-end solution lifecycle, from discovery and prototyping to deployment on Azure and ongoing evaluation.
You will own the technical architecture and delivery of enterprise AI capabilities, including defining standards, selecting platforms, and managing shared components. You will also lead a small engineering team while engaging directly with senior business stakeholders to scope and present solution proposals.
Design, build, and maintain backend services, APIs, and core application logic for a multi-asset trade and portfolio management platform. Collaborate with cross-functional teams to ensure system scalability, reliability, and performance while managing data pipelines.
You will lead an end-to-end AI workstream by translating complex business processes into reliable, reusable AI agents. This involves direct stakeholder engagement, designing technical solutions, and ensuring successful user adoption through rigorous testing and evaluation.
You will own the test strategy, planning, and release sign-off for a global mobility platform. You will also build and maintain end-to-end and API automation while validating complex financial and compliance workflows.
The Senior Analytics Engineer will lead the migration of dbt models and Airflow DAGs to a core data warehouse platform. They are responsible for building and optimizing incremental BigQuery data marts while ensuring data quality and reliable delivery.
The specialist will support and enhance a customized PeopleSoft HCM 9.2 environment, including application development and platform maintenance. They will also manage migration activities and collaborate with stakeholders to improve HR-related business processes.
Design and develop backend services using C# and modern .NET while contributing to architectural decisions. Lead technical discussions, mentor developers, and ensure high engineering standards across payment-focused solutions.
Design, develop, and maintain scalable backend services while driving architectural decisions and technical research. Collaborate across teams to ensure high-quality code delivery, monitoring, and mentorship of other engineers.
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.
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.
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.
