Be an integral part of a team that's constantly pushing the envelope to enhance, build, and deliver cutting‑edge technology products.
As a Software Engineer III on the Global Liquidity and Cash Management Technology team, you will design, build, and enhance a real‑time client liquidity dashboard using Java, Kafka, and ReactJs. You will deliver features, enhancements, and bug fixes that keep the codebase modern, well‑structured, and robust. Within this role, you will help evolve a new real‑time intraday liquidity monitoring platform used globally by wholesale clients of the Payments business. You will collaborate with colleagues to analyze client requirements, estimate work, participate in planning, conduct code reviews, and contribute to architecture design sessions and retrospectives. As a part of a dynamic, hands‑on engineering team, you will work on a rich, graphical, reactive user interface that enables clients to monitor and manage their liquidity positions in real time. You will deepen your understanding of liquidity through close interaction with stakeholders and access to extensive training resources. You will also grow your technical skills through curated development programs and dedicated training days. In this role, you will see the direct impact of your work on the liquidity business and receive feedback from clients around the globe. Banking experience is not required, but you must be a passionate, well‑rounded technologist who is eager to continuously learn and improve.
Job responsibilities
- Design and develop technical solutions for a client facing real‑time liquidity dashboard. Incorporate security requirements and review code written by team members using software engineering best practices.
- Write secure, high‑quality and performant code with automated unit, component and integration tests.
- Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by code.
- Identify opportunities to eliminate recurring issues to improve overall operational stability of software applications and systems.
- Participate in communities of practice across the group to drive awareness, consistency and adoption of modern technologies.
- Collaborate effectively as part of a global team.
- Provide technical leadership to small engineering sub‑teams focused on the delivery of a small epic by transforming requirements into stories and a build plan.
- Support junior colleagues in their technical growth.
- Provide out of hours application support and coordinate production releases.
Required qualifications, capabilities, and skills
- Experience in enterprise software development.
- Excellent understanding of Java fundamentals and frameworks (Spring Boot), OO programming paradigms, multi-threading, messaging technologies and computer networks.
- Experience in building high-performance, real-time Java applications/user interfaces/APIs.
- Hands‑on experience with event‑driven architecture and distributed messaging technologies (Kafka).
- Experience in maintaining and troubleshooting software running in a Linux environment, familiarity with the Linux operating system, system utilities, containers and cloud architectures and services.
- Experience with modern testing tools (JUnit, Mockito, Spring Test Framework).
- Strong interpersonal and communication skills, with experience working with globally distributed engineers and stakeholders.
- Understanding of the full software development lifecycle and agile approach.
Preferred qualifications, capabilities, and skills
- Experience of front‑end development and front‑end technologies, like ReactJs.
- AWS public cloud and infrastructure as code (Terraform) experience.
- Experience with gRPC and Google Protocol Buffers.
- Experience using and designing schemas/data structures in resilient SQL and NoSQL databases (e.g. Aurora PostgreSQL and DynamoDB).
- Certified Kubernetes and public cloud knowledge (e.g. CKAD and AWS certifications).
- Experience of automated integration and user interface testing.
- Experience of analytical data platforms (e.g. Databricks).
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