Backend Engineer
Role details
Job location
Tech stack
Job description
We're looking for a Java Engineer to help us build and deliver an enterprise digital Client due diligence platform including Initial Due Diligence (KYC/AML) and Period due diligence (PKR) platforms.
Delivery responsibility: design, develop, implement, and mange technology platforms in the client onboarding / lifecycle management areas Delivery responsibility: Apply a broad range of full stack development, security, reliability, and integration technologies on the Azure platform to help the team deliver a robust and scalable platform Delivery responsibility: Integrate with advisory workstation, client due-diligence systems, case management systems, data / document management, workflow management, and other foundational platforms to deliver a seamless experience for the client and advisor. Delivery responsibility: manage platform technical roadmap to ensure modern capabilities are continuously evaluated and onboarded to deliver business value Technology leadership & Relationship Management: develop and foster partnership with cross functional teams including banking and wealth management businesses, risk/reg/compliance, records management, cloud infrastructure, security and architecture office to ensure platform meets firm's requirements
Requirements
Are you passionate about bringing systems to life? Are you good at problem solving, finding solutions? Are you interested in leading people to improve digital client on-boarding processes using technology and drive revenue, profitability, and NPS for the firm?, Expert hands-on knowledge in designing, developing, and delivering large, scalable and distributed systems Experienced in Java/J2EE, React JS, Kafka, REST APIs, microservices, and event driven architecture Working knowledge of application frameworks such as Spring Boot & Micronaut Good knowledge of cloud technologies including Docker, Kubernetes and other cloud-native services preferably in Microsoft Azure. Azure Data Factory (ADF), Azure Data Lake (ADLS) & Databricks a huge plus. Good SQL and data analysis skills. Experience in NoSQL DBs like CosmosDB or MongoDB a huge plus Good UNIX/Linux experiences and scripting skills including scheduling/automation like AutoSys or TWS Excellent communication skills and team player Working knowledge of Agile development processes and tools Analytical and methodical problem solving and debugging skills Leading a team of resources across geographies and managing a business-critical platform Good at communication and team coaching / management skills Tuned to Finance industry and / or service provider culture