Job Description: Note: Fidelity will not provide immigration sponsorship for this position. The Role We are seeking a highly accomplished Director of Engineering responsible for the engineering strategy, execution, and evolution of our Integrated Experience Platform
Job Description: Note: Fidelity will not provide immigration sponsorship for this position. Position Description: Programs server-side (integration/controller layer) applications, using Java, Spring Boot, and client-side (presentation layer) and Angular. Reviews system design specifications, contributing to technical
Requirement ID: 10826782 Job Title: Domain Expert – Secure Coding (SECO) Location: Amstelveen / Amsterdam, Netherlands (Hybrid) Contract Duration: 6 Months Start Date: 1 September 2026 Experience Required: 6–8 Years Industry: Banking / Financial Services Employment
ING is looking for an enthusiastic Product Manager who gets their energy from developing and evangelizing the global authentication frameworkproduct, while communicating with business and IT. Youll bridge business stakeholders, security teams, and engineering to deliver
Req ID: 383535 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are
This role was originally posted on 24 June 2026. Therefore, the priority scheme does not apply to this vacancy. The Team Do you love to operate in a truly international environment, want to be the driving
Program Planning Manager I You dont see it, but its there. Our employees work on the worlds most advanced electronics from saving emissions in the City of Lights to powering the Mars Rover to protecting the
People Manager BAE Systems seeks a dynamic People Manager to lead our Program Planning team within the Space Systems C4ISR (Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance) segment. In this pivotal role, you will lead
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side