Top Tech Jobs & Startup Jobs

As a Senior Oracle Engineer, you'll design and implement enhancements for Oracle databases in a financial context, ensuring performance tuning and managing clusters.

The Senior Manager leads a team in delivering global support for Risk Intelligence clients, focusing on operational excellence, employee engagement, and the alignment of support capabilities with business priorities.

The Lead DevOps Engineer will drive cloud product strategies, enhance ML capabilities, ensure best practices in infrastructure deployments, and mentor teams.

Lead quantitative research and index methodology design for equity and multi-asset strategies. Drive independent research, translate models into production with Engineering, build analytics and AI-enabled research infrastructure, support client engagements and business development, mentor team members, and contribute to strategic direction and product innovation.

Senior individual-contributor responsible for hands-on implementation, performance, scalability, resilience, and operational excellence of a Java/AWS-based Risk Screening platform. Partners with architects and SREs, leads complex changes, optimises large databases, and mentors engineering teams to ensure reliable, high-performance production systems.

Design, build, and operate a cloud-native, event-driven People Function capability layer. Deliver resilient, scalable integration pipelines, canonical data models, CI/CD, observability, and AWS infrastructure while enforcing technical standards, security and governance.

The Senior Engineer in Application Management will support the LSEG Post Trade Solution, handling incidents, bug fixes, enhancements, and technical consultancy, ensuring operational readiness and resilience in production environments.

Define and evolve end-to-end data architecture for real-time news ingestion, enrichment, storage, indexing, and distribution. Develop data standards, schemas, and contracts; normalize metadata for discoverability; ensure observability and lineage; influence platform strategy; collaborate with engineering and product leaders; pragmatically evaluate tools to improve reliability and performance.

Provides principal-level technical leadership for enterprise machine learning systems supporting a matching platform. Responsibilities include ML architecture, feature pipelines, model development, AWS SageMaker MLOps, low-latency inference, explainability, governance, security, monitoring, drift detection, testing, and deployment automation. The role mentors engineers, establishes engineering standards, and drives scalable, reliable, compliant ML platform capabilities across environments.

Partners with Japan business leaders to execute people strategies, advise on employee relations and performance, lead talent and succession planning, improve engagement and culture, support organizational change, and strengthen HR operations. The role uses people metrics, dashboards, data literacy, AI-enabled tools, and local labor knowledge to deliver compliant, business-focused outcomes in a global matrix environment.