Be Part Of A High-Performing Global Banking Technology Team:

This opportunity supports a leading international financial institution with a strong presence in U.S. Capital Markets and global banking operations. The organization operates at the intersection of finance and advanced technology, delivering high-performance platforms that power trading, risk management, regulatory reporting, and enterprise data initiatives. Teams operate in a fast-paced, highly collaborative environment where engineering excellence, reliability, and scalability are critical. The culture emphasizes precision, accountability, and continuous modernization of core systems.

What’s In Store For You:

• Exposure to enterprise-scale, high-availability financial systems
• Opportunity to work on distributed data platforms handling large-volume, low-latency workloads
• Long-term modernization and cloud-aligned data initiatives
• Visibility across cross-functional technology and business teams

How You Will Make An Impact:

• Design, develop, and optimize distributed NoSQL database solutions using MongoDB and Cassandra
• Build scalable, high-availability data architectures supporting real-time and near-real-time processing
• Partner with application developers, data engineers, and infrastructure teams to define data models and performance strategies
• Tune and optimize database performance for high-throughput transactional systems
• Support data replication, clustering, failover, and disaster recovery configurations
• Participate in production support, troubleshooting, and root cause analysis for critical systems
• Contribute to database automation, monitoring, and DevOps best practices
• Ensure security, compliance, and data integrity standards are met across environments

Are you an experienced NoSQL engineering professional ready to make an impact?

• 5+ years of experience working with NoSQL databases in enterprise environments
• Strong hands-on expertise with MongoDB and/or Cassandra (design, performance tuning, cluster management)
• Experience designing distributed, fault-tolerant database architectures
• Solid understanding of data modeling for high-volume transactional systems
• Experience working in Linux/Unix environments
• Proficiency with scripting or backend languages (Java, Python, Scala, or similar)
• Familiarity with CI/CD pipelines and infrastructure automation
• Experience supporting high-availability production environments
• Strong analytical and problem-solving skills
• Excellent communication skills and ability to collaborate with cross-functional stakeholders

Preferred:

• Experience within financial services, banking, or capital markets environments
• Exposure to trading systems, risk platforms, or high-throughput financial datasets
• Cloud experience (AWS, Azure, or GCP)
• Knowledge of monitoring and observability tools