Associate – BZ9413363}

Deutsche Bank•Cary, NC

23d

About The Position

DB Global Technology, Inc. seeks an Associate in Cary, NC to design, develop, enhance, and maintain a large mission-critical IT system. Requires a Master’s degree in Computer Science, or related field or equivalent and two (2) years of experience designing and developing scalable backend systems and microservices using Java and Spring Framework, applying Object-Oriented Programming principles including inheritance, encapsulation, and functional constructs including Streams and Lambda expressions; implementing backend services using C# and .NET for data ingestion, transformation, and archival workflows; building and deploying cloud-native applications on Google Cloud Platform (GCP), including utilizing Cloud Storage, BigQuery, GKE, and related services for large-scale data archival and retrieval; automating data ingestion and archival using AVRO, and transforming datasets for analytical consumption in platforms including BigQuery; migrating large datasets from Azure to GCP utilizing tools including rclone, including optimization techniques parallel chunking, stream processing, and multithreading to improve performance; creating and configuring GitHub workflows for automated deployment, testing, and CI/CD pipelines across multi-environment systems; developing and maintaining Kafka-based data pipelines for real-time streaming and reliable message delivery between client systems and internal data services; deploying services to on-premises infrastructure using OpenShift and Fabric, and customizing Kubernetes YAML configurations for compliance-driven deployments; writing and debugging scripts and automation tools using languages including Python, Shell, or equivalent to support platform reliability and observability; utilizing Docker, Kubernetes, Git, IntelliJ, PyCharm, Anaconda, Postman, Eclipse, and Android Studio for software development and testing; and managing databases including MongoDB, MySQL, SQLite, Oracle, and Druid for scalable storage and efficient querying across structured and unstructured data. Salary: $116,725 – $140,000/year. This position is eligible for Deutsche Bank's Employee Referral Incentive Program. We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Click these links to view Deutsche Bank’s Equal Opportunity Policy Statement and the following notices: EEOC Know Your Rights; Employee Rights and Responsibilities under the Family and Medical Leave Act; and Employee Polygraph Protection Act. For over 150 years, our dedication to being the Global Hausbank for our clients has been driven by our people – in around 60 countries and across more than 150 nationalities. Their deep understanding, insights, expertise, and passion help our clients navigate an increasingly complex world – be it in our Corporate Bank, our Private Bank, our Investment Bank or our Asset Management (DWS) division. Together we can make a great impact for our clients at home and abroad, securing their lasting success and financial security. More information at: Deutsche Bank Careers (db.com)

Requirements

Master’s degree in Computer Science, or related field or equivalent
Two (2) years of experience designing and developing scalable backend systems and microservices using Java and Spring Framework, applying Object-Oriented Programming principles including inheritance, encapsulation, and functional constructs including Streams and Lambda expressions
Implementing backend services using C# and .NET for data ingestion, transformation, and archival workflows
Building and deploying cloud-native applications on Google Cloud Platform (GCP), including utilizing Cloud Storage, BigQuery, GKE, and related services for large-scale data archival and retrieval
Automating data ingestion and archival using AVRO, and transforming datasets for analytical consumption in platforms including BigQuery
Migrating large datasets from Azure to GCP utilizing tools including rclone, including optimization techniques parallel chunking, stream processing, and multithreading to improve performance
Creating and configuring GitHub workflows for automated deployment, testing, and CI/CD pipelines across multi-environment systems
Developing and maintaining Kafka-based data pipelines for real-time streaming and reliable message delivery between client systems and internal data services
Deploying services to on-premises infrastructure using OpenShift and Fabric, and customizing Kubernetes YAML configurations for compliance-driven deployments
Writing and debugging scripts and automation tools using languages including Python, Shell, or equivalent to support platform reliability and observability
Utilizing Docker, Kubernetes, Git, IntelliJ, PyCharm, Anaconda, Postman, Eclipse, and Android Studio for software development and testing
Managing databases including MongoDB, MySQL, SQLite, Oracle, and Druid for scalable storage and efficient querying across structured and unstructured data