Production Engineer

Deutsche Bank•Cary, NC

7d•Onsite

About The Position

DB Global Technology, Inc. seeks a Production Engineer in Cary, NC to support production risk platforms by automating reconciliation and reporting of VaR, FRTB, and economic capital metrics using Python and SQL. This role involves developing automation scripts, managing data processing workflows, and ensuring the stability and efficiency of production systems. The engineer will also be responsible for debugging applications, providing production support, and implementing improvements to mitigate operational risks.

Requirements

Bachelor’s degree in Computer Engineering, Computer Science, or related field or equivalent.
Two (2) years of experience developing automation scripts and data processing workflows using Python.
Experience with configuration management and workflow orchestration tools for deployment automation, reconciliation processes, and operational task management.
Experience writing complex SQL queries, developing stored procedures, and designing, implementing, and maintaining CI/CD and deployment processes with version control integration and automated build and release workflows.
Experience deploying and managing containerized applications using Kubernetes in Unix/Linux environments, including configuration, deployment strategies, scaling, application monitoring, and log analysis.
Experience deploying, configuring, and supporting applications on Cloud Platforms (IaaS/PaaS), including compute services, identity and access management, networking, and monitoring/logging.
Experience performing application debugging and production support activities, including incident analysis, root cause analysis (RCA), log analysis, troubleshooting application and infrastructure issues, and implementing operational risk mitigation and system stability improvements.
Experience performing data processing, analytical computations, and data validation, including reconciliation and verification of outputs across systems.
Experience supporting daily batch processing and workflow orchestration, including execution, monitoring, troubleshooting failures, and ensuring data consistency across upstream and downstream systems.

Responsibilities

Automate reconciliation and reporting of VaR, FRTB, and economic capital metrics using Python and SQL.
Develop automation scripts and data processing workflows using Python.
Utilize configuration management and workflow orchestration tools for deployment automation, reconciliation processes, and operational task management.
Write complex SQL queries, develop stored procedures, and design, implement, and maintain CI/CD and deployment processes with version control integration and automated build and release workflows.
Deploy and manage containerized applications using Kubernetes in Unix/Linux environments, including configuration, deployment strategies, scaling, application monitoring, and log analysis.
Deploy, configure, and support applications on Cloud Platforms (IaaS/PaaS), including compute services, identity and access management, networking, and monitoring/logging.
Perform application debugging and production support activities, including incident analysis, root cause analysis (RCA), log analysis, troubleshooting application and infrastructure issues, and implementing operational risk mitigation and system stability improvements.
Perform data processing, analytical computations, and data validation, including reconciliation and verification of outputs across systems.
Support daily batch processing and workflow orchestration, including execution, monitoring, troubleshooting failures, and ensuring data consistency across upstream and downstream systems.