Production Engineer

Deutsche Bank

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Cary, NC
Salary
$106,329–$140,000 / yr
Posted
20 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $174k
This role $123k
$93k $228k
below market most similar roles pay here above market

This role pays less than 85% of similar roles. Most pay $135,187–$213,531 — the blue band above. At the midpoint, this role pays about $123k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

About Deutsche Bank

Deutsche Bank is a German multinational investment bank and financial services company offering corporate banking, investment banking, retail banking, asset management, and transaction banking worldwide. Industry: Investment Banking & Financial Services

Deutsche Bank currently has 53 open roles on FindRole.

Listed pay typically runs $113,599–$140,000 across 29 roles with salary data.

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View all roles at Deutsche Bank

At a glance

TL;DR · Production Engineer

The Production Engineer will join the team to support production risk platforms by automating the reconciliation and reporting of VaR, FRTB, and economic capital metrics. The role involves developing automation scripts and data processing workflows, writing complex SQL queries, and developing stored procedures. Key responsibilities include designing and maintaining CI/CD processes with version control, managing containerized applications using Kubernetes in Unix/Linux environments, and supporting applications on Cloud Platforms including IaaS and PaaS. The engineer will perform application debugging, incident analysis, and root cause analysis while ensuring data consistency across upstream and downstream systems. Required technical skills include Python, SQL, configuration management, and workflow orchestration tools to manage deployment automation, operational tasks, and system stability improvements within a production risk environment.

What you'll do

  • Automate reconciliation and reporting of VaR, FRTB, and economic capital metrics using Python and SQL.
  • Develop automation scripts and data processing workflows using configuration management and workflow orchestration tools.
  • Write complex SQL queries and develop stored procedures for data management.
  • Design, implement, and maintain CI/CD pipelines with version control and automated build workflows.
  • Deploy and manage containerized applications using Kubernetes in Unix/Linux environments.
  • Configure and support applications on Cloud Platforms, including compute, networking, and identity management.
  • Perform application debugging, incident analysis, and root cause analysis to improve system stability.
  • Monitor and troubleshoot daily batch processing and workflow orchestration to ensure data consistency.

What we're looking for

  • Bachelor’s degree in Computer Engineering, Computer Science, or a related field or equivalent.
  • Two years of experience developing automation scripts and data processing workflows using Python.
  • Experience using configuration management and workflow orchestration tools for deployment automation and operational task management.
  • Proficiency in writing complex SQL queries and developing stored procedures.
  • Experience designing, implementing, and maintaining CI/CD processes with version control and automated build workflows.
  • Experience deploying and managing containerized applications using Kubernetes in Unix/Linux environments.
  • Experience deploying and supporting applications on Cloud Platforms (IaaS/PaaS), including networking and identity management.
  • Experience performing application debugging, incident analysis, root cause analysis, and production support.

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