Head of Credit Production Engineering

Deutsche Bank

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$170,000–$308,000 / yr
Employment
Full-time
Posted
10 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $219k
This role $239k
$153k $325k
below market most similar roles pay here above market

This role pays more than 62% of similar roles. Most pay $176,712–$260,925 — the blue band above. At the midpoint, this role pays about $239k versus about $219k 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 46 open roles on FindRole.

Listed pay typically runs $121,202–$153,000 across 33 roles with salary data.

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View all roles at Deutsche Bank

At a glance

TL;DR · Head of Credit Production Engineering

The Head of Credit Production Engineering is a senior leadership role reporting to the Head of Fixed Income and Currencies Production & Reliability Engineering. You will lead a globally distributed team to drive production stability across the Credit business, aligning engineering priorities with regulatory expectations and platform resilience goals. Your daily responsibilities include embedding Site Reliability Engineering principles, managing incident response, and reviewing architectures to enhance platform robustness. You will utilize Linux/Unix systems, SQL, and programming languages like C++, Java, and Python. Technical requirements include experience with distributed systems, low-latency architectures, APIs, and event-driven architecture. You must also leverage observability tools like Prometheus, Grafana, and Splunk, alongside infrastructure automation via Ansible and Terraform. This role solves critical production stability problems within high-availability, real-time capital markets trading environments.

What you'll do

  • Drive global production stability for the Credit business while aligning engineering priorities with regulatory and business goals.
  • Embed modern Site Reliability Engineering (SRE) principles to transition from reactive support to proactive, automation-first engineering.
  • Review and challenge system architectures to enhance platform robustness and contribute to the overall tooling strategy.
  • Lead incident response, post-incident analysis, and risk reduction efforts to ensure high-availability in real-time environments.
  • Act as a senior partner to trading heads and technology executives to ensure transparency and shared accountability for platform health.
  • Develop, mentor, and scale a high-performing global team focused on technical excellence and a culture of ownership.
  • Leverage AI tools to optimize workflows and solve complex business problems while ensuring ethical data usage.

What we're looking for

  • Expertise in incident management, post-mortem culture, change governance, and operating within regulated financial environments.
  • Advanced technical proficiency in Linux/Unix systems, SQL, and programming in C++, Java, Python, or equivalent scripting languages.
  • Strong understanding of distributed systems, low-latency architectures, APIs, and event-driven architecture.
  • Hands-on experience with observability platforms (Prometheus, Grafana, Splunk, Geneos, OpenTelemetry) and infrastructure automation (Ansible, Terraform, CI/CD).
  • Familiarity with hybrid cloud, containerization, Kubernetes, Docker, and modern deployment methodologies.
  • Proven ability to leverage AI tools to enhance productivity and optimize workflows while ensuring ethical data use.
  • Leadership experience managing SRE or Production Engineering functions in complex, high-availability, real-time environments (preferred).
  • Experience in a Trading environment with knowledge of pricing, trade capture, market-data flows, and fixed income products (preferred).

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