Finance Production Engineer - Analyst

Deutsche Bank is a global banking and financial services company with a strong technology focus, seeking a Finance Production Engineer - Analyst in Cary, NC. The role involves supporting applications and data platforms for revenue processing, ensuring system reliability and data accuracy while performing production support and incident resolution tasks.

Responsibilities

• Support the production platform, carrying out monitoring and remediation of issues and specific maintenance tasks as per the run book procedures
• As a Site Reliability Engineer, you are expected to carry out deep technical analysis of the production to identify performance, stability, and resilience enhancements
• Prioritize and diagnose incidents according to agreed procedures, investigate causes of incidents, seek resolution, and facilitate recovery
• Drive automation initiatives to reduce manual effort and continuously improve the production support environment
• Serve as DevOps Lead, work closely with the Change team in driving and embedding the production readiness controls (as part of the Software Delivery Lifecycle)

Skills

• Bachelor's degree in computer science or equivalent experience, with strong troubleshooting, and collaboration in a mixed team
• Experience in controlled production environments with strong knowledge of ITIL practices, global service operations, and financial technology or client facing support functions
• Technical proficiency in UNIX/Linux, Solaris, Java J2EE, Python, PowerShell, Structured Query Language (SQL) scripting, databases (Oracle/MSSQL), debugging across infrastructure components, and cloud technologies (Google Cloud Platform preferred)
• Hands on background in Site Reliability Engineering, including building Service Level Indicator/Service Level Objective, and working with monitoring and scheduling tools such as Geneos, Splunk, Grafana, New Relic, and Control M, as well as microservices, Application Programming Interfaces, Continuous Integration / Continuous Deployment (sometimes Continuous Delivery) pipelines, and container platforms (OpenShift/Kubernetes)
• Ability to leverage or understand the potential of AI and Large Language Models in production environment is a plus
• Understanding of Site Reliability Engineering principles and Automation first mindset with a focus on reliability and service improvement
• Excellent communication skills, both written and spoken
• Ability to work in a fast-paced environment with competing and alternating priorities (with a constant focus on delivery)
• Strong analytical, troubleshooting, and problem-solving skills

Benefits

• Health and wellbeing benefits
• Retirement savings plans
• Parental leave
• Family building benefits
• Educational resources
• Matching gift and volunteer programs

Company Overview

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