Finance Production Engineer - Analyst at Deutsche Bank · Cary

Summary: Deutsche Bank is a leading global bank that provides financial services in over 70 countries. As an Analyst within the Accounting Revenue technology team, you will support data platforms and applications that underpin revenue processing and reporting, ensuring systems operate reliably and data pipelines run accurately and on time. 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) Required Qualifications: - Bachelor's degree in computer science or equivalent experience, with strong troubleshooting, and collaboration in a mixed team - Strong hands-on experience Oracle, Structured Query Language, Procedural Language / Structured Query Language, HIVE / Spark, Unix/Linux, Information Technology Infrastructure Library (ITIL), Splunk, Geneos, Unix, Shell script and debugging across infrastructure components and cloud technologies (Google Cloud Platform preferred) - Experience with scripting languages such as Python, Ansible for automation of various manual tasks - Hands on background in Site Reliability Engineering, including building Service Level Indicator/Service Level Objective, and working with monitoring and scheduling tools such as Google Cloud, ServiceNow and Control M, as well as ticketing tool like service now - 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 - Experience in controlled production environments with strong knowledge of ITIL practices, global service operations, and financial technology domain or client facing support functions - 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 Required Skills: Oracle, SQL, PL/SQL, Hive, Spark, Unix/Linux, ITIL, Splunk, Geneos, Shell scripting, Python, Ansible, Site Reliability Engineering, Service Level Indicator/Service Level Objective, Google Cloud Platform, ServiceNow, Control M, Ticketing systems, Analytical skills, Troubleshooting Benefits: A diverse and inclusive environment that embraces change, innovation, and collaboration, A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days, Employee Resource Groups support an inclusive workplace for everyone and promote community engagement, Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits, Educational resources, matching gift and volunteer programs