Jobs at Deutsche Bank

Leads the design, development, testing, deployment, and maintenance of scalable GCP and big data applications using Python and PySpark. Provides technical direction and mentorship, drives solution design, modernizes legacy systems, performs code reviews, and supports Agile delivery. Builds CI/CD automation, integrates APIs and microservices, manages cloud infrastructure, and ensures software quality, performance, and maintainability.

Leads business analysis and application ownership for HR learning technologies within Deutsche Bank’s Talent value stream. Responsibilities include documenting HR processes and technology architectures, managing application dependencies, stakeholders, vendors, licenses, permissions, audits, controls, onboarding and decommissioning, capacity planning, release assessments, code scanning, penetration testing, and SDLC collaboration.

Leads business analysis and application ownership for HR learning technologies within Deutsche Bank’s Talent value stream. Responsibilities include defining current and target architectures, documenting HR processes and dependencies, managing stakeholders and vendors, overseeing application onboarding and decommissioning, permissions, capacity, licenses, compliance, audit remediation, security testing, and SDLC collaboration. The role requires strong HR technology knowledge, Agile experience, governance expertise, and at least nine years of professional experience.

Develops and deploys AI/ML systems, agentic workflows, and scalable batch and real-time ETL pipelines. Builds intelligent AI agents, integrates MLOps and DataOps practices, creates CI/CD and infrastructure-as-code solutions, and supports model and pipeline troubleshooting. Responsibilities include testing deterministic and generative AI outputs, optimizing performance and cost, implementing architectural changes, managing releases, and documenting AI and data systems. The role also mentors junior team members and collaborates across the software and data lifecycle.

Designs, develops, deploys, maintains, and quality-assures Blue Prism RPA solutions and integrations with AI technologies. The role includes automating business processes, developing proof-of-concepts, analyzing requirements, supporting reusable solution design, troubleshooting production issues, and ensuring secure, scalable, available, and maintainable implementations in an agile banking environment.

Leads platform services squads and governs enhancements, production fixes, product ownership, application stability, incident root-cause analysis, audits, disaster recovery, and technology upgrades. Coordinates with business, technology, satellite application, and Infosys teams to deliver transformation initiatives. Oversees requirements, regulatory and audit remediation, senior-management reporting, objectives, people development, and application ownership across financial services platforms.

Configure, implement, support, and test Coupa Risk Assess solutions, including workflows, reporting, release testing, incident resolution, documentation, and configuration changes. Collaborate with business stakeholders, project managers, architects, and platform owners to assess requirements, ensure functional fit, meet SLAs, and deliver improvements aligned with best practices. The role requires strong communication, analytical, troubleshooting, and cross-functional collaboration skills.

Reviews recorded client relationship manager calls to verify trade details, documents outcomes in product-specific templates, identifies exceptions, and escalates missing or inconsistent information. The role performs quality checks, maintains audit evidence, supports control and production reporting, follows up on deficiencies, and assists with process improvements. Strong Mandarin and/or Cantonese comprehension, business English, attention to detail, financial terminology knowledge, and Microsoft Office proficiency are required.

Reviews recorded conversations between relationship managers and clients to verify that trade details are accurately discussed, documented, and compliant with control standards. Completes product-specific review templates, identifies and escalates missing or inconsistent information, performs quality checks, maintains audit evidence, prepares control reports, and supports follow-ups, peer coverage, knowledge sharing, and process improvement.

Owns application management for banking applications, ensuring security, risk, compliance, audit, lifecycle, access, monitoring, disaster recovery, capacity, infrastructure, and upgrade requirements are met. Coordinates remediation, incident management, stakeholder and vendor activities, and application events. Requires basic technical and infrastructure knowledge, understanding of information security controls, IAM, governance, compliance, audit processes, and systems development lifecycle practices.

Lead Java and cloud modernization development across distributed systems, designing secure, reliable applications and infrastructure. Responsibilities include solution architecture, quality coding, troubleshooting, CI/CD implementation, infrastructure automation with Terraform, Docker and Kubernetes deployment, Agile collaboration, technical leadership, and support for application lifecycle activities. The role requires extensive Java, Spring, microservices, cloud, database, DevOps, security, and web services expertise.

Lead the architecture and hands-on delivery of GCP data and generative AI solutions. Build scalable batch and streaming pipelines, REST APIs, RAG systems, agentic workflows, and cloud infrastructure. Own production deployment, CI/CD, security, governance, testing, resilience, monitoring, and L3 issue resolution while providing technical guidance on complex engineering decisions.

Build secure, scalable full-stack applications and data-intensive systems on Google Cloud. Develop frontend interfaces, Python services, REST APIs, batch and streaming pipelines, analytical models, and generative AI solutions including RAG and agentic workflows. Manage infrastructure, CI/CD, observability, security, testing, production readiness, incident resolution, governance, and cloud cost optimization. Contribute to architecture, technical standards, documentation, code reviews, and cross-functional engineering collaboration.

Build secure, scalable full-stack applications, APIs, cloud data pipelines, and AI capabilities on Google Cloud. Responsibilities include frontend and backend development, batch and streaming data engineering, RAG and agentic AI integration, infrastructure provisioning, CI/CD, observability, production support, security, testing, and architecture contributions.

Leads architecture and hands-on delivery of GCP data and generative AI solutions. Designs RAG systems, agentic workflows, conversational AI applications, REST APIs, and scalable batch and streaming pipelines. Uses Python, SQL, Vertex AI, BigQuery, Cloud Composer, Cloud Run, Terraform, and CI/CD tooling. Owns infrastructure, security, governance, testing, deployment, monitoring, and L3 production support while providing technical guidance on complex engineering decisions.

Leads enterprise reporting and data integration architecture across GCP, on-premises systems, SaaS platforms, and data services. Designs scalable batch, streaming, event-driven, API-led, and low-latency integrations supporting reporting, investment operations, risk, finance, and regulatory functions. Provides hands-on development, technology governance, cloud modernization, DevOps, observability, data quality, and platform reliability leadership while mentoring engineering teams and engaging senior management.

Leads enterprise reporting and data integration architecture across GCP, on-premises, SaaS, and hybrid ecosystems. Designs scalable batch, real-time, streaming, event-driven, API-led, and microservices integrations supporting asset management, regulatory reporting, risk, finance, and investment operations. Provides hands-on technical leadership, governance, DevOps modernization, data quality oversight, troubleshooting, and mentorship while ensuring resilience, observability, compliance, and operational stability.

Design, develop, test and deliver end-to-end .NET solutions. Collaborate with business and engineering teams on architecture, troubleshooting, code reviews, DevOps practices, and continuous improvement to meet regulatory and performance requirements.

Leads architecture, design, implementation, coding, testing, reviews, and release activities for high-quality accounting technology solutions. Defines scalable cloud-native architectures, establishes engineering standards, mentors developers, and communicates technical concepts to stakeholders. Requires deep full-stack Java expertise, distributed systems knowledge, cloud and container experience, CI/CD proficiency, messaging and streaming capabilities, SRE practices, and experience designing large-scale systems.

Leads the design, implementation, and delivery of scalable technology solutions within the Accounting domain. Responsibilities include architecture, hands-on Java development, code reviews, testing, release activities, technical standards, mentoring engineers, and stakeholder communication. The role requires expertise in cloud-native architecture, distributed systems, data processing, CI/CD, Kubernetes, messaging, public cloud, SRE, and quality engineering practices.