# GCP Full-Stack Data & AI Engineer, AS at Deutsche Bank

Deutsche Bank is hiring a GCP Full-Stack Data & AI Engineer, AS in Pune, India. Level rates it Builds AI ●●●●; you can [apply on Level](https://jobsbylevel.com/go/05a95079-9294-48fc-aad3-2f0f9476618b).

AI Level 4, AI centrality 85 out of 100. Pune - Margarpatta.

## Details

- Company: [Deutsche Bank](https://jobsbylevel.com/companies/deutsche-bank)
- AI level: AI Level 4 (score 85 out of 100)
- Location: Pune - Margarpatta
- Posted: September 30, 2026
- Apply: https://jobsbylevel.com/go/05a95079-9294-48fc-aad3-2f0f9476618b

## Description

Job Description: Job Title: GCP Full-Stack Data & AI Engineer, AS Location: Pune, India Role Description: As a GCP Full-Stack Data & AI Engineer, you will deliver secure, scalable cloud-native applications spanning user interfaces, APIs, data services, AI capabilities, deployment, and production support. You will convert business needs into maintainable solutions, contribute to technical decisions, and help improve engineering standards across the software lifecycle. What we’ll offer you As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities: You will contribute to end-to-end delivery across the following areas, taking ownership of assigned solutions while collaborating with technical leads and partner teams: Full-Stack Application & API Engineering: Translate business and user needs into technical designs, estimates, delivery plans, and production-ready solutions. Develop accessible web interfaces, Python services, and well-documented REST APIs; integrate them with enterprise systems, data stores, event streams, and third-party services. Embed authentication, authorization, validation, error handling, auditability, and automated testing throughout the application lifecycle. Data & AI Engineering: Build and optimize batch and streaming pipelines and analytical or operational data models on Google Cloud. Integrate RAG, conversational AI, and agentic workflows into enterprise applications, with measurable evaluation for quality, safety, latency, and cost. Enforce data quality, lineage, governance, privacy, access control, and responsible AI requirements. Infrastructure & Operations: Provision secure, reusable cloud environments and delivery pipelines for frontend, backend, data, and AI components. Own production readiness, deployment, rollback, observability, autoscaling, disaster recovery, runbooks, and support handover. Monitor reliability, performance, security, user experience, and cloud cost; resolve cross-stack incidents through root-cause analysis and corrective action. Contribute to architecture decisions, technical documentation, engineering standards, and knowledge sharing. Your skills and experience Mandatory Engineering Skills: Experience: 6–10 years of hands-on software engineering experience delivering enterprise applications and data-intensive systems in production. Core Languages: Advanced proficiency in Python , SQL , and JavaScript or TypeScript , supported by clean-code practices, data structures, object-oriented design, and software design patterns. Frontend: Production experience with React or Angular , including component architecture, state management, routing, responsive design, accessibility, browser security, and performance optimization. Backend & APIs: Strong experience with FastAPI , Flask , and the design, integration, documentation, versioning, and support of REST APIs. Google Cloud & Data: Hands-on experience with Cloud Run , BigQuery , Cloud Storage , and Secret Manager , together with working knowledge of relevant services such as Cloud Composer or Apache Airflow, Pub/Sub , Cloud SQL , Firestore , and Memorystore . DevOps and Quality Engineering: Proficiency with Git , Docker , Terraform , Artifact Registry , Cloud Build , and CI/CD practices, including automated API, integration, UI, security, and performance testing. Preferred Skills: Experience in one or more of the advanced areas below is advantageous. Candidates are not expected to have production-level expertise in every listed technology. Advanced Technical & Design Expertise:

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/gcp-full-stack-data-ai-engineer-as-at-deutsche-bank-171962

Source: https://jobsbylevel.com/jobs/gcp-full-stack-data-ai-engineer-as-at-deutsche-bank-171962

## Cite this page

Level. https://jobsbylevel.com/jobs/gcp-full-stack-data-ai-engineer-as-at-deutsche-bank-171962.

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