GCP Full-Stack Data & AI Engineer, AS

Deutsche Bank AG; Maharashtra; On-site; INR 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Leave policy

Parental leave

Certifications sponsorship

EAP (Employee Assistance Program)

Health insurance

Job summary

Deutsche Bank AG in Pune, India, seeks an experienced GCP Full-Stack Data & AI Engineer to build secure cloud-native apps, APIs, and data pipelines. You will translate business needs into scalable solutions and contribute to engineering standards across the software lifecycle.

The role emphasizes Python, SQL, JavaScript/TypeScript, React/Angular, and strong GCP fundamentals, with exposure to AI capabilities and production readiness practices.

Qualifications

• 6–10 years of hands-on software engineering delivering enterprise apps and data-intensive systems.
• Proficiency in Python, SQL and JavaScript/TypeScript with clean-code practices.
• Frontend experience with React or Angular and modern web app patterns.
• Backend & API experience with FastAPI or Flask and REST APIs.
• Hands-on Google Cloud experience: Cloud Run, BigQuery, Cloud Storage, Secret Manager.
• DevOps/QA: Git, Docker, Terraform, CI/CD; automated testing practices.
• Security, governance, and responsible AI fundamentals.

Responsibilities

• Deliver end-to-end full-stack apps and APIs with secure auth and testing.
• Build accessible web interfaces, Python services, and REST APIs; integrate data stores and event streams.
• Develop batch and streaming data pipelines; integrate RAG and AI features.
• Ensure production readiness, observability, autoscaling, and cost controls; incident response.
• Contribute to architecture decisions and engineering standards across teams.
• Own production readiness, deployment, observability, and incident response.

Skills

Python

SQL

JavaScript/TypeScript

React/Angular

FastAPI/Flask

REST APIs

GCP

Cloud Run

BigQuery

Pub/Sub

Git

Docker

Terraform

CI/CD

Data pipelines

Memory stores

Tools

Cloud Run

BigQuery

Cloud Storage

Secret Manager

Airflow / Cloud Composer

Pub/Sub

Cloud SQL

Firestore

Memorystore

Job description

Job Description:Job Title: GCP Full-Stack Data & AI EngineerLocation: Pune, IndiaRole 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 youAs part of our flexible scheme, here are just some of the benefits that you’ll enjoyBest in class leave policy.Gender neutral parental leaves100% reimbursement under childcare assistance benefit (gender neutral)Sponsorship for Industry relevant certifications and educationEmployee Assistance Program for you and your family membersComprehensive Hospitalization Insurance for you and your dependentsAccident and Term life InsuranceComplementary Health screening for 35 yrs. and aboveYour 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 experienceMandatory 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: Candidates should demonstrate practical experience delivering secure, scalable, and supportable solutions across the following areas.Architecture: Design modular solutions spanning user interfaces, services, event-driven components, data stores, AI capabilities, and external integrations, balancing scalability, maintainability, reliability, and cost.Security: Apply OAuth 2.0 , OpenID Connect , JWT , IAM, API gateways, CORS, rate limiting, secrets management, input validation, and OWASP-aligned practices.Quality Engineering: Strong hands-on experience with API testing using Postman and automated test frameworks. Ability to implement unit, integration, contract, UI, end-to-end, security, and performance tests using tools such as Pytest .Operations & Reliability: Implement observability, autoscaling, SLOs/SLIs, incident response, capacity planning, and resilience using Google Cloud Operations .Data Engineering: Apply data modelling, batch and streaming design, orchestration, data quality, lineage, governance, query optimization, and secure publishing practices.Generative & Agentic AI: Build and evaluate RAG, conversational, and tool-enabled agent solutions using Gemini models, embeddings, vector databases, Dialogflow CX or CX Agent Studio , and the Google Agent Development Kit (ADK) . Familiarity with multi-agent orchestration, agent-to-agent protocols, guardrails, and human oversight is desirable.Technical Leadership: Contribute to design and code reviews, promote reusable standards, support other engineers, and communicate technical trade-offs across product, UX, security, architecture, data, and operations teams.How we’ll support youTraining and development to help you excel in your careerCoaching and support from experts in your teamA culture of continuous learning to aid progressionA range of flexible benefits that you can tailor to suit your needsAbout us and our teamsPlease visit our company website for further information:https://www.db.com/company/company.htmlWe strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.We welcome applications from all people and promote a positive, fair and inclusive work environment.