What are the eligibility criteria for the GCP Full-Stack Data & AI Engineer, AS job at Deutsche Bank?

Eligibility typically includes the qualifications and experience outlined in the job description above, with around 0-5 Years years of relevant experience expected for this role.

What are the primary responsibilities of a GCP Full-Stack Data & AI Engineer, AS at Deutsche Bank?

The key responsibilities for this role are detailed in the Key Responsibilities section above, covering the core duties expected of a GCP Full-Stack Data & AI Engineer, AS at Deutsche Bank.

Is prior experience required for this position?

This role requires around 0-5 Years years of relevant experience, as specified in the job listing. Please refer to the Qualifications & Experience section above for full details.

What skills are important for this role?

Skills relevant to this position are outlined in the Qualifications & Experience section above. In general, strong communication, domain knowledge, and the ability to meet role-specific targets are valued across similar BFSI positions.

How do I apply for the GCP Full-Stack Data & AI Engineer, AS role at Deutsche Bank?

You can apply directly using the Apply Now button on this page, which will take you to Deutsche Bank's application process for this role.

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

Job Description

Job Description:

Job Title: GCP Full-Stack Data & AI Engineer

Location: Pune, India

Position Description:

As a GCP Full-Stack Data & AI Engineer, you will produce 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 upgrade engineering standards throughout 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 core responsibilities:
You will contribute to end-to-end delivery spanning 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.

Build 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:

Establish 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 criteria.

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 understanding sharing.

Your competencies and experience

Mandatory Engineering Abilities:

Experience: 6–10 years of hands-on software engineering experience providing 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, covering component architecture, state management, routing, responsive design, accessibility, browser security, and performance optimization.

Backend & APIs: Sound 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 understanding 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 Establish, and CI/CD practices, among them automated API, integration, UI, security, and performance testing.

Preferred Capabilities: Exposure to one or more of the advanced areas below is advantageous. People are not expected to have production-level expertise in every listed technology.

Advanced Technical & Design Expertise: Applicants should demonstrate practical experience producing secure, scalable, and supportable solutions spanning 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: Solid hands-on experience with API testing using Postman and automated test frameworks. Aptitude 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: Create 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 throughout product, UX, security, architecture, data, and operations teams.

How we’ll support you

Training and development to help you excel in your career
Coaching and support from experts in your team
A culture of continuous learning to aid progression
A range of flexible benefits that you can tailor to suit your needs

About us and our teams

Please visit our company website for further information:

https://www.db.com/company/company.html

We 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.

This GCP Full-Stack Data & AI Engineer, AS vacancy is based in Pune.

GCP Full-Stack Data & AI Engineer, AS

Deutsche Bank — Pune, PUNE

Job Description

Job Description:

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