Job Title: GCP Full-Stack Data & AI Engineer
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: 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 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.
Skills Required
- 6–10 years of hands-on software engineering experience delivering enterprise applications and data-intensive production systems
- Advanced proficiency in Python and SQL
- Proficiency in JavaScript or TypeScript
- Production experience with React or Angular
- Strong experience with FastAPI, Flask, and REST API design and support
- Hands-on experience with Cloud Run, BigQuery, Cloud Storage, and Secret Manager
- Working knowledge of Cloud Composer or Apache Airflow, Pub/Sub, Cloud SQL, Firestore, and Memorystore
- Proficiency with Git, Docker, Terraform, Artifact Registry, Cloud Build, and CI/CD practices
- Experience with automated API, integration, UI, security, and performance testing
- Experience designing modular, secure, scalable, and supportable cloud-native solutions
- Experience with OAuth 2.0, OpenID Connect, JWT, IAM, API gateways, CORS, rate limiting, secrets management, and OWASP practices
- Hands-on API testing with Postman and automated testing with tools such as Pytest
- Experience implementing observability, autoscaling, SLOs, SLIs, incident response, capacity planning, and resilience using Google Cloud Operations
- Experience with data modeling, batch and streaming design, orchestration, data quality, lineage, governance, query optimization, and secure data publishing
- Experience building and evaluating RAG, conversational AI, or agent solutions using Gemini, embeddings, vector databases, Dialogflow CX, CX Agent Studio, or Google ADK
- Experience with technical leadership, design reviews, code reviews, reusable standards, and mentoring
Deutsche Bank Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Deutsche Bank and has not been reviewed or approved by Deutsche Bank.
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Healthcare Strength — Health coverage is positioned as comprehensive, spanning multiple medical plan options along with dental, vision, prescription coverage, life insurance, and disability protection.
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Leave & Time Off Breadth — Time away is described as generous, including annual leave, sick leave, public holidays, wellbeing leave, volunteering leave in some regions, and expanded bereavement leave in certain locations.
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Retirement Support — Retirement support is presented as a matched savings plan (401(k)), reinforcing longer-term financial security as part of the rewards package.
Deutsche Bank Insights
What We Do
At Deutsche Bank, we give original thinkers the space and support they need to shine. Merging local knowledge with global vision, in-depth insight with industry-leading digital expertise, if you’re an innovator by nature, we can help you to unleash your potential. We see things differently at Deutsche Bank – and we’re proud of our fresh perspective. Today, we’re driving growth through our strong client franchise, investing heavily in digital technologies, prioritising long-term success over short term gains, and serving society with ambition and integrity. Wherever your interests lie – in investment banking, trading, private wealth, asset management, retail banking - or many of the infrastructure functions that support them – you’ll discover resources, training and opportunities designed to keep you ahead of the curve. Intelligence has no boundaries: we welcome high-achieving, talented individuals from any background. If you’re full of imagination, enjoy solving problems and respond positively to complex challenges, discover a career to look forward to and join us!
