{"id":1544257,"url":"https://alion.io/job/deutsche-bank-gcp-full-stack-data-ai-engineer-as","title":"GCP Full-Stack Data & AI Engineer, AS","company":{"id":8385,"name":"Deutsche Bank","domain":"db.com","url":"https://alion.io/company/deutsche-bank","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":290,"ghost_share":0.007,"stale_share":0.703,"repost_share":0.059,"time_to_fill_p50_days":20,"computed_at":"2026-10-13T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":38000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":27},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Angular","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Firestore","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"JavaScript","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"Embeddings","optional":true},{"name":"Gemini","optional":true},{"name":"Google ADK","optional":true},{"name":"IAM","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"OWASP","optional":true},{"name":"Postman","optional":true},{"name":"Pytest","optional":true}],"status":"live","first_seen_at":"2026-09-30T21:54:26Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-13T17:34:59Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Job Description:\nJob Title: GCP Full-Stack Data & AI Engineer, AS\nLocation: Pune, India\nRole Description:\nAs 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.\nWhat we’ll offer you\nAs part of our flexible scheme, here are just some of the benefits that you’ll enjoy\nBest in class leave policy.\nGender neutral parental leaves\n100% reimbursement under childcare assistance benefit (gender neutral)\nSponsorship for Industry relevant certifications and education\nEmployee Assistance Program for you and your family members\nComprehensive Hospitalization Insurance for you and your dependents\nAccident and Term life Insurance\nComplementary Health screening for 35 yrs. and above\nYour key responsibilities:\nYou will contribute to end-to-end delivery across the following areas, taking ownership of assigned solutions while collaborating with technical leads and partner teams:\nFull-Stack Application & API Engineering:\nTranslate business and user needs into technical designs, estimates, delivery plans, and production-ready solutions.\nDevelop accessible web interfaces, Python services, and well-documented REST APIs; integrate them with enterprise systems, data stores, event streams, and third-party services.\nEmbed authentication, authorization, validation, error handling, auditability, and automated testing throughout the application lifecycle.\nData & AI Engineering:\nBuild and optimize batch and streaming pipelines and analytical or operational data models on Google Cloud.\nIntegrate RAG, conversational AI, and agentic workflows into enterprise applications, with measurable evaluation for quality, safety, latency, and cost.\nEnforce data quality, lineage, governance, privacy, access control, and responsible AI requirements.\nInfrastructure & Operations:\nProvision secure, reusable cloud environments and delivery pipelines for frontend, backend, data, and AI components.\nOwn production readiness, deployment, rollback, observability, autoscaling, disaster recovery, runbooks, and support handover.\nMonitor reliability, performance, security, user experience, and cloud cost; resolve cross-stack incidents through root-cause analysis and corrective action.\nContribute to architecture decisions, technical documentation, engineering standards, and knowledge sharing.\nYour skills and experience\nMandatory Engineering Skills:\nExperience: 6-10 years of hands-on software engineering experience delivering enterprise applications and data-intensive systems in production.\nCore Languages: Advanced proficiency in Python, SQL, and JavaScript or TypeScript, supported by clean-code practices, data structures, object-oriented design, and software design patterns.\nFrontend: Production experience with React or Angular, including component architecture, state management, routing, responsive design, accessibility, browser security, and performance optimization.\nBackend & APIs: Strong experience with FastAPI, Flask, and the design, integration, documentation, versioning, and support of REST APIs.\nGoogle 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.\nDevOps 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.\nPreferred 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.\nAdvanced Technical & Design Expertise: Candidates should demonstrate practical experience delivering secure, scalable, and supportable solutions across the following areas.\nArchitecture: Design modular solutions spanning user interfaces, services, event-driven components, data stores, AI capabilities, and external integrations, balancing scalability, maintainability, reliability, and cost.\nSecurity: Apply OAuth 2.0, OpenID Connect, JWT, IAM, API gateways, CORS, rate limiting, secrets management, input validation, and OWASP-aligned practices.\nQuality 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.\nOperations & Reliability: Implement observability, autoscaling, SLOs/SLIs, incident response, capacity planning, and resilience using Google Cloud Operations.\nData Engineering: Apply data modelling, batch and streaming design, orchestration, data quality, lineage, governance, query optimization, and secure publishing practices.\nGenerative & 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.\nTechnical 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.\nHow we’ll support you\nTraining and development to help you excel in your career\nCoaching and support from experts in your team\nA culture of continuous learning to aid progression\nA range of flexible benefits that you can tailor to suit your needs\nAbout us and our teams\nPlease visit our company website for further information:\nhttps://www.db.com/company/company.html\nWe 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.\nTogether we share and celebrate the successes of our people. Together we are Deutsche Bank Group.\nWe welcome applications from all people and promote a positive, fair and inclusive work environment.","description_format":"text","description_chars":6364,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Life insurance","Parental leave"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-30T21:54:26Z"}],"visa":[],"liveness":{"score":50,"band":"ok","label":"Likely open","p_open":1,"p_active":0.561,"p_room":0.9,"age_days":12,"expected_fill_days":20,"reasons":["conf:22","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/deutsche-bank-gcp-full-stack-data-ai-engineer-as","json_url":"https://alion.io/job/deutsche-bank-gcp-full-stack-data-ai-engineer-as.json","meta":{"generated_at":"2026-10-13T18:08:24Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":27710,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":8385},"rest":"https://alion.io/mcp/rest/get_company?id=8385"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdeutsche-bank-gcp-full-stack-data-ai-engineer-as"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdeutsche-bank-gcp-full-stack-data-ai-engineer-as"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdeutsche-bank-gcp-full-stack-data-ai-engineer-as"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/deutsche-bank-gcp-full-stack-data-ai-engineer-as\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdeutsche-bank-gcp-full-stack-data-ai-engineer-as"}]}