{"id":3603221,"url":"https://alion.io/job/deutsche-bank-aiops-engineer-nct","title":"AIOps Engineer, NCT","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":"B","score":79,"open_postings":240,"ghost_share":0.017,"stale_share":0.771,"repost_share":0.042,"time_to_fill_p50_days":33,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":null,"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":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AIOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google GKE","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false},{"name":"OpenTelemetry","optional":true},{"name":"ServiceNow","optional":true}],"status":"closed","first_seen_at":"2026-11-02T10:29:55Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-07T01:56:54Z","board_verified":false,"closed_at":"2026-11-07T01:56:54Z","days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"Job Description:\nJob Title: AIOps Engineer, NCT\nLocation: Pune, India\nCorporate Title: NCT\nRole Description\nDeutsche Bank’s Strategy & Innovation Engineering team is part of the TDI Chief Strategy & Innovation Office. The team partners with business and CIO teams to evaluate emerging technologies, build and operate reusable AI capabilities, and enable safe, responsible AI adoption across the bank.\nAs an AIOps Engineer within the India engineering and operations team, you will develop automation and improve the reliability, observability and operational readiness of enterprise AI platforms, shared AI services and agent-based solutions. This hands-on Associate role combines cloud engineering, DevOps/MLOps and production support with AI-assisted incident analysis and controlled remediation. You will collaborate with application, platform, architecture, security and governance teams to turn operational challenges into reusable engineering solutions.\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\nBuild and maintain reusable AIOps capabilities for telemetry collection, alert correlation, incident context enrichment, root-cause analysis and operational automation.\nEngineer and support cloud-native AI services on Google Cloud Platform, using GKE, Cloud Run, Vertex AI, storage, messaging and approved enterprise integrations within agreed ownership boundaries.\nDevelop CI/CD pipelines and reusable infrastructure-as-code modules using GitHub Actions, Terraform and container tooling, with testing, security checks and controlled releases.\nImplement logs, metrics, traces, dashboards, health checks and service-level indicators to improve service visibility and reduce alert noise.\nDevelop AI-assisted diagnostic and runbook workflows, integrating operational knowledge and incident history; evaluate output accuracy and retain human review for consequential decisions.\nImplement policy-bound remediation through approved pipelines, with least-privilege identities, approval gates, rollback, failure safeguards and traceable action records.\nContribute to production incident investigation and engineering fixes; enable L1/L2 support through runbooks, diagnostic guidance, knowledge transfer and clear escalation paths.\nImprove production readiness through capacity and performance analysis, recovery testing, monitoring, support handovers and release/change documentation.\nEmbed applicable security, data protection and AI controls into engineering workflows; support vulnerability remediation and maintain evidence with designated control owners.\nAutomate onboarding, service-management integration and routine operational tasks; measure improvements in detection and resolution time, manual effort, service reliability and cost.\nDocument reusable patterns and contribute to proofs of concept, technical reviews and continuous improvement with global engineering and support teams.\nYour skills and experience\nHands-on experience in cloud engineering, DevOps, SRE, MLOps or production engineering, with practical ownership of automation and troubleshooting tasks.\nPractical Google Cloud Platform knowledge, including GKE/Kubernetes, Cloud Run, IAM, VPC networking, Cloud Storage, Cloud Logging and Cloud Monitoring.\nExperience with Terraform, Git, GitHub Actions or equivalent CI/CD tooling, Docker and secure software delivery practices.\nStrong Python programming skills, with working knowledge of shell scripting, SQL, REST APIs and Linux troubleshooting.\nExperience implementing observability, analysing logs and metrics, investigating incidents and creating operational dashboards and runbooks.\nWorking knowledge of AI/ML and Generative AI applications, including model APIs, prompt and inference patterns, retrieval-augmented generation, agent workflows and evaluation.\nUnderstanding of least privilege, workload identity, secrets management, network security, vulnerability management and auditable change practices.\nUnderstanding of responsible AI, data protection, traceability and human oversight, with the ability to translate control requirements into practical engineering actions.\nStrong analytical and problem-solving skills, clear written and verbal communication, and effective collaboration across distributed technical and control teams.\nPreferred experience and qualifications: Experience with Vertex AI, OpenTelemetry, ServiceNow integrations, agent frameworks, model/agent evaluation or controlled remediation is an advantage. A bachelor’s or master’s degree in computer science, engineering or an equivalent discipline is desirable. Relevant Google Cloud, Kubernetes, DevOps/SRE or AI/ML certifications and experience in banking or another regulated industry are advantageous.\nProven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.\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":6153,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"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":"2026-11-02T10:29:55Z"},{"event":"close","at":"2026-11-07T01:56:54Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/deutsche-bank-aiops-engineer-nct","json_url":"https://alion.io/job/deutsche-bank-aiops-engineer-nct.json","meta":{"generated_at":"2026-11-09T16:42:37Z","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":24488,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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-aiops-engineer-nct"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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-aiops-engineer-nct"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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-aiops-engineer-nct"},{"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-aiops-engineer-nct\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdeutsche-bank-aiops-engineer-nct"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3603221}},{"tool":"search_jobs","arguments":{"company":"db.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3603221},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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