# AIOps Engineer, NCT at Deutsche Bank

Deutsche Bank is hiring an AIOps Engineer, NCT in Pune, India. Level rates it Works on AI ●●●○; you can [apply on Deutsche Bank](https://jobsbylevel.com/go/dcba15ff-bfa8-42bf-8c0d-2804665d33de?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. Pune - Business Bay.

## Details

- Company: [Deutsche Bank](https://jobsbylevel.com/companies/deutsche-bank)
- AI level: AI Level 3 (score 65 out of 100)
- Location: Pune - Business Bay
- Posted: November 2, 2026
- Apply: https://jobsbylevel.com/go/dcba15ff-bfa8-42bf-8c0d-2804665d33de?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=aiops-engineer-nct-at-deutsche-bank-27e8ca

## Prepare for this job

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## Description

Job Description: Job Title: AIOps Engineer, NCT Location: Pune, India Corporate Title: NCT Role Description Deutsche 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. As 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. 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 Build and maintain reusable AIOps capabilities for telemetry collection, alert correlation, incident context enrichment, root-cause analysis and operational automation. Engineer 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. Develop CI/CD pipelines and reusable infrastructure-as-code modules using GitHub Actions, Terraform and container tooling, with testing, security checks and controlled releases. Implement logs, metrics, traces, dashboards, health checks and service-level indicators to improve service visibility and reduce alert noise. Develop AI-assisted diagnostic and runbook workflows, integrating operational knowledge and incident history; evaluate output accuracy and retain human review for consequential decisions. Implement policy-bound remediation through approved pipelines, with least-privilege identities, approval gates, rollback, failure safeguards and traceable action records. Contribute to production incident investigation and engineering fixes; enable L1/L2 support through runbooks, diagnostic guidance, knowledge transfer and clear escalation paths. Improve production readiness through capacity and performance analysis, recovery testing, monitoring, support handovers and release/change documentation. Embed applicable security, data protection and AI controls into engineering workflows; support vulnerability remediation and maintain evidence with designated control owners. Automate onboarding, service-management integration and routine operational tasks; measure improvements in detection and resolution time, manual effort, service reliability and cost. Document reusable patterns and contribute to proofs of concept, technical reviews and continuous improvement with global engineering and support teams. Your skills and experience Hands-on experience in cloud engineering, DevOps, SRE, MLOps or production engineering, with practical ownership of automation and troubleshooting tasks. Practical Google Cloud Platform knowledge, including GKE/Kubernetes, Cloud Run, IAM, VPC networking, Cloud Storage, Cloud Logging and Cloud Monitoring. Experience with Terraform, Git, GitHub Actions or equivalent CI/CD tooling, Docker and secure software delivery practices. Strong Python programming skills, with working knowledge of shell scripting, SQL, REST APIs and Linux troubleshooting. Experience implementing observability,

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