AIOps Engineer, NCT
Deutsche Bank (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 12–22 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain AI operations automation, telemetry collection, incident analysis, and remediation solutions for enterprise AI platforms on Google Cloud.
- Build and support cloud-native AI services with ownership of CI/CD pipelines, infrastructure-as-code, observability, and production readiness.
- Collaborate with cross-functional teams to improve operational reliability, security, and compliance of AI platforms, while enabling L1/L2 support through runbooks and knowledge transfer.
Minimum Requirements
- Hands-on experience in cloud engineering, DevOps, SRE, MLOps, or production engineering with automation and troubleshooting ownership.
- Practical knowledge of Google Cloud Platform including GKE/Kubernetes, Cloud Run, IAM, VPC networking, storage, logging, and monitoring.
- Experience with Terraform, GitHub Actions (or equivalent CI/CD tools), Docker, Python programming, shell scripting, SQL, REST APIs, and Linux troubleshooting.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced with AI/ML and Generative AI applications including model APIs, prompt patterns, agent workflows, and evaluation.
- Understands responsible AI, data protection, security best practices, least privilege access, vulnerability management, and controlled remediation controls.
- Familiar with regulated industry environments (such as banking) and able to translate compliance requirements into engineering solutions.