Senior Manager Software Engineering-DataOps/MLOps/AIOps/DevOps
Chennai, Tamil Nadu, India
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Adopt AI Ops capabilities for proactive monitoring anomaly detection and incident correlation
- Apply SRE principles SLIs SLOs and resilience engineering
- Collaborate with data scientists product teams architects and stakeholders
- Define data governance model governance security privacy and compliance standards
- Design and scale cloud native data platforms
- Drive automation to improve MTTR reliability and operational efficiency
- Ensure enterprise platform security and regulatory compliance
- Establish DevOps practices CI CD infrastructure as code and release management
- Implement ML Ops best practices across model lifecycle
- Integrate observability signals logs metrics traces events
- Lead data engineering ML engineering platform engineering DevOps and AI Ops strategy
- Lead talent development hiring and organizational design
Perks/Benefits
Skills/Tech-stack
Amazon Web Services | Anomaly Detection | Apache Flink | Apache Kafka | Apache Spark | CI/CD | Cause analysis | Cloud platform | CloudFormation | Data Engineering | Data Governance | Docker | Google Cloud | Google Cloud Platform | Grafana | Incident Management | Infrastructure as Code | Kubeflow | Kubernetes | MLflow | Machine Learning | Microsoft Azure | Model Governance | Observability | Observability pipelines | OpenTelemetry | Privac | Prometheus | Resilience Engineering | Root Cause Analysis | Root cause | SLI | SLO | SRE | Security Compliance | Streaming | Terraform | Web Services | “as-code”
Education
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