Cloud Platform Engineer designing and implementing cloud-native database infrastructure and automation. Collaborating with teams to enhance database management and operational efficiency in a hybrid environment.
Responsibilities
Design and implement cloud-native database infrastructure using Terraform /Ansible to provision managed DB instances in multi-clouds (RDS/Azure DB /Cloud SQL) and self-managed clusters
Automate Configuration Management, security hardening, and patching of database instances across all environments.
Develop internal tools and scripts (Python/Bash) to enable production support teams to manage their own database instances and environments safely.
Integrate advanced observability platforms (Dynatrace, CloudWatch) with AIOps tools to establish SLOs and train models for anomaly detection and proactive forecasting of database degradation.
Design, deploy, and govern AI-powered agents (using Azure Copilot /AWS Bedrock) to achieve autonomous self-healing capabilities and automated resource management.
Implement advanced monitoring (CloudWatch, Dynatrace) for key database metrics (SLIs/SLOs).
Respond to alerts and create self-healing actions based on alerts.
Design and implement cross-region/multi-AZ replication, automated failover strategies, and point-in-time recovery (PITR) procedures for mission-critical databases.
Execute backup strategies and validate recovery procedures using Rubrik and Perform restores as needed.
Work closely with application operations / Production support teams to troubleshoot issues.
Requirements
8+ years of experience in Oracle / DB2 /MSSQL/Snowflake/PostgreSQL and MySQL administration, with a strong focus on AIOps integration.
5+ years of experience in public cloud operations (AWS, Azure, GCP).
Deep, demonstrable expertise designing and operationalizing solutions leveraging AWS Bedrock/Agent Frameworks and Azure Copilot for DB Operations.
Expertise in Infrastructure as Code (Terraform, CloudFormation), Ansible, and CI/CD pipelines, including supervising AI-generated infrastructure artifacts.
Expertise integrating observability platforms into AI/ML platforms for predictive analysis and anomaly detection.
Hands-On experience on Informatica PowerCenter / PowerBI /Cognos /Sapiens /Alteryx/IDMC/ILM/SAS / BusinessObjects / Glue / SPSS /ODI is a plus.
Proficiency in scripting languages (Python, Bash) - Advanced (7+ Years)
Benefits
Competitive salary and performance-based bonuses
Comprehensive benefits package
Career development and training opportunities
Flexible work arrangements (remote and/or office-based)
Dynamic and inclusive work culture within a globally renowned group
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