FBS Cloud Platform Engineer

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 and automate workflows to reduce manual effort and improve reliability
• Develop internal tools and scripts (Python/Bash) to enable production support teams to manage their own database instances and environments safely; develop scripts for routine operational tasks such as backups, health checks, etc.
• Integrate advanced observability platforms (Dynatrace, CloudWatch) with AIOps tools to establish SLOs and train models for anomaly detection and proactive forecasting of database degradation such as predicting slow queries or imminent connection‑pool exhaustion
• 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) including latency, throughput, error rates and connection pools; develop and train predictive ML models to analyze historical telemetry, forecast potential system outages or performance bottlenecks and configure proactive monitoring and alerting for critical services
• 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; conduct disaster‑recovery planning and drills
• Execute backup strategies, validate recovery procedures using Rubrik and perform restores as needed
• Work closely with application operations/production support teams to troubleshoot issues on the database layer (performance, locks, schema) and the platform layer (multi‑cloud, middleware, network, resource limits) to identify root causes
• Lead incident response and root‑cause analysis (RCA) for database outages, performance degradations and data‑integrity issues; collaborate with DBAs and application teams for RCA
• Implement AI tools to perform real‑time root‑cause analysis, correlate complex event data (logs, metrics) and auto‑generate runbooks
• Define and automate scaling strategies (read replicas, sharding, auto‑scaling) based on predicted load and business growth; provide input for capacity planning and resource optimization
• Implement cost‑management policies, including rightsizing instances, managing storage tiers and defining lifecycle rules for backups and snapshots
• Proactively analyze query performance, index usage and database configuration; automate changes to optimize throughput and reduce latency; support DBA teams in performance‑tuning initiatives
• Implement robust secrets‑management solutions (AWS Secrets Manager, HashiCorp Vault) for database credentials to ensure applications retrieve secrets securely at runtime
• Ensure database environments meet regulatory requirements (PCI, HIPAA, GDPR) through encryption‑at‑rest and in‑transit, audit logging and automated compliance checks
• Define and enforce least‑privilege access policies (IAM roles, service accounts) for databases; implement encryption and data‑masking policies as directed
• Manage security and compliance by utilizing AI agents to detect configuration drift and auto‑generate compliant updates for IAM, network and security policies
• Apply patches and perform upgrades in coordination with DBA teams; validate post‑upgrade functionality and compliance

Qualifications and Experience

• 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 (advanced, 7+ years)
• Hands‑on experience with Informatica PowerCenter, PowerBI, Cognos, Sapiens, Alteryx, IDMC, ILM, SAS, BusinessObjects, Glue, SPSS, ODI (advanced, 7+ years)
• Proficiency in scripting languages (Python, Bash) (advanced, 7+ years)

Compensation and 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
• Private Health Insurance
• Pension Plan
• Paid Time Off
• Training & Development