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Job Description & How to Apply Below
You'll work with MySQL SQL Server, Mongo
DB, and modern cloud-native databases (Aurora, Cloud SQL), supporting solutions that support billions of transactions annually.
You'll drive automation through infrastructure-as-code, develop AI-powered database health monitoring systems, and implement intelligent backup and disaster recovery strategies. Your expertise will enable Billtrust GCC to deliver world-class database reliability while pioneering autonomous database management through agentic technologies.
Experience:
5
-9 Years
Location:
Hyderabad
Key Responsibilities
Design, implement, and maintain high-availability and disaster recovery architectures for MySQL, SQL Server, and Mongo
DB databases
Develop and execute database performance tuning strategies, query optimization, and workload analysis
Implement infrastructure-as-code for database provisioning using Terraform and Ansible
Engineer autonomous database health monitoring agents and agentic backup validation systems
Establish backup, restore, and recovery automation using cloud-native tools
Create and maintain operational runbooks for database failover, capacity planning, and incident response
Implement database-as-code practices and schema migration automation
Monitor and optimize database metrics using AI Ops and Datadog dashboards
Collaborate with application teams on database design, indexing strategies, and performance requirements
Work with the US database engineering team to support & implement roadmap
Required Qualification
Experience & Technical Background
5+ years of hands-on experience as a Database Administrator or Database Reliability Engineer
Expert-level proficiency with MySQL, SQL Server, or Mongo
DB (at least one to expert level)
Strong experience with cloud-native databases (Amazon Aurora, AWS RDS, Mongo
DB Atlas)
Demonstrated expertise in backup, restore, disaster recovery, and high-availability architectures
Strong background in infrastructure-as-code using Terraform, Cloud Formation, or Ansible
Experience with monitoring platforms (Datadog, Grafana, Prometheus) and observability practices
Proficiency with Linux/Unix and shell scripting for automation
Hands-on experience with cloud platforms (AWS, Azure, or GCP)
Proficiency using Claude Code, Github Copilot or similar AI coding assistance
Soft Skills & Attributes
Strong problem-solving skills with methodical approach to troubleshooting complex database issues
Excellent communication skills to collaborate across teams and explain technical concepts
Proactive mindset focused on automation and toil reduction
Detail-oriented with strong focus on reliability and data integrity
Commitment to continuous learning and staying current with database technologies
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