Database Reliability Engineer
Billtrust India Careers
| Company | Billtrust India Careers |
| Category | Engineering |
| Location | IN |
| Remote | — |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 3 Jun 2026 |
| Last verified | 12 Aug 2026 |
| Source | The employer's own careers page (company_site) |
Description
Billtrust is an AI-powered fintech company specializing in B2B accounts receivable and payment processing. This Database Reliability Engineer role is part of the Operations Engineering Center and focuses on ensuring reliability, performance, and scalability of mission-critical database infrastructure supporting billions of transactions annually.
What You'll Do
• Design, implement, and maintain high-availability and disaster recovery architectures for MySQL, SQL Server, and MongoDB 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 using AI capabilities
• Establish backup, restore, and recovery automation using cloud-native tools and develop operational runbooks for failover and incident response
What You Need
• 5+ years of hands-on experience as a Database Administrator or Database Reliability Engineer
• Expert-level proficiency with MySQL, SQL Server, or MongoDB (at least one to expert level)
• Strong experience with cloud-native databases (Amazon Aurora, AWS RDS, MongoDB Atlas)
• Demonstrated expertise in backup, restore, disaster recovery, and high-availability architectures
• Strong background in infrastructure-as-code using Terraform, CloudFormation, or Ansible
• Proficiency with Linux/Unix and shell scripting for automation
• Hands-on experience with cloud platforms (AWS, Azure, or GCP)
Nice to Have
• Proficiency using Claude Code, GitHub Copilot, or similar AI coding assistance
• Experience with monitoring platforms (Datadog, Grafana, Prometheus) and observability practices
• Experience developing AI-powered automation and autonomous agents for database operations
• Background in machine learning model development for anomaly detection