Senior Database Engineer III

Senior Database Engineer III (MySQL) – Production Reliability & Platform Engineering

Location : India (Remote/Hyderabad)

Work Timings: 2 PM to 11 PM IST

LivePerson (NASDAQ: LPSN) is a leader in trusted enterprise conversational AI and digital transformation. The world's leading brands use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing uniquely rich data analytics and safety tools to unlock the power of conversational AI for better business outcomes. Fast Company named LivePerson the #1 Most Innovative AI Company in the world.

Job Description: Senior MySQL Database Engineer - 8+ Years Experience.

Please apply only if you have 8 plus years of experience. Profiles with less than 8 years of experience will be rejected.

Position Overview:

We are seeking a Senior MySQL Database Engineer (L3) with 8+ years of experience managing large-scale production database environments. This role combines deep technical expertise with strategic thinking, focusing on production reliability, platform engineering, automation, and architectural evolution.

The ideal candidate will be a technical leader who can design scalable database solutions, mentor team members, drive automation initiatives, and own complex production systems. You will work with CloudSQL on GCP, lead migration projects, implement SRE best practices, and collaborate across engineering teams to ensure database reliability at scale.

This role includes participation in 24/7 on-call rotations to ensure continuous support for our critical MySQL infrastructure.

Responsibilities:

Production Reliability & Platform Engineering

• Own and architect high-availability MySQL database platforms supporting critical business systems.
• Design and implement multi-region replication strategies, disaster recovery architectures, and zero-downtime migration patterns.
• Lead incident response for critical database outages, coordinate cross-functional teams, and drive post-incident reviews.
• Define and track database SLIs/SLOs, establish reliability metrics, and implement continuous improvement programs.
• Drive capacity planning at scale, forecast growth patterns, and architect for horizontal and vertical scaling.
• Establish database standards, operational runbooks, and best practices across the organization.

Automation & Infrastructure as Code

• Lead automation initiatives to eliminate toil and improve operational efficiency.
• Design and implement database provisioning platforms using Terraform and configuration management tools.
• Build self-service workflows for database creation, schema migrations, and routine operations.
• Architect and implement GitOps-driven database deployments integrated with CI/CD pipelines.
• Develop custom tooling and automation frameworks for database operations (Python, Go, or Bash).
• Drive adoption of infrastructure as code practices across database teams.

Cloud & Hybrid Architecture

• Lead CloudSQL (GCP) operations at scale, including advanced configurations, HA setups, and cross-region deployments.
• Design and execute cloud migration strategies from on-premises to GCP (or hybrid architectures).
• Implement multi-cloud or hybrid-cloud database strategies where applicable.
• Optimize cloud costs through right-sizing, reserved instances, and architectural improvements.
• Work with GCP native services (Cloud Monitoring, Secret Manager, VPC, IAM) for secure and scalable deployments.

Performance Engineering & Optimization

• Lead performance engineering initiatives including query optimization, indexing strategies, and schema design reviews.
• Conduct advanced troubleshooting of complex performance issues across application and database layers.
• Perform deep-dive analysis using tools like pt-query-digest, Percona Toolkit, and performance_schema.
• Design database sharding and partitioning strategies for scalability.