Were looking for an experienced, hands-on Database Reliability Engineering (DBRE) Team Leader to head our core DBRE team. In this role, youll be responsible for the reliability, scalability, and performance of our large-scale database infrastructure and data platforms, while leading and mentoring a team of DBREs.
Youll bring together strong technical expertise and people leadership, defining the vision and standards for database reliability, guiding architectural and system design decisions, and driving operational excellence across our production environments.
In your day-to-day, you will:
Lead, mentor, and grow a team of DBREs, providing technical guidance and career development
Define and drive the teams roadmap for database reliability, availability, scalability, and cost efficiency
Own hundreds of production database clusters (MySQL, MongoDB, etc.) at petabyte scale on Cloud platform
Oversee the design and optimization of data models, schemas, and database access patterns used by core services
Establish and promote best practices, standards, and methodologies for database design, operations, observability, and incident management
Collaborate with other Infra, Security, FinOps, and R&D teams to shape our databases strategy and long-term technology direction
Encourage the use of AI and ML-driven tools and analytics for anomaly detection, capacity forecasting, performance optimization and team dev velocity
Promote automation in database provisioning, configuration, and operations.
Youll bring together strong technical expertise and people leadership, defining the vision and standards for database reliability, guiding architectural and system design decisions, and driving operational excellence across our production environments.
In your day-to-day, you will:
Lead, mentor, and grow a team of DBREs, providing technical guidance and career development
Define and drive the teams roadmap for database reliability, availability, scalability, and cost efficiency
Own hundreds of production database clusters (MySQL, MongoDB, etc.) at petabyte scale on Cloud platform
Oversee the design and optimization of data models, schemas, and database access patterns used by core services
Establish and promote best practices, standards, and methodologies for database design, operations, observability, and incident management
Collaborate with other Infra, Security, FinOps, and R&D teams to shape our databases strategy and long-term technology direction
Encourage the use of AI and ML-driven tools and analytics for anomaly detection, capacity forecasting, performance optimization and team dev velocity
Promote automation in database provisioning, configuration, and operations.
Requirements:
10+ years of hands-on 24/7 production experience with MySQL, MongoDB, ElasticSearch and/or other RDBMS/NoSQL data stores
Proven team leadership or technical authority experience in large-scale database initiatives
Strong expertise in databases solution architecture, HA, backups, DR, and performance tuning
Practical experience with AWS and/or GCP data products and cloud-native architectures
Deep knowledge of Linux systems
Passion for automation and reliability engineering
Strong background with monitoring and observability tools and methodologies
Excellent communication and collaboration skills across multiple domains.
10+ years of hands-on 24/7 production experience with MySQL, MongoDB, ElasticSearch and/or other RDBMS/NoSQL data stores
Proven team leadership or technical authority experience in large-scale database initiatives
Strong expertise in databases solution architecture, HA, backups, DR, and performance tuning
Practical experience with AWS and/or GCP data products and cloud-native architectures
Deep knowledge of Linux systems
Passion for automation and reliability engineering
Strong background with monitoring and observability tools and methodologies
Excellent communication and collaboration skills across multiple domains.
This position is open to all candidates.
