Site Reliability Engineer Manager I

Remotedxb; Dubai; On-site; AED 300,000 - 520,000; Full time

Job summary

Stone, a technology and financial services company focused on the customer, seeks a seasoned database leader to guide teams and shape data strategy in a fast-paced environment.

You will own database architecture, drive performance and availability, and lead projects for data platform modernization and cloud migration, while collaborating with security to protect sensitive data across production platforms.

Qualifications

• Minimum 2 years of experience leading database or data infrastructure teams.
• Deep knowledge of relational database administration (SQL Server and PostgreSQL).
• Experience with distributed data platforms and NoSQL (MongoDB and DynamoDB).
• Mastery of cloud architecture (AWS and Azure).
• Experience with replication, sharding, cluster management, and high availability.
• Knowledge of data protection regulations such as LGPD, PCI-DSS, and BACEN.
• Experience with monitoring, logging, and observability tools (Grafana and DataDog).
• Ability to work autonomously in high-complexity environments.
• Strong technical and executive communication skills.
• Problem-solving skills and root cause analysis expertise.

Responsibilities

• Lead and manage teams of database specialists, including talent development and mentoring.
• Define and implement database architecture strategies aligned with business objectives.
• Manage performance, availability, and disaster recovery for critical production environments.
• Plan capacity, scalability, and data infrastructure cost optimization.
• Maintain backup, replication, and disaster recovery policies.
• Lead projects for data platform modernization and cloud migration.
• Develop indicators and metrics for data system health, performance, and reliability.
• Collaborate with information security areas to implement controls and protect sensitive data.
• Manage tuning, indexing, and query optimization routines in high-performance environments.
• Implement automation and monitoring solutions to increase operational efficiency.

Skills

Team leadership

Database architecture

Performance tuning

Cloud AWS/Azure

High availability

Data security & compliance

DevOps for DBs

English proficiency

Education

Degree in Computer Science / Software Engineering

Tools

SQL Server

PostgreSQL

MongoDB

DynamoDB

AWS

Azure

Grafana

DataDog

Job description

About the Company

Stone is a technology and financial services company focused on the customer. As the largest independent payment methods company in Brazil, Stone aims to transform the payments industry by serving Brazilian entrepreneurs and driving digital transformation.

Responsibilities

• Lead and manage teams of database specialists, including talent development and mentoring
• Define and implement database architecture strategies aligned with business objectives
• Manage performance, availability, and disaster recovery for critical production environments
• Plan capacity, scalability, and data infrastructure cost optimization
• Maintain backup, replication, and disaster recovery policies
• Lead projects for data platform modernization and cloud migration
• Develop indicators and metrics for data system health, performance, and reliability
• Collaborate with information security areas to implement controls and protect sensitive data
• Manage tuning, indexing, and query optimization routines in high-performance environments
• Implement automation and monitoring solutions to increase operational efficiency

Requirements

• Minimum 2 years of experience leading database or data infrastructure teams
• Deep knowledge of relational database administration (SQL Server and PostgreSQL)
• Experience with distributed data platforms and NoSQL (MongoDB and DynamoDB)
• Mastery of cloud architecture (AWS and Azure)
• Experience with replication, sharding, cluster management, and high availability
• Knowledge of data protection regulations such as LGPD, PCI-DSS, and BACEN
• Experience with monitoring, logging, and observability tools (Grafana and DataDog)
• Ability to work autonomously in high-complexity environments
• Strong technical and executive communication skills
• Problem-solving skills and root cause analysis expertise

Preferred Qualifications

• Previous experience in financial institutions or regulated companies
• Experience with AI and machine learning applied to data performance optimization
• Knowledge of DevOps practices and CI/CD pipelines for databases
• Advanced English proficiency
• Degree in Computer Science, Software Engineering, Information Systems, or related fields