Data Reliability Engineer

About the role

We're looking for a Data Reliability Engineer to help build and operate the resilient data platforms that power IXOPAY's global payment infrastructure. In this hands-on engineering role, you'll combine software engineering, database expertise, and platform engineering to ensure our mission-critical data systems are secure, highly available, and built to scale.

Responsibilities

• Build reliable data platforms
• Design, build, and maintain automated frameworks for provisioning, scaling, upgrading, and managing database infrastructure across multiple database technologies.
• Develop infrastructure as code and automation that simplifies database lifecycle management, including backups, upgrades, cloud migrations, and disaster recovery.
• Contribute to the design and evolution of scalable, resilient data architectures that support IXOPAY's growing global platform.
• Improve availability and performance
• Define and maintain service level objectives (SLOs) and service level indicators (SLIs) for critical data platforms.
• Engineer automated recovery solutions that improve resilience against infrastructure failures, regional outages, and data integrity issues.
• Maintain database health, resource utilization, and application performance, proactively identifying opportunities to improve scalability and efficiency.
• Partner with Software Engineering teams to optimize queries, indexing strategies, and database performance across production workloads.
• Strengthen security and operations
• Implement security best practices including role-based access control (RBAC), encryption, auditing, and data governance standards.
• Lead incident response efforts for database-related production issues, performing root cause analyses and implementing long-term improvements that reduce operational risk.
• Develop and maintain operational documentation, runbooks, and automated processes that improve team efficiency and platform reliability.
• Automate and collaborate
• Build software and automation that reduces operational overhead and improves the consistency of database operations.
• Partner with Platform Engineering, Infrastructure, and Security teams to improve observability, operational readiness, and platform resilience.
• Participate in Agile planning, share technical expertise across the organization, and continuously improve engineering practices through automation and innovation.

Requirements

• Required Experience in Data Reliability Engineering, Database Engineering, Site Reliability Engineering, or a related infrastructure engineering role.
• Strong experience managing and optimizing enterprise-scale relational databases, including Microsoft SQL Server, PostgreSQL, and MySQL.
• Experience designing, operating, and scaling distributed NoSQL platforms, including Azure Cosmos DB.
• Proficiency with scripting and automation using Python, PowerShell, Bash, or similar languages.
• Experience implementing infrastructure as code using Terraform, OpenTofu, or comparable technologies.
• Strong understanding of observability practices, including monitoring, alerting, logging, and performance analysis using tools such as Prometheus, Grafana, or Azure Monitor.
• Experience supporting Linux and Windows Server environments, with a solid understanding of distributed systems, storage, and networking fundamentals.
• Strong analytical and troubleshooting skills, with experience resolving complex production issues in large-scale environments.

Preferred Experience

• Managing database workloads within Kubernetes environments.
• Experience working in highly regulated environments with compliance frameworks such as PCI DSS, SOC 2, or ISO 27001.
• Experience with analytical databases such as ClickHouse or other OLAP technologies.
• Experience contributing to open-source database or infrastructure projects.
• Cloud platform certifications or equivalent experience with Microsoft Azure and AWS.