Data Reliability Engineer

IXOPAY is the enterprise-grade global payment infrastructure platform built for the era of agentic commerce. The Data Reliability Engineer will help build and operate resilient data platforms, ensuring mission-critical data systems are secure, highly available, and scalable.

Responsibilities:

• 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
• 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
• Monitor 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
• 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
• 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:

• 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
• 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