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Lead Database Reliability Engineer (DBRE) - Small Business Technologies

H&R Block · Remote
RemoteFull-timeGeneralLead$117,700–$188,300/yr
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About the Lead Database Reliability Engineer Small Business role

Lead Database Reliability Engineer Small Business positions focus on delivering results in their domain. This page aggregates open Lead Database Reliability Engineer Small Business roles and what employers typically expect.

## About the Role The Lead Database Reliability Engineer (DBRE) is a senior technical leader responsible for ensuring the reliability, scalability, performance, and operational excellence of the organization’s data platforms. This role blends **deep database expertise (DBA discipline)** with **Site Reliability Engineering (SRE) principles**, focusing on automation, observability, resiliency, and operational maturity. The DBRE partners closely with platform, application, and data teams to ensure database systems are highly available, cost-efficient, and production-ready at scale. ### **Database Reliability & Operations** - Own end-to-end reliability of critical database systems (availability, performance, durability) - Define and maintain SLIs/SLOs for database services - Lead incident response and root cause analysis for database-related outages - Design and implement failover, replication, and disaster recovery strategies ### **Automation & SRE Practices** - Automate database provisioning, scaling, backups, and recovery processes - Implement Infrastructure-as-Code (IaC) and GitOps approaches for database environments - Drive reduction of manual operational work through tooling and self-service capabilities - Establish reliability engineering practices (error budgets, postmortems, continuous improvement) ### **Observability & Performance** - Build and maintain database observability (metrics, logs, traces) - Proactively monitor system health and performance bottlenecks - Optimize query performance, indexing strategies, and resource utilization - Establish capacity planning and forecasting models ### **Platform & Architecture** - Partner with platform engineering to standardize database patterns and tooling - Support cloud-native database architectures (managed services, distributed systems) - Evaluate and recommend database technologies and storage solutions - Ensure systems are designed for resilience, scalability, and cost efficiency ### **Data Protection & Resilience** - Own backup strategies, validation, and restore testing - Lead disaster recovery planning and execution readiness - Ensure data integrity, consistency, and compliance with governance standards ### **Cross-Functional Collaboration** - Work with engineering teams to improve data access patterns and reliability - Partner with security and compliance teams on data protection requirements - Influence application design to align with database reliability best practices - Mentor engineers on database performance and operational excellence ### **Leadership & Influence** - Act as the technical lead for database reliability across teams - Define standards, best practices, and operating models for DBRE - Lead cross-team initiatives to improve reliability and reduce systemic risk - Mentor senior engineers and contribute to talent development ## **Success Profile (First 6–12 Months)** - Database SLIs/SLOs defined and actively managed - Automated backup, recovery, and failover processes in place - Improved observability across critical data platforms - Reduction in database-related incidents and MTTR - Standardized database reliability practices adopted across teams ## ## Required Qualifications - 8–12+ years in database engineering, SRE, or infrastructure engineering - Hands-on experience with production-grade relational and/or NoSQL databases (e.g., PostgreSQL, MySQL, SQL Server, DynamoDB, etc.) - Experience operating systems at scale in cloud environments (AWS, Azure, or GCP) - Proven ownership of high-availability, mission-critical systems - Strong knowledge of: - Database internals, replication, and recovery mechanisms - Performance tuning and optimization techniques - Distributed systems and fault-tolerant architectures - Experience with: - Observability tools (Datadog, Prometheus, Grafana, etc.) - Automation tools (Terraform, Ansible, CI/CD pipelines) - Containerization and orchestration (Docker, Kubernetes) - Familiarity with data lifecycle management and storage…

Salary estimate

$117,700 – $188,300/yr
Provided by the employer.

Skills for this role

SQLPostgresqlMysqlAWSAzureGCPDockerKubernetesTerraformCi/CdLeadershipSecurityAutomation

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About H&R Block

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