7+ years as an Infrastructure Engineer or working in a similar function
Define and own the target architecture and engineering strategy for modern database platforms across the enterprise
Establish reference architectures, design patterns, and standards for document (CockroachDB), in-memory (Redis) platforms
Ensure architecture aligns with hybrid, multi-cloud, and sovereignty considerations
Lead the creation of API-driven, self-service database platforms that abstract complexity from application teams
Define and implement, service catalogs, golden deployment patterns, standardized provisioning workflows, reusable automation frameworks
Drive adoption of Infrastructure as Code and platform-as-a-product principles
Ensure the platform delivers, consistent developer experience, rapid provisioning, standardized configurations, built-in governance and controls
Architect database services for enterprise-grade resilience, including multi-region/multi-site high availability, failover and disaster recovery strategies, backup/restore frameworks
Lead performance engineering, including sharding and partitioning strategies, caching patterns (e.g., Redis integration), workload isolation and scaling models
Define and enforce SLOs/SLAs and reliability benchmarks
Introduce proactive capacity planning and performance optimization models
Ensure deep integration with core infrastructure layers network (segmentation, routing, load balancing), compute (VM, bare metal, container orchestration), storage (block, file, object; performance tiers)
Partner with infrastructure and cloud teams to optimize deployment models, standardize connectivity and security patterns, enable Kubernetes/operator-based database management
Desired Qualifications:
Experience leading platform engineering or internal developer platform initiatives
Experience in financial services or regulated enterprise environments
Experience with Kubernetes operators for databases
Knowledge of multi-cloud architectures and data sovereignty models
Experience with observability platforms (Prometheus, Grafana, Splunk, etc.)
Exposure to data governance and enterprise data architecture frameworks