Senior Database Engineer

About the Role & Team

We are looking for a Senior Database Engineer to join our thriving Engineering team, to work cross-functionally across engineering, focusing on the architecture for optimal platform performance and be at the front lines, designing/administering databases, tackling database production issues and utilizing the latest and greatest cloud technologies. We’re looking for excited individuals who want to be immersed in our Cloud Native (K8) platforms. Using DevOps principles and orchestration with a focus on availability, reliability and durability.

About the Work

As a key member of our Database Engineering team dealing with Site Reliability you will:

• Evaluate current database architectures and suggest improvements to maintain performance and availability
• Work within agile scrum & kanban to foster Engineering and support efforts
• Support the engineering organization by responding to database outages, helping triage, and remediating any database-related issues
• Support the engineering organization by evaluating database schemas, partitions, views and queries, implementing changes to increase database performance
• Manage and maintain replication between databases, ensuring resilience and the ability to recover from faults (observability platform in place already)
• Product choice decisions, design methods, and modelling for AWS and GCP database direction
• DB architecture to support our business continuity plan, backups, compute, network and storage development, using Terraform to automate deployment/creation leveraging GitOps
• Build and develop a common database design architecture that can be easily replicated for new database installations
• Other duties as required

About You

• Ability to work with K8S operators. Specifically Zalando and CNPG
• Experience with Postgres, Kafka (other distributed event streaming systems), ETLs and CDC
• 5+ years of hands on Database Engineering (Postgres preferred)
• 5+ years working within an AWS or GCP cloud environment
• 3+ years of high-level programming experience in Python or Go
• Strong database monitoring experience
• Strong database architecture experience
• Strong Kubernetes production experience
• Experience working with applications requiring compliance audits
• Experience with production support issues, and how to remediate in a timely manner
• Experience building infrastructure as code via IaC