Database Engineering Lead
KAST is a stablecoin-powered financial platform for storing, earning, moving, and spending digital dollars globally.
Funding history
Investors
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About KAST
KAST provides stablecoin-enabled financial services including global USD and EUR accounts, transfers, yield products, and Visa payment cards accepted worldwide. It operates through licensed financial partners and is explicitly described by its official site as a financial technology company rather than a bank.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own the design, architecture, and evolution of database systems supporting production microservices. You will optimize PostgreSQL on AWS Aurora, establish database standards, improve reliability and disaster recovery, implement caching strategies, and mentor engineers.
Requirements
- 7+ years of experience in database engineering, database architecture, or backend infrastructure
- Expertise in PostgreSQL performance tuning, indexing, transactions, and replication
- Experience managing and optimizing AWS Aurora databases for high-traffic transactional environments
- Experience designing database architectures for microservices
- SQL and data modeling skills
- Understanding of distributed systems, scalability, and high availability
- Experience collaborating with backend engineering teams
- Experience with Redis or similar caching technologies
- Ability to drive technical decisions across multiple teams
Responsibilities
- Own the architecture, design, and maintenance of database systems across production services
- Design scalable schemas, data models, indexing strategies, and database architecture for PostgreSQL on AWS Aurora
- Lead database performance optimization, query tuning, and capacity planning
- Define database development, migration, versioning, and operational best practices
- Review schema changes with backend engineers
- Design highly available, resilient, and secure database infrastructure on AWS
- Drive database reliability, backup, disaster recovery, and replication strategies
- Evaluate database technologies and recommend architectural improvements
- Design and implement Redis caching strategies
- Mentor engineers and establish database engineering standards