Senior Software Engineer, AI Data Systems & Database Infrastructure
Tasks
- Build automation and tooling for provisioning migrations monitoring backups failover capacity planning
- Build low latency data serving patterns
- Design scalable database infrastructure
- Design scalable reliable performant data access patterns
- Enforce best practices for schema design and operational safety
- Evolve long term data platform strategy
- Identify production bottlenecks and drive improvements
- Improve database performance across latency throughput availability reliability durability cost
- Operate tier 0 data services
- Own database architecture decisions
- Scale relational analytical and vector data stores
- Support AI data infrastructure for embeddings vector search and retrieval workflows
Perks/Benefits
- 401k plan
- Dental insurance
- EAP
- Flexible time off
- Health insurance
- Legal services
- Life insurance
- Professional Swag
- Stock options
- Vision insurance
Skills/Tech-stack
Alerting | Analytical Databases | Aurora | BigQuery | C++ | CI/CD | Caching | Capacity Planning | Cassandra | ClickHouse | CockroachDB | Disaster Recovery | DynamoDB | Go | High Availability | Incident Response | Indexing | Infrastructure as Code | Kafka | Kubernetes | Memcached | Milvus | Monitoring | MySQL | Observability | OpenAI | OpenSearch | PGVector | Partitioning | Pinecone | PostgreSQL | Python | Query Optimization | Redis | Redshift | Relational databases | Replication | SLOs | Sharding | Snowflake | Terraform | Vector Databases | Vector Search | Vitess | “as-code”
Education
N/A
Regions
Countries
States
Cities
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