At Dream, we redefine cyber defense vision by combining AI and human expertise to create products that protect nations and critical infrastructure. This is more than a job; it’s a Dream job. Dream is where we tackle real-world challenges, redefine AI and security, and make the digital world safer. Let’s build something extraordinary together.

Dream's AI cybersecurity platform applies a new, out-of-the-ordinary, multi-layered approach, covering endless and evolving security challenges across the entire infrastructure of the most critical and sensitive networks. Central to our Dream's proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity.

At Dream, our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers.

It starts with you - an engineer driven to operate database systems at the highest level of reliability and performance. You care about query latency, uptime, data durability, and getting paged as little as possible. You’ll operate, tune, and scale the database engines that serve the platform - from PostgreSQL to Elasticsearch, Redis to vector databases, across cloud and on-prem environments.

If you want to run the databases that power mission-critical AI at national scale, join Dream’s mission - this role is for you.

• Operate and maintain database systems - PostgreSQL, Elasticsearch, Redis, MongoDB, vector databases, and others across cloud and on-prem.
• Own database reliability - high availability configurations, replication, failover automation, and SLA adherence.
• Drive performance tuning - query optimization, index design, configuration tuning, and resource profiling to meet latency and throughput targets.
• Execute operational procedures - backup/recovery, disaster recovery testing, upgrades, migrations, and capacity scaling.
• Lead incident response for database issues - troubleshooting production problems, root cause analysis, and implementing preventive measures.
• Build monitoring and alerting - dashboards, metrics collection, slow query analysis, and proactive capacity alerts.
• Enable new capabilities - deploying and tuning vector databases for AI workloads, evaluating new database technologies.
• Collaborate with Data Platform, Data Engineering, Engineering, and Security teams on database operations and best practices.
• Uphold database SLAs that support retrieval paths, feature stores, and embedding durability; coordinate safe schema evolution, partitioning, and replay/backfill practices.
• Expose catalog and lineage signals - ownership, change history, and impact analysis - to improve trust and safe consumption for downstream users.
• Collaborate with Data Platform, Data Engineering, Engineering, Security, Product, AI/ML, Data Science, and Analytics to balance performance, durability, and evolution across workloads.

• 6+ years in database administration, database engineering, or storage infrastructure, with hands-on experience operating databases at scale.
• Relational databases - PostgreSQL, MySQL; replication (streaming, logical), partitioning, connection pooling (PgBouncer), vacuum tuning, query plan analysis
• Document & search engines - Elasticsearch, OpenSearch, MongoDB; cluster operations, shard management, index lifecycle, query optimization
• Caching & key-value stores - Redis, DynamoDB, ScyllaDB; cluster modes, persistence options, eviction policies, memory optimization
• Vector databases - Milvus, Qdrant, pgvector; index types (HNSW, IVF), similarity search tuning, embedding storage
• Operations & reliability - Backup strategies, point-in-time recovery, disaster recovery, high availability configurations, failover testing
• Performance tuning - Query optimization, index design, configuration tuning, resource profiling, slow query analysis
• Monitoring & observability - Database metrics, alerting, capacity dashboards, performance trending

If you think this role doesn't fully match your skills but are eager to grow and break glass ceilings, we’d love to hear from you!