About Us
Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.
About You
As our Staff Database Engineer you will transition our data layer from growth-optimized foundations to enterprise-grade reliability. You will be the primary authority for operational excellence and performance integrity at the data layer, defining replication models, scale strategies, and latency-critical boundaries.
Core Mandate
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Stabilize & Scale: Protect uptime SLAs and maintain performance predictability as tenant growth compounds.
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Govern & Secure: Retire compliance debt and introduce ISO-aligned operational rigor.
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Lead Transition: Move the organization from reactive performance tuning to intentional database engineering leadership.
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The "First Hire" Mindset: Experience being the first dedicated database engineer in a high-growth environment.
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PostgreSQL Mastery: Deep expertise in tuning, vacuuming strategies, and managing multi-tenant relational schemas.
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Distributed Systems Knowledge: Strong understanding of MongoDB scaling and Azure Storage lifecycles.
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Reliability Focused: Proven track record of managing SLA-backed systems where downtime has real-world consequences.
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Compliance Fluent: Experience operating within ISO or SOC 2 frameworks.
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Collaborative Leader: Ability to mentor teams on data best practices without becoming
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AI-Ready Data Performance: Establish a resilient, AI-capable data architecture supporting dynamic/exploratory queries, transactional integrity, tenant isolation, and SLA-backed reliability.
Required Skills
- 6–8+ years operating production relational databases
- Deep PostgreSQL expertise (replication, indexing, tuning, upgrades)
- Expert-level SQL and execution plan analysis
- Strong UNIX systems knowledge
- Strong proficiency in at least one programming language (Python preferred)
- Proficiency in shell scripting (Bash or similar)
- Experience troubleshooting at OS + database boundary
- Experience supporting SLA-backed production systems
- Multi-tenant database design experience
- Backup, HA, and disaster recovery implementation experience
- Experience in ISO/SOC2 or compliance-aware environments
- Cloud-native database operations (Azure preferred)
- Experience designing multi-region read/write strategies
- MongoDB deep performance tuning
- Data lifecycle automation (archiving, pruning, tiering)
- CDC pipelines or event streaming familiarity
- Experience supporting AI/ML workloads
- Experience formalizing database governance practices
- Architect and optimize PostgreSQL and MongoDB to support LLM-generated and dynamically composed queries without compromising transactional performance or SLA commitments.
- Design isolation and workload-segmentation strategies (replicas, caching, materialized views, routing) to protect production systems from exploratory, reporting, or AI-driven query impact.
- Own measurable improvements in multi-faceted reporting and data retrieval latency across operational, analytical, and AI-powered use cases.
