Senior Platform Engineer - AI Data & DB Infrastructure

Ambient.ai; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

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Job summary

Ambient.ai seeks a Senior Platform Engineer to design, build, and scale the database platform powering our AI systems. You will work at the intersection of databases, distributed systems, and AI infrastructure to scale relational, analytical, and vector stores and optimize latency, availability, and operational simplicity.

You will collaborate with AI and engineering teams, implement partitioning, sharding, and caching strategies, and help evolve our data platform while operating under

Qualifications

• 7+ years building and operating production database infrastructure.
• Experience with distributed systems and high-availability.
• Strong knowledge of partitioning, sharding, replication, and indexing.

Responsibilities

• Design, build, and operate scalable database infrastructure for mission-critical production and AI systems.
• Scale relational, analytical, and vector data stores to support product, customer, and AI workloads.
• Improve database performance across latency, throughput, availability, reliability, durability, and cost.
• Own database architecture decisions around partitioning, sharding, replication, indexing, caching, query optimization, and data modeling.
• Operate tier-0 data services with strong reliability, observability, incident response, and disaster recovery practices.
• Build automation and tooling to improve database provisioning, migrations, monitoring, backups, failover, and capacity planning.
• Partner with AI teams to support data infrastructure needs for embeddings, vector search, retrieval workflows, training data, model evaluation, and analytics.
• Build low-latency data-serving patterns that power AI features in production.
• Work closely with engineering teams to design data access patterns that are scalable, reliable, and performant.
• Identify bottlenecks in production systems and drive improvements across application, database, cache, and infrastructure layers.
• Define and enforce best practices for schema design, database usage, data lifecycle management, and operational safety.
• Help evolve our long-term data platform strategy as the company scales.

Skills

PostgreSQL

MySQL

CockroachDB

Vitess

ClickHouse

Vector databases

Redis caching

Python

Go

C++

Kubernetes

Terraform

CI/CD

APIs

Tools

OpenSearch

Milvus

Pgvector

Pinecone

Job description

Ambient.ai seeks a Senior Platform Engineer to design, build, and scale the database platform powering our AI systems. You will work at the intersection of databases, distributed systems, and AI infrastructure to scale relational, analytical, and vector stores and optimize latency, availability, and operational simplicity.

You will collaborate with AI and engineering teams, implement partitioning, sharding, and caching strategies, and help evolve our data platform while operating under