Senior Software Engineer, AI Data Systems & Database Infrastructure

about 4 hours ago

Foster City, CA, USASenior

H1B Sponsor

Base Salary

$168k - $205k/yr

Responsibilities

Design, build, and operate scalable database infrastructure for mission-critical production and AI systems.
Scale relational, analytical, and vector data stores to support growing 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.
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.

7+ years of industry experience in database infrastructure, backend infrastructure, distributed systems, or production platform engineering.
Deep hands-on experience operating and scaling production databases in high-availability environments.
Strong experience with relational databases such as PostgreSQL, MySQL, Aurora, CockroachDB, Vitess, or similar systems.
Experience with analytical data stores such as ClickHouse, BigQuery, Snowflake, Redshift, Druid, Pinot, or similar technologies.
Experience with vector databases or vector search systems such as pgvector, Pinecone, Milvus, OpenSearch, or similar systems.
Strong understanding of partitioning, sharding, replication, indexing, caching, query planning, and storage engine tradeoffs.
Proven ability to optimize systems for low latency, high availability, reliability, and operational simplicity.
Strong programming skills, ideally in Python, C++, Go, or similar languages.
Experience with cloud infrastructure, Kubernetes, Terraform, CI/CD, and infrastructure-as-code practices.
Ability to collaborate effectively with backend, AI, product, security, and infrastructure teams.

Regular Full-time employees receive stock options for the opportunity to share ownership in the success of our company.
Comprehensive health + welfare package including Medical, Dental, Vision, Life, EAP, Legal Services, and 401k plan.
Flexible time off to rest and recharge, including Winter Break.
The latest tech and awesome swag will be delivered to your door.
Opportunities to connect with co-workers through various activities.