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Outtake is building an agentic AI platform that detects, monitors, and removes impersonators and fraud at scale. Founded by ex-Palantir, ex-CTO/founders, and ex-Notion engineers, the company is backed by top-tier investors and focused on becoming the trust layer of the modern internet.
You will join as a Staff-level infrastructure generalist, setting the technical direction for Outtake's infrastructure and building systems to support orders of magnitude of growth. This role begins as an individual contributor position; as the infrastructure function scales, there will be opportunity to grow and lead infrastructure teams.
Outtake processes billions of pieces of content and needs to search, investigate, and act on this data quickly. You will own the foundations determining how data is stored, indexed, retrieved, and moved; how asynchronous work is scheduled and executed; and how systems use cloud compute, storage, and networking.
Key responsibilities include:
- Set technical direction for infrastructure across databases, search and retrieval, data processing, asynchronous execution, and cloud architecture
- Redesign search and retrieval systems to support fast investigation across billions of content pieces
- Evolve relational database architecture through sharding, partitioning, indexing, caching, and new data-access patterns
- Own application and infrastructure changes required to migrate live systems safely
- Design and build scalable asynchronous systems for scheduling, queues, workflows, retries, backpressure, rate limiting, and failure recovery
- Build data infrastructure for high-volume ingestion, streaming, batch processing, enrichment, and reprocessing
- Develop shared infrastructure services, APIs, libraries, and primitives for product engineers
- Own cloud foundations including compute, storage, networking, isolation, resource management, and deployment architecture
- Evaluate build-versus-buy decisions and make tradeoffs across latency, throughput, consistency, durability, cost, and complexity
- Work across engineering teams to identify repeated infrastructure problems and turn them into reusable systems
- Operate systems you build, use production evidence to improve architecture, and automate operational work
- Write technical proposals, establish architectural standards, and guide engineers through complex systems decisions
The company offers 100% company-paid medical, dental, and vision; flexible PTO; and works from a waterfront office in Brooklyn with 5 days/week in-person collaboration.
REQUIREMENTS:
- Experience operating at staff scope: identifying important technical problems, setting direction across team boundaries, and leading complex projects from design through adoption
- Track record of designing and building distributed infrastructure systems used by other engineers or products
- Experience scaling production systems through significant increases in data volume, traffic, or workload complexity
- Deep knowledge of relational database architecture, including data modeling, access patterns, indexing, partitioning, sharding, caching, and migration
- Experience building or evolving high-throughput asynchronous systems, with strong understanding of scheduling, ordering, retries, idempotency, backpressure, and partial failure
- Experience with large-scale search and retrieval systems, including tradeoffs among lexical search, vector retrieval, indexing speed, freshness, relevance, and cost
- Experience building ingestion, streaming, or batch-processing systems for large data volumes
- Ability to work across underlying cloud infrastructure when changes to compute, storage, networking, or deployment architecture are required to scale data systems
