2 hours ago
Base Salary
$160k - $300k/yr
Responsibilities
- Set the technical direction for infrastructure spanning databases, search and retrieval, data processing, asynchronous execution, and cloud architecture.
- Redesign search and retrieval systems for fast investigation across billions of pieces of content.
- Evolve relational database architecture through sharding, partitioning, indexing, caching, and new data-access patterns.
- Lead application and infrastructure changes for safe live-system migrations, including service topology and deployment strategy.
- Design scalable asynchronous systems for scheduling, queues, workflows, retries, backpressure, rate limiting, and failure recovery.
- Build high-volume ingestion, streaming, batch-processing, enrichment, and reprocessing infrastructure.
- Develop shared infrastructure services, APIs, libraries, and primitives for product engineers.
- Own cloud foundations including compute, storage, networking, isolation, resource management, and deployment architecture.
- Make build-versus-buy and architecture tradeoffs across latency, throughput, consistency, durability, cost, and complexity.
- Operate production systems, automate recurring operational work, write technical proposals, establish architectural standards, and guide engineers through complex systems decisions.
Requirements
- Experience operating at staff scope by 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 major 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 knowledge of scheduling, ordering, retries, idempotency, backpressure, and partial failure.
- Experience with large-scale search and retrieval systems and the 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 cloud infrastructure when compute, storage, networking, or deployment architecture changes are needed to scale data systems.
- Experience growing and leading infrastructure teams is valuable as the function scales.
Benefits
- For employees in New York, an in-person work arrangement five days per week with flexibility as needed from a Brooklyn waterfront office.
- 100% company-paid medical, dental, and vision insurance for employees.
- Flexible paid time off.
- Annual company retreats and regular in-person events.
Categories
About Outtake
The internet went agentic. Legacy defense broke. The world’s top companies trust Outtake’s Digital Trust Platform to protect their brands, executives, and products from AI-driven threats like deepfakes, phishing, fake domains, cloned apps, malicious ads, dark web activity, and more. Outtake’s fleet of million of agents detect, investigate, and take down threats in just hours.