Software Engineer, Infastructure

ABOUT OUTTAKE Outtake exists to empower and facilitate trust for a digital-first world. Today, impersonation, fraud, AI-driven scams, and identity abuse spread faster than any security team can respond to. So we built something different: an agentic AI platform that proactively detects, monitors, and takes down impersonators, automating protection in hours, not weeks.   Built by ex-Palantir, ex-CTO/founders, and ex-Notion engineers, Outtake is designed for clarity, autonomy, and velocity. Our goal is ambitious: become the trust layer of the modern internet. And we intend to do it with a lean, dense, exceptionally talented team.   Outtake is backed by top-tier investors and operators who believe in our mission and our model. With strong financial footing and a long runway, we prioritize creating an environment where people can do the best work of their careers. THE ROLE This is a staff-level infrastructure generalist role. You will set the technical direction of Outtake’s infrastructure and build the systems that support our next orders of magnitude of growth. The role begins as an individual contributor position; experience growing and leading infrastructure teams will be valuable as the function scales. Outtake needs to search, process, and investigate billions of pieces of content quickly. You will own the foundations that determine how this data is stored, indexed, retrieved, and moved; how asynchronous work is scheduled and executed; and how our systems use cloud compute, storage, and networking. This is a software engineering role. You will design and build production infrastructure systems, expose them through clear internal interfaces and abstractions, and lead the migrations required to adopt them.   WHAT YOU’LL DO - Set the technical direction for Outtake’s infrastructure across databases, search and retrieval, data processing, asynchronous execution, and cloud architecture - Redesign our search and retrieval systems to support fast investigation across billions of pieces of content - Evolve our relational database architecture through sharding, partitioning, indexing, caching, and new data-access patterns - Own the application and infrastructure changes required to migrate live systems safely, including changes to service topology and deployment strategy - 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 that product engineers can use without needing to understand the underlying implementation - Own the cloud foundations required by these systems, including compute, storage, networking, isolation, resource management, and deployment architecture - Evaluate build-versus-buy decisions and make tradeoffs across latency, throughput,…