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Outtake

Software Engineer, Infrastructure

New York City$160k–$300kfulltimemidAdded today

About this role

Outtake seeks a staff-level infrastructure engineer to design and build foundational systems handling billions of pieces of content. You'll own the technical direction for databases, search, data processing, and cloud architecture while mentoring a growing infrastructure team.

What you'll do

  • Set technical direction for 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, and caching strategies
  • Design and build scalable asynchronous systems for scheduling, queues, workflows, and failure recovery
  • Develop shared infrastructure services, APIs, and primitives for product engineers
  • Operate systems and use production evidence to improve architecture and automation

What they're looking for

  • Distributed systems design and implementation
  • Relational database architecture and optimization
  • High-throughput asynchronous systems and messaging
  • Large-scale search and retrieval systems
  • Data ingestion and batch/stream processing
  • Cloud infrastructure (compute, storage, networking)
  • System migration and deployment strategy
  • Technical leadership and architectural decision-making
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Outtake

Outtake builds an AI-driven platform focused on combating digital impersonation, fraud, and security threats through innovative cloud infrastructure solutions. The company is hiring Software Engineers across full-stack, platform, and security specializations, along with Sales Engineers who bridge technical expertise and customer relationships.

View all jobs at Outtake

Likely interview questions

  • Describe a time you redesigned a critical system to handle a significant increase in data volume or traffic—what was your approach and what tradeoffs did you evaluate?
  • How would you approach designing a search system that needs to handle billions of pieces of content with low latency?
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