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Disco

Cloud-based e-discovery platform powered by AI

Senior Software Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Demonstrable experience and passion for backend development.
  • Proficiency in designing and architecting microservices systems, including distributed data management and event-driven architectures.
  • Skill in designing and operating containerised software hosted in a cloud provider such as AWS, Azure, or GCP.
  • Experience with cloud-based data storage, including relational databases, NoSQL stores, or data caches.
  • Experience writing strongly typed languages in the Java family, such as Java, Scala, or Kotlin.
  • Legal authorization to work in the United Kingdom without sponsorship, now or in the future.

Responsibilities

  • Own complex technical work end to end by breaking down ambiguous problems, making deliberate trade-off decisions, and shipping code that improves customer outcomes.
  • Contribute to architectural design and monitor the broader health of the systems worked on.
  • Raise issues in requirements, design, or code before they become problems.
  • Support other engineers through code review, pairing, and helping less experienced engineers grow.
  • Collaborate with engineers in the UK hub and colleagues based in India and the US.
  • Use AI tooling throughout the engineering lifecycle while taking responsibility for the services the team ships and runs in production.

Desired Qualifications

  • Experience with petabyte-scale, high-availability software systems.
  • Experience writing software for regulated industries.

About the Company

Disco

Cloud-based e-discovery platform powered by AI

DISCO provides a cloud-based e-discovery platform for legal teams, including law firms, corporate legal departments, and government agencies. It helps identify, collect, and produce electronically stored information for legal cases. The platform uses artificial intelligence to speed up and improve the accuracy of document reviews and supports internal investigations, complex litigation, and FOIA requests. It uses a flat-rate pricing model based on data volume (gigabytes), which makes costs predictable, and runs on AWS for data security and 24/7 access. It emphasizes ease of use, scalability, secure data sharing, and access to dedicated e-discovery professionals. Overall, its goal is to give legal teams a secure, scalable tool that handles large data sets efficiently without surprise costs.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Austin, TX
Founded
2013

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