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updated 1 month ago

Senior Software Engineer (Legal AI)

126 000 - 190 000$
Work format
remote (only USA)/hybrid
Work type
fulltime
Grade
senior
English
b2
Country
US
This vacancy is from Hirify.Global listVacancy from Hirify Global, list of international tech companies
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Job description

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TL;DR
Senior Software Engineer (Legal AI): Designing, developing, and operating distributed full-stack cloud services, backend services, and data pipelines for AI-powered legal data solutions at petabyte scale with an accent on reliability, security, performance, and cloud-native architecture. Focus on diagnosing complex distributed-systems failures, leading incident response and root-cause analysis, and improving engineering quality through technical direction, design reviews, and mentorship.

Location: Illinois, United States; hybrid/remote arrangement. U.S. citizenship is required for Public Trust clearance eligibility.

Salary: $126,000–$190,000 annually, plus performance bonus and long-term incentives.

Company

hirify.global builds AI-powered cloud software that helps law firms, corporations, and government agencies organize, analyze, and manage complex legal data.

What you will do

  • Design, develop, and operate distributed, scalable, secure full-stack cloud services at petabyte scale.
  • Build backend services and data pipelines for AI-powered legal data solutions.
  • Collaborate with engineering and product partners to solve complex technical problems.
  • Troubleshoot production issues and conduct root-cause analysis.
  • Lead reliability efforts, incident response, on-call participation, and service ownership.
  • Provide technical direction and mentorship while leading design and code reviews.

Requirements

  • U.S. citizenship and successful acquisition and maintenance of a Public Trust clearance are required.
  • 5+ years of experience designing, building, and operating cloud-native systems.
  • Strong understanding of cloud-native development, distributed architectures, replication, partitioning, and CAP/PACELC trade-offs.
  • Experience with CI/CD, observability, incident response, and end-to-end delivery of complex solutions.
  • Ability to diagnose issues including data skew, hot spots, clock skew, and split-brain scenarios.
  • Strong cross-functional communication and collaboration skills.

Nice to have

  • Experience building high-scale or regulated systems.
  • Performance tuning and scalability trade-off experience.
  • Familiarity with AI development tools such as GitHub Copilot, Cursor, or Claude Code.
  • Knowledge of storage engine internals, including LSM trees, B-trees, compaction, and write amplification.
  • Familiarity with FedRAMP compliance frameworks.

Culture & Benefits

  • Engineering culture focused on continuous delivery, observability, and end-to-end ownership.
  • Exposure across distributed systems and AI-enabled workflows.
  • Health and retirement programs, wellness resources, and discretionary time off.
  • Parental leave, two annual company breaks, home office stipend, and equity program.
  • Volunteer opportunities and company-sponsored charitable programs.

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