Senior Software Engineer (Legal AI)

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.