Staff Site Reliability Engineer (AI)

TL;DR

Staff Site Reliability Engineer (AI): Leading AI enablement across the engineering organization, focusing on building and buying AI-native tools and practices for the software development lifecycle with an accent on AI-assisted code review, developer workflow automation, and security standards. Focus on measuring the impact of AI tooling on developer productivity, code quality, and delivery speed.

Location: Any location, United States

Salary: $150,000/year to $200,000/year

Company

hirify.global is the world's first Active Insurance provider designed to help prevent digital risk before it strikes.

What you will do

• Define and own the standards and best practices for AI-assisted development across the engineering organization.
• Evaluate, build, or adopt AI-powered tools that improve code quality and reduce review cycle times.
• Partner with engineering teams to understand what's impacting their AI tool adoption and guide them through improvements.
• Establish metrics and feedback loops to quantify the impact of AI tooling on developer productivity, code quality, and delivery speed.
• Contribute to the design and scaling of production environments using AWS and Terraform.
• Mentor engineers across the team and actively shape the best practices and standards used by the organization.

Requirements

• 8–10+ years of experience in SRE, DevOps, Cloud Engineering, Platform Engineering, or Software Development roles.
• Hands-on experience with AI-assisted development tools such as Cursor, GitHub Copilot, or similar.
• Experience building AI/LLM-powered developer tools or integrations.
• Demonstrated ability to drive org-wide tooling adoption, including change management, training, and measuring outcomes.
• Proficiency in Go or Python, with experience building production-grade automation, tooling, or libraries.
• Hands-on experience operating production environments in AWS and strong experience with Terraform.

Nice to have

• Experience troubleshooting complex distributed systems in a high-traffic production environment.
• Exposure to event streaming systems such as Kafka or Kinesis.
• Experience building Internal Developer Platforms (IDP) or designing self-service infrastructure workflows.
• Familiarity with systems security, compliance requirements, or infrastructure hardening.
• Experience with agentic AI workflows, MCP frameworks, or AI-powered automation beyond code generation.

Culture & Benefits

• 100% medical, dental and vision coverage.
• Flexible PTO policy.
• Annual home office stipend and WeWork access.
• Mental & physical health wellness programs.
• Competitive compensation and opportunity for advancement.
• Remote-first, highly inclusive culture that welcomes people from diverse backgrounds.