Senior AI Software Engineer (Infrastructure)

TL;DR

Senior AI Software Engineer (Infrastructure): Designing and building intelligent automation systems to reduce toil and improve platform resilience for a global multi-region cloud platform with an accent on AI-driven operations and infrastructure automation. Focus on building AI agents for incident intelligence, automating sovereign cloud provisioning, and integrating LLM-powered workflows into CI/CD pipelines.

Location: Must be based in Seattle, WA; Atlanta, GA; Richardson, TX; or Sandy, UT

Company

hirify.global is a global leader in AI, cloud, and digital customer experience software, serving over 25,000 businesses including 85 of the Fortune 100.

What you will do

• Design end-to-end automation pipelines for cluster provisioning and AWS account bootstrapping in sovereign cloud regions such as UK, AU, EU, and FedRAMP.
• Develop an AI Ops Incident Intelligence Platform by building agents that surface signals from noise, identify failure patterns, and recommend remediations.
• Build AI-powered change risk scoring and automated rollback capabilities triggered by business-level signals integrated into the deployment pipeline.
• Implement Model Context Protocol (MCP) server integrations for AI agents to safely interact with ServiceNow, Jira, Confluence, and AWS APIs.
• Collaborate with SRE, Systems, Network, and Voice Engineering teams to identify high-toil workflows and translate them into automation candidates.

Requirements

• 5+ years of software engineering experience with a strong emphasis on backend systems, infrastructure automation, or platform engineering.
• Production-grade experience in Python or Go; comfort with TypeScript or Node.js is a plus.
• Deep expertise with AWS (IAM, EC2, EKS, RDS, Lambda, CloudWatch) and multi-account architectures.
• Hands-on experience building automation that interacts directly with REST or GraphQL APIs.
• Demonstrated ability to build AI-powered workflows using LLM APIs (Anthropic, OpenAI) covering prompt engineering, tool use, and agentic orchestration.
• Strong understanding of distributed systems, Kubernetes, and cloud-native observability (metrics, logs, traces).

hirify.global-to-have">hirify.global to have

• Experience with agentic AI frameworks such as LangGraph, CrewAI, AutoGen, AG2, Semantic Kernel, or Smolagents.
• Prior work in regulated or sovereign cloud environments (FedRAMP, IL4, UK G-Cloud, AU PROTECTED).
• Familiarity with Backstage developer portals and their integration with CI/CD pipelines.
• Experience with OpenObserve, Grafana, or Kafka in a production operations context.

Culture & Benefits

• Opportunity to work on mission-critical software impacting hundreds of engineers across a global multi-region cloud platform.
• Ambitious environment that encourages challenging limits and setting the highest standards of execution.
• Inclusive workplace as an equal opportunity employer.