Site Reliability Engineer (AI)

Location: United Kingdom; primarily remote with occasional visits to the Bristol or London office

Company

hirify.global provides cloud communications and collaboration technology, including Voice/Unified Communications services and AI-powered capabilities.

What you will do

• Operate and improve production environments, monitoring availability, system health, capacity, performance, and failure modes.
• Build software, automation, and infrastructure systems for distributed cloud applications and services.
• Develop observability across infrastructure, applications, communications telemetry, and AI-service metrics.
• Improve the reliability of Voice/UC platforms, including signaling, media flows, call quality, latency, jitter, packet loss, failover, and end-to-end availability.
• Partner with development, Voice/UC, and AI engineering teams on testing, releases, production readiness, and AI-enabled communications capabilities.
• Design recovery procedures, graceful degradation, dependency isolation, retry and fallback patterns, and automated validation.

Requirements

• Bachelor's degree in computer science or another technical or scientific discipline, or equivalent practical experience.
• 4–7 years of experience in production operations, systems engineering, SRE/DevOps, CI/CD, software deployment, and production-system maintenance.
• Experience with Agile, DevOps, CI/CD pipelines, infrastructure automation, monitoring, observability, distributed systems, cloud infrastructure, containers, and Kubernetes.
• Experience with distributed storage such as NFS, HDFS, S3, or comparable cloud storage technologies.
• Hands-on troubleshooting across Linux, applications, networks, APIs, and distributed service dependencies.
• Working knowledge of Voice/UC or real-time communications concepts, plus experience using metrics, logs, traces, and service-level indicators to diagnose production issues.

Nice to have

• Experience supporting or integrating AI-enabled services, APIs, or workflows.
• Familiarity with speech and voice AI, machine-learning services, or LLM-based applications.

Culture & Benefits

• Primarily remote work with occasional office visits in Bristol or London.
• Teamwork, transparency, accountability, and cross-functional collaboration.
• Opportunities to work on cloud communications, real-time systems, and AI-enabled services.
• Full-time employment with an equal-opportunity and inclusive workplace.

Hiring process

• Application submission.
• Application review.
• Interview followed by the hiring decision.