Site Reliability Engineer in United

We are partnering with a company that build a platform that helps contact centers resolve more requests, proactively identify issues, and improve agent performance with AI-powered conversation intelligence and AI agents that act like your best reps. They are looking for a Site Reliability Engineer to join a team that builds - not just supports - an AI- platform, and they own exciting domains like platform and harness engineering, site reliability, cloud infrastructure, CI/CD, DevEx, observability, incident management, and COGS (e.g. cloud spend visibility). They want an SRE that has opinions about how these domains should work and wants agency in shaping where they go.

• 6+ years’ experience in software development enablement roles. \n

• Solid experience owning CI/CD platforms end to end - including domains like caching, architecture, and developer self-service. \n

• Effective use of AI tools such as Claude and Cursor for coding, troubleshooting, and reasoning. You pair these skills with a defensible opinion on where to avoid using AI tools. \n

• Familiarity with Node/TypeScript including making code changes (e.g. exposing new metrics), Python and Terraform for automation, and developing in a Kubernetes/Helm ecosystem. \n

• Practical experience with observability: logs/metrics/tracing, monitoring/alerting, incident management process, and tooling., * Experience working in fully remote teams - tell us how you’ve made one work better.

Their stack is TypeScript/Node and Python running on Kubernetes - primarily on GCP, with GitLab CI, Helm, Terraform, Datadog, Prometheus, and Grafana.

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Unfortunately, no sponsorship now or in the future is provided for this role

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What You’ll Do

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• Contribute to patterns, design, and implementation of our domains; help shape the future of platform engineering. \n

• Build and improve systems that help reduce toil and enable the company’s production infrastructure to remain available and operable under large-scale, real-time conversational AI traffic. \n

• Extend and iterate our agent harness: Unsupervised AI agents are currently used by about 10% of the dev team - help us grow that number. The agent harness includes CI, sandboxes, guardrails, and validation (e.g. agent-first eval loops). \n

• Own and improve our CI/CD pipelines and surrounding developer tooling: build and test performance, deployment ergonomics, and paved paths for new services. \n

• Participate in on-call rotation and incident management to ensure platform uptime and quality. (SRE owns the base infrastructure, not the applications; non-business-hours pages are rare) \n

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