Senior Site Reliability Engineer

Senior Site Reliability Engineer Location

Remote

Full time

Remote

Engineering;
Site Reliability

September 14, 2026 at 5:00 AM GMT+1

At Replicant, we believe AI should work for people, starting with customer service. That's why we built 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.

Our AI agents handle millions of calls every month for Fortune 500 companies and high-growth innovators. From processing payments to booking appointments and authenticating users, they help customers get what they need instantly, 24/7. Meanwhile, our real-time conversation insights help contact center leaders coach better and improve every interaction.

We are leading the shift from legacy systems to AI-first service, powered by large language models (LLMs) and designed for enterprise scale, security, and empathy. If you're excited by the potential of LLMs, voice AI, and building category-defining technology with a kind, ambitious team, you'll love it here.

Our SRE team builds - not just supports - an AI-native platform, and they own exciting domains like platform and harness engineering, site reliability, cloud infrastructure, CI/CD, Dev Ex, observability, incident management, and COGS (e.g. cloud spend visibility). We're looking for a Site Reliability Engineer who has opinions about how these domains should work and wants agency in shaping where they go.

If you are energized by enabling teams to succeed through systems- and patterns-level work, come build Replicant's platform with us!

• Contribute to patterns, design, and implementation of our domains; help shape the future of platform engineering at Replicant.
• Build and improve systems that help reduce toil and enable Replicant’s production infrastructure to remain available and operable under large-scale, real-time conversational AI traffic.
• 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).
• Own and improve our CI/CD pipelines and surrounding developer tooling: build and test performance, deployment ergonomics, and paved paths for new services.
• 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)

• 6+ years' experience in software development enablement roles.
• Solid experience owning CI/CD platforms end to end - including domains like caching, architecture, and developer self-service.
• 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.
• Familiarity with Node/Type Script including making code changes (e.g. exposing new metrics), Python and Terraform for automation, and developing in a Kubernetes/Helm ecosystem.
• 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.
• Bonus:
• Harness engineering experience - building platforms for autonomous agents.
• Production-at-scale experience with GCP.
• Telephony and SIP architectures, Free SWITCH in particular.

Our stack is Type Script/Node and Python running on Kubernetes - primarily on GCP (we are multi-cloud), with Git Lab CI, Helm, Terraform, Datadog, Prometheus, and Grafana.

In-person…