Site Reliability Engineer

At Signal AI, we use cutting-edge AI technology to offer clarity on decisions that shape businesses and society. We value restless curiosity, creative thinking, and diverse perspectives as we strive to become AI-native. We believe that AI is a collaborator, not just a tool, and we invite passionate individuals to join us on our journey as we continue to learn, experiment, and grow together. We're hiring an SRE to help us run and evolve the infrastructure behind Signal AI's decision intelligence platform. You'd be joining a small, collaborative Infrastructure team at a moment when the work is genuinely changing shape. Over the last year we've hardened the platform, reduced cost, and built serious observability into our highest-volume systems. The next year is about scaling that work, absorbing infrastructure from a recent acquisition, and being thoughtful about how AI shows up in operational work: not as a gimmick, but as a tool we trust ourselves to use well. We're looking for someone who wants to shape the direction of the team; someone who brings curiosity and care to the work, and who wants to leave things meaningfully better than they found them. What we've shipped recently - Cut ~$50k/year off our Elasticsearch bill by migrating compute to more efficient chips. (Apr 2026) - Built the foundation for our MCP server platform: leveraging and contributing to open-source tooling to give the whole company extensible, production-grade AI integrations. (2025–2026) - Rebuilt production from scratch in a full DR gameday. End-to-end restore validated across our multi-account AWS setup. (Jan 2026) What we're working on next - AI-augmented operations: Claude Enterprise is deployed across Signal. We want this team to help define what good looks like for SRE: incident triage, runbook generation, capacity planning, cost analysis. This is a strategic investment, not a side project: and we'd love someone genuinely curious about what these tools can and can't do. - Security in the age of AI The threat landscape has shifted. Supply chain security is more at threat than ever, and powerful models are emerging that promise to change how the industry thinks about security. We're looking for someone interested in thinking seriously about what actually matters to protect now. - Acquisition integration: Bringing a recently acquired product's infrastructure under our reliability, security, and operational standards. A substantial, multi-quarter piece of work with real technical and organisational complexity, and plenty of room to make your mark. - Batch workload consolidation: Moving disparate batch jobs onto EKS for unified scheduling, cost visibility, and operational tooling. Your first six months We want to set you up to thrive. Here's what that looks like in practice: - Month 1: You're onboarded across our AWS estate, Terraform, and observability stack. You've completed your first on-call shift with support from the team, landed your first PR in the DevOps repo, and started working Claude Enterprise into your daily flow. - Month 3: You're owning a workstream end-to-end. You've led the SRE response to at least one production incident and hosted your first post-mortem. You’ve surfaced a real opportunity that you've pushed to a measurable result. - Month 6: You're driving a multi-quarter workstream with clear direction, and you're contributing insights to our AI-in-operations playbook: including where Claude adds real leverage and where it doesn't. What we’re looking for You have solid AWS and Terraform experience, and you're comfortable writing Python or Go to solve operational problems. You think in distributed systems: failure modes, observability, blast radius: and you take problems end-to-end rather than stopping at the edges of your own work. You're pragmatic about AI tooling. Not evangelical, not dismissive. You can tell us when you'd reach for an LLM and when you wouldn't, and you'd have a clear reason either way. You communicate openly and