# Senior Site Reliability Engineer

**Company**: Xplor
**Location**: Remote, OR
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $150,000 to $200,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.smartrecruiters.com/Xplor/744000159905715-senior-site-reliability-engineer?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_84f7efdf-64d

## Description

Xplor Technologies powers the experiences at the heart of everyday life. Through modern vertical software, embedded payments, and AI-powered capabilities, we help businesses in fitness, recreation, golf and club, field services, laundry, education, and other membership-based and service-based industries simplify operations, uncover insights, and elevate customer and member experiences.

AI Engineering builds the shared agent platform behind Xplor's AI capabilities: the agent runtime, model gateway, retrieval, guardrails, evaluations, and cost controls. We build the hard parts once, so every product team can ship AI features faster and safely. We're looking for a hands-on Site Reliability Engineer to own how our agent platform behaves in production.

As a Senior Site Reliability Engineer, you will define SLOs and error budgets for agent APIs, streaming and background work, including quality signals like task success, tool-call failures and evaluation regressions, and alert on what matters to customers. You will own the platform's AWS infrastructure (ECS on Fargate, Aurora PostgreSQL, Redis and Amazon Bedrock) as Terraform delivered through Spacelift. You will build observability in Datadog and Coralogix with OpenTelemetry, including AI signals like token usage, provider latency and cost per task.

Your responsibilities will also include:

- Making data stores resilient, with tested backups and restores, failover, defined disaster recovery targets (RTO/RPO) and safe migrations.

- Building resilience into the model layer: provider failover, quota and rate-limit management, and safe rollout and rollback of model and prompt changes.

- Protecting the platform under multi-tenant load with per-tenant quotas, isolation and circuit breakers that stop runaway agents and runaway spend.

- Partnering with Security on operational controls for AI risks, including prompt injection, excessive agent permissions and unbounded consumption (OWASP Top 10 for LLM Applications).

- Setting the guardrails for AI agents that work on our infrastructure: what they can change, which actions need human approval, and how every action is audited.

- Working with Security and Privacy to keep model inference and customer data in the right regions for customers in Australia, New Zealand, the US, the UK and the EU.

- Leading incident response and blameless reviews, taking part in on-call, and running game days for the failures that matter most.

- Making deployments safe by default, and giving product teams simple, standard ways to run agent workloads.

- Tracking and reducing cloud and model spend.

The ideal candidate will have 7+ years in SRE, DevOps or platform engineering, running multi-tenant SaaS in production, strong AWS experience and Terraform at scale, and experience building SLO-based alerting and observability with Datadog or similar tools.

This position has an annual base salary range of $150,000 to $200,000 USD.

## Skills

### Required
- AWS
- Terraform
- Datadog
- PostgreSQL
- OpenTelemetry

### Nice to have
- LLM or AI workloads in production
- AI agents to automate operational work
- regulated environments such as SOC 2 or PCI DSS
- Amazon Bedrock quotas and inference profiles

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Source: [Apply at jobs.smartrecruiters.com](https://jobs.smartrecruiters.com/Xplor/744000159905715-senior-site-reliability-engineer?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)