Senior AI Platform Reliability Engineer - Remote

Xplor; Oregon; Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Paid Parental Leave

Volunteer days

Diversity & Inclusion initiatives

Mental health support

Flexible working arrangements

Job summary

Xplor is seeking a hands-on Site Reliability Engineer to own and scale our AI agent platform in production. You’ll manage multi-tenant AWS infrastructure, build robust observability, and define guardrails to keep costs and risks in check while enabling product teams to ship AI features safely.

The role is fully remote across the U.S. (excluding HI/AK) with a focus on reliability, scale, and cost control for AI workloads.

Qualifications

• 7+ years in SRE, DevOps or platform engineering in production
• Strong AWS experience and Terraform at scale (Spacelift/Terraform Cloud/Atlantis)
• Experience building SLO-based alerting and observability with Datadog and OpenTelemetry
• Track record leading incidents and driving post-incident fixes
• Hands-on PostgreSQL operations including backups and PITR
• Production-grade automation and tooling
• Least-privilege mindset for use of AI tools

Responsibilities

• Define SLOs and error budgets for agent APIs and background work
• Own AWS infrastructure (ECS on Fargate, Aurora PostgreSQL, Redis) via Terraform
• Build observability with Datadog, OpenTelemetry; monitor token usage and latency
• Ensure data stores are resilient with backups, DR targets, and safe migrations
• Implement guardrails and per-tenant quotas for multi-tenant safety
• Lead incident response and blameless reviews; participate in on-call
• Keep deployments safe by default and provide simple runbooks for teams
• Track and reduce cloud and model spend

Skills

SRE

DevOps

Platform engineering

AWS

Terraform

OpenTelemetry

Datadog

PostgreSQL

Incident response

Automation

Tools

Spacelift

Terraform

Terraform Cloud

Atlantis

PostgreSQL

Redis

Bedrock

Job description

Xplor is seeking a hands-on Site Reliability Engineer to own and scale our AI agent platform in production. You’ll manage multi-tenant AWS infrastructure, build robust observability, and define guardrails to keep costs and risks in check while enabling product teams to ship AI features safely.

The role is fully remote across the U.S. (excluding HI/AK) with a focus on reliability, scale, and cost control for AI workloads.