Remote opportunity at
XplorSenior Site Reliability Engineer
Xplor provides vertical software, embedded payments, and artificial intelligence tools tailored for industries such as fitness, recreation, club management, field services, laundry, and education. The organization…
Career Tools
About This Role
Xplor provides vertical software, embedded payments, and artificial intelligence tools tailored for industries such as fitness, recreation, club management, field services, laundry, and education. The organization is seeking a Senior Site Reliability Engineer to join the AI Engineering division, which builds shared agent foundations including the model gateway, runtime, retrieval mechanisms, guardrails, and cost management systems. This role focuses on maintaining production stability for complex artificial intelligence workloads, managing cloud…
Job Description
Xplor provides vertical software, embedded payments, and artificial intelligence tools tailored for industries such as fitness, recreation, club management, field services, laundry, and education. The organization is seeking a Senior Site Reliability Engineer to join the AI Engineering division, which builds shared agent foundations including the model gateway, runtime, retrieval mechanisms, guardrails, and cost management systems.
This role focuses on maintaining production stability for complex artificial intelligence workloads, managing cloud infrastructure, and establishing reliable operational patterns for multi-tenant systems. The position suits a practitioner experienced in platform reliability, infrastructure as code, and data storage operations who wants to shape production practices for modern workloads.
The engineering stack utilizes Amazon Web Services including ECS on Fargate, Aurora PostgreSQL with pgvector, ElastiCache Redis, CloudFront, Route 53, and Amazon Bedrock alongside other model providers. Infrastructure is managed via Terraform and delivered through Spacelift, with observability handled through Datadog, Coralogix, and OpenTelemetry, and delivery supported by GitHub Actions and Amazon ECR.
This is a full-time, fully remote position open to individuals based anywhere in the United States, excluding Hawaii and Alaska, with a preference for candidates residing in the Eastern or Central time zones. The annual base salary ranges from $150,000 to $200,000 USD.
Responsibilities
- Establish service level objectives and error budgets for agent application programming interfaces, streaming data, and background processing.
- Manage Amazon Web Services infrastructure using Terraform delivered via Spacelift.
- Configure observability platforms using Datadog, Coralogix, and OpenTelemetry to track metrics including token consumption and latency.
- Ensure data store resilience through verified backup and recovery procedures, failover mechanisms, and disaster recovery targets.
- Implement resilience at the model layer by managing provider failovers, rate limits, and safe deployment pipelines.
- Enforce multi-tenant load protections through tenant isolation, quotas, and circuit breakers.
- Partner with security teams to address artificial intelligence risks aligned with the Open Worldwide Application Security Project Top 10 for Large Language Model Applications.
- Direct incident response efforts, conduct blame-free post-incident reviews, and participate in rotation-based on-call duties.
Requirements
- Possess at least seven years of professional experience in site reliability engineering, DevOps, or platform engineering running multi-tenant software as a service in production.
- Demonstrate strong proficiency with Amazon Web Services and infrastructure as code using Terraform through tools like Spacelift, Terraform Cloud, or Atlantis.
- Show experience establishing service level objective alerts and observability platforms using tools like Datadog and OpenTelemetry.
- Bring a history of leading incident resolution calmly and translating reviews into permanent solutions.
- Exhibit hands-on operational experience with PostgreSQL including backups, point-in-time recovery, performance tuning, and database upgrades.
- Maintain production-grade coding abilities suited for automation and tooling.
- Hold a least-privilege mindset and a disciplined approach toward utilizing artificial intelligence utilities.
Qualifications
- Demonstrate prior experience running large language models or artificial intelligence workloads in production environments.
- Show familiarity with utilizing artificial intelligence agents to automate operational duties such as incident triage or runbook execution.
- Have professional exposure operating within regulated frameworks including SOC 2 or compliance standards like PCI DSS.
- Bring knowledge of Amazon Bedrock quotas, inference profiles, policy as code, artificial intelligence security tooling, or multi-region data residency requirements.
Core Skills
Benefits
- Paid parental leave programs
- Three extra days off annually for community volunteering and social impact initiatives
- Ongoing participation in diversity and inclusion initiatives, including a dedicated council and global mentorship program
- Access to complimentary mental health support resources
- Flexible working arrangements
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, this is a fully remote role open to candidates residing in the United States, excluding Hawaii and Alaska, with a preference for applicants in the Eastern or Central time zones.
What is the salary range for this job?
The annual base salary for this position ranges from $150,000 to $200,000 USD.
What is the employment type?
This is a full-time position.
How do I apply for this position?
Candidates must submit a resume through the careers portal or external job boards, and include the word 'moonshot' at the top of the message to the hiring manager.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.