Senior Site Reliability Engineer

Xplor Technologies; United States; Remote; USD 150,000 - 200,000; Full time

Benefits offered by this job

Paid Parental Leave

Volunteer days

Diversity & Inclusion programs

Free mental health support

Flexible working

Job summary

Xplor Technologies seeks a hands-on Site Reliability Engineer to own the AI agent platform in production. You’ll define SLOs, manage AWS infrastructure, and build observability to improve reliability and cost efficiency across multi-tenant workloads.

You’ll lead on-call and incident reviews, implement guardrails for safety, and help product teams ship AI features faster with robust controls. This is a fully remote US role.

Qualifications

• 7+ years in SRE, DevOps or platform engineering for multi-tenant SaaS in production.
• Strong AWS experience and Terraform at scale (Spacelift, Terraform Cloud, Atlantis or similar).
• Experience building SLO-based alerting and observability with Datadog or similar tools, ideally with OpenTelemetry.
• A track record of leading incidents calmly and turning post-incident reviews into lasting fixes.
• Hands-on PostgreSQL operations: backups, point-in-time recovery, performance tuning and upgrades.
• Production-quality coding skills for automation and tooling.
• A least-privilege mindset and a disciplined approach to using AI tools.

Responsibilities

• Define SLOs and error budgets for agent APIs, streaming and background work, including quality signals and alerting.
• Own the platform's AWS infrastructure (ECS, Aurora PostgreSQL, Redis) as Terraform delivered through Spacelift.
• Build observability in Datadog and OpenTelemetry with AI signals like token usage and cost per task.
• Ensure data stores are resilient with tested backups, failover and disaster recovery targets.
• Build resilience into the model layer with provider failover, quota and safe rollout/rollback.
• Protect the platform under multi-tenant load with per-tenant quotas and circuit breakers.
• Lead incident response and blameless postmortems, participate in on-call and game days.
• Make deployments safe by default and provide simple, standard ways to run workloads.
• Track and reduce cloud and model spend.

Skills

SRE

DevOps

AWS

Terraform

Datadog

OpenTelemetry

PostgreSQL

Incident leadership

Tools

Datadog

Terraform

OpenTelemetry

AWS

PostgreSQL

Job description

Job 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.

About the opportunity

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. AI workloads bring new reliability problems: long streaming responses, background agents, model-provider quotas, outputs that can fail silently, agents that take real actions, and spend that grow with usage. You'll treat them as first-class engineering problems. As AI agents take on more of our operational work, you'll decide what they're allowed to do and make sure they do it safely.

Why this role is exciting

• Reliability for a new kind of workload. The playbook for running AI agents in production is still being written, and you'll help write it.
• Scale with real stakes. A multi-tenant platform serving thousands of businesses, and AI features they depend on to run their day.
• Greenfield foundations. Define the SLOs, alerting, game days, agent guardrails, and standard deployment paths that every product team will build on.
• Cost is an engineering problem. Token economics, model routing and cost per task matter as much as uptime.
• AI-native operations. Use AI agents to automate toil, speed up investigations and improve infrastructure code; with the approval gates, scoped permissions and audit trails that make it safe.

What you’ll do

• 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.
• Own the platform's AWS infrastructure (ECS on Fargate, Aurora PostgreSQL, Redis and Amazon Bedrock) as Terraform delivered through Spacelift.
• Build observability in Datadog and Coralogix with OpenTelemetry, including AI signals like token usage, provider latency and cost per task.
• Make data stores resilient, with tested backups and restores, failover, defined disaster recovery targets (RTO/RPO) and safe migrations.
• Build resilience into the model layer: provider failover, quota and rate-limit management, and safe rollout and rollback of model and prompt changes.
• Protect the platform under multi-tenant load with per-tenant quotas, isolation and circuit breakers that stop runaway agents and runaway spend.
• Partner with Security on operational controls for AI risks, including prompt injection, excessive agent permissions and unbounded consumption (OWASP Top 10 for LLM Applications).
• Set 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.
• Work 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.
• Lead incident response and blameless reviews, take part in on-call, and run game days for the failures that matter most.
• Make deployments safe by default, and give product teams simple, standard ways to run agent workloads.
• Track and reduce cloud and model spend.

Our stack

• Cloud: AWS: ECS on Fargate, Aurora PostgreSQL with pgvector, ElastiCache Redis, CloudFront, Route 53, Secrets Manager and SSM
• AI: Amazon Bedrock and other model providers behind a multi-provider gateway
• Infrastructure as code: Terraform, delivered through Spacelift
• Observability: Datadog, Coralogix and OpenTelemetry
• Delivery: GitHub Actions, containers, Amazon ECR and preview environments

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

This is a fully remote role open to candidates based anywhere in the US, excluding Hawaii and Alaska. We'd prefer candidates in the Eastern or Central time zones.

To be considered for employment, you must be legally authorized to work in the country where the role is advertised. This applies to remote roles too. Xplor does not sponsor visas, either at the time of hire or at any later time. We're also not able to offer contractor arrangements or Employer of Record engagements for this position at this stage.

Qualifications

• 7+ years in SRE, DevOps or platform engineering, running multi-tenant SaaS in production
• Strong AWS experience and Terraform at scale (Spacelift, Terraform Cloud, Atlantis or similar)
• Experience building SLO-based alerting and observability with Datadog or similar tools, ideally with OpenTelemetry
• A track record of leading incidents calmly and turning post-incident reviews into lasting fixes
• Hands-on PostgreSQL operations: backups, point-in-time recovery, performance tuning and upgrades
• Production-quality coding skills for automation and tooling
• A least-privilege mindset and a disciplined approach to using AI tools

It would be great if you also have

• Experience running LLM or AI workloads in production, or a real interest in learning how they fail differently from traditional services
• Use of AI agents to automate operational work, such as incident triage, runbooks or infrastructure-code review, and a clear sense of where human review still matters
• Experience in regulated environments such as SOC 2 or PCI DSS
• Amazon Bedrock quotas and inference profiles, policy as code, LLM evaluation, AI security tooling, or multi-region data-residency requirements

At Xplor, we believe that the best innovation and ideas happen at the intersection of differences - people of different cultures, generations, disciplines, and lived experiences. So even if you think you don't quite tick all the boxes, we still encourage you to apply.

Additional Information

Values and Life at Xplor

Our five core values guide us from how we hire and recognise our team members to how we interact with our customers day to day:

• Find a better way
• Do the right thing
• Say it straight
• Win together
• Own the outcome

If these values sound like you, and describe people you want to work with, you will thrive at Xplor.

As an Xplorer, you will be part of a global network of talented colleagues who will support your success. We look for commonalities and shared passions and give people the tools they need to deliver great work and grow at speed.

Some of our perks and benefits are:

• Paid Parental Leave benefit programs
• #GiveBackDays/Commitment to social impact – 3 extra days off to volunteer and give back to your local community
• Ongoing dedication to Diversity & Inclusion initiatives such as D&I Council, Global Mentorship Program
• Access to free mental health support
• Flexible working arrangements

Interview Recording and Background Checks

As part of our hiring process, successful candidates will be asked to complete background and identity verification checks. Many of our roles are remote, and to protect both candidates and our business from recruitment fraud, we may record video interviews during the process. We keep any recordings and related data only for as long as the hiring process is active and do not retain them afterwards.

EEO and Artificial Intelligence

We believe in transparent hiring. We use an applicant tracking system with artificial intelligence-enabled features to support our recruitment process, but our recruitment team makes all hiring decisions after human review. We do not rely on artificial intelligence to make final hiring decisions. Find our Candidate AI Usage guidelines here.

Xplor is proud to be an Equal Employment Opportunity employer. We're dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability, veteran status and age. We encourage applications from all sectors of the community. All Information will be kept confidential according to EEO guidelines.

Xplor is committed to fully including all qualified individuals. In keeping with our commitment, Xplor will take steps to ensure people with disabilities receive reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact us via [e-mail].

We make it a priority to respond to every applicant.