Senior Site Reliaiblity Engineer

About Mirantis

Mirantis, an IREN company, is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.  https://www.mirantis.com/

Overview

Define what reliability means for a GPU-accelerated AI platform and make it measurable. You will own the service-level indicators and objectives for the K0rdent Observability Framework (KOF) — deriving meaningful SLIs from the signals the platform already emits, and exposing them to Platform Administrators through a clean API. Work spans hybrid, edge, and air-gapped deployments built on the Mirantis K0rdent stack.

About the Role

We are looking for a senior SRE who thinks past dashboards to the contract between a platform and its operators. The right candidate can look at raw telemetry from Kubernetes, bare metal, and NVIDIA infrastructure, decide which signals actually predict user-visible reliability, and turn them into SLIs and SLOs that operators can act on. You are equally comfortable writing the service that exposes those SLIs through an API and reasoning about error budgets, alerting quality, and signal-to-noise. You should be self-directed, able to own reliability definitions end to end, and effectively communicate them across teams.

Responsibilities

• Define SLIs and SLOs based on the signals available across the platform — Kubernetes, bare-metal hosts, and NVIDIA infrastructure (BMC, InfiniBand, NVLink, UFM).

• Design and build the API that exposes SLIs and reliability state to Platform Administrators and downstream systems.

• Establish alerting and error-budget practices that maximize signal and minimize noise.

• Partner with infrastructure, storage, and networking teams to ensure the right signals are instrumented and collected.

• Diagnose reliability and performance issues across the observability stack and drive their resolution.

Required Qualifications

• 5+ years in SRE, platform reliability, or a closely related software/infrastructure role.

• Strong software engineering skills (e.g., Go or Python) with experience building and operating APIs or services in production.

• Demonstrated experience defining SLIs/SLOs and error budgets for real production systems.

• Hands-on experience with observability tooling — metrics, logging, and tracing (e.g., Prometheus/VictoriaMetrics, OpenTelemetry, Grafana).

• Solid understanding of Kubernetes and the signals it and its workloads emit.

• Strong written and verbal communication with technical audiences.

Preferred

• Experience instrumenting or monitoring bare-metal and NVIDIA infrastructure (BMC/Redfish, InfiniBand, NVLink, UFM).

• Experience with the Mirantis K0rdent stack (K0rdent Enterprise, K0rdent AI, KOF) and Cluster API.

• Familiarity with VictoriaMetrics/VictoriaLogs at scale.

• Proven experience in sovereign or high-security air-gapped environments.

Why you’ll love Mirantis

• Build the observability foundation for the AI cloud era, working directly with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-first enterprises

• Collaborate with a world-class, distributed team committed to openness and technical excellence

• Shape the product narrative and influence go-to-market success

It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to [email protected]

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