Sr. Observability Systems Engineer

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Sr. Observability Systems Engineer in USA new

Backblaze External Website
Full time
Email

USA
10/16/2026
Report

Remote

Responsibilities

Set technical direction and standards for organization-wide observability, including instrumentation, alerting, and dashboard design.
Mentor Observability engineers and provide technical guidance to SRE, Storage Engineering, and Network Engineering.
Lead design reviews, architecture discussions, build-versus-buy evaluations, and observability documentation.
Own and evolve the metrics pipeline, logging stack, distributed tracing platform, Grafana standards, telemetry strategy, and service discovery integrations.
Manage observability infrastructure-as-code and automation across Kubernetes clusters and Debian-based bare-metal servers.
Lead Ceph storage observability and collaborate on BGP, routing, and network-level observability.
Evaluate and deploy AIOps tooling and AI-agent systems for alert correlation, deduplication, and automated root-cause analysis.

Requirements

8+ years of experience in systems engineering, SRE, DevOps, or observability-focused roles, including technical leadership on a platform or infrastructure team.
Deep hands-on experience with Prometheus, VictoriaMetrics, or equivalent metrics platforms, including PromQL and Alertmanager.
Experience designing and operating log aggregation pipelines such as Elasticsearch or OpenSearch, Logstash, and Filebeat.
Working knowledge of distributed tracing and instrumentation strategy with Jaeger, OpenTelemetry, or equivalent tools.
Proficiency in Python and/or Go for automation and tooling.
Experience with Kubernetes, including workload deployment, pod networking, and storage.
Experience with infrastructure-as-code and configuration-management tooling.
Strong Linux knowledge, preferably with Debian or Ubuntu.
Demonstrated experience mentoring engineers and raising technical standards.
Strong written and verbal communication skills, including design-document authorship.
Preferred qualifications include AIOps deployment, AI-agent or agentic AI experience, LLM APIs or self-hosted inference, Ceph, incident-management platforms, BGP, network observability, multi-data-center environments, secrets management, regulated environments, and storage or hyperscale infrastructure.

Benefits

US base salary range of $178,000-$200,000, plus a 10% target annual bonus and RSUs.
Equal Opportunity Employer committed to diversity, equity, inclusion, and belonging.

Salary: $178k - $200k/yr

Backblaze External Website

AI infrastructure runs on data. Storage gets hard at scale. We’ve been breaking, rebuilding, and improving that storage layer for 20 years. We started by building storage servers from scratch in a Palo Alto apartment to save 90% on hardware. Turns out hard constraints make for pretty good enginee...

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