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Senior Observability Systems Engineer
Backblaze. Set technical direction and standards for observability across the organization, including instrumentation conventions, alerting philosophy, and dashboard design patterns .
Tech Stack
Tools & technologiesConsulElasticSearchGrafanaKubernetesLinuxLogstashPrometheusPythonGo
About the role
Key responsibilities & impact- Set technical direction and standards for observability across the organization, including instrumentation conventions, alerting philosophy, and dashboard design patterns
- Mentor engineers on the Observability team and act as a technical resource for SRE, Storage Engineering, and Network Engineering
- Lead design reviews and represent the team in cross-functional architecture discussions
- Evaluate build-versus-buy decisions for observability and AIOps tooling, including data sovereignty and compliance considerations
- Produce and maintain design documentation, runbooks, and architectural decision records
- Own and evolve the metrics pipeline, including VictoriaMetrics, Prometheus, and Consul-based service discovery
- Own and expand the OpenSearch, Logstash, and Filebeat logging stack across Backblaze data centers
- Architect and expand distributed tracing with Jaeger and OpenTelemetry
- Define and maintain Grafana dashboard standards
- Drive expansion of internal application telemetry with application teams
- Define capacity and retention strategy for the telemetry stack
- Own infrastructure-as-code for observability deployments across multiple Kubernetes clusters
- Write and review automated playbooks for Debian-based bare metal servers
- Partner with SRE on Consul-based service discovery and scrape target automation
- Lead Ceph storage observability, including OSD health, performance metrics, and alerting integration
- Collaborate with Network Engineering on BGP, routing, and network-level observability
Requirements
What you’ll need- 8+ years in a systems engineering, SRE, DevOps, or observability-focused role, including demonstrated technical leadership on a platform or infrastructure team
- Deep hands-on experience with Prometheus, VictoriaMetrics, or equivalent metrics platforms, including PromQL, Alertmanager, and operating these systems at scale
- Experience designing and operating log aggregation pipelines such as Elasticsearch/OpenSearch, Logstash, Filebeat, or similar
- Working knowledge of distributed tracing (Jaeger, OpenTelemetry, or equivalent), including instrumentation strategy, not just operation
- Proficiency in Python and/or Go for automation and tooling
- Experience with Kubernetes, including deploying workloads and understanding pod networking and storage
- Experience with infrastructure-as-code tooling and configuration management
- Strong understanding of Linux internals, with Debian/Ubuntu preferred
- Demonstrated experience mentoring engineers and raising the technical bar on a team
- Excellent written and verbal communication skills
- Experience leading the evaluation or deployment of AIOps tooling, including alert correlation, deduplication, or automated root cause analysis
- Experience building, deploying, or operating AI agents or agentic AI systems
- Familiarity with LLM APIs (Anthropic, OpenAI) or self-hosted LLM inference in an infrastructure context
- Familiarity with Ceph storage, including OSD management, pool configuration, and CRUSH maps
- Experience with incident management platforms
- Familiarity with BGP, network observability, or working in multi-DC environments
- Experience with secrets management in production environments
- Experience operating in a regulated or compliance-driven environment
- Prior experience in a storage-focused company or hyperscale infrastructure environment
Benefits
Comp & perks- 10% target annual bonus
- RSUs
- Equal Opportunity Employer commitment
- Diversity, equity, and inclusion values
- Workforce belonging commitment