Senior Solution Engineer (Observability & Linux)

New
V
VictoriaMetricsObservability software
North America, Remote; Source API remote eligibility restrictions: Bermuda, Canada, Greenland, Mexico, Saint Pierre and Miquelon, United States, United States Minor Outlying IslandsFull-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ years in Pre-Sales, SRE, DevOps, or Systems Engineering roles
Required Skills
DockerPythonBashGoGrafanaPrometheusLinux

Requirements

  • Have 5+ years of experience in Pre-Sales, SRE, DevOps, or Systems Engineering roles.
  • Demonstrate a track record of managing complex technical sales cycles.
  • Use standard Linux tools such as top, strace, tcpdump, and vmstat to troubleshoot CPU, memory, and disk I/O issues.
  • Understand logs, metrics, traces, and the business value of reducing MTTR.
  • Diagnose missing metrics, high-cardinality churn, slow queries, and alerts that fail to trigger.
  • Have deep knowledge of Linux distributions including RedHat/CentOS, Ubuntu, and Debian, and of Systemd, file systems, and networking.
  • Have experience with observability tools such as Prometheus, Grafana, OpenTelemetry, ELK Stack, Splunk, or Datadog.
  • Have hands-on experience with Docker and container principles.
  • Be proficient in Bash and at least one of Python, Go, or Ruby for automation.
  • Understand TCP/IP, DNS, HTTP/S, and load balancing.
  • Kubernetes, SSO and authentication workflows, PromQL, Infrastructure as Code tools, and open-source contributions are listed as nice-to-haves.

Responsibilities

  • Partner with Enterprise Sales to lead technical discovery for strategic accounts and assess customers’ monitoring stacks and observability needs.
  • Analyze customer infrastructure and derive efficient, high-performance solution architectures using Enterprise capabilities.
  • Advise customers on observability and instrumentation best practices and explain Enterprise features.
  • Architect and demonstrate observability use cases.
  • Design and execute complex Proofs of Concepts by instrumenting real workloads, including work with Linux agents or OpenTelemetry collectors.
  • Plan scalable agent and collector deployments across Kubernetes clusters, VMs, and bare-metal infrastructure.
  • Translate customer requirements into technical specifications and provide product capability feedback to Development.
  • Coordinate with Support and Product Management on technical success, customer handoffs, and strategic feature needs.
  • Create technical content such as white papers, blog posts, sample dashboards, and scripts.
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