Research Scientist, Kaggle
Google (10000+ pracowników)
Programowanie Frontend
Programowanie Backend
Poland
Pełny etat
Law
Doctoral degree
Java
Master's degree
C++
JavaScript
Natural language processing
AI
Python
Mobile devices
Google (10000+ pracowników)
Victoria Metrics Inc
General
We are the company behind the popular open-source, high-performance time-series database and monitoring solution of the same name: VictoriaMetrics. We’ve also recently introduced our open source logs management solution, VictoriaLogs as well as a new open source database for traces, VictoriaTraces.
Fortune 500 companies use our products as their core observability solution. Our services are used by Spotify, WIX, Grammarly, CERN and thousands others. Our open source products have been downloaded 1B+ times to date.
We are looking for aSenior Solution Engineerwho lives in the terminal and is passionate about system performance. In this role, you will be a key technical expert and the bridge between theEnterprise version of our open source Observability platformand our customers' most complex Linux-based infrastructures.
You won't just be selling software; you will be consulting with principal Software Engineers and Development Leads to help them instrument their applications,derive the best solution for their specific footprint, and gain actionable visibility into their distributed systems. As a Senior member of the team, you will focus on handling our most complex technical engagements andworking closely with our Development team.
Partner with Enterprise Sales to lead technical discovery for our largest strategic accounts, digging deep into the customer's current monitoring stack (metrics, logs, traces) and observability needs.
Consult with customers to analyze their infrastructure footprint(On-prem Linux, Cloud, Hybrid) and derive the most efficient, high-performance solution architecture using ourEnterprise capabilities.
Act as a trusted advisor on observability and instrumentation best practices, articulating the distinct value ofEnterprise features(such as advanced security, multi-tenancy, and downsampling) compared to the open source offering.
Architect and demonstrate sophisticated use cases for observability.
Lead the design and execution of complex Proof of Concepts (POCs) that prove value by instrumenting real workloads, often requiring hands-on work with Linux agents or OpenTelemetry collectors.
Architect scalable deployment plans for our agents/collectors across large-scale infrastructure (Kubernetes clusters, VMs, bare metal).
Work closely with the Development teamto translate customer requirements into technical specifications and provide feedback on product capabilities.
Collaborate with the dedicated Support teamto ensure technical success during complex Proof of Concepts and seamless handoffs for new customers.
Collaborate with Product Management to advocate for strategic features that support the evolving landscape of cloud-native infrastructure (e.g., eBPF, WASM).
Create advanced technical content (white papers, blog posts, sample dashboards, scripts) that establishes authority in the engineering community.
Experience:5+ years in Pre-Sales, SRE, DevOps, or Systems Engineering roles, with a proven track record of managing complex technical sales cycles.
Linux Mastery:You are an expert in the terminal. You know how to troubleshoot CPU spikes, memory leaks, and disk I/O bottlenecks using standard Linux tools (top, strace, tcpdump, vmstat) and can teach others how to do the same.
Observability DNA:Deep understanding of the "Three Pillars" (Logs, Metrics, Traces) and the business value of reducing MTTR (Mean Time To Resolve).
Problem Solving:You approach troubleshooting through the lens of observability. You can diagnose why metrics are missing, identify high-cardinality churn, optimize slow queries, or determine why alerts are failing to trigger.
OS Internals:Deep knowledge of Linux distributions (RedHat/CentOS, Ubuntu, Debian) and core concepts (Systemd, File Systems, Networking).
Observability Tools:Experience with metrics products such as Prometheus, Grafana, OpenTelemetry, ELK Stack (Elasticsearch, Logstash, Kibana), Splunk, or Datadog.
Containerization:Hands-on experience with Docker and container principles.
Scripting:Proficiency in Bash and at least one high-level language (Python, Go, or Ruby) for automation.
Networking:Understanding of TCP/IP, DNS, HTTP/S, and Load Balancing.
Experience withKubernetes(instrumenting sidecars, DaemonSets, Helm charts) at scale.
Knowledge of at least one SSO provider and authentication workflows.
Advanced proficiency withPromQLfor constructing complex queries.
Familiarity with Infrastructure as Code (ArgoCD, Terraform, Ansible, SaltStack).
Experience contributing to open-source projects.
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