Principal ML Infrastructure Engineer
UpworkFull Time
Expert & Leadership (9+ years)
Candidates should possess 8+ years of relevant production-level experience, including experience with VictoriaMetrics, Sumologic, tracing tools like OpenTelemetry or Honeycomb, and profiling tools like Pyroscope. A strong understanding of cloud monitoring, logging, and cost management tools is necessary, along with programming/scripting knowledge in Go, Java, or Python and familiarity with JVM concepts. In-depth knowledge of AWS services, hands-on experience with AWS provisioning using Terraform, and experience with containerized applications and Kubernetes/EKS, including Helm charts, are required. Understanding of microservices architecture, debugging techniques, systems, networking, troubleshooting, automated build pipelines, CI/CD, and operating Linux in production are also essential. Experience in an agile, entrepreneurial start-up environment is preferred.
The Principal DevOps Developer will build a resilient, secure, and efficient cloud-based observability platform. Responsibilities include monitoring and troubleshooting platform issues, developing solutions to reduce known issues, and scaling the observability infrastructure to meet increasing demand. The role also involves developing and improving operational practices and procedures, such as creating custom Prometheus exporters in Go for database monitoring and deploying MCP servers to integrate the observability stack with LLM tools.
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