DevOps / SRE Engineer (Kubernetes & Observability)

Argyllinfotech

  • Seattle, WA
  • 9 days ago

    Highlights

    Job Description: DevOps / SRE Engineer (Kubernetes & Observability) About the Role We are seeking an experienced DevOps / SRE Engineer with a strong background in migration, automation, and Kubernetes environments. In this role, you will play a key part in providing operational support for our telemetry and observability stacks, ensuring high availability, performance, and seamless monitoring across our infrastructure.

    Numbers & Facts

    LocationSeattle, WA

    Description

    Job Description: DevOps / SRE Engineer (Kubernetes & Observability)
    About the Role
    We are seeking an experienced DevOps / SRE Engineer with a strong background in migration, automation, and Kubernetes environments. In this role, you will play a key part in providing operational support for our telemetry and observability stacks, ensuring high availability, performance, and seamless monitoring across our infrastructure.
    • Duration: 12 Months Contract
    • Location: Seattle, WA 98109 (Hybrid)
    • Experience Required: 12+ Years
    Key Responsibilities
    • Provide robust operational support for enterprise telemetry and observability stacks within a Kubernetes environment.
    • Design, develop, and maintain Python scripts and automation tools to streamline monitoring, support, and operational workflows.
    • Configure, monitor, and troubleshoot core observability platforms including Grafana, Prometheus, Loki, and Tempo.
    • Collaborate closely with DevOps, SRE, and cross-functional software development teams to guarantee optimal system performance and deep observability.
    • Manage containerized workloads using Docker and maintain efficient CI/CD pipelines.
    • Utilize Git-based version control workflows within a Linux-based operating environment.
    Required Skills & Qualifications
    • Experience: 5+ years of professional experience in DevOps, Site Reliability Engineering (SRE), and infrastructure migrations.
    • Core Technologies:
      • Strong hands-on expertise in Kubernetes (deployment, configuration, and advanced troubleshooting).
      • Proficiency in Python for scripting, automation, and internal tool development.
      • Solid working knowledge of AWS cloud environments.
    • Observability: Hands-on configuration and troubleshooting experience with Prometheus, Grafana, and log/trace aggregators such as Loki.
    • Environments & Tools: Containerization via Docker, Linux administration, and Git-based workflows.

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