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DatabricksDatabricksSan Francisco, CA

Sr Software Engineer, Infrastructure

Senior Software Engineer builds and automates scalable AWS infrastructure, manages Kubernetes clusters, and implements observability frameworks. Requires 5+ years Python experience, IaC expertise, and strong cloud/DevOps skills.

136k – 187k/yr
Hybrid5+ YOEDevOps / SRE

About the role

Responsibilities

  • Architect and automate production-grade infrastructure on AWS using Terraform or Pulumi.
  • Manage and scale containerized workloads using AKS (Azure Kubernetes Service) or EKS, focusing on cluster security and resource efficiency.
  • Architect robust deployment pipelines using GitHub Actions, managing both GitHub-hosted and self-hosted runners.
  • Create infrastructure for "Observable by Default" frameworks ensuring new applications are secure with logging and metrics enabled.
  • Build internal CLI tools, AI plugins, and automation scripts to streamline developer workflows.
  • Collaborate cross-functionally with Security, Engineering, Infrastructure, and Support teams.
  • Mentor junior engineers, participate in code reviews, and document solutions and failure triage playbooks.

Requirements

  • 5+ years production-level experience with strong proficiency in Python (required).
  • Expert-level Terraform (modules, state management) or Pulumi (preferred).
  • Hands-on experience with AWS (or Azure/GCP), Kubernetes, Docker.
  • Experience building/troubleshooting integrations between infrastructure, data pipelines, and observability platforms.
  • Advanced knowledge of GitHub Actions, GitHub Runners.
  • Strong observability mindset: logging, metrics, tracing; experience with Datadog, Prometheus, or ELK.
  • Proficiency in distributed systems concepts like Kafka or messaging queues.
  • Ability to operate independently on ambiguous projects.

Skills

PythonTerraformPulumiAWSKubernetesDockerGitHub ActionsDatadogPrometheusElkKafka

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