Automation & Tools Engineer

Alembic•San Francisco, CA
•$185,000 - $205,000

About The Position

We’re looking for an experienced Senior Automation and Tools Engineer to help scale our platform with reliability, observability, and operational excellence at the core. You’ll partner with engineers and data scientists to build, automate, and maintain the infrastructure that powers our core platform, including data pipelines, ML workloads, and real-time analytics systems. This is a hands-on, high-impact role with visibility across the stack and the opportunity to shape the future of our infrastructure and operations.

Requirements

  • 5+ years of experience in Tools development, SRE, DevOps, or platform engineering roles.
  • Good programming skills with infrastructure-as-code languages such as Ansible, Helm, and Kustomize.
  • Good programming skills with general-purpose languages such as Python or Go.
  • Deep experience with containerization (Docker) and Kubernetes.
  • Strong knowledge of Linux systems and networking fundamentals.
  • Experience with monitoring and observability stacks such as Prometheus, Grafana, Datadog, ELK, or OpenTelemetry.
  • Proficiency with CI/CD tools and pipelines such as GitHub Actions and ArgoCD.
  • Ability to debug complex systems and automate solutions in scripting languages such as Python and Bash.
  • Excellent communication skills and the ability to work cross-functionally.

Nice To Haves

  • Familiarity with build configuration tools, software dependency management, and C++.
  • Experience with datacenter automation such as system imaging and configuration management.
  • Experience supporting data-intensive platforms such as Spark, Airflow, and Kafka.
  • Familiarity with security practices for cloud-native applications and infrastructure.
  • Experience in high-compliance or SOC-2 environments.

Responsibilities

  • Work closely with SREs and developers to automate and control datacenter and cloud-based infrastructure, focusing on build and deployment systems and configuration management.
  • Improve system reliability and performance through automation, observability, and proactive capacity planning.
  • Create and configure tools for datacenter provisioning, configuration management, and observability using standard and custom tools.
  • Improve developer experience by providing tools for self-service.
  • Implement and maintain monitoring, alerting, and incident response processes, including SLOs, runbooks, and on-call rotations.
  • Collaborate across engineering and data science teams to drive a culture of performance and reliability.
  • Ensure security, compliance, and operational readiness across physical and cloud infrastructure.
  • Drive post-incident analysis and continuous improvement initiatives.

Benefits

  • Ownership of mission-critical infrastructure in a company solving real-world enterprise problems.
  • A front-row seat to a high-performance engineering culture.
  • The ability to influence how the platform scales, from deployment to incident management.
  • An environment that values curiosity, accountability, and impact.
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