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AlembicAlembicSan Francisco, CA

Senior Site Reliability Engineer

Builds and maintains scalable infrastructure for real-time analytics and ML workloads, focusing on reliability, automation, CI/CD, monitoring, and incident response. Requires 8+ years SRE/DevOps experience with Kubernetes, Terraform, Linux, and observability tools.

210k – 240k
On-site8+ YOEDevOps / SRE

About the role

Key Responsibilities

  • Design, build, and maintain scalable infrastructure to support real-time analytics and machine learning workloads
  • Improve system reliability and performance through automation, observability, and proactive capacity planning
  • Own and evolve CI/CD pipelines, deployment automation, rollback mechanisms, and config management
  • Implement and maintain monitoring, alerting, and incident response processes (SLOs, runbooks, 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 our cloud infrastructure
  • Drive post-incident analysis and continuous improvement initiatives

What Will Help You Succeed

  • 8+ years of experience in SRE, DevOps, or infrastructure engineering roles
  • 5+ years of experience with datacenter operations and/or system and network administration
  • Experience with containerization (Docker), and orchestration (Kubernetes)
  • Strong knowledge of Linux systems, networking, and systems performance tuning
  • Solid understanding of infrastructure-as-code (e.g., Terraform, Ansible)
  • Good programming skills and ability to apply sound coding principles to IaC and scripting code with languages such as Terraform, Ansible, Bash (shell scripting), and/or Python
  • Experience with monitoring and observability stacks (e.g., Prometheus, Grafana, Datadog, ELK, OpenTelemetry)
  • Proficiency with CI/CD tools and pipelines (e.g., GitHub Actions, ArgoCD, etc.)
  • Ability to debug complex systems and automate solutions in scripting languages
  • Excellent communication skills and the ability to work cross-functionally

Nice-to-Have

  • Experience with cloud and managed services (e.g. AWS)
  • Experience supporting data-intensive platforms (Spark, Airflow, Kafka, etc.)
  • Familiarity with security practices for cloud-native applications and infrastructure
  • Experience in high-compliance or SOC-2 environments

Skills

KubernetesDockerTerraformAnsibleLinuxPythonBashPrometheusGrafanaDatadogGitHub ActionsArgo CDAWSOpenTelemetry

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