Feeny
Alembic

Automation & Tools Engineer at Alembic (San Francisco, CA)

Alembic· San Francisco, CA· $185k–$205k·

Role details

Salary
$185k–$205k
Work type
Onsite
Employment
Full-Time
Equity
Yes

Job description

About the Role

We’re looking for an experienced Senior Automation and Tools Engineer to help us 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.

Key Responsibilities

  • Work closely with SREs and developers to automate and control datacenter and cloud-based infrastructure, with a focus on build and deployment systems, as well as configuration management
  • Improve system reliability and performance through automation, observability, and proactive capacity planning
  • Create and configure tools for datacenter provisioning, configuration management, observability using standard and custom tools
  • Improve developer experience by providing tools for self-service
  • 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 physical and cloud infrastructure
  • Drive post-incident analysis and continuous improvement initiatives

Must-Have Qualifications

  • 5+ years of experience in Tools development, SRE, DevOps, or platform engineering roles
  • Good programming skills with IaC (infrastructure as code) languages such as Ansible, Helm, 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 (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 (Python, Bash, etc.)
  • Excellent communication skills and the ability to work cross-functionally

Nice-to-Have

  • 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 (Spark, Airflow, Kafka, etc.)
  • Familiarity with security practices for cloud-native applications and infrastructure
  • Experience in high-compliance or SOC-2 environments

What You’ll Get

  • 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 our platform scales—from deployment to incident management
  • An environment that values curiosity, accountability, and impact

Why work at Alembic

  • Culture highlights: Values include “embrace curiosity,” “be data driven,” “build stuff & ship it,” “maintain low egos,” “don’t blame, solve,” “everyone teaches,” and “brevity is strength.” Emphasis on experimentation, cross-department learning, and shipping without overanalysis.
  • Remote/hybrid/office policy: In-person at San Francisco HQ (all open positions listed as “In Person Full Time”).
  • Notable perks or engineering culture: Work on frontier Causal AI models with access to NVIDIA DGX SuperPOD. Opportunity to solve complex, high-impact problems for Fortune 500 clients. Flat, low-ego environment with a focus on shipping and data-driven decisions. Active open roles: Research Engineer – Causal AI, Senior Applied AI Engineer, Senior Site Reliability Engineer, Patent Counsel, Senior Field Scientist.

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