Automation & Tools Engineer

Posted 3 Days Ago
Be an Early Applicant
San Francisco, CA, USA
In-Office
185K-205K Annually
Senior level
Artificial Intelligence • Marketing Tech • Software • Big Data Analytics
The Role
Build and maintain automation, deployment, configuration management, observability, and infrastructure tools across datacenter and cloud environments. Improve reliability, performance, developer self-service, monitoring, incident response, and operational readiness for data pipelines, machine learning workloads, and real-time analytics systems. Collaborate with SRE, engineering, and data science teams while driving post-incident improvements and ensuring security and compliance.
Summary Generated by Built In

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

Skills Required

  • 5+ years of experience in tools development, SRE, DevOps, or platform engineering roles
  • Programming skills with infrastructure-as-code tools and languages such as Ansible, Helm, and Kustomize
  • Programming skills with Python or Go
  • Deep experience with 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 or ArgoCD
  • Ability to debug complex systems and automate solutions with scripting languages such as Python or Bash
  • Excellent communication skills and ability to work cross-functionally
  • Familiarity with build configuration tools, software dependency management, and C++
  • Experience with datacenter automation, system imaging, and configuration management
  • Experience supporting data-intensive platforms such as Spark, Airflow, or Kafka
  • Familiarity with security practices for cloud-native applications and infrastructure
  • Experience in high-compliance or SOC 2 environments
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The Company
HQ: Sydney
43 Employees
Year Founded: 2018

What We Do

Alembic provides AI-powered marketing analytics for C-suite executives. Our near-real-time platform leverages cutting-edge mathematics, proprietary algorithms, and composite AI, forming an innovative solution unmatched in the marketplace. Organizations use it to model revenue outcomes, addressing the long-standing challenge of quantifying the impact of marketing on sales. Alembic is proud to work with enterprise companies, including NVIDIA, Texas A&M, and North Sails

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