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San Francisco, California, United States
Onsite
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.
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
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
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
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
