Golden - San Francisco, CA

posted 2 days ago

Full-time - Mid Level
San Francisco, CA

About the position

Golden is the future of knowledge. We are in pursuit of the most useful (complete, correct, and valuable) knowledge graph in history. Our vision is to enable every decision to be made with reliable and complete data, whether that be sales prospecting for your CRM, learning about a newly discovered building material, or discovering which companies are adopting and applying the newest developments in AI. Golden is backed by the world's greatest venture capital investors and led by serial entrepreneur and angel investor Jude Gomila. The ideal candidate for this role is in need of a challenge and can chart paths through the fog of unbounded problem space. They will be developing their projects from conception through execution and launch, owning their success metrics end-to-end.

Responsibilities

  • Automate deployment of Golden's containerized services.
  • Manage and control our cloud resources using Terraform, Kubernetes, and AWS.
  • Architect infrastructure for cloud-native web applications and machine learning workloads.
  • Maintain third-party cloud software and services that Golden relies upon.
  • Implement and enforce cloud security best practices.
  • Manage domains, certificates, third party provider accounts and general site reliability.

Requirements

  • Infrastructure as Code and opinionated best practices. Terraform is preferred.
  • Familiarity with CI/CD pipelines and their optimization.
  • Knowledge of container development, build and deployment strategies.
  • Awareness of end-to-end integration testing strategies and pitfalls (we use Cypress for smoke tests right now).
  • Experience with AWS services such as EC2, RDS, VPC, S3, Route 53, CloudWatch, ELB, SNS, SQS, Lambda.
  • Ownership of secrets management.
  • History of Shell scripting and system administration.
  • Proficiency in Python or other scripting language.
  • Experience troubleshooting and resolving issues within live cloud environments.
  • Contributions to architectural design, discussion and documentation of scalable systems.
  • Ownership of performance and reliability metrics for web applications.

Nice-to-haves

  • Knowledge of infrastructure testing and static analysis tools.
  • Serverless application development experience.
  • Machine Learning and AI exposure.
  • Integration of Airflow, Papermill, and Python Notebooks.
  • ElasticSearch tuning and maintenance knowledge.
  • Postgres tuning and maintenance knowledge.

Benefits

  • Generous base salary.
  • Equity (stock options).
  • Healthcare Benefits (Medical, Dental, Vision).
  • 401k plan & matching.
  • Home office stipend.
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