Senior DevOps Engineer - AI Startup

Radley James • San Francisco Bay Area
Relocation
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AI Summary

Join a venture-backed AI startup in San Francisco as a Senior DevOps Engineer. You will own and evolve CI/CD processes on AWS, manage and optimize AWS environment, and contribute to backend services development with Python. 5+ years of experience in engineering and solid Python proficiency required.

Key Highlights
Own and evolve CI/CD processes on AWS
Manage and optimize AWS environment
Contribute to backend services development with Python
Key Responsibilities
Own and evolve CI/CD processes on AWS
Manage and optimize AWS environment
Contribute to backend services development with Python
Contribute to Data Engineering tasks with Python
Develop customized automation solutions across the infrastructure stack
Manage scaling and complexity reduction across deployment architectures for customer needs
Technical Skills Required
Python AWS infrastructure DevOps principles
Benefits & Perks
Competitive equity
Flexible hybrid working
Stipend available for US based candidates

Job Description


Compensation: $150,000-$220,000 base + competitive (founding level) equity

Hybrid/On Site: Flexible hybrid working (2-4 days on site expected)

Location:

Relocation: Stipend available for US based candidates


We are working with an AI startup in San Francisco that build advanced research and data analysis to evaluate GenAI potential within a variety of organisations across the United States, allowing strategic and effective AI technology deployment.


The company is venture backed, founded by academics from Penn. MIT and Stanford, and work extensively alongside AI Experts and PhD researchers to build an impactful offering.


What You'll Do

  • Own and evolve CI/CD processes on AWS ensuring efficient and clean deployments
  • Manage and optimize AWS environment including ECS Fargate and AWS marketplace integrations
  • Increase monitoring, logging and visibility across multi-tenant infrastructure
  • Contribute to backend services development with Python
  • Contribute to Data Engineering tasks with Python
  • Develop customized automation solutions across the infrastructure stack
  • Manage scaling and complexity reduction across deployment architectures for customer needs


Who You Are

  • Solid Python proficiency - ability to build backend services and assist in data engineering tasks effectively
  • Background in Software Engineering or Data Engineering prior to moving into DevOps
  • 5+ years experience in engineering
  • Highly skilled across AWS infrastructure and DevOps principles

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