{"id":"1668138052","title":"Staff DevOps Engineer","posted_at":"2026-04-08T13:58:56.000Z","apply_url":"https://job-boards.greenhouse.io/weave/jobs/4208677009","locations":["San Francisco, CA"],"employment_type":"full_time","workplace_type":null,"seniority_level":"staff","description_language":"en","source_name":"greenhouse","source_url":"https://job-boards.greenhouse.io/weave/jobs/4208677009","salary":{"min":200000,"max":250000,"currency":"USD","period":"year","display":"$200,000–$250,000"},"job_summary":"Weave is a healthcare technology company building an AI-driven platform to streamline drug development workflows. The Staff DevOps Engineer will own and evolve the infrastructure, reliability, and operational foundations of the platform to ensure secure and scalable performance.","job_description":{"responsibilities":["Design, operate, and evolve cloud and on-premise infrastructure environments.","Build and maintain robust CI/CD pipelines and ensure system reliability and performance.","Architect infrastructure security, networking, and compliance measures.","Develop and maintain disaster recovery and business continuity strategies.","Establish infrastructure standards, automation, and documentation to enable engineering velocity."],"minimum_qualifications":["8+ years of experience in DevOps, Site Reliability Engineering, or Infrastructure Engineering.","Experience operating production systems at an early-stage or growth-stage startup.","Deep hands-on experience with cloud infrastructure, specifically AWS.","Experience managing on-prem or hybrid environments.","Strong understanding of Linux systems, networking, and infrastructure automation tools like Terraform or Ansible.","Proven experience designing CI/CD pipelines and production observability."],"preferred_qualifications":["Experience supporting systems in regulated environments such as healthcare or life sciences.","Familiarity with Python/Django production environments.","Experience supporting AI/ML systems in production."]},"visa_sponsorship":null,"experience_years_min":8,"job_address":null,"job_city":"San Francisco","job_state":"CA","job_country":"US","location_lat":37.7884969,"location_lng":-122.3558473,"keywords":["CI/CD pipelines","infrastructure","collaboration","observability","documentation","Collaborate","scalability","performance","competitive","engineering","end-to-end","monitoring","production","automation","compliance","regulatory","enablement","reporting","pipelines","Terraform","standards","workflows","regulated","security","Platform","business","customer","develop","design","vision","Growth","DevOps","Python","CI/CD","Linux","ROI","AWS","ML","AI"],"company":{"name":"Weave","logo_url":"https://img.logo.dev/weave.com?token=pk_fWx5G5QrQMm-0Ud8BW3mBg&size=64&format=png","description":"Weave develops AI technology designed to analyze and understand engineering work.","website_url":"https://weave.com","linkedin_url":"https://www.linkedin.com/company/getweave","glassdoor_url":null,"x_url":"https://x.com/getweave","instagram_url":null,"youtube_url":null,"github_url":null,"huggingface_url":null,"tiktok_url":null,"crunchbase_url":null,"facebook_url":null,"employee_count_range":"1001-5000","employee_count":null,"founded_year":2008,"headquarters":{"address":"1331 W Powell Way, Lehi, UT 84043, United States","city":"Lehi, UT","country":"US","lat":40.3881114,"lng":-111.8486019},"industry":"software","company_type":"enterprise","total_funding_usd":null,"locations":["Boston, MA","San Francisco Bay Area, CA","San Francisco, CA","Southeast United States"]}}