Software Engineer (Cloud Infrastructure)

TL;DR

Software Engineer (Cloud Infrastructure): Building and automating customer setup and deployment systems for a Work AI platform with an accent on cloud infrastructure, networking, and infrastructure as code. Focus on developing reliable, repeatable deployment workflows for complex environments including AWS and GCP.

Location: Must be based in or able to commute to Mountain View, CA (Hybrid: 4 days/week in office)

Salary: $200,000 - $270,000 annually

Company

Glean is a leading Work AI platform that provides enterprise search, AI assistants, and scalable agents to help organizations govern and customize AI across their business.

What you will do

• Build and improve systems that automate customer setup and deployment across cloud environments.
• Develop deployment workflows and infrastructure as code templates to reduce manual setup work.
• Improve support for complex deployment scenarios like BYO-VPC, customer-managed keys, and airgapped environments.
• Manage cloud account bootstrapping, authentication wiring, and private networking.
• Partner with Platform, Security, and Product teams to optimize deployment reliability and speed.
• Enhance the quality and coverage of AWS and GCP deployment tooling.

Requirements

• 4+ years of professional software engineering experience in platform, infrastructure, or cloud roles.
• Hands-on experience with cloud infrastructure in AWS or GCP.
• Proficiency with Terraform or similar infrastructure as code tools.
• Strong networking fundamentals including VPCs, subnets, routing, and proxies.
• Experience building deployment automation or internal cloud platforms.
• Ability to work on-site in Mountain View, CA 4 days per week.

Culture & Benefits

• Comprehensive medical, vision, and dental coverage.
• 401k plan contribution options.
• Generous time-off policy.
• Home office improvement, annual education, and wellness stipends.
• Daily healthy lunches provided in the office.

Hiring process

• Technical interview process including a brief AI-focused exercise or discussion.