Deployment Engineer
Deployment Engineer
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Job Description
Were on a mission to make knowledge work faster and more humane. We believe that AI will fundamentally transform how people work. In the future everyone will work in tandem with expert AI assistants who find knowledge create and synthesize information and execute work. These assistants will free people up to focus on the higherlevel creative aspects of their work.
Were building a system of intelligence for every company in the world. On the surface you can think of it as Google ChatGPT for the enterprise. Under the hood our platform is the connective tissue between AI and knowledge. It brings all of a companys knowledge together understands it at a deep level provides industryleading search relevance over it and connects it to generative AI agents and applications.
Gleanwas founded by a seasoned team of former Google search and Facebook engineers who saw a need in the enterprise space for their technical depth and passion for AI. Were a diverse team of curious and creative people who want to help each other get big things doneso we can help other teams do the same.
Were backed by some of the Valleys leading venture capitalistsincluding Sequoia Kleiner Perkins Lightspeed and General Catalystand have assembled a worldclass team with senior leadership experience at Google Slack Facebook Dropbox Rubrik Uber Intercom Pinterest Palantir and others.
Glean is seeking a talented Deployment Engineer to join our rapidly expanding venturebacked startup. Glean is the work assistant with intuition. Find and leverage the exact knowledge you need right when you need it so you and your team can get big things done. Join our hardworking team and elevate your career. We are professional creative passionate and most importantly customerobsessed.
You will be the primary deployment engineer for all new customer deployments in our SaaS environment or the customers cloud tenant.
- Based on work orders and specifications from our Sales and Solutions Engineering team deploy Glean instances for customers.
- Transition Glean instances to or from customers as required.
- Ensure all deployment automations pipelines and connectors are implemented fully so the customers first product experience is superior.
- Coordinate any customerrequired actions to fix configuration or technical issues with your Solutions Engineering partner.
- Troubleshoot any technical issues at any level (cloud infra networking storage application) of the instance to identify root causes directly fix raise PRs for fixes or escalate to engineering teams when needed.
- When not deploying customer instances streamline and improve the automation of routine steps and collaborate with product & engineering teams to drive features and automation that will scale the deployment process.
- Track and manage all deployments including detailed tasks and their status for all stakeholders.
- Decommission and dispose of Glean instances when required.
- Update and suggest improvements to deploymentrelated documentation.
Who you are
- Bachelors Degree in Computer Science or equivalent with at least 4 years of industry experience or Masters in Computer Science or equivalent with at least 2 years of industry experience.
- Communication: professional communicator who works effectively across internal teams and customers on occasion
- Project management: keep projects and tasks uptodate consistently
- Selfmotivated: a proactive approach to delivering service for customers
- Detailoriented: highly organized and methodical ensuring all issues are managed to completion.
- Curious by nature: a relentless need to know all aspects of the technical lifecycle from creation deployment life and disposal.
Key knowledge and skills
- Application deployment experience in a cloud environment using deployment automation tools CI/CD pipelines etc.
- Software development experience with a minimum junior developer level in Java and Python
- API and custom data integration experience in a Hybrid or SaaS environment
- Technical debugging: log analysis code analysis endtoend transaction tracing
- Networking expertise: a deep understanding of networking including cloud and onpremise networking
- Security knowledge: understanding and implementation of security tools in an endtoend cloud application context
- Handson experience with Cloud technologies in at least one of the following: Google Cloud Platform (GCP) Amazon Web Services (AWS) or Microsoft Azure
Employment Type
Full Time
