Software Engineer, Cloud Infrastructure

Glean Work is hiring a Software Engineer, Cloud Infrastructure in San Francisco, United States. It pays $200k-$270k a year and Level rates it ; you can apply on Glean Work.

Level's read on this job

Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
Pay on this posting starts 19% higher than the typical software engineer posting on Level.
Some of the work can be done remotely, according to the posting.
The posting mentions Kubernetes, Terraform and AWS among its tools and skills.
Glean Work has 130 other open roles on Level.

AI in this role

Build and scale cloud infrastructure deployment systems and bootstrap workflows for an enterprise AI platform.

kubernetesterraformawsgcp

ai-agentscloud-infrastructureplatform-engineeringdevopssecurity

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Glean is seeking a Software Engineer to join our Platform Infrastructure team. This team is in the Platform org and focuses on customer setup and deployment, especially in complex cloud, hosting, and security environments. You will help build the systems that bootstrap cloud accounts and projects, wire authentication, and turn deployment workflows into reliable, repeatable productized experiences for customers. This is a strong fit for an engineer who enjoys cloud infrastructure, networking, infrastructure as code, and solving real-world deployment problems with clean software abstractions. You will:

Build and improve systems that automate customer setup and deployment across cloud environments.
Develop deployment workflows and infrastructure as code templates that mirror customer environments and reduce manual setup work.
Improve support for complex deployment scenarios including BYO-VPC, customer-managed keys, airgapped environments, and custom-region deployments.
Work on cloud account and project bootstrapping, authentication wiring, proxy and private networking, and deployment orchestration.
Partner closely with Platform, Security, Product, and customer-facing teams to make deployments faster, safer, and easier to operate.
Raise the quality, reliability, and coverage of our AWS and GCP deployment tooling over time.

About you:

You have 4+ years of professional software engineering experience, ideally in platform, infrastructure, or cloud-focused roles.
You have solid backend engineering fundamentals and the ability to work across infrastructure-heavy systems.
You have hands-on experience with cloud infrastructure in AWS, GCP.
You have experience with Terraform or other infrastructure as code tools.
You have strong networking fundamentals, including areas such as VPCs, subnets, routing, proxies, and private connectivity.
You have built or improved deployment automation, onboarding workflows, internal cloud platforms, or customer-environment setup systems.
You can balance engineering rigor with pragmatism and are excited to turn complex setup problems into repeatable productized systems.
You communicate clearly, collaborate well across functions, and are comfortable taking ownership in an evolving environment.

Location:

This role is hybrid (4 days a week in our San Francisco office)

Compensation & Benefits: The standard base salary range for this position is $200,000 - $270,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-HYBRID
AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.
By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.

How we rate this

Software Engineer, Cloud Infrastructure at Glean Work rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Software Engineer, Cloud Infrastructure is an open job at Glean Work.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $200k-$270k a year.
The role is based in San Francisco, CA and is marked remote.
The job was posted on June 30, 2026.
Seniority: mid.
Applications are handled by Glean Work. Apply on Glean Work

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsCloud InfrastructurePlatform EngineeringDevOpsSecurityKubernetesTerraformAWS

Also common in software engineer jobs at this level

Python Java C++Kubernetes TypeScript React

Pay

This job starts at: $200k
Typical software engineer job: $168k

This posting starts 19% above the typical software engineer job. See software engineer jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where cloud infrastructure was part of your work. What did you do?
Tell me about a project where platform engineering was part of your work. What did you do?
Tell me about a project where devops was part of your work. What did you do?
Tell me about a project where security was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI agents, Cloud Infrastructure, Platform Engineering, DevOps, and Security. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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