As our first dedicated infrastructure hire, you will own the deployment architecture for our Enterprise Agent OS. You will design multi-cloud systems for VPC, private cloud, and air-gapped environments, enabling Fortune 100 customers to run agents securely. This foundational role bridges AI innovation with robust enterprise-grade infrastructure and developer tooling.
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Senior Platform and Infrastructure Engineer at Context
Context is building the Enterprise Agent OS, and they're looking for their first dedicated Platform Engineer to own how AI agents deploy into the world's largest companies. Backed by Lux Capital and General Catalyst with an $11M seed, Context is already live in Fortune 100 environments. You'll architect multi-cloud and air-gapped infrastructure that allows agents to execute complex workflows within a secure perimeter. If you want to define the infra layer for the next wave of AI productivity and work directly with a world-class team in San Francisco, this is your ground-floor opportunity.
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Location
San Francisco, United States
Compensation
Not Disclosed
Company
Context
Role overview
Context is an AI company that deploys agents inside enterprise systems to execute real workflows, learn from team corrections, and improve over time. It unifies company knowledge to create documents, slides, spreadsheets, research, and code from prompts, transforming workflows with production-ready AI outputs within security perimeters.
What you will do
- Design and build multi-cloud deployment infrastructure across AWS, Azure, and GCP to support VPC and air-gapped on-prem installs.
- Create high-polish developer tooling and infrastructure-as-code practices that enable seamless, secure deployments for enterprise-scale clients.
- Architect networking and security perimeters that allow AI agents to connect to 300+ enterprise tools while inheriting full permission structures.
Who this is a fit for
- 3-7 years of experience with cloud infrastructure, specifically mastering VPC architecture, networking, and security protocols in regulated environments.
- Proven track record of building deployment systems for enterprise SaaS or private cloud products, ideally within a fast-paced startup setting.
- Strong proficiency with modern infrastructure tools and a deep interest in AI/ML infrastructure, Vercel deployments, and developer experience.
Why this role is remarkable
- Direct ownership of the infrastructure layer for a company already live in production with Fortune 100 and government customers.
- Massive financial backing with a $11M seed round at a $70M valuation from top-tier investors like Lux Capital, General Catalyst, and Qualcomm Ventures.
- Rare opportunity to join a lean 7-person engineering team led by a Thiel Fellow, shaping the deployment standards for the next generation of enterprise AI.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Context wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.