Lead the infrastructure strategy for AI systems, solving complex engineering challenges, mentoring teams, and ensuring reliability and scalability of data pipelines.
Ready to shape the future of AI infrastructure and build systems that power the most advanced unstructured data pipelines in the world?
At Unstructured, we’re building the backbone of generative AI—enabling companies to transform PDFs, HTML, Word docs, images, and more into high-performance data pipelines that scale. Our tools are already used by half of the Fortune 500, and our open-source package has been downloaded 36+ million times. Now we’re entering our next chapter—and we’re hiring a Principal Infrastructure Engineer to help lead the charge.
If you're energized by hard problems, want to build systems that matter, and are ready to work alongside serious builders, this is your moment. We're looking for a hands-on technical leader—someone ready to own org-level infrastructure strategy, mentor engineers, and scale our systems with performance, security, and simplicity at the core.
🏢 This role is hybrid in San Francisco—join us in-office 3x a week for deep collaboration, whiteboard sessions, and hands-on impact.
🔧 What You’ll Own & Drive
🛠 Own the Infrastructure Backbone
Architect and scale resilient, secure, and high-performance infrastructure across the organization
Define and execute infrastructure strategy that aligns with product and business goals
🚀 Lead Strategic Initiatives
Drive cross-functional, high-impact infrastructure projects—compute, networking, orchestration, storage
Guide decisions that shape our CI/CD pipelines, observability, automation, and internal platforms
🔥 Solve the Hard Stuff
Own the resolution of persistent, high-stakes infrastructure problems—downtime, latency, deployment bottlenecks
Prevent future incidents through root cause analysis, mitigation design, and proactive reliability engineering
🧑🏫 Mentor & Multiply
Mentor engineers across the org and raise the bar on infrastructure best practices
Promote a culture of operational excellence, automation, and reliability
🧭 Drive Cross-Team Alignment
Resolve infrastructure escalations and unblock teams across product and engineering
Ensure internal platforms are simple, scalable, and enable fast product delivery
🏗 Make Foundational Impact
Influence how we build, deploy, and operate software now and in the future
Shape platform capabilities, developer experience, and long-term cloud strategy
🧬 What You Bring
10+ years of experience building and operating infrastructure or site reliability systems at scale
Expert-level knowledge of cloud platforms (AWS/GCP/Azure), containers (Docker, Kubernetes), and IaC (Terraform, etc.)
Strong Python skills and deep understanding of distributed systems architecture
Proven leadership across multi-team technical strategy and high-stakes decision making
Passion for debugging, systems thinking, and driving infrastructure simplicity
Excellent communicator—you bring clarity to complexity and inspire confidence across teams
💎 Bonus Points
Experience with AI/ML infrastructure, unstructured data workflows, or real-time data pipelines
Deep knowledge of observability tooling, production readiness, or platform security
Startup DNA—you move fast, operate well in ambiguity, and thrive when ownership is high
🌟 Why You’ll Love It Here
Real Impact: You’ll be at the heart of infrastructure powering cutting-edge AI in production
Big Challenges: Tackle hard, novel infrastructure problems in one of the most high-growth areas of tech
Elite Team: Work with sharp, humble engineers who obsess over quality and uptime
In-Person Energy: Be part of our San Francisco office culture—where systems get designed on whiteboards, not just Slack threads
Fast Growth: Help define foundational infrastructure as we scale rapidly into our next chapter
Top Skills
Aws,Gcp,Azure,Docker,Kubernetes,Terrraform,Python
Similar Jobs
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
As a Staff Software Engineer, you'll design and enhance Dropbox's core metadata infrastructure, lead technical strategies, and solve high-impact problems in distributed systems.
Top Skills:
C++Cloud EnvironmentsDistributed SystemsGoJavaPythonRustTransactional Databases
Artificial Intelligence • Cloud • Internet of Things • Machine Learning • Analytics • Industrial
Lead the strategic technology and systems engineering of Ethernet Communication design and capabilities while collaborating with architects and teams to develop enterprise-wide solutions.
Top Skills:
CanElectrical SystemsEmbedded SoftwareEthernet
Artificial Intelligence • Cloud • Internet of Things • Machine Learning • Analytics • Industrial
The Staff Systems Engineer leads strategic technology and systems engineering for Ethernet communication design, ensuring implementation across tools and processes.
Top Skills:
Can ProtocolsElectrical Systems DesignEmbedded Software DevelopmentEthernetNetworks Design
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering