At a Glance
- Tasks: Lead customer deployments and manage AI platform infrastructure with innovative technologies.
- Company: Join a cutting-edge tech company transforming customer experiences with AI.
- Benefits: Enjoy flexible time off, health benefits, and a supportive work culture.
- Other info: Dynamic environment with opportunities for personal and professional growth.
- Why this job: Make a real impact in AI while collaborating with industry leaders.
- Qualifications: Fluent in Spanish and English, with 4+ years in infrastructure or DevOps roles.
About us At the company, we’re building a platform to enable every company in the world to build better, more human customer experiences with AI.
We partner with industry leaders such Soft Bank, Uber, Rivian, CLEAR, and Sutter Health.
We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family.
These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor and Clay Bavor.
Bret currently serves as Board Chair of Open AI.
Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook.
Bret was also one of Google's earliest product managers and co-creator of Google Maps.
Before founding the company, Clay spent 18 years at Google, where he most recently led Google Labs.
Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens.
Before that, Clay led the product and design teams for Google Workspace.
What You’ll Do
As a Forward Deployed Infrastructure Engineer at the company, and a founding member of this function, you will own the end-to-end lifecycle of customer deployments, while helping define how the company’s AI platform is deployed and operated across enterprise environments.
You'll work directly with enterprise customers to architect, deploy, upgrade, and manage the company's AI platform infrastructure — ensuring every deployment meets their security, compliance, and operational requirements.
In addition, you’ll establish the standards, tooling, and processes that make deployments scalable and repeatable, and partner cross-functionally with Engineering, Product, Sales, and Customer Success.
This role will define how the company scales some of its most complex customer engagements.
- Own deployment architecture conversations and execution — designing and implementing deployment strategies across customer environments, including VPC configuration, permissioning, networking, and infrastructure provisioning.
- Manage the full infrastructure lifecycle for some of the company’s most critical customers: initial deployment, ongoing upgrades, scaling, and incident support.
- Develop and maintain deployment runbooks, upgrade procedures, and automation tooling to make operations repeatable and reliable.
- Partner with engineering teams to ensure the company's platform is deployable and operable across diverse customer requirements.
- Work with customers' platform engineering, security, and Dev Ops teams to navigate their infrastructure constraints and compliance requirements.
- Collaborate with Sales and Customer Success to scope infrastructure requirements during pre-sales and onboarding, translating customer needs into concrete deployment plans.
What You’ll Bring
- Language fluency - professional fluency in both Spanish and English.
- 4+ years of experience in infrastructure, Dev Ops, platform engineering, or solutions architecture roles — with significant time spent on customer-facing deployment work.
- Deep experience with AWS services, Terraform, container orchestration, and cloud networking (VPCs, IAM, DNS, load balancing).
- Track record of managing deployments in customer-owned cloud environments, including navigating security reviews, compliance requirements, and change management processes.
- Ability to navigate ambiguity with enterprise stakeholders — from platform engineers to CISOs — and turn infrastructure conversations into actionable deployment plans.
- Strong operational instincts: you think about upgrades, rollbacks, monitoring, and failure modes from the start, not as an afterthought.
- Comfortable working in a fast-moving environment and collaborating across engineering, product, and go-to-market teams.
- Degree in Computer Science or a related field, or equivalent professional experience.
Even better...
- Hands-on experience with Go services, Graph QL APIs, or LLM infrastructure in production environments.
- Past experience at an early-stage company where you built deployment operations, playbooks, and tooling.
- Familiarity with observability and incident management in distributed systems (Prometheus, Grafana, Datadog, or similar).
- Experience with CI/CD pipeline design, deployment automation, or infrastructure self-service tooling for enterprise customers.
Our values
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness.
We build trust in AI by making it more accessible, safe, and useful.
We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer
Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones.
Everyone at the company knows and spends time with our customers.
When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture.
We have good taste.
When we notice something isn’t right, we take the time to fix it.
We are proud of the products we produce.
We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience.
We play to win.
We care about our product being the best, and when it isn’t, we fix it.
When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes.
We are the best technology company for parents.
We support and respect each other and celebrate each other’s personal and professional achievements.
What we offer
- We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in the company’s policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans.
Eligible full-time employees can participate in the company’s equity plans subject to the terms of the applicable plans and policies.
Be you, with us
We’re working to bring the transformative power of AI to every organization in the world.
To do so, it is important to us that the diversity of our employees represents the diversity of our customers.
We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team.
We encourage you to apply even if your experience doesn't precisely match the job description.
We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Compensation: £190K – £285K Offers Equity
- £190K – £285K Offers Equity
- #J-18808-Ljbffr
Forward Deployed Infrastructure Engineer (Spanish speaking) employer: United States Digital Space LLC
United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Infrastructure Engineer (Spanish speaking)
✨Join Local Tech Meetups
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We think you need these skills to ace Forward Deployed Infrastructure Engineer (Spanish speaking)
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at United States Digital Space LLC.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at United States Digital Space LLC and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
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How to prepare for a job interview at United States Digital Space LLC
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If United States Digital Space LLC uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.