Senior Infrastructure Engineer

cloudx

United States

Remote

USD 150,000 - 300,000

Full time

14 days+
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Benefits offered by this job

Equity compensation
Medical, dental and vision benefits
Hardware budget

Job summary

CloudX is building a new, AI-native, globally distributed advertising platform. We are seeking a Senior Infrastructure Engineer to design and implement the core infrastructure, lead by example, and ensure high reliability at scale.

You’ll work with a distributed team across time zones, emphasize asynchronous collaboration, and own critical systems end-to-end. You’ll be responsible for data pipelines, network architecture, deployment strategies, and incident response, while collaborating closely

Qualifications

  • Infrastructure platforms and tooling built to support product delivery.
  • Experience operating in an on-call, incident response model.
  • Strong written communication for cross-team collaboration.
  • Comfort shipping with startup-level grit and rigor.

Responsibilities

  • Design and implement core infrastructure to enable global-scale auctions.
  • Lead by example to improve testing and reliability of the platform.
  • On-call incident response and reducing operational burden.

Skills

Infrastructure platform
DevOps/SRE
Hands-on engineering
Written communication
Startup mindset
AI in engineering
Ownership

Tools

AWS
Terraform
EKS
ArgoCD
GitHub
PostgreSQL
ClickHouse
Datadog
Golang

Job description

Senior Infrastructure Engineer
About CloudX
At CloudX we’re building a new supply-side advertising platform for mobile publishers. We’re convinced that an AI-native product will significantly advance the state of the art in mobile advertising; we recently raised a $30M Series A in order to bring this dream to life. We have a long history of innovation in this space — our founding team previously built MoPub (sold to Twitter for $350M) and MAX (acquired by AppLovin). Our new platform combines real technical improvements like verifiably fair auctions with a truly AI-native product experience to give publishers unprecedented control over their ad monetization strategy.
About The Team
Our Engineering team is distributed and remote— spanning UTC-8 to UTC+6, with core working hours of roughly the US Eastern business day. We have a strong ownership culture and are heavily collaborative, relying primarily on asynchronous, written, communication for coordination. We ship daily and believe that fast CI and good test coverage is the best way to remain productive as we scale. We’re small and high trust; we optimize for rapid iteration and experimentation. Everyone has access to the latest AI tools, but rather than generating vibe-slop we use them pragmatically to build better products. We are lucky to work closely with our talented Product and Business teams to make sure we’re building the right things. It’s a true early-stage startup with lots of important work to go around.
What you'll do
We are looking for a Senior Infrastructure Engineer who can help us build a high-reliability, high-throughput, high-performance, globally-distributed advertising platform. Our customers will rely on our platform to run thousands of advertising auctions per second, all day every day, in order to show ads to their customers. This industry has evolved to the point where reliable performance is table-stakes — we won’t get a pass just because we’re a new startup. You’ll work extremely closely with the rest of our engineering team to make sure that the entire product is designed to operate at global scale. We’ll rely on you to design and implement the fundamental infrastructure necessary for our success. Your key responsibilities will be:
  • Infrastructure Engineering: helping design our data pipelines, our network architecture, our deployment strategies, and any other aspect of our product that involves core infrastructure. We’ll rely on you to be the expert in the room as well as a hands-on engineer capable of doing the work yourself (but not alone!)
  • Technical Leadership: lead by example to help develop our engineering team’s practices, particularly when it comes to testing and scaling a product whose core functionality involves large-scale, complex, sensitive, data processing.
  • Incident Response: alongside the rest of us, you’ll be on-call for the systems we build. You’ll play a large part in helping us minimize our operational burden through process design and shift-left mentality, but at the end of the day we all have to keep the code running.
Who you are
We encourage you to apply if you meet these requirements:
  • Infrastructure Platform Experience: you’ve built platforms, tools, and capabilities that other engineers can rely upon to deliver a best-in-class product. You know how to abstract over YAML templating in a way that other engineers can understand and use without pain. You like solving problems in a re-usable way that makes it easier for the entire team to succeed.
  • DevOps/SRE Experience: you’ve been on-call before and have a good sense for how teams can minimize operational burden. Maybe you’ve had to play hero before, but you’d prefer that everyone gets reliable, consistent, sleep, because the foundation we’re building is rock-solid.
  • Hands-on expertise: you may have managed or led at points in your career, but you still code regularly and are interested in continuing to do so. You’ve been in charge of larger projects or initiatives and know how to work well with others.
  • Strong written communication skills: you are used to writing about, speaking about, and generally communicating complex technical subject matter both to other engineers and to non-engineers.
  • Early-stage mentality: you understand that success at a startup involves grit and determination. You have good taste when it comes to trading off speed vs. perfection. You know when to cut corners but aren’t afraid to advocate for rigor when you believe it’s necessary.
  • AI forward: you are actively experimenting with or using AI as part of your software engineering practice. You don’t send vibe-coded slop to your teammates to review, but you use AI appropriately to achieve great results.
  • High ownership: you care a lot about your work and when you ship a product, you make sure it continues to solve problems for the customer. You care a lot about the customer, the overall business, and are constantly trying to help achieve success — with or without code.
While not required, we’re particularly interested in candidates with:
  • Adtech experience: you’ve worked in adtech, particularly mobile adtech, and have a good understanding of the broader ecosystem and market.
  • Stack experience: we’re running in AWS, we use terraform to manage infra, we use EKS for kubernetes clusters, we deploy with ArgoCD, we merge code with Github, we write a lot of Golang, we put application state in Postgres, we store a lot of event data in Clickhouse, we use Datadog for observability. Familiarity with any or all of these, particularly AWS and EKS, is a strong positive.
In general, we’re looking for people with grit, passion, and talent. If you’re not sure if this role is an exact fit, we encourage you to apply. Many members of our team have had interesting career paths and we relish the chance to work with extraordinary individuals.
Pay and Benefits
The annual US base salary range for this role, and other engineering roles, is $150,000 – $300,000. This salary range is broad in order to accommodate a wide range of candidates; the interview process will narrow it down based on a number of factors, including your experience, qualifications, and location.
We offer equity compensation and top-tier medical, dental, and vision benefits.
We also have a generous hardware budget for a computer, monitor, and other core equipment necessary to work effectively on a remote team.
We care about the quality of your work more than the specific hours you spend getting it done, and try to minimize the number of synchronous meetings in favor of greater flexibility. There is no in-office requirement.
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