The Senior Fullstack Engineer will deliver software products, collaborate with product and business teams, lead technical practices, and ensure high-velocity iteration on a mobile advertising platform.
Senior Fullstack Engineer
About CloudX
About The Team
What you'll do
Who you are
Pay and Benefits
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.
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.
We are looking for a Senior Fullstack Engineer who thinks like a Product Owner. You will work closely with our Product and Business teams to understand our customers’ painpoints, design solutions, and actually write and ship code to directly solve problems. Your key responsibilities will be:
- Software Engineering: deliver a best-in-class product. Do this in a way that makes everyone on the engineering team more efficient by directly building the systems, tools, and frameworks needed to allow high-velocity iteration.
- Product Ownership: work with the product team, business team, and directly with our customers to come up with new features and improvements that impact our product development roadmap.
- 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.
We encourage you to apply if you meet these requirements:
- 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.
- True fullstack experience: while you may be stronger on the backend or on the frontend, you are strong in either domain and have a track record of delivering projects involving both.
- 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.
- AI product experience: you’ve built products or side projects that involve AI. You have a decent idea about what’s possible with current models and APIs, as well as a sense for what might be possible in the near future. You’ve spent time actually integrating with large foundation model APIs.
- Stack experience: our backend is written in Golang, we put application state in Postgres, we store a lot of event data in Clickhouse, we use Datadog for observability. Our frontend is Typescript, React, Vite, Tailwind, Biome, ESlint. We deploy on Vercel. Familiarity with any or all of these, particularly Golang and React, 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.
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.
Similar Jobs
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Generative AI
Build and maintain internal applications that support annotators, ML researchers, product managers, and other stakeholders. Develop user-facing browser and server experiences using full-stack technologies, design resilient mission-critical systems, improve engineering velocity, and collaborate through pairing, architecture, documentation, and technical talks. The role requires comfort across frontend and backend development, complex SQL, stakeholder collaboration, and adoption of new technologies.
Top Skills:
Next.JsPythonReactSQLTypescript
.png)
Cloud • Fintech • Other • Software
Build and scale CaptivateIQ’s sales planning platform using Django, Python, React, and TypeScript. Develop quota, capacity, territory management, and AI-enabled revenue planning capabilities. Collaborate with product and design, optimize performance for enterprise data volumes, design reliable APIs and data models, maintain production observability and testing standards, and mentor engineers. The role also supports AI evaluation, guardrails, feedback loops, and human-in-the-loop workflows.
Top Skills:
Ai Evaluation ToolsDatabasesDjangoPythonReactTypescript
Information Technology • Cybersecurity
Senior Full Stack Software Engineer responsible for building and owning scalable cybersecurity product experiences across front-end and back-end systems. The role uses TypeScript, Golang, React, Node.js, Kubernetes, cloud platforms, databases, APIs, and CI/CD pipelines. Responsibilities include architecture, performance optimization, security, mentoring engineers, leading projects, Agile planning, and adopting AI-assisted development tools.
Top Skills:
Amazon EcsArgo CdAWSAzureDocker SwarmGCPGithub ActionsGitlabGoGraphQLGrpcJenkinsJwtKafkaKubernetesMongoDBMySQLNode.jsOauthPostgresPrometheusReactRestTypescript
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
