About CreativeX

CreativeX is building the system of creative control for an AI-first marketing world. As AI changes how content is made, evaluated and distributed, the world's biggest brands need a trusted way to bring consistency, intelligence and governance to their creative at scale.

For more than a decade, we've helped brands including Google, PepsiCo, Heineken and P&G power every creative decision with data. Our platform combines machine learning with expert human review to turn ad creative into structured data, so marketers can see what works, prove its impact on sales and brand, and improve it across markets and platforms.

About the Role

Every CreativeX product runs on infrastructure our Platform Engineering team owns, from ingesting ad creative at scale to serving the creative scoring our customers rely on. As a Senior Software Engineer on that team, you'll own the reliability, performance and scalability of our production infrastructure. That means designing, operating and evolving the systems themselves, not only running code on top of them.

We're investing in our core architecture: evolving our data layer, scaling the infrastructure that runs our processing pipelines and automating more of how we operate. You'll lead the database migrations and rearchitecture work that make this possible, and build the tooling that lets other engineers deploy, test and debug on their own. You'll write production code, but most of your impact will come from how our systems are designed, run, observed and scaled.

We're looking for a change agent. You challenge the status quo, you look at a system that works and want to make it faster, more reliable and easier to run, and you bring other teams along with you. This is an opportunity to shape the platform that CreativeX's next stage of growth is built on.

You'll be responsible for the reliability and performance of our production systems, database migrations and rearchitecture, the scaling and observability of our infrastructure, and the self-service tooling our engineers use every day.

What you'll do

Reliability and incident response

Own, and be the go-to expert for, the reliability and performance of our production systems
Set and meet reliability and performance targets for the platform
Respond to production incidents and lead post-incident reviews that result in lasting fixes. We don't have a formal on-call rotation yet (it's coming), so we expect flexibility when incidents happen

Database migrations and rearchitecture

Lead database migrations and rearchitecture projects across teams, from planning and risk assessment through cutover and rollback, with minimal disruption to customers

Infrastructure scaling and observability

Scale the infrastructure that runs our data processing pipelines, keeping it reliable and performant as data volumes and throughput grow
Improve observability, monitoring and alerting across our systems, using AI-assisted workflows to cut manual investigation and repetitive operational work

Developer platform and tooling

Build self-service tools and automation that let engineers deploy, test and debug on their own
Maintain and improve staging and development environments, deployment automation and testing infrastructure

Security and cross-team partnership

Collaborate with Information Security, Product and the wider engineering team to keep our systems secure and flag feasibility and scalability risks early

Where you'll make an impact in the first 90 days:

Learn our production architecture, data layer and deployment pipeline well enough to make changes safely, and ship improvements to production
Assess our current database setup and agree a plan with engineering leadership for the first major migration or rearchitecture, including risks, sequencing and rollback
Deliver at least one reliability or observability improvement that other teams notice, such as fixing a noisy alert or replacing a recurring manual request with a self-service tool

Where you'll make an impact in the first year:

Lead at least one major database migration or rearchitecture to completion without unplanned customer-facing downtime