Staff Backend Engineer - Content Platform

What you'll Do

Define the technical direction for policy enforcement infrastructure 

Architect enforcement capabilities as a shared platform designed to be consumed by multiple product teams rather

Design and evolve multi-signal orchestration systems that enable configurable, auditable policy enforcement at scale across content types and product surfaces

Build the data foundation that makes enforcement decisions durable and reusable

Own the hardest API and contract decisions: schema design, versioning strategy, and how enforcement interfaces evolve without breaking the teams that depend on them

Establish integration standards for teams onboarding onto shared enforcement infrastructure, and work directly with consuming teams to execute migrations with clean cutoffs and clear end states

Influence architecture across detection, signal processing, and enforcement workflows so that the underlying primitives stay coherent as the platform scales

Mentor engineers and set the bar for how the team reasons about API design, data modeling, and the downstream compliance consequences of infrastructure choices

Who You Are

Deep experience designing and operating large-scale distributed systems, APIs, event-driven pipelines, rule engines, and decision systems running in production across high-throughput environments

Proficient in backend engineering at scale, with strong command of languages like Java, Kotlin, Go, or similar; comfortable owning data models, service contracts, and storage layer decisions

Experienced with stream processing and event-driven architectures  (Kafka, Pub/Sub, or equivalent) and the tradeoffs between batch and real-time enforcement pipelines

You have designed systems where schema and contract stability matter as much as correctness 

Experienced with workflow orchestration and distributed coordination, whether through dedicated orchestration frameworks like Temporal or Airflow, choreography-based event systems, or hybrid approaches, and understand the tradeoffs between each in the context of long-running, stateful enforcement workflows

Experienced with relational and non-relational storage systems and know how to model enforcement data for auditability, immutability, and efficient querying at scale

You understand platform engineering patterns: multi-tenant APIs, configurable rule engines, policy-driven actioning systems, and the difference between building for one team and building for many

Familiar with observability and operational excellence, distributed tracing, structured logging, alerting, and the tooling that makes enforcement systems debuggable and auditable in production

You have worked in regulated or compliance-adjacent environments and understand how infrastructure design decisions, log retention, schema choices, data lineage, carry legal and audit consequences

You are comfortable in polyglot environments and can navigate existing systems thoughtfully rather than defaulting to greenfield rewrites

You think in systems end-to-end

Where You'll Be

This role is based in London or Stockholm. 

We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.