Staff Backend Engineer - Content Platform

What you'll be doing

  • Define the technical direction for policy enforcement infrastructure
  • Architect enforcement capabilities as a shared platform for multiple product teams
  • Design and evolve multi-signal orchestration systems enabling configurable, auditable policy enforcement at scale
  • Build the data foundation for durable and reusable enforcement decisions
  • Own API and contract decisions including schema design and versioning strategy
  • Establish integration standards and manage team migrations onto shared enforcement infrastructure
  • Influence architecture across detection, signal processing, and enforcement workflows
  • Mentor engineers and set standards for API design, data modeling, and compliance-related infrastructure choices

Requirements

  • Deep experience designing and operating large-scale distributed systems, APIs, event-driven pipelines, and decision systems in high-throughput environments
  • Proficient in backend engineering with languages like Java, Kotlin, Go, or similar
  • Experienced with stream processing and event-driven architectures such as Kafka or Pub/Sub
  • Skilled in designing systems where schema and contract stability are critical
  • Familiar with workflow orchestration and distributed coordination using frameworks like Temporal or Airflow
  • Experienced with relational and non-relational storage systems for auditability and efficient querying
  • Knowledgeable about platform engineering patterns including multi-tenant APIs and configurable rule engines
  • Familiar with observability practices like distributed tracing, structured logging, and alerting for production systems
  • Experience working in regulated or compliance-related environments understanding legal and audit implications
  • Comfortable working in polyglot environments and managing existing systems thoughtfully
  • Strong systems thinking skills end-to-end

Where you'll be

  • Role based in London or Stockholm
  • Flexible work location policy with a combination of in-person meetings and remote work
AI Summary ✨

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