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Spotify

Staff Backend Engineer – Content Platform

Spotify

. Define the technical direction for policy enforcement infrastructure .

Posted 11/5/2026full-timeLondon • United KingdomLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and operating large-scale distributed systems, APIs, and event-driven architectures, with a strong focus on compliance-aware infrastructure and data modeling for auditability. Proven ability to mentor engineers and influence architectural decisions across multiple product teams.

Highest-signal resume keywords
Large-Scale Distributed Systems DesignAPI Development and ManagementEvent-Driven Architecture (Kafka, Pub/Sub)Data Modeling and Storage DecisionsCompliance-Aware Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
JavaKotlinGoEvent-Driven PipelinesRule EnginesWorkflow OrchestrationRelational Storage SystemsNon-Relational Storage SystemsSchema DesignProduction Decision Systems
Soft Skills
MentoringCollaborationInfluencing ArchitectureEnd-to-End Thinking
Tools & Technologies
KafkaPub/SubTemporalAirflowObservability ToolsDistributed TracingStructured Logging
Industry Keywords
Regulatory ComplianceContent ModerationAuditabilityData LineageLegal Consequences

Tech Stack

Tools & technologies
AirflowDistributed SystemsJavaKafkaKotlinGo

About the role

Key responsibilities & impact
  • Define the technical direction for policy enforcement infrastructure
  • Architect shared enforcement capabilities for consumption by multiple product teams
  • Design and evolve multi-signal orchestration systems for configurable, auditable policy enforcement at scale across content types and product surfaces
  • Build the data foundation that makes enforcement decisions durable and reusable
  • Own API and contract decisions, including schema design, versioning strategy, and evolution of enforcement interfaces
  • Establish integration standards for teams onboarding onto shared enforcement infrastructure
  • Work directly with consuming teams to execute migrations with clean cutoffs and clear end states
  • Influence architecture across detection, signal processing, and enforcement workflows
  • Mentor engineers and set standards for API design, data modeling, and compliance-aware infrastructure decisions
  • Collaborate with Licensing, Trust & Safety, Legal, and Public Affairs to build content moderation and regulatory compliance infrastructure

Requirements

What you’ll need
  • Deep experience designing and operating large-scale distributed systems, APIs, event-driven pipelines, rule engines, and production decision systems in high-throughput environments
  • Proficient in backend engineering at scale, with strong command of Java, Kotlin, Go, or similar languages
  • Experience owning data models, service contracts, and storage layer decisions
  • Experience with stream processing and event-driven architectures such as Kafka, Pub/Sub, or equivalent
  • Understanding of batch versus real-time enforcement pipeline tradeoffs
  • Experience designing systems where schema and contract stability are critical
  • Experience with workflow orchestration and distributed coordination, including Temporal, Airflow, choreography-based event systems, or hybrid approaches
  • Experience with relational and non-relational storage systems
  • Ability to model enforcement data for auditability, immutability, and efficient querying at scale
  • Understanding of platform engineering patterns, including multi-tenant APIs, configurable rule engines, and policy-driven actioning systems
  • Familiarity with observability, distributed tracing, structured logging, alerting, and production debugging and auditing tools
  • Experience in regulated or compliance-adjacent environments
  • Understanding of legal and audit consequences related to infrastructure design, log retention, schema choices, and data lineage
  • Comfort working in polyglot environments and navigating existing systems thoughtfully
  • Systems-level, end-to-end thinking

Benefits

Comp & perks
  • Equal opportunity employer
  • Reasonable accommodations during the interview process
  • Flexibility to work from home
  • In-person meetings with flexible work arrangements