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Senior Software Engineer - Anti-Abuse

in 10115, Berlin, Berlin, Deutschland
Unternehmen: EF
Vollzeit position
Verfasst am 2026-10-03
Berufliche Spezialisierung:
  • Software Entwicklung
    Cloud-Ingenieur - Software, Backend Entwicklung, DevOps Ingenieur
Gehalts-/Lohnspanne oder Branchenbenchmark: 90000 - 140000 EUR pro Jahr EUR 90000.00 140000.00 YEAR
Stellenbeschreibung
Sound Cloud empowers artists and fans to connect and share through music. Founded in 2007, Sound Cloud is an artist-first platform empowering artists to build and grow their careers by providing them with the most progressive tools, services, and resources. With over 400+ million tracks from 40 million artists, the future of music is Sound Cloud.

Sound Cloud is looking for a Senior Backend Engineer to join our Anti-Abuse Team
, with a mission to keep connections between fans and creators safe and authentic, while building and operating an abuse prevention platform at global scale. The role can be based in either our Berlin or London office.

Our services are at the heart of Sound Cloud’s user journeys. We operate a substantial suite of event-based services, combining specialised and generalised detection approaches to tackle complex architectural problems where scale, adaptability and fast decision-making are critical.

You’ll join a self-sufficient team passionate about abuse prevention, building scalable and adaptable solutions that stay ahead of emerging risks. The role combines long‑term platform and architecture work with rapid response to new abuse vectors, giving you the opportunity to solve both strategic and time‑sensitive engineering problems.

You’ll have significant end-to-end ownership to identify problems, shape solutions and drive projects from the ground up, working directly with engineering and T&S Professionals. If you’re creative, proactive and enjoy being the expert who turns complex problems into effective solutions, you’ll have plenty of room to make an impact.

Key Responsibilities

  • Build and evolve reusable platform capabilities and services that enable other teams to detect and respond to emerging abuse patterns at scale
  • Shape the platform architecture and technical strategy, balancing long‑term scalability with rapid responses to emerging challenges
  • Partner with Product, Analytics, Trust & Safety professionals, and Engineering teams to identify and address abuse patterns across the organisation, driving alignment on solutions and communicating complex technical concepts clearly to diverse stakeholders.
  • Own problems end‑to‑end, from identifying opportunities and defining solutions to driving projects through delivery
  • Make pragmatic technical decisions, balancing cost, latency, complexity, scalability and maintainability
  • Drive architecture discussions, contribute to technical strategy, and improve engineering practices, processes and tooling.
  • Debug complex issues across data pipelines and distributed systems
  • Continuously learn and share knowledge of industry best practices in abuse prevention and detection
  • Be part of on‑call rotation to ensure the reliability and availability of Sound Cloud’s systems

Preferred Qualifications:

  • Experience designing APIs and backend services consumed by multiple client platforms
  • Strong SQL skills for massive datasets (e.g. Big Query or similar)
  • Knowledge of different API communication patterns (e.g., gRPC, GraphQL)
  • Strong professional experience with Go; experience with Scala or another language is a plus
  • Nice to have:
    Experience in abuse prevention, fraud detection or Trust & Safety is a plus
  • Nice to have:
    Experience using AI‑assisted development tools and a strong intuition for their strengths, weaknesses, and emerging opportunities
Experience and Background
  • Extensive professional software engineering experience, including significant experience designing and operating distributed, event‑driven backend systems at scale.
  • Hands‑on experience with infrastructure as code (IaC) using Terraform and cloud‑native environments such as AWS or GCP
  • Experience in building distributed data processing and ETL pipelines, metrics and supporting ML infrastructure
  • Experience…
Stellen-Anforderungen
10+ Jahre Berufserfahrung
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