Director Of Engineering, Messaging Infrastructure

Klaviyo

Dublin, Ireland
Base: €160.000; bonus/equity: not specified; benef...
On-site
Large-scale distributed systems
Low-latency messaging
High-throughput platforms
Lead teams building and operating the core, multi-tenant platform for sending and receiving messages at massive scale across multiple channels

Job Summary

  • Lead teams building and operating the core, multi-tenant platform for sending and receiving messages at massive scale across multiple channels.
  • Increase deliverability and throughput by advancing MTA/SMS provider strategies, queueing, rate-limiting, and feedback processing.
  • Build and scale a high-performing organization of managers and senior ICs, raising the talent bar through crisp expectations and career growth paths.

Matching Summary

Lead teams building and operating the core, multi-tenant platform for sending and receiving messages at massive scale across multiple channels.

Salary

Base: €160.000; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Large-scale distributed systems
  • Low-latency messaging
  • High-throughput platforms
  • Deliverability and cost optimization
  • Compliance and safety hardening
  • Developer velocity acceleration
  • AI integration for workflows

Nice-to-have

  • Platform strategy and roadmap
  • Operational excellence and SLOs
  • Cross-functional partnership
  • Engineering quality elevation
  • Talent and culture building
  • Continuous AI experimentation

Key Requirements

  • 12-18 month technical strategy
  • High-throughput streaming architecture
  • Durable queues and idempotent processing
  • Multi-tenant isolation
  • Multi-region failover
  • Observability-first development
  • SLOs and on-call practices
  • Blameless incident reviews
  • Cost efficiency and capacity planning
  • Customer requirements alignment
  • Design reviews and threat modeling
  • Test strategies and change management
  • Hiring exceptional people
  • Developing managers
  • Modeling urgency, ownership, and accountability
  • Rewarding impact
  • Experimenting with AI tools
  • Sharing AI learnings
  • Integrating AI into workflows

Work Rights

Not specified

Tailored Resume

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