Hybrid opportunity at
DeliverooStaff Software Engineer, Event Streaming Systems
Deliveroo, which is now part of DoorDash, is seeking a Staff Software Engineer to join its Event Streaming Systems team in London. In this hybrid role,…
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About This Role
Deliveroo, which is now part of DoorDash, is seeking a Staff Software Engineer to join its Event Streaming Systems team in London. In this hybrid role, you will provide technical leadership for messaging and event streaming infrastructure that supports business-critical workflows across Deliveroo, DoorDash, and Wolt. This position sits within the storage organisation, where you will build and operate reliable platforms such as Kafka and internal event streaming abstractions known…
Job Description
Deliveroo, which is now part of DoorDash, is seeking a Staff Software Engineer to join its Event Streaming Systems team in London. In this hybrid role, you will provide technical leadership for messaging and event streaming infrastructure that supports business-critical workflows across Deliveroo, DoorDash, and Wolt. This position sits within the storage organisation, where you will build and operate reliable platforms such as Kafka and internal event streaming abstractions known as EventBus.
This role is designed for experienced engineers who excel at solving complex distributed systems challenges and defining technical visions for Tier-0 infrastructure. You will collaborate closely with groups such as Database Reliability, Storage, SRE, and Core Infrastructure to maintain scalability, cost-efficiency, and data safety at a global scale. Daily duties involve driving architectural decisions, mentoring engineers, improving operational readiness, and evaluating emerging streaming technologies to enhance developer experience.
Responsibilities
- Establish and guide the technical roadmap for messaging and event streaming platforms with a focus on reliability, developer experience, and scalability.
- Drive multi-team initiatives involving Kafka, EventBus, and associated streaming infrastructure from concept through architecture and rollout.
- Serve as a technical advisor for platform decisions related to storage, messaging, and database reliability across Deliveroo, DoorDash, and Wolt.
- Design extensible platform capabilities that minimize redundant effort and operational risk for other engineering teams.
- Troubleshoot and resolve complex distributed systems issues, production bottlenecks, and data-safety risks.
- Elevate operational standards for Tier-0 infrastructure via automation, observability, runbooks, and incident response.
- Partner with groups such as Storage, SRE, Data Platform, and Core Infrastructure to align goals and mitigate delivery risks.
- Mentor engineers through design reviews, feedback, code inspections, and knowledge sharing.
Requirements
- Significant background in creating, running, and evolving distributed systems within production environments for infrastructure or platform teams.
- Extensive hands-on expertise working with Kafka or comparable event streaming platforms as business-critical production dependencies.
- Demonstrated technical leadership history including defining technical strategy and guiding multi-engineer or cross-functional projects.
- Proficiency in programming languages such as Go, Java, Python, or similar tools geared toward scalable production systems.
- Strong command of distributed systems concepts, including networking, Linux, storage, JVM-based architectures, fault tolerance, and capacity planning.
- Experience elevating production reliability through observability, automation, incident management, and sustainable on-call routines.
Qualifications
- Contributions to open source distributed systems like Kafka.
- Familiarity with streaming technologies such as Redpanda, WarpStream, AutoMQ, or Pulsar.
- Background in JVM tuning, multi-region event streaming, or diskless streaming architectures.
- Experience running large-scale Tier-0 infrastructure, including incident leadership and post-incident programs.
- Exposure to database reliability, storage systems, data platforms, or DBRE practices.
- Practical use of automation or AI-driven operational tooling to boost reliability and incident response.
Core Skills
Benefits
- Competitive salary
- Equity options
Frequently Asked Questions
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What is the location and remote work policy for this role?
This is a hybrid position located in London.
What is the employment type?
The posting specifies that this is a full-time position.
What is the salary for this position?
The salary is not stated in the source posting.
What does the interview process typically involve?
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Sample Interview Questions
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