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Deliveroo

Staff Software Engineer, Event Streaming Systems

Deliveroo is hiring a Staff Software Engineer, Event Streaming Systems in London, United Kingdom. Level rates it ; you can apply on Deliveroo.

Level's read on this job

  • On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions Kafka, event streaming and distributed systems among its tools and skills.
  • Deliveroo has 213 other open roles on Level.
  • Posted within the past week.

AI in this role

Provide technical leadership for event streaming infrastructure and Kafka platforms across global distributed systems.

kafka
event-streamingdistributed-systemsinfrastructureinfrastructure-engineeringarchitecture

Our Global Structure


Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.

Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do.

Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and merchants every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s (& Doordash’s) growth at scale.

We’re looking for a Staff Software Engineer to join our Event Streaming Systems team. This is a hybrid role.

In this role, you’ll provide technical leadership for the event streaming infrastructure that powers business-critical workflows across Deliveroo, DoorDash and Wolt. You’ll help define the long-term direction of our messaging and streaming platforms, lead high-impact technical initiatives across teams, and raise the reliability, scalability and operational excellence bar for Tier-0 infrastructure.

What You’ll Be Doing

You’ll be joining the Event Streaming Systems team within the broader Storage organisation. The team builds and operates highly reliable, scalable and efficient event streaming infrastructure, including Kafka, Event Streaming abstractions (internally called EventBus), messaging platform capabilities, and future streaming technologies. The team also partners closely with Database Reliability, Storage, SRE, Data Platform and Core Infrastructure teams to ensure our most critical data and messaging systems remain reliable, operable and cost-efficient at global scale.

These systems support Tier-0 workflows and are foundational to how engineering teams build reliable, event-driven products at scale.

Here’s what your day-to-day might look like:

  • Define and drive the technical vision and roadmap for our event streaming and messaging platforms, balancing reliability, scalability, cost, operability and developer experience.
  • Lead team-level and cross-team initiatives for Kafka, EventBus and related streaming infrastructure, from ambiguous problem definition through architecture, delivery, rollout and adoption.
  • Act as a trusted technical advisor for Kafka, messaging, storage-adjacent and DBRE-related platform decisions across Deliveroo, DoorDash and Wolt.
  • Design durable, extensible systems and platform capabilities that can be leveraged by other engineers and teams, reducing duplicated effort and operational risk.
  • Lead the resolution of complex distributed systems problems, including reliability incidents, performance bottlenecks, capacity constraints, data-safety risks and production-operability gaps.
  • Raise the operational excellence bar for Tier-0 infrastructure through observability, automation, incident response, runbooks, operational readiness and continuous improvement.
  • Proactively build alignment with partner teams, including EventBus, Storage, DBRE, SRE, Data Platform and Core Infrastructure, shaping joint goals and mitigating cross-org delivery risks.
  • Mentor and grow engineers through technical guidance, design, feedback, code review, incident review facilitation and knowledge-sharing across the engineering community.
  • Evaluate emerging streaming, storage and automation technologies, including AI-enabled operational tooling where appropriate, and champion pragmatic adoption where they can materially improve quality, velocity or efficiency.

What You’ll Need to Thrive

Our ideal candidate will bring deep expertise in several of these areas and the judgment to lead others through ambiguity:

  • Significant experience building, operating and evolving distributed systems in production, ideally for platform or infrastructure teams supporting critical workloads.
  • Deep hands-on experience with Kafka or comparable event streaming systems as a platform, infrastructure service or business-critical production dependency.
  • Strong technical leadership skills, with a track record of defining technical direction, shaping roadmaps and leading multi-engineer or cross-team initiatives.
  • Ability to make and own technical decisions in ambiguous situations, using data, operational signals, customer needs and long-term system health to guide tradeoffs.
  • Strong coding ability in Java, Go, Python or similar languages, with a focus on reliable, maintainable, observable and scalable production systems.
  • Experience improving production reliability through automation, observability, capacity management, incident response, operational readiness and sustainable on-call practices.
  • Strong distributed systems fundamentals, including Linux, networking, storage, JVM-based systems, fault tolerance, backpressure, capacity planning and performance tuning.
  • A force-multiplier mindset: you create leverage through reusable technical foundations, clear documentation, strong engineering practices, mentoring and removing single points of failure.
  • Strong communication and stakeholder management skills, with the ability to influence platform, infrastructure, product and reliability teams without relying on authority.

Nice to have

  • Experience contributing to Kafka or related open source distributed systems.
  • Experience with Redpanda, WarpStream, AutoMQ, Pulsar or similar streaming technologies.
  • Experience with JVM tuning, diskless streaming architectures or multi-region event streaming platforms.
  • Experience operating Tier-0 infrastructure at large scale, including incident leadership and post-incident improvement programs.
  • Experience with database reliability, storage systems, data platforms or DBRE practices in addition to event streaming.
  • Experience using automation or AI-assisted operational tooling to improve reliability, developer experience or incident response quality.

Why Join Us?

At Deliveroo (Doordash), you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving.

We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better.

Working here you can expect to:

  • 🔧 Solve meaningful problems at real scale. Work on complex, always-on infrastructure that impacts millions every day.
  • 🌱 See your impact, fast. Shape the direction of foundational platforms used by teams across Deliveroo, DoorDash and Wolt.
  • 🧠 Grow through challenge and ownership. Lead ambiguous, high-impact technical problems with strong support from peers and leaders.
  • 🌎 A culture built for builders. High standards, collaboration, flexible working and continuous learning.
  • 💰 Share in the success you help create. Competitive salary and equity options, so you’re rewarded for the impact you make.

➡️ Want a deeper look at how we build? Check out our Tech Blog.

 

 

Diversity, Equity and Inclusion

At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.

We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.

If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.

If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!


Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness.

How we rate this

Staff Software Engineer, Event Streaming Systems at Deliveroo rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Event StreamingDistributed SystemsInfrastructureInfrastructure EngineeringArchitectureKafka

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where event streaming was part of your work. What did you do?
  2. Tell me about a project where distributed systems was part of your work. What did you do?
  3. Tell me about a project where infrastructure was part of your work. What did you do?
  4. Tell me about a project where infrastructure engineering was part of your work. What did you do?
  5. Tell me about a project where architecture was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Event Streaming, Distributed Systems, Infrastructure, Infrastructure Engineering, and Architecture. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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