Software Engineer

SOFTWARE ENGINEER, NEW GRAD 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 partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for a Software Engineer to join our London team. In this role, you’ll help us build the future of on-demand delivery, contributing to the services that power our global marketplace. Get to know our Engineering team — what drives us, how we work, and what you can expect. WHAT YOU’LL BE DOING You’ll be joining a high-impact engineering team at our London headquarters. As a New Grad, you will work on production systems that impact millions of users, supported by a world-class team of engineers. HERE’S WHAT YOUR DAY-TO-DAY MIGHT LOOK LIKE: * Ship high-quality code: Improve code structure and contribute to the architecture of services using languages like Go, Ruby, Python, or Scala. * Own your features: Take ownership of specific pieces of work, assisting with design, technical implementation, and influencing your team's roadmap. * Operational excellence: Aim to simplify the maintenance and health of production systems, ensuring operational readiness and visibility. * Collaborate cross-functionally: Build relationships with other engineering teams to identify collaboration opportunities and solve complex marketplace problems. * Grow through mentorship: Benefit from the support of senior colleagues while eventually supporting the growth of your peers through code reviews and knowledge sharing. WHAT YOU’LL NEED TO THRIVE Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: * Foundational Knowledge: A degree in Computer Science or a related technical field (graduated within the last year). * Software Craftsmanship: Pride in writing readable, well-designed, and thoroughly tested software. * Technical Curiosity: Experience writing web-based applications in any language and a strong interest in learning our stack (Go, Ruby/Rails, Python, Scala, or Rust). * Data Fundamentals: Familiarity with relational databases (such as PostgreSQL or MySQL). * Problem Solving: A proven ability to break down complex logistical or technical problems into manageable software solutions. * Right to Work: Applicants must be authorised to work in the U.K. to be considered for this position. WHY JOIN US? At Deliveroo, 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 a complex, always-on marketplace that impacts millions every day. * 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. * 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. * 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. ➡️ Want a deeper look at how we build? Check out our Tech Blog. We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. 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. 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! This role is based in Deliveroo’s London headquarters at Cannon Bridge House and requires in-office attendance at least 3 days a week.

SOFTWARE ENGINEER, GENAI PLATFORM ABOUT THE TEAM Deliveroo's GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalization to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. ABOUT THE ROLE You will join a small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, with a primary focus on our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll work across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability. This role is ideal for an engineer who enjoys pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly. YOU’RE EXCITED ABOUT THIS OPPORTUNITY BECAUSE YOU WILL… * Build the infrastructure that helps Deliveroo teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company. * Work on our open-weights serving stack — real-time GPU endpoints, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) — alongside the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. * Design scalable, high-performance systems for model serving, batch inference, GPU autoscaling, and fine-tuning that power real customer and internal automation use cases * Push the cost and latency frontier of GPU inference — turning batch jobs that took days into hours and cutting inference cost by multiples — while giving product teams a clean choice across open-weight and closed-source models with reliability, fallback, observability, and cost controls built in. * Build platforms that support rapid experimentation while meeting production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence. * Partner closely with ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives. * Shape the future of the centralized GenAI platform — including emerging directions such as reinforcement learning (RLHF/RLVR), agent optimization, and other post-training and agentic techniques — enabling the next generation of AI-powered products, agents, automation, and personalization. WE’RE EXCITED ABOUT YOU BECAUSE YOU HAVE… * BSc, MSc, or PhD in Computer Science or equivalent * 3+ years of industry experience in software engineering * Strong backend engineering fundamentals, especially in Python and distributed systems. * Experience building production services, APIs, data pipelines, or ML infrastructure at scale. * Experience operating systems in production, including observability, debugging, reliability, incident response, and performance/cost optimization. * Hands-on experience with LLM inference and/or fine-tuning of open-weight models in production — serving (latency, throughput, batching, autoscaling, GPU utilization) and/or fine-tuning (SFT/DPO/LoRA). * Ability to work across ambiguous, fast-moving technical areas and turn customer use cases into reusable platform capabilities * Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software NICE TO HAVES * Experience with LLM inference engines and serving frameworks (e.g., vLLM, SGLang, TensorRT-LLM) in production * Experience with distributed/multi-node fine-tuning and training pipelines (SFT, DPO/RLHF, LoRA), including data preparation and evaluation * GPU performance work — multi-node/distributed inference, KV-cache/memory optimization, quantization (FP8/INT8/AWQ/GPTQ), or cold-start/throughput tuning * Experience with Kubernetes, cloud infrastructure (AWS/GCP), GPUs, serverless/elastic GPU platforms (e.g., Modal), or high-throughput batch systems * Experience with LLM gateways, model routing, vendor abstraction, or cost attribution * Experience building developer platforms, internal platforms, or self-serve infrastructure * Experience building and deploying AI agents or MCP servers in production * Experience with eval systems, LLM observability, tracing, RAG, search, or vector databases 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!