Senior Android Engineer in London (hybrid, 3 days/week in office) on Deliveroo’s Consumer Tech team. Design, build, and scale Android apps for a three-sided food marketplace serving millions; lead architecture and code reviews, own large features, partner with PMs/designers, and mentor engineers. Core stack: Android SDK, AndroidX, Kotlin, Java, Android Studio.
Senior Backend Engineer (Merchants) at Deliveroo in London, hybrid 3 days/office. Builds and scales merchant onboarding tools shared across DoorDash, Deliveroo, and Wolt, replacing a Salesforce stack. Day-to-day: backend architecture, code reviews, project planning, and mentoring. Stack: Go, Ruby/Rails, Python, Scala, Rust, PostgreSQL, MySQL, Redis, DynamoDB, ElasticSearch.
Senior Backend Engineer in London (hybrid: 3 days in office) at Deliveroo, working on the Shopping/grocery marketplace. Day-to-day: improve code architecture, lead backend project planning, optimise scalable production systems, and help transition the monolith to microservices. Uses Go, Ruby/Rails, Python, Scala, Rust, PostgreSQL, MySQL, Redis, DynamoDB, Elasticsearch.
Machine Learning Engineer based in London (hybrid, 3 days in office) building ranking and personalisation models for Deliveroo's grocery and retail verticals, including homepage recommendations and notification targeting, using Python and productionised ML systems.
A Senior Data Scientist joins Deliveroo's London team on a hybrid basis (3 days in the office) to drive data-driven decision-making across its three-sided marketplace. Day-to-day work includes owning end-to-end projects, designing experiments and causal inference, translating stakeholder needs into analytics problems, and influencing roadmaps using Python/R, SQL, and AI tools.
Senior Data Scientist (Economist) at Deliveroo uses experimental and observational data, causal inference, and machine learning to answer business questions about markets, rider behavior, and restaurant partnerships. Day-to-day work involves analysis with R, Python, and SQL to inform growth and profitability decisions.
Senior Data Scientist in Deliveroo's London analytics team (hybrid, 3 days in office), using experimentation and causal inference to guide product, commercial, and operations decisions. Works with R/Python, SQL, and AI tools to design experiments and translate business problems into data insights.
Software Engineer on the MIRA team building AI-powered translation systems for global customer support across Wolt, DoorDash, and Deliveroo. Designs scalable backend services in Python/Go, develops LLM-based translation capabilities, and operates cloud-native infrastructure on Kubernetes.
Senior Product Manager for Wolt's Homepage team, shaping discovery experiences across DoorDash, Wolt, and Deliveroo apps. Works on ranking, personalization, and AI/ML to define what millions of customers see when they open the app.
Product Manager for Deliveroo's Homepage team, shaping how millions of customers discover restaurants, grocery, and retail across DoorDash, Wolt, and Deliveroo. Day-to-day involves building consumer-facing discovery features and tackling ranking, personalisation, and AI/ML problems across three brands and dozens of markets.
Senior Backend Engineer building scalable Go/Kotlin systems for global grocery/retail operations (inventory, forecasting, fulfillment) with end-to-end ownership, using Kafka, PostgreSQL, Snowflake on AWS/Kubernetes.
The Graphic Designer, Paid Creative produces performance-driven digital ad creative for Alo's paid media channels, including social-first video for TikTok and Meta, evergreen campaigns, and resized affiliate banners, using Adobe Creative Suite, Figma, CapCut, and After Effects while collaborating with design and growth teams.
Owns ALO's ecommerce product discovery experience—home, search, browse, product listing/detail pages, and add-to-cart—setting the roadmap with Shop Engineering and partnering with merchandising, marketing, and design. Works with Shopify and third-party discovery vendors (search, personalization, reviews) to improve conversion and purchase confidence.
A Software Engineer on ALO's Ecommerce Engineering Team designs and implements features for a scalable, high-performance platform powering ALO's online store and native iOS app, reaching millions of customers. The role uses Node.js, TypeScript, GraphQL, Python (FastAPI), NextJS, React/Redux, and ecommerce platforms such as BigCommerce and Shopify.
Lead the Ecommerce Engineering Team at Alo Yoga, driving platform architecture, microservices, and distributed systems on AWS/GCP to power scalable online experiences for millions of customers via web and iOS.
The Systems Engineer runs ALO's cloud and on-premises IT infrastructure day to day: Windows and Linux server administration, Azure/Azure Stack HCI/VMware virtualization, NAS/SAN storage, backup and recovery, Microsoft 365 (Entra ID, Exchange, SharePoint), networking, and automation with PowerShell and Terraform/Bicep, in a hybrid role based in the Los Angeles area.
Lead Data Analyst at Alo Yoga driving e-commerce and retail analytics, building dashboards, A/B tests, and AI-augmented insights to influence strategic decisions. Partners with stakeholders across marketing, product, and customer strategy to translate data into business impact.
Lead Software Engineer, Integrations at ALO owns the design, architecture, and end-to-end implementation of warehouse management system (WMS) integrations across the fulfillment ecosystem—including 3PL-to-ERP flows, WMS orchestration microservices, and interfaces to automated/robotic warehouse systems—using OMS/ERP canonical data models and event-driven, API, and EDI patterns.
A Senior Data Engineer who owns data ingestion pipelines and builds scalable batch and event-driven workflows with Python, SQL, and AWS (Glue, Athena, S3, DynamoDB), while solving identity-resolution, entity-matching, and data-quality challenges for a sports and digital-commerce platform.
Leads small engineering teams and manages complex projects end-to-end, translating business requirements into technical solutions, writing code, and troubleshooting production issues. Core stack includes Windows/Linux administration, Python/Shell scripting, Terraform, Jenkins CI/CD, Docker, Kubernetes (AKS/EKS), Azure/AWS cloud, and Java deployments.
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