Jobs at MS Companies

Design, build, and operate Order Management platform features across checkout, fulfilment, returns, amendments and cancellations. Own end-to-end delivery including design, development, CI/CD, monitoring, production support, and platform architecture improvements to ensure scalable, resilient integrations and observable systems supporting retail fulfilment.

Serve customers in a fast-paced retail environment during early morning shifts, performing sales, replenishment, and digital-assisted service. Use in-store digital tools, deliver product advice, work flexibly across store areas, and support team-driven store performance.

Design, build, and evolve order management capabilities across checkout, fulfilment, returns, amendments, and cancellations. Own features end-to-end from design through production support, improve platform architecture, integrations, reliability, and observability. Champion engineering excellence, CI/CD, monitoring, and operational excellence while mentoring engineers and collaborating with product and fulfilment stakeholders to deliver scalable, resilient systems.

Design, build, and operate scalable backend services and APIs for pricing and promotions. Implement microservices, Kafka-based event-driven systems, GraphQL/REST APIs, and resilient data solutions using MongoDB, Redis, and PostgreSQL. Own features from design through deployment and operational support.

Provide fast-paced frontline customer service: serve and sell M&S products, restock and fill, use digital tools (Sparks App/in‑store devices), adapt across store areas, and work specified early-morning shifts while supporting team goals and delivering excellent customer experiences.

Coordinate studio partners, styling teams and internal stakeholders to deliver product imagery. Maintain studio tools, digital set lists and product trackers; manage samples and support photography shoots. Audit website imagery, liaise with retouch teams, support admin (calendars, meetings, documentation) and help improve studio processes.

Lead strategy and roadmap for personalised recommendations and AI-powered outfitting across web and app. Collaborate with engineers, data scientists and commercial teams to build in-house recommendation technology, expand AI stylist use cases, prioritise backlog, and use experimentation and analytics to optimise relevance, engagement and conversion.

Design, build, and operate secure, scalable authentication and identity services. Own features end-to-end (design, develop, test, deploy, monitor, support). Develop resilient APIs and backend services, champion engineering best practices, participate in code reviews, and shape the technical direction of the Identity Platform.

Design, build, and operate secure, scalable authentication and identity services. Own features end-to-end across design, development, testing, deployment, monitoring and production support. Shape Identity Platform technical direction, develop resilient APIs, champion engineering best practices and participate in code reviews and knowledge sharing.

Create 3D visuals and end-to-end visual merchandising concepts for in-store campaigns, ensuring on-brand, scalable solutions across windows, departments and store formats. Manage briefs, timelines, prototypes and stakeholder sign-off, use AI tools for concept development, review in-store impact, and champion customer-focused, commercially effective visual design.

Develop and maintain Python-based, production-ready AI services powering personalised recommendation and conversational experiences. Design and implement evaluation frameworks (including LLM-as-a-Judge) to measure and improve relevance and consistency. Drive experimentation and data-driven improvements for AI Stylist, integrate AI services into APIs and broader platforms, and address challenges of non-deterministic systems.

Design, build, and evolve scalable backend microservices and APIs to support the full customer order lifecycle. Implement event-driven workflows (Kafka), GraphQL/REST APIs, and resilient low-latency solutions using distributed databases and caching, collaborating with product, architects, and stakeholders to enable high-volume transactional commerce systems.

Lead design and delivery of scalable, secure payment platform capabilities across stores and digital channels. Own end-to-end payment product outcomes, ensure reliability, security and performance, implement SRE/DevOps and CI/CD practices, drive observability and incident management, shape architecture, mentor engineers and promote engineering excellence.

Lead quality engineering for POS and Self-Checkout platforms: define quality strategy, build scalable test automation, drive CI/CD and observability, mentor engineers, support production releases and incident investigations to improve platform reliability and performance.

Design, build, and maintain high-volume, resilient payment services and APIs. Own end-to-end features from design through production support, drive observability and CI/CD practices, and modernize platform scalability, security, and reliability to support millions of customer transactions.

Lead and grow software engineering teams responsible for digital fulfilment platforms (in-store fulfilment, order collection, dropship and carrier integrations). Drive architecture, delivery, and operational excellence; collaborate with product, design, programme and operations; embed DevOps, automation, and modern engineering practices to deliver scalable, reliable systems.

Own the forecasting, ordering and allocation product strategy, roadmap and backlog. Partner with Engineering, Supply Chain, Commercial and Retail to improve replenishment, forecast accuracy and operational efficiency. Use data, customer insight and experimentation to define OKRs, prioritise features, measure product health and drive adoption. Coach Product Managers and champion product management best practices across the organisation.

Define and lead the enterprise AI operations model, govern model lifecycle (onboarding, deployment, monitoring, retraining, retirement), own AI product performance and reliability, drive cost transparency/optimization across Azure and Databricks, and lead incident, change, resilience, and responsible AI processes to ensure trusted, secure, compliant production services.

Design, build and support scalable Salesforce Loyalty Cloud solutions. Lead development of member lifecycle, promotions, rewards processing and personalized experiences. Implement integrations using REST APIs and Platform Events. Collaborate with architects and product teams, drive code quality, observability, CI/CD and best engineering practices to ensure secure, reliable production systems.

Lead a small team to own inbound compliance across suppliers, logistics partners and depots. Use data and stakeholder engagement to improve stock accuracy, supplier performance and payment integrity. Drive root-cause analysis and continuous improvement, support network transformation and embed new systems and processes into day-to-day operations, ensuring operational standards and availability while managing competing priorities.