About the Organisation & Role:

You will be part of the Core Commerce Platform organisation responsible for delivering the omnichannel commerce capabilities that power the purchase journey, inventory availability, delivery promise, order processing & fulfilment and post-purchase experiences across channels. The organisation plays a critical role in ensuring products are available to buy, orders can be fulfilled reliably, and commitments made to consumers are delivered consistently. Through a portfolio of commerce platform capabilities, the organisation enables seamless omnichannel experiences while supporting efficient, scalable, and resilient commerce operations across the global digital ecosystem.

As a Senior Software Engineer, you will design, build, and maintain production-grade backend services that power Inventory, Promise & Order Fulfilment capabilities. You will work closely with Tech Leads, Product Owners, and Data Engineering teams to deliver reliable, scalable, and low-latency services. You will actively contribute to design decisions, code reviews and mentor junior engineers in the team.

What you will do:

• Design and operate secure, observable and resilient Java/Spring Boot services and low-latency APIs for inventory availability and order promising with performance suitable for peak and concurrent demand

• Implement robust concurrency-control and consistency patterns to prevent overselling when multiple orders compete for limited inventory.

• Build event-driven inventory processing using Kafka or similar messaging technologies to handle receipts, adjustments, reservations, releases, cancellations, and fulfilment updates in near real time.

• Integrate inventory and promising services with OMS, commerce, WMS, ERP, store, and fulfilment platforms to provide consistent availability across the order lifecycle.

• Independently own complex services or components from technical design through production.

• Write clean, tested and maintainable code, participate in peer reviews, and maintain relevant technical documentation.

• Optimize performance, scalability, reliability, and operational efficiency through automation and proactive improvements. 

• Support production services through monitoring, troubleshooting and root-cause analysis contributing to reliability improvements.

• Lead component-level design, document trade-offs and contribute recommendations to team-level architecture decisions.

• Mentor junior engineers, perform code reviews and help establish engineering standards and best practices.

• Bachelor's degree in computer science, Information Technology, Engineering, or a related field.

• 7+ years of software engineering experience, with a strong track record of building and operating scalable, high-availability, consumer-facing platforms.

• Strong hands-on software engineering experience with Java, Spring Boot, and modern microservices architectures, building scalable, resilient, and production-grade services.

• Strong understanding of design patterns, data structures and algorithms, with practical experience applying them to real-world use cases.

• Hands-on experience with Kafka or similar event-streaming platforms for event-driven architectures, asynchronous processing, and enterprise-scale system integrations.

• Deep understanding of caching strategies and hands-on experience with Redis or equivalent technologies.

• Strong understanding of concurrency, consistency, and transactional integrity patterns required to prevent overselling in distributed commerce environments.

• Experience implementing event-driven architectures and designing resilient solutions that maintain accuracy under peak trading and high-volume conditions.

• Experience designing graceful degradation and fallback mechanisms that ensure continuity of commerce operations during downstream system disruptions.

• Strong experience with observability and operational excellence practices, including monitoring, distributed tracing and alerting.

• Understanding of inventory management concepts, order promising and delivery estimation models, including inventory location, fulfilment capacity, carrier constraints, and service-level commitments is highly desirable.

• Experience configuring, customizing, and extending OMS platform capabilities to support complex business requirements and omnichannel commerce use cases is preferred.

• Hands-on experience integrating or configuring Fluent Commerce or a comparable OMS platform such as IBM Sterling OMS, Manhattan Associates, Kibo, Salesforce OMS, or similar technologies will be an advantage.

• Experience using coding agents, LLMs or AI-assisted engineering tools to improve software delivery and developer productivity.

• Manage day-to-day marketplace operations across Myntra, Flipkart, Amazon and other eCommerce channels.

• Drive order fulfilment performance, seller metrics, warehouse service levels and marketplace scorecard adherence.

• Track and resolve operational escalations impacting customer experience, dispatch performance, returns, claims or marketplace health.

• Coordinate with category, marketplace and warehouse teams to ensure business priorities are executed without operational blockage.

• Own SJIT operational planning, inventory allocation, dispatch preparedness and execution governance.

• Coordinate with marketplace teams on allocation approvals, pending ROs, dispatch planning and STN creation.

• Monitor inventory availability, fulfilment adherence and return closure for SJIT operations.

• Support allocation model discussions and ensure alignment between marketplace requirements and PUMA operating principles.

• Support regional warehouse operations and ensure adherence to defined SOPs across forward, return and exception processes.

• Drive warehouse readiness, inventory movement planning, stock transfers and transition activities.

• Lead resolution of operational bottlenecks related to systems, infrastructure, NAS / video storage, WMS errors and process dependencies.

• Coordinate with 3PL and internal teams to ensure smooth inwards, outbound, return and stock transfer execution.

• Manage SPF processes including claim validation, video / image evidence compliance, claim tracking and recovery governance.

• Ensure adherence to marketplace-specific SPF policies, TATs, documentation requirements and rejection-prevention controls.

• Partner with warehouse, logistics and marketplace stakeholders to reduce controllable operational losses.

• Drive corrective actions for recurring process gaps such as tag loop errors, QC misses, poor evidence capture or tracker hygiene issues.

• Support marketplace compliance requirements such as APOB documentation, address mapping, NOC follow-up and warehouse registration readiness.

• Coordinate with internal and external stakeholders to ensure timely completion of business-critical documentation.

• Support go-live preparedness for new facilities, new operational flows and marketplace expansion initiatives.

• Prepare operational updates, dashboards, claim trackers and performance summaries for business reviews.

• Analyze trends across fulfilment, returns, QC failures, claims, inventory movement and warehouse performance.

• Identify improvement opportunities and drive scalable solutions across OMS, WMS, marketplace integrations and tracker automation.

• Maintain data hygiene and drive standardization of reporting formats across warehouses and partners.

• Marketplace operations teams across Myntra, Flipkart, Amazon and other channels

• Warehouse and 3PL partners across the North India network

• Logistics partners and return / delivery service providers

• Category, planning, merchandising and commercial teams

• Finance, technology, compliance and system integration teams

• External vendors, marketplace POCs and service-provider stakeholders

• Marketplace Performance: Fill rate, SLA adherence and seller scorecard improvement

• SJIT Execution: Allocation accuracy, dispatch readiness and RO closure governance

• SPF Governance: Reduced rejection rate, improved recovery and stronger evidence compliance

• Warehouse Efficiency: Productivity, inventory accuracy and issue resolution TAT

• Compliance Readiness: Timely APOB / documentation closure and no go-live blockers

• Process Improvement: Automation, tracker hygiene and scalable reporting standards

• 4-7 years of experience in eCommerce supply chain, marketplace operations, warehousing or fulfilment operations.

• Strong understanding of marketplace fulfilment, inventory management, claims governance, returns and logistics processes.

• Hands-on experience with Excel-based trackers, operational dashboards and structured performance reporting.

• Strong stakeholder management across internal functions, marketplaces, warehouses and external partners.

• Ability to manage operational escalations, process transitions and cross-functional projects with clear ownership.

• Working knowledge of OMS / WMS workflows and marketplace integration dependencies.

• Experience in SPF / claim recovery processes, returns governance and video / evidence compliance.

• Ability to work in high-volume operational environments with strong attention to TAT, audit readiness and process discipline.

• Comfortable preparing leadership-ready summaries, project updates and actionable trackers.

About the Organisation & Role:

You will be part of the Consumer Experience Engineering organisation responsible for building fast, intuitive, accessible and premium digital experiences across web and mobile. The organisation owns the web & mobile platforms, engineering delivery for consumer-facing journeys, shared design systems, performance, accessibility and AI-native engineering practices that help product teams deliver consistent, reusable, high-quality consumer experiences across the globe.  

The Lead Engineer (Web) is responsible for defining frontend architecture, providing technical leadership, and delivering scalable, reliable, accessible, and high-performing consumer-facing digital experiences.

What you will do:

• Lead the architecture, design, development, and evolution of large-scale consumer-facing web applications.

• Define frontend engineering standards, architectural principles, reusable patterns, and development best practices.

• Provide technical direction for solutions built using ReactJS, TypeScript, Next.js, and GraphQL.

• Design scalable, modular, maintainable, secure, and reliable frontend application architectures.

• Lead frontend system design and evaluate architectural trade-offs aligned with business and engineering goals.

• Define API-first and headless architecture patterns for integrating commerce, content, and enterprise platforms.

• Partner with Product, Design, Architecture, Quality Engineering, and Platform teams to deliver optimized consumer journeys.

• Drive frontend performance engineering with a strong focus on Core Web Vitals and real-user experience.

• Define strategies for rendering, code splitting, lazy loading, asset optimisation, caching, and bundle management.

• Apply CDN and edge technologies to improve application performance, scalability, and global availability.    

• Ensure digital experiences meet WCAG accessibility standards and inclusive design principles.

• Partner with UX and Design teams to develop reusable components and evolve enterprise design systems.

• Support feature flagging, experimentation, A/B testing, and data-driven optimisation of consumer journeys.

Mentor frontend engineers and provide technical guidance on architecture, design, coding, testing, and troubleshooting

• 10+ years of software engineering experience with significant expertise in frontend application development.

• 3+ years of experience leading a technical capability, project or engineering team.

• Strong hands-on expertise in ReactJS, TypeScript, JavaScript, Next.js, and GraphQL.

• Deep understanding of browser fundamentals, rendering behaviour, web standards, and frontend application lifecycles.

• Proven expertise in frontend system design, application architecture, and modern engineering patterns.

• Experience designing scalable, modular, reliable, secure, and maintainable frontend applications.

• Strong knowledge of server-side rendering, static generation, client-side rendering, and hybrid rendering strategies.

• Strong understanding of application state management, data-fetching, caching, and synchronisation patterns.

• Experience designing reusable components, shared libraries, and scalable frontend platforms.

• Strong understanding of secure frontend development, authentication, authorization, and consumer data protection.

• Proven experience improving Core Web Vitals, page-load performance, responsiveness, and runtime efficiency.

• Strong knowledge of CDN, edge computing, browser caching, asset optimisation, and content delivery strategies.

• Strong understanding of consumer journeys, conversion optimisation, personalization, and digital experience quality.

• Practical knowledge of WCAG standards, semantic HTML, keyboard accessibility, and assistive technology compatibility.

• Experience with experimentation platforms, feature flags and A/B testing.

• Strong understanding of design systems, reusable component libraries, responsive design, and UX engineering principles.

• Proven ability to influence architecture and engineering practices across multiple teams without direct authority.

• Excellent problem-solving, communication, technical leadership, stakeholder management, and decision-making skills.

• Experience designing or delivering headless and composable commerce solutions is preferred.

• Proven ability to drive architectural decisions, influence technical direction and mentor engineers.

• Experience using coding agents, LLMs or AI-assisted engineering tools to improve software delivery and developer productivity.

• Experience in eCommerce, retail, or consumer digital products is strongly preferred.

About the Organisation & Role:

You will be part of the Consumer Experience Engineering organisation responsible for building fast, intuitive, accessible and premium digital experiences across web and mobile. The organisation owns the web & mobile platforms, engineering delivery for consumer-facing journeys, shared design systems, performance, accessibility and AI-native engineering practices that help product teams deliver consistent, reusable, high-quality consumer experiences across the globe.  

The Lead Quality Engineer is responsible for defining quality strategy, shaping test architecture, driving automation excellence and enabling high-quality, accessible, high-performing and reliable consumer-facing digital experiences across web and mobile platforms.

What you will do:

• Define and drive quality engineering strategy aligned with product, engineering, and business goals.

• Design and govern scalable test automation frameworks for web, mobile, API, and end-to-end testing.

• Establish risk-based testing approaches and quality processes across multiple product teams.

• Drive quality planning, test strategy definition, and execution across the software delivery lifecycle.

• Build and maintain automated regression, integration, API, and end-to-end test suites.

• Partner with Product, Design, Engineering, and Architecture teams to embed quality throughout the development lifecycle.

• Drive accessibility validation and ensure compliance with WCAG standards across digital experiences.

• Lead cross-browser, cross-device, and responsive experience testing for consumer-facing applications.

• Define and execute web and mobile performance testing strategies to ensure premium user experiences.

• Drive automated release validation and production readiness practices.

• Analyse quality metrics, testing effectiveness, and defect trends to identify improvement opportunities.

• Drive continuous improvement initiatives focused on engineering excellence, test efficiency, and product quality.

• Support experimentation frameworks and validate A/B testing implementations where applicable.

• 10+ years of experience in Quality Engineering, Software Testing, or Test Automation Engineering.

• Strong expertise in designing and scaling enterprise-grade automation frameworks using Playwright, Cypress, and Appium.

• Proven experience defining quality strategies, test architecture, and testing governance across multiple products or teams.

• Extensive experience implementing risk-based testing methodologies and quality assurance best practices.

• Strong experience building and maintaining automated testing solutions across web, mobile, and API layers.

• Expertise integrating quality engineering practices into modern CI/CD pipelines and DevOps workflows.

• Strong understanding of accessibility standards (WCAG 2.x) and accessibility testing approaches.

• Experience validating consumer experiences across browsers, devices, operating systems, and screen sizes.

• Expertise in test metrics, quality analytics, defect management, and continuous quality improvement.

• Excellent communication, collaboration, stakeholder management, and technical leadership skills.

• Experience driving engineering excellence through automation, quality gates, and release governance.

• Hands-on experience with AI-assisted testing, intelligent regression testing or LLM powered quality engineering solutions.

• Experience in eCommerce, retail, or consumer digital products is strongly preferred.

• Experience validating experimentation platforms, feature flags, and A/B testing programs is a plus.

About the Organisation & Role:

You will be part of the Consumer Experience Engineering organisation responsible for building fast, intuitive, accessible and premium digital experiences across web and mobile. The organisation owns the web & mobile platforms, engineering delivery for consumer-facing journeys, shared design systems, performance, accessibility and AI-native engineering practices that help product teams deliver consistent, reusable, high-quality consumer experiences across the globe.  

The Lead Engineer (Mobile) is responsible for defining mobile architecture, leading engineering execution, and delivering scalable, reliable, accessible, and high-performing consumer-facing applications across iOS and Android platforms.

What you will do:

• Lead the architecture, design, development, and evolution of large-scale consumer-facing mobile applications.

• Define mobile engineering standards, architectural principles, reusable patterns, and development best practices.

• Provide technical direction for React Native solutions across iOS and Android platforms.

• Design scalable, modular, maintainable, and reliable mobile application architectures.

• Guide teams on mobile application lifecycle management, release readiness, store distribution, and production support.

• Define mobile security and privacy engineering standards, including secure storage, authentication integration, data protection and third-party SDK governance.

• Evaluate architectural trade-offs and make pragmatic decisions aligned with product and engineering goals.

• Partner with Product, Design, Architecture, Quality Engineering, and Platform teams to deliver optimized consumer journeys.

• Establish engineering patterns for state management, API integration, offline capabilities, caching, and error handling.

• Drive mobile performance engineering across application startup, rendering, network utilization, memory, and responsiveness.

• Lead integration of mobile applications with commerce platforms, APIs, content platforms, analytics, and third-party services.

• Ensure mobile experiences meet WCAG accessibility standards and inclusive design principles.

• Partner with design teams to develop reusable components and evolve mobile design systems.

Support experimentation, feature flagging, A/B testing, and data-driven optimization of consumer journeys.   

• 10+ years of software engineering experience with significant expertise in mobile application development.

• 3+ years of experience leading a technical capability, project or engineering team.

• Strong hands-on expertise in React Native and modern TypeScript/JavaScript development.

• Deep understanding of iOS and Android fundamentals, platform capabilities, and mobile application lifecycles.

• Strong experience with mobile build, signing, release, distribution, and application store processes.

• Proven expertise in frontend and mobile system design, application architecture, and engineering patterns.

• Strong understanding of state management, API integration, caching, offline-first, and synchronization patterns.

• Experience integrating native iOS and Android modules into React Native applications.

• Proven experience in optimizing startup time, rendering, memory utilization, network efficiency, and application responsiveness.

• Strong understanding of mobile asset delivery, caching, network efficiency and content delivery considerations.

• Understanding of consumer journeys, conversion optimization, personalization, and digital experience quality.

• Practical knowledge of WCAG standards, mobile accessibility, and inclusive experience engineering.

• Experience with experimentation platforms, feature flags and A/B testing.

• Strong understanding of design systems, reusable component libraries, and mobile UX engineering principles.  

• Excellent problem-solving, communication, technical leadership, stakeholder management, and decision-making skills.

• Proven ability to drive architectural decisions, influence technical direction and mentor engineers.

• Experience using coding agents, LLMs or AI-assisted engineering tools to improve software delivery and developer productivity.

• Experience in eCommerce, retail, or consumer digital products is strongly preferred.

You will be part of the Core Commerce Platform organisation responsible for delivering the omnichannel commerce capabilities that power the purchase journey, inventory availability, delivery promise, order processing & fulfilment and post-purchase experiences across channels. The organisation plays a critical role in ensuring products are available to buy, orders can be fulfilled reliably, and commitments made to consumers are delivered consistently. Through a portfolio of commerce platform capabilities, the organisation enables seamless omnichannel experiences while supporting efficient, scalable, and resilient commerce operations across the global digital ecosystem.

As an OMS Lead Engineer, you will provide technical leadership for the team building and supporting omni-channel commerce capabilities. You will own technical architecture, engineering standards, and key technology decisions while ensuring solutions are scalable, reliable, resilient, and aligned with the broader commerce platform strategy. Working closely with the Engineering Manager, Product Owners and Retail Tech Teams, you will deliver scalable, resilient, and secure omni-channel commerce capabilities. You will champion engineering best practices, code quality, observability, and continuous improvement across the team.

What you will do:

• Lead the design, development, and evolution of Order Management capabilities including order orchestration, inventory availability, fulfilment, returns, and post-purchase experiences.

• Own the technical architecture, engineering standards, and key technology decisions for OMS platforms and related integrations.

• Design and build scalable, resilient, API-first and event-driven services supporting omnichannel commerce use cases such as Click & Collect (BOPIS), Ship-from-Store, Endless Aisle, and Delivery Promise. Partner with Product Owners, Architects, Retail Technology, Supply Chain, and Business stakeholders to translate requirements into robust technical solutions.

• Drive integration of OMS with Commerce Platforms, ERP, WMS, Payments, Logistics, and Customer Service systems.

• Ensure inventory visibility, order processing, fulfilment, and returns workflows are accurate, reliable, and scalable across channels and regions.

• Champion engineering excellence through code quality, automated testing, secure development practices, and continuous improvement.

• Establish and promote best practices in microservices, cloud-native architecture, observability, performance optimization, and reliability engineering.

• Mentor and coach engineers, providing technical guidance, architecture reviews, and hands-on support for complex initiatives.

• Drive adoption of AI-assisted engineering practices and automation to improve developer productivity, quality, and delivery efficiency.

• 10+ years of hands-on experience designing and building Order Management capabilities using Java/Spring Boot or equivalent frameworks, including implementation, extension, integration, and customization of packaged or custom order management solutions.

• 3+ years of experience leading a technical capability, project or engineering team.

• Experience with enterprise order management platforms such as Fluent Commerce (preferred), IBM Sterling OMS, Manhattan Associates, Kibo Commerce, or Salesforce OMS is highly desirable.

• Hands-on software engineering experience with Java, Spring Boot, and modern microservices architectures, building scalable, resilient, and production-grade services.

• Deep understanding of the end-to-end order lifecycle, including order capture, sourcing, fulfilment, shipment, returns, exchanges, and post-purchase processes.

• Proven experience customizing and extending OMS capabilities to support evolving business requirements, omnichannel fulfilment models, and enterprise integrations.

• Strong knowledge of omnichannel commerce operations, including Ship-from-Store (SFS), Buy Online Pick Up In Store (BOPIS), Ship-to-Store, Curbside Pickup, Endless Aisle, and associated order routing strategies.

• Solid understanding of inventory management, sourcing optimization, fulfilment orchestration, and order allocation concepts across stores, DCs, and third-party fulfilment networks.

• Proven experience integrating OMS platforms with Commerce, WMS, ERP, POS, Payment, 3PL, Carrier, and Customer Service systems to enable end-to-end order visibility and orchestration.

• Experience designing OMS-centric microservice architectures with clear domain boundaries across Order Management, Inventory, Sourcing, Fulfilment, Returns, and Customer Service capabilities.

• Hands-on experience with Kafka or similar event-streaming platforms for event-driven architectures, asynchronous processing, and enterprise-scale system integrations.

• Experience with performance engineering, scalability testing, and optimization of high-throughput, business-critical commerce platforms.

• Experience defining and implementing capacity planning, resiliency, and scaling strategies to support peak trading events and global commerce operations.

• Experience driving technical architecture, establishing engineering standards, mentoring engineers, and influencing technical direction across cross-functional teams.

• Experience leveraging AI-assisted engineering tools, coding agents, and LLM-powered development workflows to improve engineering productivity, software quality, and delivery efficiency.

You will be part of the Consumer Intelligence & Engagement organisation responsible for delivering the intelligence and engagement capabilities that enable more relevant and personalised consumer experiences across digital channels. The organisation plays a key role in how consumers discover products, engage with content, and elevate experiences through membership & loyalty. Through capabilities such as personalisation, recommendations, consumer intelligence, experimentation, and AI-driven decisioning, the organisation helps deliver more contextual, data-driven interactions across the consumer journey.

As a Lead Engineer, you will provide technical leadership for the team building production grade backend services that power personalisation and recommendation capabilities. You will own technical architecture, engineering standards and key technology decisions, ensuring solutions are scalable, reliable, and resilient. Working closely with the Engineering Manager, Product Owners, and Data Engineering teams, you will deliver low latency services that support real-time consumer experiences. You will champion engineering best practices, code quality, observability, and continuous improvement across the team.

What you will do:

• Lead the design and development of personalisation and recommendation services & applications.
• Own technical architecture, engineering standards, and key technology decisions across model serving, inference, and recommendation platforms.
• Design and build scalable, low latency APIs, event-driven services, and integration layers that support real-time and batch recommendation use cases.
• Partner with AI/ML Engineers and Data Engineers to deploy machine learning models and recommendation algorithms relevant for the business use case.
• Design and implement model serving, inference, feature access and experimentation capabilities that support personalisation and recommendation.
• Integrate LLM APIs and AI services to enable intelligent consumer experiences and business capabilities.
• Ensure solutions are secure, observable, reliable, and resilient through strong engineering practices.
• Drive engineering excellence through architecture reviews, code reviews, technical mentorship, and continuous improvement.
• Optimise performance, scalability, reliability, and operational efficiency through automation and proactive improvements.
• Leverage AI-assisted engineering practices and tools to improve engineering productivity, code quality, and delivery effectiveness.
• Provide technical leadership across teams.

• 10+ years of experience designing and building large scale distributed backend systems on cloud-native platforms.
• 3+ years of experience leading a technical capability, project or engineering team.
• Hands-on experience building and operating recommendation systems, personalisation capabilities.
• Strong understanding of production ML integration patterns, including model serving, inference, experimentation, feature access, observability, and operationalisation of ML capabilities.
• Experience building model serving and inference integration layers for real-time and batch prediction workloads.
• Experience integrating and operationalising LLM APIs and AI services within production applications.
• Experience working with feature stores, vector databases, embedding based retrieval and modern ML architectures will be a strong advantage.
• Experience with experimentation platforms, A/B testing, and data-driven optimisation of consumer experiences.
• Expertise in backend engineering, API design, microservices, event-driven architectures, and scalable integration patterns using Java, Spring Boot and related frameworks.
• Experience with Redis or equivalent caching systems.
• Experience building event-driven systems using Kafka or equivalent technologies.
• Experience with SQL and NoSQL databases, database architecture and distributed data management.
• Strong understanding of data intensive systems, feature engineering concepts, and high throughput data processing patterns.
• Experience with observability, reliability engineering and performance optimisation.
• Proven ability to drive architectural decisions, influence technical direction and mentor engineers.
• Experience using coding agents, LLMs or AI-assisted engineering tools to improve software delivery and developer productivity.
• Experience in eCommerce, retail, or consumer digital products is strongly preferred.

You will be part of the Consumer Intelligence & Engagement organisation responsible for delivering the intelligence and engagement capabilities that enable more relevant and personalised consumer experiences across digital channels. The organisation plays a key role in how consumers discover products, engage with content, and elevate experiences through membership & loyalty. Through capabilities such as personalisation, recommendations, consumer intelligence, experimentation, and AI-driven decisioning, the organisation helps deliver more contextual, data-driven interactions across the consumer journey.

As a Senior Software Engineer (Full Stack), you will design, build, and maintain production-grade backend services and web applications that power personalisation and recommendation capabilities. You will work closely with Tech Leads, AI/ML Engineers, Product Owners, and Data Engineering teams to deliver reliable, scalable, and low-latency services.

What you will do:

• Develop production-grade APIs and service layers that expose personalisation and recommendations to consuming applications and digital experience layers.
• Build and evolve web-based applications and user experiences.
• Build model-serving and inference integration layers that support real-time and batch recommendation patterns.
• Implement reliable, scalable, and low-latency services with strong focus on resiliency, observability, and performance.
• Work with caching, event-driven processing and distributed systems patterns to support high-volume consumer use cases.
• Collaborate with Tech Leads, AI/ML Engineers, Data Engineering and Product teams to deliver roadmap commitments.
• Drive technical design discussions and contribute to architecture decisions within the team.
• Ensure applications and services are production-ready through effective observability, monitoring, performance optimisation, reliability engineering, and operational readiness practices.
• Mentor junior engineers, perform code reviews and help establish engineering standards and best practices.
• Utilise AI-assisted engineering tools to accelerate development and strengthen code quality.

• 7+ years of experience designing and building scalable, resilient, and maintainable microservices and web applications in modern cloud environments.
• Strong hands-on experience with Java and Spring Boot for building production backend services.
• Frontend development experience with React framework strongly preferred.
• Strong understanding of system design and distributed architecture.
• Solid understanding of distributed systems fundamentals including concurrency, asynchronous processing, idempotency, exception handling and circuit breakers.
• Strong data structures and algorithms foundation with experience applying them to real-world use cases.
• Experience with event-driven architecture using Kafka or similar technologies.
• Experience with SQL/No-SQL databases with understanding of database architecture and distributed data management.
• Experience integrating LLM APIs into production applications will be a strong advantage.
• Understanding of embedding-based similarity search and vector databases is an advantage.
• Strong ability to mentor engineers, review designs, and drive sound technical decisions.
• Experience using coding agents, LLMs or AI-assisted engineering tools to improve software delivery and developer productivity.
• Experience in eCommerce, retail, or consumer digital products is preferred.

About the Organisation & Role:

You will be part of the Consumer Intelligence & Engagement organisation responsible for delivering the intelligence and engagement capabilities that enable more relevant and personalised consumer experiences across digital channels. The organisation plays a key role in how consumers discover products, engage with content, and elevate experiences through membership & loyalty. Through capabilities such as personalisation, recommendations, consumer intelligence, experimentation, and AI-driven decisioning, the organisation helps deliver more contextual, data-driven interactions across the consumer journey.

As a Senior Quality Engineer, you will own quality strategy, test automation and test execution for personalisation and recommendation capabilities. You will work closely with Software Engineers, Tech Leads, Product Owners and Data Engineering teams to embed quality throughout the development lifecycle. Your focus will be building scalable automation, validating AI powered consumer experiences, improving engineering quality and enabling fast, reliable releases.

What you will do:

• Define and drive quality strategy & standards for personalisation, recommendation, experimentation, and consumer intelligence capabilities.
• Design, build and maintain automated test frameworks covering API, integration, contract, functional and E2E testing.
• Embed quality throughout the software development lifecycle by partnering closely with Software Engineers, Tech Leads, Product Owners and Data Engineering teams.
• Validate recommendation outputs, personalisation rules, consumer segmentation, experimentation journeys through automated & manual test suite.
• Establish test data, test environments and quality validation approaches for personalised consumer journeys.
• Drive shift-left quality practices through automation, quality gates, CI/CD integration and risk based testing.
• Ensure quality and consistency across browsers, devices, and digital consumer journeys.
• Leverage AI-assisted quality engineering practices to improve test coverage, regression efficiency, defect detection and engineering productivity.
• Define quality metrics, test coverage goals and continuous improvement initiatives across the team.
• Coach engineers on test automation, quality practices and continuous improvement.

•  7+ years of experience in Quality Engineering, Test Strategy and Test Automation.
• Strong experience designing and scaling automation frameworks for modern digital platforms.
• Hands-on experience with Playwright, Cypress, Appium, Selenium or equivalent automation frameworks.
• Strong experience in API, integration, contract, E2E, regression and release validation testing.
• Experience building automated quality pipelines integrated with CI/CD processes.
• Experience validating personalisation, recommendations and experimentation platforms.
• Experience with test data management, consumer segmentation and data quality validation.
• Strong understanding of APIs, microservices, event-driven architectures and distributed systems.
• Experience validating recommendation outputs, business rules and consumer-facing experiences.
• Experience with observability setup for quality engineering and production quality analytics preferred.
• Strong collaboration and communication skills with the ability to influence engineering quality across multiple teams.
• Experience using coding agents, AI-assisted testing tools or LLMs to improve testing productivity and quality outcomes.
• Experience in eCommerce, retail, consumer digital products, personalisation or recommendation platforms is strongly preferred.

You will be part of the Consumer Intelligence & Engagement organisation responsible for delivering the intelligence and engagement capabilities that enable more relevant and personalised consumer experiences across digital channels. The organisation plays a key role in how consumers discover products, engage with content, and elevate experiences through membership & loyalty. Through capabilities such as personalisation, recommendations, consumer intelligence, experimentation, and AI-driven decisioning, the organisation helps deliver more contextual, data-driven interactions across the consumer journey.

As a Lead Engineer, you will provide technical leadership for the team building production grade backend services for the membership and loyalty capabilities. You will own technical architecture, engineering standards and key technology decisions, ensuring solutions are scalable, reliable, and resilient. Working closely with the Engineering Manager, Product Owners, and Data Engineering teams, you will deliver low latency services that support real-time consumer experiences. You will champion engineering best practices, code quality, observability, and continuous improvement across the team.

What you will do:

• Lead the design and development of membership and loyalty capabilities leveraging Antavo platform.
• Own technical architecture, engineering standards, and key technology decisions across the core capabilities of Antavo platform, extensions and integrations.
• Design and build scalable, low latency APIs, event-driven services, and integration layers that support real-time and batch use cases.
• Integrate LLM APIs and AI services to enable intelligent consumer experiences and business capabilities.
• Integrate with other commerce platform applications (SFCC, Fluent Commerce) for membership and loyalty updates.
• Ensure solutions are secure, observable, reliable, and resilient through strong engineering practices.
• Drive engineering excellence through architecture reviews, code reviews, technical mentorship, and continuous improvement.
• Optimise performance, scalability, reliability, and operational efficiency through automation and proactive improvements.
• Leverage AI-assisted engineering practices and tools to improve engineering productivity, code quality, and delivery effectiveness.
• Provide technical leadership across teams.

• 10+ years of experience designing and building large scale distributed backend systems on cloud-native platforms.
• 3+ years of experience leading a technical capability, project or engineering team.
• Hands-on experience building and operating loyalty and membership capabilities in products like Antavo.
• Strong understanding microservice based architecture and experience in building microservices in eCommerce domain.
• Expertise in backend engineering, API design, microservices, event-driven architectures, and scalable integration patterns using Java, Spring Boot and related frameworks.
• Experience with Redis or equivalent caching systems.
• Experience in event based streaming platforms like Kafka
• Experience with SQL and NoSQL databases, database architecture and distributed data management.
• Experience with observability, reliability engineering and performance optimisation.
• Proven ability to drive architectural decisions, influence technical direction and mentor engineers.
• Experience using coding agents, LLMs or AI-assisted engineering tools to improve software delivery and developer productivity.
• Experience in eCommerce, retail, or consumer digital products is strongly preferred.

• About the Organisation & Role:

  You will be part of the Consumer Intelligence & Engagement organisation responsible for delivering the intelligence and engagement capabilities that enable more relevant and personalised consumer experiences across digital channels. The organisation plays a key role in how consumers discover products, engage with content, and elevate experiences through membership & loyalty. Through capabilities such as personalisation, recommendations, consumer intelligence, experimentation, and AI-driven decisioning, the organisation helps deliver more contextual, data-driven interactions across the consumer journey.

  The Engineering Manager is accountable for engineering delivery, roadmap execution, operational excellence, and engineering team development. Partnering with Product Owners, Data Engineering & Analytics, Tech Leads, and peer engineering teams, you will enable predictable delivery, grow engineering talent, and build a high-performing culture focused on ownership, accountability, and continuous improvement.

• Drive planning and execution against team objectives and key results (OKRs), ensuring alignment, accountability and transparent reporting.

• Own sprint execution, delivery planning, capacity management, dependency management, and risk management.

• Partner with Product Owners, Project Managers, Retail Tech team, and Tech Leads to deliver business outcomes.

• Ensure inventory availability, delivery promise, and omnichannel capabilities are reliable, accurate, and scalable across channels.

• Drive engineering excellence through strong development practices, quality standards, operational discipline and continuous improvement.

• Coach engineers through regular feedback, mentoring, performance management, and career development.

• Build a high-performing engineering culture focused on ownership, accountability, collaboration, and learning.

• Establish effective engineering metrics and use data to improve team productivity, quality, and delivery predictability.

• Drive adoption of AI-assisted engineering practices and automation to improve productivity, quality, and delivery efficiency.

• Identify opportunities to leverage AI across software development, testing, documentation, knowledge management and onboarding.

• Collaborate with engineering leadership on hiring, staffing, onboarding, talent development, and succession planning.

Manage delivery partners and vendors where applicable and ensure alignment with team objectives.

• 10+ years of software engineering experience, with experience leading engineering teams in an agile delivery environment.

• 3+ years of people leadership experience. 

• Strong experience leading roadmap execution, delivery planning, dependency management, and stakeholder engagement.

• Solid software engineering background with experience building APIs, distributed systems, and integration-heavy platforms.

• Familiarity with API-first, cloud-native architectures and design patterns.

• Familiarity with Order Management, Inventory Management platforms.

• Experience working with event-driven architectures, high-volume transactional systems, and enterprise integrations.

• Strong people leadership skills with experience in hiring, mentoring, developing, and retaining high-performing engineering teams.

• Strong understanding of modern software engineering practices including software architecture & engineering principles, code quality, automated testing, CI/CD, and AI-assisted development.

• Strong communication, collaboration, decision-making, and organisational leadership skills.

• Experience driving engineering quality, operational excellence, reliability, security, and continuous improvement.

• Experience working in Agile delivery environments using tools such as Jira & Confluence or equivalent.

• A data-driven mindset with the ability to use engineering, delivery, and operational metrics to improve team effectiveness and predictability.

• Experience leveraging coding agents, LLMs, and AI-assisted engineering tools to improve software delivery and team productivity will be a strong advantage.

• Experience in eCommerce is preferred.

• About the Organisation & Role:

  You will be part of the Consumer Intelligence & Engagement organisation responsible for delivering the intelligence and engagement capabilities that enable more relevant and personalised consumer experiences across digital channels. The organisation plays a key role in how consumers discover products, engage with content, and elevate experiences through membership & loyalty. Through capabilities such as personalisation, recommendations, consumer intelligence, experimentation, and AI-driven decisioning, the organisation helps deliver more contextual, data-driven interactions across the consumer journey.

  The Engineering Manager is accountable for engineering delivery, roadmap execution, operational excellence, and engineering team development. Partnering with Product Owners, Data Engineering & Analytics, Tech Leads, and peer engineering teams, you will enable predictable delivery, grow engineering talent, and build a high-performing culture focused on ownership, accountability, and continuous improvement.

• Enable delivery of scalable, reliable, and reusable services that power personalisation, recommendations, and consumer engagement experiences.

• Drive adoption of experimentation and data-driven decision making to continuously improve consumer experiences.

• Drive planning and execution against team objectives and key results (OKRs), ensuring alignment, accountability and transparent reporting.

• Own sprint execution, delivery planning, capacity management, dependency management, and risk management.

• Partner with Product Owners, Data Engineering and Tech Leads to deliver business outcomes.

• Drive engineering excellence through strong development practices, quality standards, operational discipline and continuous improvement.

• Coach engineers through regular feedback, mentoring, performance management, and career development.

• Build a high-performing engineering culture focused on ownership, accountability, collaboration, and learning.

• Establish effective engineering metrics and use data to improve team productivity, quality, and delivery predictability.

• Drive adoption of AI-assisted engineering practices and automation to improve productivity, quality, and delivery efficiency.

• Identify opportunities to leverage AI across software development, testing, documentation, knowledge management and onboarding.

• Collaborate with engineering leadership on hiring, staffing, onboarding, talent development, and succession planning.

• Manage delivery partners and vendors where applicable and ensure alignment with team objectives.

• 10+ years of software engineering experience, with experience leading engineering teams in an agile delivery environment.

• 3+ years of people leadership experience. 

• Strong experience leading roadmap execution, delivery planning, dependency management, and stakeholder engagement.

• Experience working with consumer data, behavioural signals, and event-driven architectures.

• Familiarity with personalisation, recommendations, consumer intelligence, experimentation, search, or decisioning platforms.

• Strong people leadership skills with experience in hiring, mentoring, developing, and retaining high-performing engineering teams.

• Strong understanding of modern software engineering practices including software architecture & engineering principles, code quality, automated testing, CI/CD, and AI-assisted development.

• Strong communication, collaboration, decision-making, and organisational leadership skills.

• Experience driving engineering quality, operational excellence, reliability, security, and continuous improvement.

• Experience working in Agile delivery environments using tools such as Jira & Confluence or equivalent.

• A data-driven mindset with the ability to use engineering, delivery, and operational metrics to improve team effectiveness and predictability.

• Experience leveraging coding agents, LLMs, and AI-assisted engineering tools to improve software delivery and team productivity will be a strong advantage.

Experience working with personalisation, recommendation, experimentation, search, or AI-powered consumer products will be a strong advantage