Software Engineer II (Data)Were looking for experienced Software Engineers to play a key role in delivering impactful software products as part of a high-performing Data Engineering team. Youll collaborate with Product Managers, UX Designers, Architects, and Engineers to modernize and build products aligned with the team's strategic goals. Engineering efforts leverage multi-cloud platforms, human-centered design, Agile, and DevOps practices to deliver robust, scalable, and high-quality solutions at a rapid pace.Youll be part of a team that values inclusivity, autonomy, collaboration, attention to detail, and the ability to navigate ambiguity and thrive in a dynamic environment.Team OverviewThe Data and AI enablement teams focus on accelerating end-to-end data and AI adoption across Advanced Analytics, Product teams, and Business Operations. The team drives data strategy, availability, and adoption through self-service tools such as AI model registry, model activation frameworks, multichannel testing platforms, and customer relationship analytics — all developed under a strong Responsible AI framework.The Business Data Domain team, part of the broader Data & AI organization, works at the intersection of modern data engineering and business enablement. The team partners across internal functions to architect new solutions, modernize legacy systems, adopt engineering best practices, and foster a culture of inclusive collaboration.Key ResponsibilitiesContribute to the delivery of complex technical solutions by breaking down large problems into smaller, actionable componentsParticipate actively in team planning and sprint activitiesEnsure quality and integrity of the SDLC through usage of appropriate tools and best practicesIndependently triage complex technical issuesGuide delivery of business needs spanning multiple applicationsPromote agile development practices and mentor peers on collaborative teamworkCoach new hires and junior engineers to enhance their impact and efficiencyContribute to internal tools and library developmentUnderstand and align technical work with business needsCommunicate status, challenges, and solutions proactivelyIdentify and mitigate risks in both individual and team workCollaborate across teams to devise innovative solutions for customer problemsStay committed to critical delivery timelinesBasic Qualifications3+ years of relevant professional experience with a degree or equivalent1+ years of experience designing data lakes and reviewing code for design compliance1+ years of experience tuning data models for performance and data quality1+ years of hands-on experience with multiple programming languages1+ years of experience in cloud computing services (e.g., AWS, Google Cloud)1+ years of practitioner-level experience in large-scale data warehouse and BI tool migrations to cloud-based data lakes (e.g., Google Cloud)Preferred QualificationsExperience in omni-channel environments or high-scale systemsPassion for exploring and adopting new technologies and trendsProactive learning and knowledge-sharing attitudeAbility to effectively balance technical depth with business goalsTechnical Skills (Tools, Technologies, Frameworks, Platforms)Programming Languages:Multiple programming languages (unspecified, but likely includes Java, Python, etc.)Cloud Computing Services:AWS (Amazon Web Services)Google Cloud Platform (GCP)Data Engineering & Storage:Data lake design and developmentCloud-based data lake migration (e.g., from traditional BI tools to Google Cloud Data Lake)Data modeling (performance tuning and data quality optimization)Big Data / Data Warehouse Tools:Large-scale data warehouse systemsBusiness Intelligence (BI) tools (unspecified, but may include tools like BigQuery, Redshift, Snowflake, etc.)Self-Service Data Tools (implied exposure):AI model registry toolsMultichannel testing frameworksCustomer analytics platformsApplied Technical Skills (Practices, Design Principles, Methodologies, etc.)Data Engineering Practices:Designing scalable data lake architectureData model optimization (performance, quality)Data quality engineering and best practicesData availability and consumption at scaleData enablement for AI/ML workflowsCloud-Native Engineering:Architecting solutions on cloud platforms (AWS/GCP)Migration from traditional BI to cloud-native infrastructureUnderstanding cost-efficient, scalable, and fault-tolerant cloud systemsSoftware Development Practices:Full software development lifecycle (SDLC) understandingCode reviews, design complianceAgile development methods (Scrum, Kanban)DevOps mindset (although not tools-heavy in this JD)Problem Decomposition & Solution Design:Breaking down large business problems into deliverable technical componentsMulti-application solution planning and architecture alignmentCollaboration & Team Practices:Working across functions with Product, UX, ArchitectureMentoring and coaching junior developersImproving internal libraries, tools, and automation capabilitiesCommunication & Risk Management:Proactive communication of blockers, risks, and progressIdentifying and mitigating delivery or quality risks earlyAI/ML Enablement Support:Integrating AI models into data pipelines (via model registry and activation layers)Supporting Responsible AI development practices (ethical data usage, model monitoring)

Software Engineer II (QA)We are hiring Software Engineers to deliver world-class digital experiences across conversational and personalized customer touchpoints. You will work with Product Managers, Experience Designers, Architects, and fellow Engineers to modernize and build innovative solutions that align with team vision and strategy. The engineering work will leverage multi-cloud platforms, human-centered design, Agile methodologies, and DevOps practices to deliver high-velocity, high-quality experiences.Youll be part of a fast-paced, inclusive, and collaborative environment, thriving through problem-solving, continuous learning, and technical mentorship.Team OverviewConversational Experiences Team: This team delivers digital customer-facing shopping experiences powered by AI. The focus is on building humanized and personalized product discovery through natural, conversational interactions across digital platforms. This includes leveraging generative content and immersive UX to enhance customer engagement.Personalization Experiences Team: This team builds backend services to personalize the customer journey across all touchpoints including shopping, purchase, membership, and service engagements. Solutions are driven by customer data and experimentation to tailor services and create deeper, long-term relationships through measurable impact.Key ResponsibilitiesDeliver complex solutions by breaking down large problems into modular tasksParticipate actively in team planning and sprint activitiesEnsure quality and integrity in the SDLC using best practices and toolsIndependently triage and resolve complex issuesCollaborate on planning for delivery of business needs across multiple systemsPromote and coach Agile development practicesMentor new hires and junior engineersContribute to internal tool and library developmentUnderstand the product and business domain supported by your applicationsCommunicate proactively on status, blockers, and risksIdentify and mitigate technical and delivery risksCollaborate across teams to solve business challengesCommit to timely delivery of high-impact featuresBasic Qualifications3+ years of relevant professional experience with a degree or equivalent3+ years of development experience in React Native or ReactJS1+ year hands-on experience with React Native, including tools and technologies like:XCode, Android Studio, CocoapodsReact Navigation, React Query, TanStack, MetroDeeplinking, Push Notifications, GraphQLGit, Jest, Lerna, NX, Yarn, Node.js, AxiosReact Web development experience with technologies such as:NPM, Yarn, Babel, Webpack, TypescriptGraphQL, Jest, Mocha, Chai, CypressReact Query, React HooksChrome DevTools, Charles ProxyUnderstanding of:State/session management, caching, JavaScript dependency managementCollaboration with Product and Experience Design teamsAbility to triage and manage complex production issuesExperience building high-scale, high-performance applicationsPreferred QualificationsExperience in omni-channel retail or e-commerce domainsProficiency in designing and building GraphQL queries and integrating with front-endExperience working on features leveraging Generative AI or Machine LearningAbility to build and optimize web apps in a cloud environment with strong system design knowledgeUnderstanding of networks, security, firewalls, load balancers, DNS, and other infrastructure componentsTechnical Skills (Tools, Technologies, Frameworks, Platforms)Frontend Technologies:ReactJSReact NativeReact Native-Specific Tools & Frameworks:XCodeAndroid StudioCocoapodsReact NavigationReact Query / TanStack QueryMetroDeeplinkingPush NotificationsReact Web Development Tools:NPM / YarnBabelWebpackTypeScriptGraphQLJest, Mocha, Chai (Testing frameworks)Cypress (End-to-End testing)React HooksReact QueryChrome DevToolsCharles ProxyBackend Integration / Communication:GraphQL APIsAxios (HTTP client)Node.jsPackage & Workspace Management:LernaNXVersion Control:GitApplied Technical Skills (Practices, Design Principles, Methodologies, etc.)Software Engineering Practices:Modular architecture designScalable application developmentPerformance optimizationJavaScript state/session managementCaching strategiesManaging JavaScript dependencies efficientlyAgile Engineering & DevOps Mindset:Sprint planning and Agile ceremonies participationWorking in Agile cross-functional teamsSDLC quality ownership using CI/CD practices (implied)Testing & Quality Engineering:Unit testing (Jest, Mocha, Chai)Integration and E2E testing (Cypress)Debugging via Chrome DevTools and Charles ProxyCollaboration & Communication:Strong coordination with Product Managers and UX DesignersTechnical mentorship for junior engineersCross-functional problem-solving collaborationProblem Solving & Production Support:Triage and manage complex production issuesRoot cause analysis and issue resolution under tight timelinesCloud-Native Development (Preferred):Web application development optimized for cloud platformsBasic system design principles for cloud appsAwareness of network components and infrastructure: firewalls, load balancers, DNS, etc.AI/ML Integration (Preferred):Building features leveraging Generative AI or Machine Learning capabilitiesWorking with AI-powered conversational platforms or personalization modelsCustomer Experience & Personalization:Applying customer behavior insights for personalized UI/UXData-driven experimentation to drive personalization outcomes

Software Engineer I (Full Stack)We are 2 hiring Software Engineers to play a key role in delivering high-impact software products within a fast-paced, collaborative engineering environment. You will work closely with Product Managers, UX Designers, Architects, and fellow Engineers to modernize and build products that align with the teams vision and strategic goals. These products are developed leveraging multi-cloud platforms, human-centered design, Agile methodologies, and DevOps practices to deliver industry-leading solutions with speed and quality.Youll be part of a skilled engineering team that thrives on inclusion, attention to detail, adaptability, and a passion for continuous learning.Team OverviewThe Integration Systems team is responsible for the end-to-end design, development, and maintenance of backend systems that integrate various technologies and platforms in a customer engagement environment. This includes creating a secure, efficient infrastructure that connects systems like CRM platforms, telephony, chat services, and customer tools. The team also plays a vital role in capturing and managing data to support analytics, business insights, and maintaining a comprehensive repository of customer interactions. The work contributes directly to enhancing customer satisfaction, optimizing operational performance, and enabling strategic decisions through advanced analytics.Key ResponsibilitiesIndependently complete small to medium features and bug fixesParticipate in planning and team discussionsTriage and manage issues independently or with guidanceContribute to technical design and code reviews with supportFollow best practices and coding guidelines consistentlyMentor new team members and contribute to a collaborative environmentPrioritize and manage personal workload effectivelyUnderstand the business domain related to your applicationsProactively communicate progress, blockers, and risksPropose automation ideas to increase team effectivenessFocused learning to develop expertise in one or more technical areasCommit to meeting critical delivery deadlines and milestonesBasic Qualifications2+ years of hands-on software development experience (with degree or equivalent)Java programming experience (2+ years)Working knowledge of Spring MVC and Spring BootDevelopment experience in RESTful APIsWorking knowledge or experience in RDBMS or NoSQL databasesWriting unit tests using JUnit or SpockExperience using Kafka or similar messaging systemsFamiliarity with Git or other version control systemsWriting build scripts using Maven, Gradle, etc.Ability to triage and debug production issuesProblem-solving and analytical thinking skillsPreferred QualificationsExperience in an omni-channel or retail environmentUnderstanding of Microservices architectureHands-on experience with CI/CD pipelines using Jenkins or GitHub ActionsFamiliarity with Cloud platforms like AWS or GCPBasic knowledge of Groovy scriptingStrong adaptability to learn new technologies and toolsExcellent communication and teamwork skillsTechnical Skills (Tools, Technologies, Frameworks, Platforms)Programming Languages & Frameworks:Java (Core Java)Spring MVCSpring BootAPI Development:RESTful API design and implementationDatabases:Relational Databases (RDBMS)NoSQL DatabasesTesting Frameworks:JUnitSpockMessaging & Streaming Systems:Kafka (preferred)Version Control & Build Tools:Git (Version Control)MavenGradleCI/CD & DevOps Tools:JenkinsGitHub ActionsCloud Platforms (Preferred):AWS (Amazon Web Services)GCP (Google Cloud Platform)Scripting:Groovy (preferred)Applied Technical Skills (Practices, Design Principles, Methodologies, etc.)Software Engineering Practices:Clean Code principlesModular code developmentCode reviews and peer feedbackAgile Methodology:Team planning and participation in Agile ceremoniesIterative development cyclesDevOps Practices:Writing CI/CD pipelinesDeployment automationBuild scriptingProduction Support:Triage and manage production issuesDebugging and root cause analysisSystem Design Principles:Basic understanding of Microservices architectureComponent-based design for scalability and maintainabilityData Engineering Concepts (Basic Exposure):Managing conversation repositoriesCapturing and handling customer interaction data for analyticsAutomation Mindset:Identifying areas for automation to improve team efficiencyCollaboration & Communication:Cross-functional collaboration with product, design, and architecture teamsRegular updates on progress and blockersLearning & Growth Orientation:Focused upskilling in technical areasAdapting to new technologies/tools

We are looking for 10 Software Engineer IIs (Data) to play a key role in delivering software products within a high-impact engineering team. You will collaborate with Product Managers, User Experience Designers, Architects, and other team members to modernize and build products aligned with the product teams vision and strategy. These products will leverage multi-cloud platforms, human-centered design, Agile, and DevOps principles to deliver industry-leading solutions at high velocity and exceptional quality.Youll be working alongside talented software engineering professionals, leading by example, mentoring others, and thriving in a fast-paced environment by embracing inclusive behaviors, demonstrating attention to detail, and navigating ambiguity.Team OverviewThe Data and AI enablement teams focus on accelerating end-to-end data and AI adoption across advanced analytics, product teams, and sales and operations functions. The broader team is responsible for data strategy, availability, and adoption via self-service tools, including AI model registry, activation of models for business, multichannel testing, and customer relationship measurement all in alignment with Responsible AI principles.The Sales Hub team supports seamless execution and distribution of sales transactions. It plays a pivotal role in delivering accurate data promptly, enabling better inventory management, financial planning, sales performance improvement, customer engagement, risk mitigation, and competitive advantage.Key ResponsibilitiesContribute to the delivery of complex solutions by breaking down big problems into smaller piecesActively participate in team planning activitiesEnsure quality and integrity of the SDLC and identify opportunities to improve team practices through recommended tools and methodsTriage complex issues independentlyStay informed of the technology landscape and help plan delivery of broad business needs across multiple applicationsSet a consistent example of agile development practices and coach peers on cross-functional collaborationMentor junior engineers and help new hires ramp upContribute to and enhance internal libraries and toolsUnderstand the business domain supported by your applicationsProactively communicate status and issues to leadershipIdentify risks and challenges in your work and team deliverablesCollaborate across teams to solve customer-centric problems creativelyShow commitment to critical delivery deadlinesBasic Qualifications3+ years of relevant professional experience with a bachelors degree OR equivalentAt least 1+ years in cloud engineering and architecture with AWS services (e.g., EC2, Lambda, S3, RDS, API Gateway, etc.)2+ years of experience in microservices architecture using Java, Kafka, and NoSQL databases2+ years of Java and Spring Boot development with a strong foundation in software engineering principlesExperience building and deploying microservicesFamiliarity with CI/CD pipelines and tools such as Jenkins, GitLab CI, or AWS CodePipelineAbility to understand business problems and apply engineering design principles to solve for scalability, performance, and securityProven experience working directly with engineers, product managers, and stakeholdersStrong communication and collaboration skillsPreferred QualificationsExperience in omni-channel retail or sales environmentsFamiliarity with Docker containerization and automated testing practicesPassion for keeping up with new technologies and industry trendsProactive learning mindset and knowledge-sharing attitudeExperience with monitoring/logging tools like Prometheus, Grafana, ELK stack, or AWS CloudWatchUnderstanding of security best practices in cloud environmentsTechnical Skills (Tools, Technologies, Frameworks, Platforms)Programming Languages & Frameworks:Spring BootJavaCloud Platforms & Services (AWS-focused):AWS EC2AWS LambdaAWS S3AWS RDSAWS API GatewayAWS CodePipelineAWS CloudWatchMicroservices Architecture:Microservices Design & DevelopmentService-to-service communicationAPI design and implementationDatabases:NoSQL DatabasesData Streaming / Messaging Systems:KafkaDevOps & CI/CD Tools:JenkinsGitLab CICI/CD Pipelines (general understanding and implementation)Containerization & Virtualization:DockerMonitoring and Logging Tools:PrometheusGrafanaELK Stack (Elasticsearch, Logstash, Kibana)AWS CloudWatch (mentioned above under AWS)Applied Technical Skills (Practices, Design Principles, Methodologies, etc.)Software Engineering Principles:Modular and scalable architectureObject-oriented programming (OOP)Code quality, maintainability, and reusability best practicesAgile Development Methodologies:Scrum/Kanban practicesAgile ceremonies (Planning, Standups, Retrospectives)DevOps Practices:Continuous Integration / Continuous DeploymentInfrastructure as Code mindsetSystem Design and Architecture:Breaking down complex systems into smaller manageable componentsDesigning solutions that scale and perform under loadCloud Engineering & Architecture Principles:Multi-cloud awarenessDesigning for resilience, fault-tolerance, and cost-efficiencyAI/ML Enablement (Supporting Systems, not core model development):AI model registry integrationModel activation pipelinesResponsible AI principles (adoption, governance)Data Engineering & Analytics Support:Data availability and strategy designSelf-service data tooling enablementMultichannel testing frameworksCustomer relationship measurement systemsCollaboration & Communication:Working with cross-functional teams (Product, UX, Architecture)Problem-solving with cross-team dependenciesProactive communication and status reportingQuality Engineering:Automated Testing practicesEnsuring high-quality software delivery through unit testing, integration testing, and regression testingSecurity Best Practices (Cloud-focused):Secure deployment patternsIdentity and access management in cloud setups

We are looking for a passionate and skilled System Development Engineer to join our dynamic engineering team. The ideal candidate will be responsible for troubleshooting, diagnosing, and fixing production software issues, developing tools, automations and monitoring solutions, performing software maintenance and configuration, implementing fixes for internally developed code (primarily in Java and Ruby on Rails), resolving technical challenges, and improving operational excellence and system readiness.Key Responsibilities:- Provide support for incoming tickets, including extensive troubleshooting tasks, across multiple products, features, and services- Work on operations and maintenance-driven coding projects, primarily in Ruby, Rails, Java, Python, shell scripts, AWS, and web technologies- Support software deployment in staging and production environments- Develop internal tools to aid operations and maintenance- Prepare system and support status reports- Take ownership of one or more digital products or components- Coordinate customer notifications and workflow follow-ups to maintain service level agreements- Collaborate with the support team for hand-offs or escalation of active support issues- Contribute to building a team-specific knowledge base and skill setA Day in the Life:- Support incoming system tickets with hands-on troubleshooting- Participate in coding and automation tasks using AWS and web technologies- Assist with software deployments in various environments- Continuously improve internal tooling and operational workflows- Maintain clear status updates and documentation of support efforts- Contribute to and enhance team knowledge-sharing practicesBasic Qualifications:- Knowledge of at least one modern programming language such as C, C++, Java, or Perl- Hands-on experience in at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, or Ruby- Experience with tools for automation (building, testing, releasing, or monitoring)Preferred Qualifications:- Proficiency in Python scripting language- Experience working with highly concurrent, high throughput systems- Understanding of complex distributed systemsCritical Technical Skills (must-haves):- Java, Ruby on Rails, Python, AWS, Automation tools- Troubleshooting and debugging production systems- Monitoring solutions and system reporting- Web technologies, shell scripting *Only women, including those returning to work after a career break, are eligible to apply for this job.