Walmart

Compliance

• Lead the development of visually compelling dashboards and reports that communicate IP and Brand Portal trends to Compliance executive audiences.
• Translate complex IP datasets into intuitive visuals and narratives that surface key insights, risks, and emerging patterns.
• Identify priority areas, trends, and signals to monitor across global IP programs, and design reporting frameworks to track performance and risk.
• Own global IP analytics and reporting, identifying trends across infringement types, enforcement activity and operational performance.
• Partner with Compliance, Legal, and Product teams to ensure insights are relevant and aligned to strategic priorities.
• Conduct deep-dive analyses to uncover non-obvious insights and inform decision-making.

Senior Manager, Specialty Compliance and Ethics – Global IP Intelligence & Analytics

Account Manager

• Own senior relationships with creative and media agency partners to drive adoption and revenue growth.
• Influence upstream strategy and creative development to position Walmart Connect as a full-funnel, omnichannel platform.
• Partner with agencies on joint go-to-market initiatives, thought leadership, and enablement.
• Review early creative concepts for activation feasibility and omnichannel opportunity.
• Contribute to joint agency business plans that increase share of spend and improve win rates.
• Equip Walmart Connect Sales teams with agency-specific creative materials, training, and deal accelerators.
• Support Walmart Connect Agency team in prospecting new relationships and unlocking incremental revenue opportunities.
• Elevate creative agency feedback to shape solutions, unlock innovation, and improve activation excellence.
• Establish clear success metrics to measure creative engagement, revenue impact, and partner growth.
• Collaborate cross-functionally to identify enhancements across product, programs, and processes.

Senior Partner, Ad Partner Management – Creative Strategy & Growth

Full-stack Engineer

• Design and build low-latency, highly available, multi-tenant distributed systems operating at internet scale
• Develop production-grade Rust services using async frameworks
• Optimize services for CPU efficiency, Memory footprint, Network throughput, Multi-tenant workload distribution
• Drive full SDLC in a cloud-native environment
• Architect and implement resilient microservices capable of multi-region, multi-tenant scale
• Integrate real-time ML inference services into high-throughput Rust backends

Senior Software Engineer – Full Stack

Program Manager

• Lead the planning and execution of large-scale technical programs, managing cross-functional dependencies and resource allocation to meet delivery goals
• Define program scopes, stage gates, and critical paths while driving clarity and alignment across teams and stakeholders
• Translate product requirements into technical designs, ensuring scalability, high availability, and performance of system solutions
• Identify risks, develop mitigation plans, and proactively resolve issues to maintain program momentum
• Establish and improve scalable workflows, prioritization frameworks, and automation opportunities to enhance program efficiency
• Communicate progress, risks, and impacts clearly to stakeholders, fostering alignment and informed decision-making.

Senior Manager, Technical Program Management – New Ventures

DevOps Engineer

• Detect and document defects bugs and errors for assigned component module and conducts analysis to determine the sources under guidance.
• Troubleshoot performance and availability bottlenecks for assigned application under guidance.
• Utilize established criteria for example probability of failure frequency of failure to measure site reliability.
• Monitors site reliability conditions and new reliability requirements.
• Assists in the design and development of a reliability program plan for a specific site environment.
• Applies appropriate tools services or applications for reliability prediction and other site improvements.
• Researches and assesses various reliability models for different site environments.
• Assist in the creation of simple modular extensible and functional design for the product solution in adherence to the requirements.
• Evaluate tradeoffs while designing across multiple components in a system based on the business requirements.
• Convert HLD to create detailed design for specific modules components of a product system.
• Understand nuances of designing for disaster recovery.
• Undertake infrastructure coding automation.
• Create and configure minimalistic Less Complex Highly Robust and high-quality code for a component module under guidance.
• Maintain records by documenting program development and revisions.
• Stay updated on the prevalent coding languages and frameworks in the industry outside the immediate scope of delivery.
• Identify repetitive and routine tasks in Continuous Integration Continuous Delivery CICD Testing or any other process that can be automated.
• Implement telemetry features as required under guidance.
• Apply security policy requirements to component module during code development configuration.
• Work with business partners to identify and document critical applications.
• Interprets and follows procedures in contingency plans.
• Explain the contingency and disaster recovery plans for assigned environment.
• Execute established procedures necessary to continue operations in an emergency.
• Participate in the design of a minimum operating environment for a computer based facility.
• Suggest metrics to monitor software or system performance.
• Monitor current performance data to ensure compliance with defined SLOs for multiple applications systems.
• Determine thresholds for monitoring metrics and triggers alerts based on thresholds.
• Supervise specific procedures to proactively check the health of applications and infrastructure including a variety of operating systems hardware and software.

Senior Site Reliability Engineer

QA Engineer

• Conduct finite element analysis simulations to evaluate structural behavior and performance of mechanical components, assemblies, and systems.
• Collaborate with design and development teams to define simulation objectives, constraints, and boundary conditions.
• Develop and implement FEA models using software tools such as ANSYS, Abaqus, or similar platforms.
• Perform static, dynamic, thermal, and modal analyses to assess mechanical response under different operating conditions.
• Interpret simulation results and provide actionable insights to guide design modifications and improvements.
• Validate FEA predictions through correlation with experimental data and real-world testing.
• Document analysis methodologies, assumptions, and results in clear and concise technical reports.

Senior Manager, Quality Assurance – FEA Engineer

Product Designer

• Manage project team User Experience (UE) deliverables by establishing and communicating project needs and measures of success to all functional leads (Design, Architecture, Prototyping, and Writing); directing cross-functional collaboration activities; driving the attainment of project goals; creating customer experience scenarios; advocating for the customer in experience workflow; requesting and attending usability sessions; participating in brainstorming sessions; presenting user experience flow and project decisions to all levels of leadership; and negotiating product feature trade-offs and impact on product development lifecycle with Engineering and Product Management.
• Support User Experience strategy and innovation by evaluating the current competitive landscape for compelling customer experiences; analyzing future trends and forecasts in related fields; constructing compelling artifacts outlining present conditions and proposed solutions; and presenting information within and across the organization to gain strategic alignment and encourage change.
• Create the User Experience designs (user interface design comps, visual design specs, prototypes, and other visual assets) for medium-sized, diverse projects (i.e., new check-out system) by participating in overall project design definition activities; defining methods to be used, including competitive audits and secondary research; driving creation of designs, and specs that will advance the company's merchandising, business, marketing, and branding objectives; presenting designs to project and business teams for review; and working with Engineering leads to determine efficacy of the given solution.
• Mentor Associate Designers and Designers in day-to-day User Experience design methodology and principles by providing guidance on project-based design tasks; and creating educational design modules for the User Experience practice curriculum.
• Lead medium-sized, diverse, cross-functional User Experience (UE) projects (i.e., new check-out system of 70+ pages) to generate the overall user experience solution and deliver usability on product within feasibility limits by coordinating all UE (Design, Architecture, Writing, Prototypes) and Research (market and user research) activities and deliverables to plan, test and execute the recommended user experience to the Product Manager.

UX Designer III

Data Scientist

• Develop Price Elasticity and Price Recommendation algorithms
• Build scalable models for pricing and assortment optimization
• Ensure transparency on algorithmic recommendations
• Prepare accurate data for model training
• Document developed frameworks and concepts

Senior Data Scientist, Pricing

Data Engineer

• Design, build, and maintain scalable data pipelines and infrastructure for large-scale data processing and analytics using technologies such as Hadoop, Spark, distributed event store and stream-processing platform, in-memory databases, and other big data tools.
• Build large-scale distributed event streaming platforms such as Apache Kafka and Google Cloud Pub/Sub.
• Develop and deploy real-time data processing pipelines for near-real-time (NRT) streaming data.
• Design and implement data storage solutions using Data Lakes and NoSQL databases to support high-volume and high-velocity data processing.
• Develop and implement machine learning models to support predictive analytics and automation.
• Develop and deploy natural language processing (NLP) models using chatgpt and other Gen AI focused tools and platforms.
• Work with data scientists, analysts, and other stakeholders to understand data requirements and develop solutions that meet their needs.
• Develop and maintain data quality and governance processes to ensure data accuracy, completeness, and consistency across different systems and sources.
• Design and implement job scheduling and automation using scheduling tools.
• Optimize data processing workflows using managed services provided by cloud platforms.
• Identify and resolve performance bottlenecks, data quality issues, and other technical challenges that arise in large-scale data processing environments.
• Create and maintain documentation and best practices for data engineering processes and systems.
• Stay up-to-date with the latest trends and innovations in big data, cloud computing, and related technologies, and adapt these technologies to improve data processing and analytics capabilities.
• Build data models to support data visualization and analysis.
• Develop and maintain data pipelines to extract, transform, and load data from various sources into the data visualization tool.
• Build and maintain dashboards and reports to provide insights into business performance and trends.
• Develop and maintain data validation and testing procedures to ensure data accuracy.

Staff Data Engineer

Product Manager

• Own the strategy and roadmap for core capabilities that power assortment availability, marketplace eligibility, and compliance across global markets.
• Define and evolve the long-term strategy and roadmap for item transactability.
• Identify opportunities to expand assortment and improve item availability across global markets.
• Establish clear success metrics aligned to business outcomes.
• Own end-to-end product lifecycle for assortment availability logic, marketplace eligibility, and compliance capabilities.
• Design and execute A/B tests to validate hypotheses and measure impact.
• Drive alignment across engineering, business, marketplace, and operations stakeholders.
• Influence stakeholders at all levels through clear written and verbal communication.
• Partner closely with engineering to shape scalable solutions.

Principal Product Manager, Item Transactability

Security Engineer

• Serve as the subject matter expert (SME) for Managed File Transfer platforms (e.g., SFTP, FTPS, HTTPS-based transfers, enterprise MFT solutions).
• Define and drive the strategic roadmap for modernizing MFT authentication and authorization models.
• Lead the transition from static SSH key-based authentication to SSH certificate-based authentication at enterprise scale.
• Establish architectural standards and patterns for secure file movement across internal, cloud, and third-party environments.
• Provide technical leadership for high-availability, scalable, and secure MFT infrastructure.
• Design and implement SSH certificate authority (CA) architecture and lifecycle management processes.
• Develop automation frameworks for SSH key and certificate provisioning, rotation, revocation, and auditing.
• Reduce risk associated with unmanaged or orphaned SSH keys through governance, discovery, and remediation programs.
• Integrate SSH certificate-based authentication into CI/CD pipelines and automated workloads.
• Collaborate with Identity & Access Management (IAM) teams to align MFT authentication with enterprise identity strategies.

Staff Software Engineer, Information Security – Managed File Transfer Security Transformation

Events

• Design and build scalable backend services and APIs that support complex digital experiences.
• Lead architecture discussions, performance optimization, and scalability improvements.
• Partner with product, frontend, data, and UX teams to deliver solutions that improve the end-to-end experience.
• Mentor engineers and contribute to a strong culture of learning.
• Champion best practices in architecture, security, testing, and operational excellence.
• Build secure, high-performance distributed systems that handle large volumes of traffic and data.
• Develop reusable frameworks and maintain high code quality through automated testing and thoughtful code reviews.
• Troubleshoot complex production issues and lead root cause analysis.
• Contribute to system resilience, performance, and security improvements.
• Design and implement services using microservices and service-oriented architecture with Spring.
• Build and maintain CI/CD pipelines using tools like Jenkins and GitHub.

Senior Software Engineer, On-Site Hiring Event

Learning and Development

• Lead enterprise learning and development strategy by designing and delivering training solutions that drive business outcomes, influence behavior change, and meet customer and associate needs.
• Translate business objectives into scalable learning strategies by analyzing learner needs, performance gaps, and operational priorities, and aligning solutions to long‑term business goals.
• Drive the development and governance of high‑quality learning content by ensuring brand consistency, instructional excellence, accessibility, and best‑in‑class delivery across modalities.
• Provide strategic direction for learning initiatives by overseeing needs analysis, blended learning design, content lifecycle management, and continuous improvement practices.
• Partner cross‑functionally with senior leaders and stakeholders to ensure learning solutions are integrated into business operations and delivered on time and on budget.
• Build and lead a high‑performing learning organization by identifying capability gaps, attracting and developing top talent, supporting succession planning, and fostering mentorship and engagement.
• Establish learning design standards and success metrics by defining effectiveness measures, evaluating program impact, and expanding learning management and delivery capabilities.
• Champion a culture of integrity, inclusion, and accountability by embedding Walmart’s values into all learning programs and reinforcing ethical standards and the Open Door Policy.
• Oversee learning and development budgets by forecasting resource needs, monitoring spend, evaluating financial impact, and ensuring fiscal discipline throughout project lifecycles.
• Develop and leverage internal and external partnerships to accelerate innovation, expand learning capabilities, and support community engagement and business priorities.

Senior Director, Learning and Development

• Design, build, test, and deploy scalable, intelligent data solutions that support millions of Sam’s Club customers—while laying the groundwork for Agentic AI systems that consume and act on this data.
• Partner with engineering, AI/ML, and product teams to ensure data services are discoverable, trustworthy, and consumable by next-gen AI agents and LLM-based systems.
• Collaborate across Sam’s Club engineering teams to contribute to a data-first, agent-aware architecture and foster a culture of innovation around intelligent automation.
• Engage with Product Management and Business teams to prioritize data products that will drive autonomous decision-making and context-rich recommendations.
• Build features that enable seamless integration between structured/unstructured data and downstream AI agents, enabling smarter responses, faster insights, and automation.
• Deploy and monitor products on cloud platforms with agent observability, telemetry, and auditability in mind.
• Develop and implement best-in-class data health monitoring, traceability, and context enrichment processes to ensure data used by agents is reliable and governed.
• Lead technical solutioning for full-lifecycle projects, with an eye on how data will power autonomous workflows, co-pilots, and multi-agent systems.

Senior Data Engineer – Senior Software Engineer

• Develop and own comprehensive product roadmaps, aligning features with business goals and market demands.
• Utilize data analysis and product analytics to inform decisions and identify trends for continuous improvement.
• Engage with stakeholders to communicate the product vision and influence cross-functional teams.
• Lead product lifecycle management, including MVP creation, rollout, and scaling of complex products.
• Drive customer-centric solutions by understanding needs through research, journey mapping, and process optimization.
• Mentor team members on product strategy, development practices, and emerging technologies.
• Promote adoption of innovative technologies and ensure quality through rigorous testing and evaluation.