Walmart

Risk

• Plays a critical role in identifying, assessing, and mitigating cybersecurity risks within the organization.
• Conducting comprehensive vulnerability assessments, penetration testing, and security audits to safeguard network infrastructure and data assets.
• Collaborating with stakeholders to develop and implement risk management strategies aligned with corporate policies and industry standards.
• Analyzing emerging threats and recommending security enhancements.
• Ensuring compliance with established frameworks to protect organizational integrity and support business objectives effectively.
• Reporting to the Director of Technical Controls Assessment and contributing to the assessment of solutions to be deployed across the Walmart enterprise while working with cross-functional teams and leadership.

Risk Expert III

Security Engineer

• Perform required tasks with or without accommodation.
• Provide input on protocols, SOPs, and training. Ensure compliance with security policies and company guidelines. Initiate emergency protocols and provide tactical responses.
• Respond to incidents like domestic violence, active shooter, fire, and severe weather. Provide first aid, CPR, and investigate security breaches.
• Monitor alarms and intrusion systems. Ensure compliance with regulations (e.g., PCI, OSHA) and report violations.
• Prioritize tasks, collaborate with teams, and adapt to feedback.
• Follow company policies, ethics, and use the Open Door Policy.
• Build relationships with internal and external partners to ensure safety. Provide emergency response and customer service.

Physical Security Specialist

Engineer

• Design, build, and evolve enterprise-scale SIEM platforms.
• Enable alerting capabilities by monitoring logging metrics and KPIs.
• Identify gaps in logging processes and collaborate cross-functionally to ensure compliance.
• Provide operational support for the critical infrastructure that underpins SIEM and SOAR platforms.
• Design and develop processes that ensure data protection and compliance with industry standards.
• Evaluate operational processes, measure outcomes, and identify opportunities for improvement.
• Define architectural blueprints and technology stacks to optimize product performance and integrations.

Distinguished SIEM Engineer

Backend Engineer

• Own the architecture and technical direction of large-scale, distributed backend systems
• Design and build scalable backend platforms and APIs using Java, Node.js (TypeScript), and Python
• Design, build, and operate real-time conversational and search platforms
• Partner closely with machine learning engineers, applied researchers, and data scientists
• Lead complex technical initiatives end-to-end
• Set and enforce backend engineering standards
• Drive reliability, scalability, and performance improvements
• Establish strong observability practices
• Mentor and influence senior and junior engineers
• Collaborate with product, design, and business stakeholders
• Support production operations
• Continuously evaluate emerging backend and AI platform technologies

Principal Software Engineer – Backend

Data Scientist

• Collaborate closely with data scientists, machine learning engineers, and software engineers to design, architect, build, deploy, operate, and optimize production-grade AI/ML and GenAI systems
• Design end-to-end architectures for GenAI, agentic AI, and data-intensive applications, ensuring scalability, observability, reliability, security, and responsible AI compliance
• Design and build self-service voice and chat AI systems, including LLM-powered conversational and agentic experiences that support autonomous, multi-step task execution across People Support workflows
• Construct and evolve multi-agent intelligent workflows, translating natural language inputs into goal-directed actions using orchestration frameworks, tools, and robust state and memory management
• Design and develop supporting microservices for AI systems, and integrate them with existing enterprise platforms, APIs, and workflows
• Develop, deploy, and operate production-grade real-time and batch ML/GenAI services, supporting low-latency inference, orchestration, and fault-tolerant execution
• Partner with product managers to design user journeys, feedback loops, and telemetry strategies, and analyze user behavior to continuously improve system and agent outcomes
• Define and own comprehensive evaluation strategies for GenAI and agentic systems, including offline and online evaluation, task success metrics, grounding and hallucination detection, latency and cost controls, A/B testing, and user outcome measurement
• Identify and propose AI/ML and agentic AI use cases that improve business processes, and rapidly build MVPs and POCs to help stakeholders assess feasibility and impact
• Mentor and guide data scientists and ML engineers, helping grow technical depth, system thinking, and business context within the team
• Define and drive responsible AI practices, including safety guardrails, monitoring, governance, explainability, and human-in-the-loop mechanisms to ensure trustworthy AI in production
• Collaborate with applied researchers and platform teams to iteratively improve models, prompts, tools, memory strategies, and MLOps practices

Principal Data Scientist, GenAI

Full-stack Engineer

• Make public cloud solutions available through Walmart’s automation platform.
• Troubleshoot business and production issues
• Work with consumers, both for understanding their requirements and for helping them onboard and make optimal use of the platform.
• Interact with Walmart engineering teams across geographies to leverage expertise and contribute to the tech community.
• Engage with Product Management and Business to drive the agenda, set your priorities and deliver awesome products.
• Envision/Design/Build innovative solutions for solving Walmart scale problems
• Study evolving trends and come up with ideas to power the next generation of the product
• Think about efficiency, security and ways to reduce consumer inconveniences while designing/implementing solutions
• Implement and drive adoption of best practices in design, coding and testing
• Have a bias for action in tackling complex problems
• Take part in all development activities like design, implementation, testing, release and support.
• Be obsessed about process automation
• Prioritize and deliver awesome products

Software Engineer II

Technical Program Manager

• Lead the delivery of enterprise-wide data products and Single Source of Truth (SSOT) initiatives
• Coordinate the rollout of data products, ensuring they are robust, compliant, and deliver measurable business value
• Work closely with engineering, product, and market teams to ensure scope clarity, milestone tracking, and market readiness
• Own observability, billing, metering, and reporting for each product
• Embed governance, analytics, and AI/ML enablement across data product clusters
• Orchestrate and optimize the delivery of enterprise data programs and platforms, enabling secure, scalable, and governed data access and analytics
• Ensure focused execution, milestone tracking, and stakeholder engagement across assigned data products

Communications

• Create bold strategy for cohesive storytelling, utilizing owned and earned channels, to reach internal and external audiences.
• Partner with the extended communications team, tech and product leaders, and stakeholders to source compelling stories that drive thought leadership.
• Communicate with brevity and purpose, making complex topics simple and easy to understand, regardless of format.
• Think differently, seeing around corners and connecting dots to tell richer stories that reinforce technology thought leadership.
• Modernize the way we communicate, constantly testing new ways to make an impact.
• Collaborate across global communications team members, improving culture and ways of working.

Senior Manager, Communications – Tech and Product

Compliance

• Drive efficiencies in the audit/review process.
• Assist relevant stakeholders in root causes analysis of audit/review findings.
• Assist in the validation of control design and effectiveness.
• Identify process deficiencies, by testing performance of controls against company procedures and/or external regulatory/accounting requirements.
• Ensure compliance with company policies and procedures.

Manager, Specialty Compliance and Ethics – Testing and Monitoring

• Design, develop, and maintain scalable data pipelines to process and analyze log data.
• Leverage workflow orchestration tools in a containerized environment.
• Build and optimize ETL processes for efficient log parsing, transformation, and storage.
• Work with distributed computing frameworks; integrate with both on-prem, and cloud infrastructure to support high-volume data ingestion.
• Collaborate closely with data scientists, security analysts, and engineers to provide clean, structured data that supports analytics and decision-making.
• Protect the data of millions of customers, associates, and Walmart’s ever-expanding infrastructure across the globe.

Staff Data Assurance Engineer

• You will be joining a team that is responsible for maintaining systems that make threat detection possible.
• We maintain and support the SIEM and SOAR systems that make threat detection possible.
• Provide log collection capabilities in support of identifying “Bad” & “Evil” and meeting government or other mandated compliance collection & retention requirements.
• A technologist who is informed on security industry trends, mature skillsets, architecture knowledge, and has a problem-solving mindset.
• An individual who enjoys learning and building from experience to develop tools that will inhibit threat actors and their methods.
• You are inquisitive with a passion for learning and have an understanding of various technologies.
• An individual who has the ability to create scripts for various tasks.
• You will need the mindset of a teacher, mentoring and developing more junior engineers.

Senior SIEM Engineer

• Collaborate with leaders in Sales and other inter-dependent teams to design, develop, and propose automation and AI solutions for reporting and measurement needs
• Own and develop scaled reporting solutions for Sales team needs
• Manage reporting collateral, including dashboards, to facilitate teams' understanding of business health and goal achievement levels
• Address ambiguous strategic questions facing the business and collaborate with leaders across MAP to build business cases for new business initiatives
• Ensure smooth execution of these initiatives across diverse cross-functional partners
• Develop a profound understanding of MAP’s business and how our different ads products, media channels, and sales investments align with our broader strategy
• Develop various input and output metrics we will use to evaluate our progress
• Leverage strong data science skills to develop reporting deliverables, create ad hoc analyses on business results and sales performance, provide insights used to help business planning, develop and deploy ML models and drive process improvement
• Build quick automation tools to drive quick data synthesis
• Offer insights into metric movements and trends and providing data-driven insights
• Support decision-making by specifying requirements for developing analytic capabilities, platforms, pipelines, and metrics
• Lead and conduct ad hoc analyses, ranging from creating new metrics to identifying the root causes of revenue fluctuations
• Operate independently as the go-to analytics expert for day-to-day business needs

Staff Data Scientist – Performance Measurements and Insights

• Lead the implementation of privacy compliance programs, ensuring alignment with global and domestic privacy laws (GDPR, CCPA, etc.).
• Monitor, analyze, and interpret privacy regulations, identifying compliance gaps and driving corrective action.
• Develop and update privacy policies and standard operating procedures in partnership with leadership.
• Conduct privacy impact assessments and regulatory trend analysis to support business strategy and forecasting.
• Collect, analyze, and report compliance data, providing actionable insights to senior management.
• Build strong relationships with stakeholders and coordinate cross-functional privacy initiatives.
• Supervise, mentor, and develop a high-performing team, promoting accountability and continuous learning.

Manager, Specialty Compliance and Ethics – Tech & Data

• Guide and mentor, a team of engineers, conducting code reviews and leading design discussions to ensure engineering best practices
• Act as a technical authority, providing direction and expertise to the team
• Drive the adoption of coding standards, design patterns, and development best practices
• Lead the creation and maintenance of our technical architecture, aligning it with business goals and scalability requirements
• Architect complex software systems, ensuring performance, security, and scalability needs are met
• Consistently produce high-quality software with a focus on unit testing, functional testing, regular code reviews, and continuous integration
• Uphold high standards in quality and operational excellence
• Develop comprehensive technical documentation and presentations to clearly communicate architectural decisions and design options
• Ensure documentation aligns with project scopes, milestones, and deliverables
• Promote and enforce technical standards across the organization to achieve concrete outcomes and drive engineering excellence
• Foster a culture of learning and innovation through hands-on technical guidance and mentorship
• Lead the discovery phase of major projects, ensuring the design aligns with business goals and technical requirements
• Collaborate with cross-functional teams to define project scopes and milestones
• Collaborate closely with Product Management, UX/UI, Quality Assurance, and DevOps teams
• Communicate complex technical concepts effectively to both technical and non-technical stakeholders
• Stay at the forefront of technological advancements, conducting research to identify emerging tools and methodologies

Distinguished Software Engineer, Web

• Key leader for all things information security within a core technology team.
• Establish and embed security into engineering using automation and scalable security practices throughout the software development lifecycle.
• Partner and collaborate across other operations leaders in educating and initiating actions to mature the security posture for the teams.
• Determine opportunities for technology teams and define roadmap for maturity journey.
• Inform senior business leaders and partners about long-term risk implications of product options.
• Monitor open security risk issues to ensure strategic planning identifies and avoids such risks.