Distinguished, Software Engineer

About the Role

Key Responsibilities

• Lead Security Risk Management Platform Architecture & Delivery by architecting cloud-native, scalable platforms and backend systems using technologies such as Java, Scala, Kafka, and Spring Boot.
• Engineer AI-Ready Systems by designing and evolving platforms that enable integration of agentic systems, LLMs, and retrieval-augmented generation (RAG) pipelines.
• Build Developer Productivity Tools by implementing reusable frameworks, APIs, and services to accelerate development, enforce engineering best practices, and abstract AI/ML complexity.
• Drive Innovation in Agentic AI by designing and deploying AI-enhanced experiences and intelligent automation agents using frameworks like LangChain, LangGraph, vector databases (e.g., FAISS/Milvus), and transformer-based models (e.g., GPT, BERT).
• Mentor & Inspire by providing technical guidance and mentorship to engineers across the organization; foster a culture of innovation, learning, and accountability.
• Ensure Operational Excellence by leading performance optimization, production readiness, CI/CD, observability (Grafana, ELK, etc.), and secure deployment on cloud platforms (Azure, GCP, AWS).
• Cross-Functional Collaboration by partnering with Product, UX, MLOps, and Data Science to shape roadmap decisions, influence technical direction, and deliver enterprise-wide capabilities.

Requirements

• 15+ years of software engineering experience, including platform and AI/ML system design.
• Proven leadership delivering large-scale distributed systems and enterprise platforms.
• Strong hands-on expertise in Java, Scala, Spring Boot.
• Experience with React, React Native for full-stack collaboration.
• Knowledge of Kafka, message queues, and event-driven architecture.
• Experience with cloud platforms such as Azure, GCP, or AWS.
• Familiarity with CI/CD, observability, containerization (Docker), and orchestration (Kubernetes).
• Proficiency with AI/ML tools including LLMs, vector search, agent-based architectures, and open-source AI frameworks.
• Data engineering skills such as schema design, pipelines, batch/stream processing.
• Deep understanding of system design, API governance, and security.
• Ability to influence technical vision, platform standards, and engineering best practices.
• Strong communication and leadership presence to align across engineering and business teams.

Nice to Have

• Background in creating inclusive digital experiences.
• Knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards.
• Experience with assistive technologies and integrating digital accessibility.
• Knowledge of accessibility best practices and supporting an inclusive culture.

Qualifications

• Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 6 years' experience in software engineering or related area.
• Option 2: 8 years' experience in software engineering or related area.
• Preferred: Master's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years' experience in software engineering or related area.

Benefits & Perks

• Incentive awards for performance.
• 401(k) match, stock purchase plan.
• Paid maternity and parental leave.
• Paid time off including PTO, sick leave, holidays, and other leave options.
• Multiple health plans.
• Health benefits including medical, vision, and dental coverage.
• Financial benefits such as 401(k), stock purchase, and company-paid life insurance.
• Walmart-paid education benefit program (Live Better U).
• Additional perks like company discounts, disability coverage, military leave pay, adoption and surrogacy expense reimbursement, and more.