Senior fullstack engineering role with Walmart, delivering scalable, secure software across the full SDLC. This is a full-time onsite position in Bentonville, AR (primary location listed) and supports work that spans services and APIs plus AI/ML components for the Item Read Orchestrator team.
What you’ll get
- Health benefits: medical, vision, and dental coverage.
- Financial benefits: 401(k), stock purchase, and company-paid life insurance.
- Paid time off: PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
- Additional coverage and support: short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
- Education benefit: Live Better U, a Walmart-paid program for full-time and part-time associates in Walmart and Sam’s Club facilities.
Responsibilities
- Own scoped feature and model delivery in partnership with engineering teams, aligning with platform and system objectives.
- Write clean, efficient, and dependable code across multiple languages, driving the full SDLC including CI/CD and automated testing.
- Integrate AI and ML components to improve software intelligence and development innovation.
- Participate in solution design, evaluating trade-offs to support scalable, secure, and maintainable systems.
- Perform code reviews, debugging, and defect management to maintain high-quality deliverables.
- Collaborate cross-functionally to convert business needs into technical requirements and measurable outcomes.
- Monitor application performance and support continuous improvement through proactive testing and observability.
Technologies you may work with
- Java, Rust
- Kafka, Cassandra
- Kubernetes
- Resilience4J
Requirements
- Proven expertise in object-oriented programming and documentation-based coding practices.
- Strong background delivering scoped features and managing the full SDLC, including CI/CD and automated testing.
- Ability in debugging, code review, and continuous development methodologies.
- Capability to design scalable, secure, and maintainable software aligned with platform and business objectives.
- Experience integrating AI/ML components and using generative AI tools to enhance development efficiency.
- Technical judgment, sound decision-making, and adaptability to evolving technologies.
- Effective collaboration with cross-functional teams and a commitment to engineering excellence.
Minimum qualifications
- Option 1: Bachelor’s degree in computer science, computer engineering, computer information systems, software engineering, or a related area, plus 3 years of experience in software engineering or related area.
- Option 2: 5 years of experience in software engineering or related area.
Preferred qualifications
- Master’s degree in a related field and 1 year of software engineering experience.
- Knowledge of implementing WCAG 2.2 AA accessibility standards, assistive technologies, and accessible digital experiences.
- Familiarity with accessibility best practices and experience building inclusive products and services aligned with Walmart’s accessibility standards and guidelines.
Additional details
Workplace policy: Walmart and its subsidiaries maintain a drug-free workplace and have a no tolerance policy regarding illegal drugs and alcohol on the job.
Immigration sponsorship: not available. Applicants must be authorized to work for any employer in the United States without current or future visa sponsorship.
Work arrangement: full-time onsite. Remote and hybrid options are not available.
Compensation: annual salary range $90,000.00 to $180,000.00. Additional compensation may include annual or quarterly performance bonuses, and certain positions may also include stock.
About the team
The Item Read Orchestrator team partners with US stores and eCommerce to improve customer service by enabling team members, stores, and merchants through technological innovation. The team focuses on customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. The role supports building high-throughput, low-latency systems that scale to handle millions of queries per second across billions of items.
Primary location: 2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of America.
