Walmart — гипермаркеттер, жеңілдікпен жұмыс істейтін әмбебап дүкендер, азық-түлік дүкендері және онлайн маркетплейс арқылы тұтынушыларға қызмет көрсететін жаһандық бөлшек сауда және электрондық коммерция компаниясы. Оның кең тауар ұсынысы ірі физикалық дүкендер желісімен, тұтынушыға тікелей сату операцияларымен және компанияның барлық бағыттары бойынша тауарлардың қозғалысын қамтамасыз ететін логистика мен жеткізу тізбегі жүйелерімен қолдау табады.
Walmart Distinguished Software Engineer, WFS-ICC Atlas Platform
Lead architecture and production engineering for Walmart Fulfillment Services platforms serving millions of sellers. The role focuses on distributed systems and AI-enabled platform capabilities and is based onsite in Bangalore.
Сипаттама
- Build services that help millions of sellers join and do business through Walmart Fulfillment Services.
- Set technical direction and deliver critical shared services for Seller Center interfaces and APIs.
- Lead end-to-end design across APIs, user interfaces, data models, distributed systems, and shared concerns.
- Establish reference architectures, design patterns, implementation guidance, and engineering standards.
- Assess technologies, frameworks, and cloud-native approaches for Walmart’s operating scale.
- Write and review RFCs and architecture decision records.
- Develop, test, deploy, and maintain production-ready software.
- Address complex performance, reliability, and scaling challenges.
- Perform detailed code reviews and strengthen engineering quality across the team.
- Guide the full development lifecycle from design and implementation through testing, release, and observability.
- Investigate P0/P1 incidents, lead root cause analysis, and define lasting corrective measures.
- Build resilient systems, set non-functional requirements, add observability instrumentation, and create operational runbooks.
- Apply AI to schema design, code generation and review, testing, documentation, incident analysis, and API design.
- Create AI-native features such as API health monitoring, seller onboarding support, smart alerts, and anomaly detection.
- Assess and incorporate AI and machine learning capabilities into services.
- Promote AI-assisted engineering with demonstrations, pairing, written guidance, and community contributions.
- Expand technical expertise across the organization through talks, design reviews, RFCs, and practical pairing.
- Connect platform and product priorities by turning technical constraints and product goals into effective engineering strategies.
Талаптар
- Bachelor’s degree in computer science, computer engineering, computer information systems, software engineering, or a related field plus 6 years of software engineering or related experience; alternatively, 8 years of such experience.
- Preferred: Master’s degree in a related field and 4 years of software engineering or related experience.
- Expertise in distributed systems, API design, and platform engineering.
- Proficiency with GitHub Copilot, Wibey, and LLM-based tools.
- Experience with cloud microservices, seller portals, and AI-driven analytics.
- Ability to design resilient, observable, scalable systems and establish non-functional requirements.
- Ability to lead P0/P1 incident investigations, root cause analysis, and permanent corrective actions.
- Knowledge of AI/ML capabilities and AI-assisted engineering workflows.
- Digital accessibility knowledge, including WCAG 2.2 AA and assistive technologies, is preferred.
- Ability to work onsite from the Bangalore office.
Артықшылықтар
- Performance-based incentive awards.
- Maternity and parental leave.
- Paid time off.
- Health benefits.
- Compensation package.
- Flexibility to manage personal commitments.