Overview
Distinguished Engineer on the Marketplace team within Growth Tech, owning the technical vision and execution for mission-critical, cross-cutting services that enable sellers to leverage Walmart Fulfilment Services through Seller Center UI and APIs.
What you'll do
- Lead end-to-end technical design for complex initiatives, covering API contracts, UI interfaces, data models, distributed system topologies and cross-cutting concerns.
- Drive platform standardization by defining and documenting reference architectures, design patterns and implementation guardrails that teams adopt.
- Evaluate and select technologies, frameworks and cloud-native patterns with a clear understanding of trade-offs at Walmart's operational scale.
- Author and review RFCs and architecture decision records (ADRs) that become the technical canon for the platform.
- Write production-grade code, test and deploy it to production, and solve complex problems considering performance, reliability and scalability.
- Prototype new solutions rapidly using AI-augmented development workflows and drive them to production quality.
- Conduct deep-dive code reviews that raise the technical bar of the team.
- Own the full software development lifecycle for your initiatives, including design, development, testing, deployment and observability.
- Lead technical investigations for P0/P1 incidents affecting platform services, own root cause analysis and define permanent fixes.
- Challenge technical assumptions early in the design process and break down underspecified problems into structured technical approaches.
- Design for resilience, define and own the platform's non-functional requirements, and instrument systems for deep observability.
- Build runbooks and operational playbooks that enable the broader team to operate the services confidently.
- Use AI tooling such as GitHub Copilot, Wibey and LLM-based tools daily to accelerate design, code generation and review, test coverage, documentation and incident analysis.
- Architect and build AI-native capabilities such as intelligent API health monitoring, AI-assisted seller onboarding flows, smart alerting and anomaly detection.
- Model AI-augmented engineering practices for the team through live demos, pairing sessions and written guides.
What you'll need
- Bachelor's degree in computer science, computer engineering, computer information systems, software engineering or a related area, and 6 years' experience in software engineering or a related area.
- OR 8 years' experience in software engineering or a related area.
Nice to have
- Master's degree in computer science, computer engineering, computer information systems, software engineering or a related area, and 4 years' experience in software engineering or a related area.
- Background in creating inclusive digital experiences, with knowledge of implementing WCAG 2.2 AA standards, assistive technologies and digital accessibility.
Details
- Based in the Bangalore office, Block-1, Prestige Tech Pacific Park, Sy No. 38/1, Outer Ring Rd, Kadubeesanahalli, India, for daily work.
Read the full description and apply on the company’s own careers page.