Staff Software Engineer: Cloud-Native & AI Platform Lead

Socket.dev; Sunnyvale (CA); On-site; USD 143,000 - 286,000; Full time

Benefits offered by this job

401(k) match

Stock purchase plan

Health benefits

Job summary

Walmart Global Tech is seeking a Staff Software Engineer to lead the development of scalable platform capabilities, including infrastructure, tooling, and ML frameworks. This onsite role in Sunnyvale, CA requires driving the full software lifecycle and applying cloud-native design principles.

You will mentor engineers, collaborate across functions, and push data-driven improvements to elevate engineering productivity.

Qualifications

• Bachelor's degree in computer science, computer engineering, or related field.
• 4+ years of software engineering experience in relevant domains.
• Experience with cloud-native architectures and scalable systems.
• Proven ability to lead technical work and mentor teammates.

Responsibilities

• Deliver platform capabilities including infrastructure, tooling, and ML frameworks.
• Drive full software development lifecycle: coding, testing, deployment, monitoring.
• Apply cloud-native principles to build scalable, resilient systems.
• Lead design reviews and ensure architectural best practices.
• Mentor engineers and promote engineering excellence across teams.
• Collaborate with stakeholders and use data-driven practices to improve outcomes.

Skills

Cloud-native

Microservices

Containers

API design

Python

JavaScript

C++

Mentorship

Collaboration

Education

Bachelor's degree in Computer Science or related

Tools

CI/CD pipelines

Observability tools

Cloud platforms (AWS/GCP/Azure)

Job description

Walmart Global Tech is seeking a Staff Software Engineer to lead the development of scalable platform capabilities, including infrastructure, tooling, and ML frameworks. This onsite role in Sunnyvale, CA requires driving the full software lifecycle and applying cloud-native design principles.

You will mentor engineers, collaborate across functions, and push data-driven improvements to elevate engineering productivity.