Senior Platform Engineer — AI & Cloud-Native Dev

Walmart Global Tech; Sunnyvale (CA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

401(k) match

Stock purchase plan

Paid maternity and parental leave

PTO

Job summary

Walmart Global Tech in Sunnyvale, CA seeks an experienced software platform engineer to deliver scalable cloud-native systems and ML pipelines. You will lead SDLC activities, mentor engineers, design resilient architectures, and collaborate across teams to optimize development processes.

The role emphasizes API design, platform tooling, DevOps practices, and building real-time and offline ML components with strong security and scalability.

Qualifications

• Experience with cloud-native architecture and scalable systems.
• Proven ability in SDLC management, including coding, testing, CI/CD, and maintenance.
• Proficiency in API design and applying software design patterns.
• Experience with platform engineering, infrastructure tooling, and DevOps.
• Track record building real-time and offline ML pipelines with strong scalability and security.

Responsibilities

• Deliver platform capabilities including infrastructure, tooling, and ML frameworks aligned with roadmap milestones.
• Apply cloud-native architecture principles for scalable, resilient systems.
• Lead full software development lifecycle activities from coding to monitoring.
• Mentor engineers and promote engineering excellence through documentation and knowledge sharing.
• Collaborate across teams to define technical requirements and optimize development processes.

Skills

Cloud-native architecture

Microservices

Containers

CI/CD deployment

API design

DevOps practices

ML pipelines

Mentoring engineers

Education

Bachelor's degree in CS/Engineering or related

6 years of software engineering experience

Job description

Walmart Global Tech in Sunnyvale, CA seeks an experienced software platform engineer to deliver scalable cloud-native systems and ML pipelines. You will lead SDLC activities, mentor engineers, design resilient architectures, and collaborate across teams to optimize development processes.

The role emphasizes API design, platform tooling, DevOps practices, and building real-time and offline ML components with strong security and scalability.