below marketmost similar roles pay hereabove market
This role pays more than
80%
of similar roles. Most pay
$173,137–$214,500
— the blue band above.
At the midpoint, this role pays about
$214k
versus about
$194k
for comparable roles.
Based on 240 similar postings.
Employer
About Walmart
Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail
Walmart currently has
719 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 592 roles with salary data.
As a (USA) Staff, Software Engineer on the Marketplace Engineering team, you will lead the design, development, and deployment of scalable platform capabilities. You will build backend microservices, real-time event-driven systems, and large-scale batch and streaming data pipelines. Your daily work involves architecting for scalability, resiliency, and observability while mentoring engineers and defining engineering best practices for distributed systems. You will utilize a technical stack including Java, Spring Boot, Apache Kafka, and Apache Spark, alongside languages like JavaScript, Python, and C++. The role focuses on solving complex marketplace problems, including managing the seller lifecycle, monitoring customer interactions, and developing risk features to detect and mitigate marketplace risks within a cloud-native architecture. You will ensure seamless integration and continuous improvement of seller and customer experiences.
What does a Software Engineer earn in California?
Median $214500 from 1206 postings across 79 companies.
Design and build scalable backend microservices using Java and Spring Boot.
Architect and implement real-time event-driven systems using Apache Kafka.
Develop and optimize large-scale batch and streaming data pipelines using Apache Spark.
Drive architecture decisions regarding scalability, resiliency, observability, and cost efficiency.
Lead system design reviews and define engineering best practices for distributed systems.
Optimize system performance through partitioning, caching, async processing, and concurrency tuning.
Mentor engineers and act as a technical multiplier across multiple engineering teams.
Participate in production incident reviews and drive long-term platform reliability improvements.
What we're looking for
Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.
Option 2: 6 years’ experience in software engineering or related area.
Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area (preferred).
Proven expertise in cloud-native architecture, including microservices, containers, and automation.
Proficiency in platform engineering, infrastructure tooling, and AI/ML integration using JavaScript, Python, Java, and C++.
Experience building backend microservices with Java and Spring Boot and real-time event-driven systems using Apache Kafka.
Ability to develop and optimize large-scale batch and streaming data pipelines using Apache Spark.
Knowledge of implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards and assistive technologies (preferred).
Spring Boot
Python
Java
JavaScript
C++
Cloud-native Architecture
Microservices
Containers
CI/CD
DevOps
AI/ML
System Design
API Design
Observability
Software Development Lifecycle
WCAG) 2.2 AA
Python
Java
C++
JavaScript
Cloud-native Architecture
Microservices
Containers
CI/CD
AI/ML
Data Pipelines
API Design
Observability
Software Design Patterns
Distributed Systems
System Design
Java
Spring Boot
Apache Kafka
Apache Spark
Microservices
Cloud-native Architecture
CI/CD
Distributed Systems
Containers
API Design
Observability
Data Pipelines
WCAG) 2.2 AA