Java Backend

job summary: Core Tech Stack

Walmart is heavily invested in the Spring ecosystem and cloud-native architectures.

Primary Language: Java 17+ (Expertise in multithreading and JVM internals).

Frameworks: Spring Boot, Spring Cloud, Hibernate.

Messaging/Streaming: Apache Kafka (high-volume event processing).

Databases: * NoSQL: Cassandra, MongoDB, or Cosmos DB.

Relational: PostgreSQL or MySQL.

Cloud & Infrastructure: Microsoft Azure or Google Cloud Platform (GCP), Docker, Kubernetes.

CI/CD: Jenkins, GitHub Actions, and Spinnaker.

Emerging Tech: Integration of Generative AI and Agentic AI into backend services (using internal APIs/LLMs).

Key Responsibilities

Distributed Systems Design: Architecting and implementing scalable microservices that maintain low latency during peak traffic (like Black Friday/Cyber Monday).

API Development: Designing and maintaining RESTful and occasionally GraphQL APIs that serve web, mobile, and IoT platforms.

Data Modeling: Designing schemas for high-availability databases that can handle massive throughput with eventual consistency.

Operational Excellence: Owning the full lifecycle-from writing unit tests (JUnit/Mockito) to managing deployments and monitoring production health (Splunk, New Relic, or Prometheus).

Technical Leadership: Conducting code reviews, mentoring junior engineers, and driving "Shift-Left" testing practices.

Requirements & Qualifications

Education: Bachelor's or Master's degree in Computer Science or a related field.

Experience: * Software Engineer: 3-5 years.

Senior/Staff Engineer: 7-10+ years.

Technical Depth: Strong grasp of Data Structures, Algorithms, and Design Patterns (Singleton, Factory, Circuit Breaker, etc.).

AI Proficiency: Experience with AI-powered tools (e.g., GitHub Copilot) or building AI-enabled backend agents is increasingly listed as a preferred qualification.

location: Sunnyvale, California job type: Contract salary: $60 - 65 per hour work hours: 8am to 5pm education: Bachelors

responsibilities: Core Tech Stack

Walmart is heavily invested in the Spring ecosystem and cloud-native architectures.

Primary Language: Java 17+ (Expertise in multithreading and JVM internals).

Frameworks: Spring Boot, Spring Cloud, Hibernate.

Messaging/Streaming: Apache Kafka (high-volume event processing).

Databases: * NoSQL: Cassandra, MongoDB, or Cosmos DB.

Relational: PostgreSQL or MySQL.

Cloud & Infrastructure: Microsoft Azure or Google Cloud Platform (GCP), Docker, Kubernetes.

CI/CD: Jenkins, GitHub Actions, and Spinnaker.

Emerging Tech: Integration of Generative AI and Agentic AI into backend services (using internal APIs/LLMs).

Key Responsibilities

Distributed Systems Design: Architecting and implementing scalable microservices that maintain low latency during peak traffic (like Black Friday/Cyber Monday).

API Development: Designing and maintaining RESTful and occasionally GraphQL APIs that serve web, mobile, and IoT platforms.

Data Modeling: Designing schemas for high-availability databases that can handle massive throughput with eventual consistency.

Operational Excellence: Owning the full lifecycle-from writing unit tests (JUnit/Mockito) to managing deployments and monitoring production health (Splunk, New Relic, or Prometheus).

Technical Leadership: Conducting code reviews, mentoring junior engineers, and driving "Shift-Left" testing practices.

Requirements & Qualifications

Education: Bachelor's or Master's degree in Computer Science or a related field.

Experience: * Software Engineer: 3-5 years.

Senior/Staff Engineer: 7-10+ years.

Technical Depth: Strong grasp of Data Structures, Algorithms, and Design Patterns (Singleton, Factory, Circuit Breaker, etc.).

AI Proficiency: Experience with AI-powered tools (e.g., GitHub Copilot) or building AI-enabled backend agents is increasingly listed as a preferred qualification.

qualifications: Core Tech Stack

Walmart is heavily invested in the Spring ecosystem and cloud-native architectures.

Primary Language: Java 17+ (Expertise in multithreading and JVM internals).

Frameworks: Spring Boot, Spring Cloud, Hibernate.

Messaging/Streaming: Apache Kafka (high-volume event processing).

Databases: * NoSQL: Cassandra, MongoDB, or Cosmos DB.

Relational: PostgreSQL or MySQL.

Cloud & Infrastructure: Microsoft Azure or Google Cloud Platform (GCP), Docker, Kubernetes.

CI/CD: Jenkins, GitHub Actions, and Spinnaker.

Emerging Tech: Integration of Generative AI and Agentic AI into backend services (using internal APIs/LLMs).

Key Responsibilities

Distributed Systems Design: Architecting and implementing scalable microservices that maintain low latency during peak traffic (like Black Friday/Cyber Monday).

API Development: Designing and maintaining RESTful and occasionally GraphQL APIs that serve web, mobile, and IoT platforms.

Data Modeling: Designing schemas for high-availability databases that can handle massive throughput with eventual consistency.

Operational Excellence: Owning the full lifecycle-from writing unit tests (JUnit/Mockito) to managing deployments and monitoring production health (Splunk, New Relic, or Prometheus).

Technical Leadership: Conducting code reviews, mentoring junior engineers, and driving "Shift-Left" testing practices.

Requirements & Qualifications

Education: Bachelor's or Master's degree in Computer Science or a related field.

Experience: * Software Engineer: 3-5 years.

Senior/Staff Engineer: 7-10+ years.

Technical Depth: Strong grasp of Data Structures, Algorithms, and Design Patterns (Singleton, Factory, Circuit Breaker, etc.).

AI Proficiency: Experience with AI-powered tools (e.g., GitHub Copilot) or building AI-enabled backend agents is increasingly listed as a preferred qualification.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.

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Core Tech Stack

Walmart is heavily invested in the Spring ecosystem and cloud-native architectures.

Primary Language: Java 17+ (Expertise in multithreading and JVM internals).

Frameworks: Spring Boot, Spring Cloud, Hibernate.

Messaging/Streaming: Apache Kafka (high-volume event processing).

Databases: * NoSQL: Cassandra, MongoDB, or Cosmos DB.

Relational: PostgreSQL or MySQL.

Cloud & Infrastructure: Microsoft Azure or Google Cloud Platform (GCP), Docker, Kubernetes.

CI/CD: Jenkins, GitHub Actions, and Spinnaker.

Emerging Tech: Integration of Generative AI and Agentic AI into backend services (using internal APIs/LLMs).

Key Responsibilities

Distributed Systems Design: Architecting and implementing scalable microservices that maintain low latency during peak traffic (like Black Friday/Cyber Monday).

API Development: Designing and maintaining RESTful and occasionally GraphQL APIs that serve web, mobile, and IoT platforms.

Data Modeling: Designing schemas for high-availability databases that can handle massive throughput with eventual consistency.

Operational Excellence: Owning the full lifecycle-from writing unit tests (JUnit/Mockito) to managing deployments and monitoring production health (Splunk, New Relic, or Prometheus).

Technical Leadership: Conducting code reviews, mentoring junior engineers, and driving "Shift-Left" testing practices.

Requirements & Qualifications

Education: Bachelor's or Master's degree in Computer Science or a related field.

Experience: * Software Engineer: 3-5 years.

Senior/Staff Engineer: 7-10+ years.

Technical Depth: Strong grasp of Data Structures, Algorithms, and Design Patterns (Singleton, Factory, Circuit Breaker, etc.).

AI Proficiency: Experience with AI-powered tools (e.g., GitHub Copilot) or building AI-enabled backend agents is increasingly listed as a preferred qualification.

Core Tech Stack Walmart is heavily invested in the Spring ecosystem and cloud-native architectures. Primary Language: Java 17+ (Expertise in multithreading and JVM internals). Frameworks: Spring Boot, Spring Cloud, Hibernate. Messaging/Streaming: Apache Kafka (high-volume event processing). Databases: * NoSQL: Cassandra, MongoDB, or Cosmos DB. Relational: PostgreSQL or MySQL. Cloud & Infrastructure: Microsoft Azure or Google Cloud Platform (GCP), Docker, Kubernetes. CI/CD: Jenkins, GitHub Actions, and Spinnaker. Emerging Tech: Integration of Generative AI and Agentic AI into backend services (using internal APIs/LLMs). ## Key Responsibilities Distributed Systems Design: Architecting and implementing scalable microservices that maintain low latency during peak traffic (like Black Friday/Cyber Monday). API Development: Designing and maintaining RESTful and occasionally GraphQL APIs that serve web, mobile, and IoT platforms. Data Modeling: Designing schemas for high-availability databases that can handle massive throughput with eventual consistency. Operational Excellence: Owning the full lifecycle-from writing unit tests (JUnit/Mockito) to managing deployments and monitoring production health (Splunk, New Relic, or Prometheus). Technical Leadership: Conducting code reviews, mentoring junior engineers, and driving "Shift-Left" testing practices. ## Requirements & Qualifications Education: Bachelor's or Master's degree in Computer Science or a related field. Experience: * Software Engineer: 3-5 years. Senior/Staff Engineer: 7-10+ years. Technical Depth: Strong grasp of Data Structures, Algorithms, and Design Patterns (Singleton, Factory, Circuit Breaker, etc.). AI Proficiency: Experience with AI-powered tools (e.g., GitHub Copilot) or building AI-enabled backend agents is increasingly listed as a preferred qualification.