Java Software Engineer
2 weeks ago
Location:
Bentonville, AR, required to relocate and be on-site
REQUIRED SKILLS AND EXPERIENCE
- 5+ years of professional software engineering experience, with a strong focus on backend development.
- Proficiency in Java, Spring Boot, and RESTful API design.
- Deep understanding of distributed systems, data processing frameworks, and big data platforms such as Apache Spark and DataProc.
- Hands-on experience with cloud platforms—ideally both Google Cloud and Azure.
- Expertise in streaming technologies, particularly Apache Kafka.
- Solid grasp of CI/CD workflows, source control (Git), and infrastructure automation tools. Experience with automated testing, TDD/BDD, and continuous delivery in production systems. Strong problem-solving skills, with the ability to tackle complex, ambiguous technical challenges. Excellent communication skills and ability to collaborate across teams and functions.
- A passion for engineering excellence and a desire to deliver reliable and impactful solutions at scale.
JOB DESCRIPTION
The #1 retailer in the world's Payroll Tech organization is seeking a seasoned Senior Software Engineer to help shape the future of payroll systems for the world's largest private workforce. You will play a pivotal role in building resilient, scalable backend services and data pipelines that ensure 2.2 million associates are paid precisely and accurately. If you're passionate about solving complex backend and data engineering problems using modern technologies and cloud platforms, this is the role for you.
Responsibilities: Design and implement scalable, resilient backend systems using Java, Spring Boot, and Apache Spark. Build and optimize data processing pipelines on Google Cloud Platform (GCP)and Azure, leveraging tools like DataProc, BigQuery, and Data Factory. Architect and develop event-driven systems using Apache Kafka to support real-time data flows. Collaborate with product and business teams to translate functional requirements into technical solutions. Drive best practices in software engineering, including CI/CD pipelines, automated testing (unit and integration), and Agile (Scrum or Kanban) methodologies. Provide technical leadership and mentorship to junior and mid-level engineers. Ensure system reliability, observability, and performance at scale in a 24x7 environment. Contribute to architecture reviews, design documents, and technical strategy within the broader organization.
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