About The Position

Fiserv is seeking a Software Development Engineering - Sr Professional I to design, develop, and maintain high-quality software applications. The role supports business goals and client needs and contributes to the Merchants Onboarding & Client Implementations platforms. The position works with cross-functional teams to turn requirements into technical solutions, maintain and improve software, and support scalable, resilient, high-performance systems.

Requirements

  • At least 4 years of experience in Java software development.
  • At least 4 years of experience with Spring frameworks.
  • At least 4 years of experience with Kubernetes and AWS technologies.
  • At least 2 years of experience with Kafka and Kafka Streams.
  • At least 2 years of experience with SQL databases.
  • At least 2 years of experience with CI/CD pipelines and DevOps practices.
  • At least 2 years of experience with Agile methodologies.
  • Bachelor's degree in computer science, Information Technology, Information Systems, or a related field (or foreign equivalent), or equivalent work experience.
  • Valid and unrestricted U.S. work authorization; candidates requiring sponsorship now or in the future are not considered.

Nice To Haves

  • Experience in the financial services industry.

Responsibilities

  • Design, develop, and implement software applications to support business goals.
  • Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
  • Code, test, and debug applications to ensure optimal performance.
  • Maintain and improve existing codebases and support peer review processes.
  • Mentor junior developers and provide technical guidance.
  • Design and build event-driven applications using Kafka and Kafka Streams.
  • Develop microservices and enterprise applications using the Spring Framework.
  • Work with distributed databases to support scalable, resilient, high-performance systems.
  • Contribute to AI-driven development practices, including use of AI-assisted engineering tools for coding, testing, and productivity.
  • Build, deploy, and manage containerized applications using Helm and Kubernetes.
  • Develop and support cloud-native applications and services in AWS.
  • Support CI/CD pipelines and DevOps practices across the software development lifecycle.
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