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2 Days ago

Software Engineer - Career

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Information Technology
Full-Time
Equifax

Overview

What you’ll do?

  • Design, develop, and operate high scale applications across the full engineering stack.
  • Design, develop, test, deploy, maintain, and improve software.
  • Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.)
  • Work across teams to integrate our systems with existing internal systems, Data Fabric, CSA Toolset.
  • Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality. Participate in a tight-knit, globally distributed engineering team.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on network, or service operations and quality.
  • Research, create, and develop software applications to extend and improve on Equifax Solutions. Manage sole project priorities, deadlines, and deliverables.
  • Collaborate on scalability issues involving access to data and information. Actively participate in Sprint planning, Sprint Retrospectives, and other team activity

What experience you need?

  • Bachelor's degree or equivalent experience
  • 5+ years of software engineering experience
  • 5+ years experience writing, debugging, and troubleshooting code in mainstream Java, SpringBoot, TypeScript/JavaScript, HTML, CSS
  • 5+ years experience with Cloud technology: GCP, AWS, or Azure
  • 5+ years experience designing and developing cloud-native solutions
  • 5+ years experience designing and developing microservices using Java, SpringBoot, GCP SDKs, GKE/Kubernetes
  • 5+ years experience deploying and releasing software using Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs

What could set you apart?

  • Knowledge or experience with Apache Beam for stream and batch data processing.
  • Familiarity with big data tools and technologies like Apache Kafka, Hadoop, or Spark.
  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Exposure to data visualization tools or platforms.
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