Equifax is seeking creative, high-energy and driven Senior Software Engineers with hands-on development skills to work on a variety of meaningful projects. Our software engineering positions provide you the opportunity to join a team of talented engineers working with leading-edge technology. You are ideal for this position if you are a forward-thinking, committed, and enthusiastic software engineer who is passionate about technology.

This role is on the Global Model Execution (GME) team, which is responsible for deployment and delivery of Scores and Attributes built across Equifax Enterprise by Business Units and Data Analytics groups.

Equifax has a hybrid work schedule that allows for 2 days of remote work (Monday and Friday), with 3 days onsite (Tuesday, Wednesday, Thursday) each and every week.

This resource will be required to work from the Equifax office location in Alpharetta, GA.

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, understanding of infrastructure-as-code concepts, Helm Charts, and Terraform constructs.

What could set you apart Cloud certification is strongly preferred. Model deployment in Vertex AI and Automation using Vertex Pipelines. Create Vertex custom pipelines using Python. Batch and online model serving. Testing and governance considerations. Should have good experience in building and maintaining the infrastructure for data engineering pipelines on Google Cloud Platform and work closely with data engineering and software development teams to ensure smooth and efficient deployment and operation of data processing and analytics systems. Strong understanding of Google Cloud Platform services and their applications in data engineering and analytics, including Big Query, Vertex AI. Experience designing and developing Big Data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others. Atlassian tooling (e.g. JIRA, Confluence, and Github). Developing with modern JDK (v1.7 ). Automated Testing: JUnit, Selenium, LoadRunner, SoapUI. Experience with backend technologies such as JAVA/J2EE, SpringBoot, SOA and Microservices. Source code control management systems (e.g. SVN/Git, Github) and build tools like Maven and Gradle. Agile environments (e.g. Scrum, XP). Self-starter that identifies/responds to priority shifts with minimal supervision.

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Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity