<p>Equifax is seeking creative, high-energy and driven 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.</p> <p>To adhere to our corporate location policies, this resource will be required to be local to the surrounding St.Louis, MO. You are required to adhere to our Return To Office (RTO) / weekly onsite requirements (Tuesday, Wednesday, and Thursday).</p> <p>This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.</p> <p>What you will do</p> <ul> <li> <p>Deep understanding of cloud native, distributed micro service based architectures. Build strong relationships with both internal and external stakeholders including product, business and sales partners. Demonstrate excellent communication skills with the ability to both simplify complex problems and also dive deeper if needed.</p> </li><li> <p>Collaborate with the architects, SRE leads and other technical leadership on strategic technical direction, guidelines, and best practices</p> </li><li> <p>Manage teams with cross functional skills that include software, quality, reliability engineers, project managers and scrum masters. Mentor, coach and develop junior and senior software, quality and reliability engineers</p> </li><li> <p>Ensure compliance with EFX secure software development guidelines and best practices and responsible for meeting and maintaining QE, DevSec, and FinOps KPIs.</p> </li><li> <p>Define, maintain and report SLA, SLO, SLIs meeting EFX engineering standards in partnership with the product, engineering and architecture teams</p> </li><li> <p>Drive technical documentation including support, end user documentation and run books. Lead Sprint planning, Sprint Retrospectives, and other team activity.</p> </li><li> <p>Implement architecture decision making associated with Product features/stories, refactoring work, and EOSL decisions</p> </li><li> <p>Create and deliver technical presentations to internal and external technical and non-technical stakeholders communicating with clarity and precision, and present complex information in a concise format that is audience appropriate</p> </li><li> <p>Perform R&D, prototyping/PoC of cloud-native solutions</p> </li><li> <p>Design and develop cloud-native solutions. Design and development of big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others. Design and development of micro services using Java, Springboot, GCP SDKs, GKE/Kubeneties</p> </li><li> <p>Deploy and release software using Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs</p> </li></ul> <p>What experience you need</p> <ul> <li> <p>Bachelor's degree or equivalent experience</p> </li><li> <p>7+ years of software engineering experience</p> </li><li> <p>7+ years experience writing, debugging, and troubleshooting code in mainstream Java, SpringBoot, TypeScript/JavaScript, HTML, CSS</p> </li><li> <p>7+ years experience with Cloud technology: GCP, AWS, or Azure</p> </li><li> <p>7+ years experience designing and developing cloud-native solutions</p> </li><li> <p>7+ years experience designing and developing microservices using Java, SpringBoot, GCP SDKs, GKE/Kubernetes</p> </li><li> <p>7+ years experience deploying and releasing software using Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs</p> </li></ul> <p>What could set you apart</p> <ul> <li>Cloud Certifications: </li></ul> <p>Google Professional Cloud Architect</p> <p>Google Professional Machine Learning Engineer</p> <p>Google Professional Data Engineer</p> <ul> <li>Experience with the following: </li></ul> <p>AI and Machine Learning platforms like Vertex AI</p> <p>Building applications with Langchain, Langgraph, or similar agentic frameworks</p> <p>Model @context Protocol (MCP)</p> <p>Cloud Native technologies like Istio, Envoy, Argo, and other CNCF projects</p> <p>LLM observability tools like Langfuse</p> <p>#LI-KC1</p> <p>#LI-Hybrid</p>