Equifax, Inc.
Equifax is where you can \"power your possible.\" You'll drive modernization within Workforce Solutions as we continue our journey building best-in‑class solutions to serve our customer\'s HR management and verification of education, income, and employment needs.
You are naturally curious and open-minded, with a passion for building sophisticated, scalable applications. Your expertise in full-stack development and cloud platforms shines when designing and building prototypes and sharing your knowledge with others. You have an interest in emerging technologies, such as agentic frameworks like Langchain and Langgraph, and excel at driving business value through technology.
Equifax is seeking a
Full Stack Engineer
to provide practical guidance, executable architecture, and engineering for class‑leading applications within our Technology Excellence team. You will collaborate with some of the best talent in the industry to create and implement innovative, high‑quality solutions focused on our customers\' needs.
What \"you\'ll do\"
Design, develop, and deploy scalable, end-to-end applications using modern full-stack technologies, with a focus on the Google Cloud Platform (GCP).
Build robust backend services, APIs, and intuitive front-end interfaces.
Collaborate with a highly skilled team of Staff Engineers
Leverage core GCP services (e.g., GKE) to build and deploy resilient and performant solutions.
Integrate and orchestrate various systems and services, including exploring applications of LLMs and agentic frameworks where they can provide business value.
Prototype emerging patterns and technologies in the cloud-native and generative AI space to inform future architecture.
Socialize cloud-native capabilities and emerging technologies, contributing guidance to our knowledge repository.
What experience you need
Bachelor of Science (BS) degree in Computer Science, Statistics, Mathematics, or related field or equivalent job experience
Experience in Scrum and Agile methodologies
7+ years of experience in software engineering, including extensive software architecture experience
Solid hands‑on experience with modern programming languages such as Java, JavaScript, TypeScript, Python, and or Go.
Working knowledge of distributed systems and architecture design patterns
Experience in reviewing and selecting technologies for large-scale implementation
Solid hands‑on experience in all aspects of the software development life cycles
Experience leveraging agentic capabilities in Gemini Code Assist and GitHub Copilot.
Experience with or a strong interest in applying generative AI, LLMs, and agentic frameworks to solve real-world problems.
You can clearly communicate ideas to both technical and non-technical audiences - listening and providing answers
You have a very keen attention to detail
You have excellent analytical and problem-solving skills
You excel in strategic planning and problem-solving
You can successfully mentor junior engineers
You have the ability to build good relationships with customers and coworkers
Quickly and accurately gather and assimilate information
Ability to think ahead and anticipate problems, issues, and solutions
What could set you apart
Cloud Certifications:
Google Professional Cloud Architect
Google Professional Machine Learning Engineer
Google Professional Data Engineer
Experience with the following:
AI and Machine Learning platforms like Vertex AI
Building applications with Langchain, Langgraph, or similar agentic frameworks
Model Context Protocol (MCP)
Cloud Native technologies like Istio, Envoy, Argo, and other CNCF projects
LLM observability tools like Langfuse
Experience working with sensitive and/or regulated data (PII, PHI, Credit Card Information, FISMA, FedRAMP) and understanding of constraints and limitations of its usages
Experience working in a matrix organization (Spotify model, etc.)
Experience in compliance, HR/onboarding and/or legislation related development
#J-18808-Ljbffr
You are naturally curious and open-minded, with a passion for building sophisticated, scalable applications. Your expertise in full-stack development and cloud platforms shines when designing and building prototypes and sharing your knowledge with others. You have an interest in emerging technologies, such as agentic frameworks like Langchain and Langgraph, and excel at driving business value through technology.
Equifax is seeking a
Full Stack Engineer
to provide practical guidance, executable architecture, and engineering for class‑leading applications within our Technology Excellence team. You will collaborate with some of the best talent in the industry to create and implement innovative, high‑quality solutions focused on our customers\' needs.
What \"you\'ll do\"
Design, develop, and deploy scalable, end-to-end applications using modern full-stack technologies, with a focus on the Google Cloud Platform (GCP).
Build robust backend services, APIs, and intuitive front-end interfaces.
Collaborate with a highly skilled team of Staff Engineers
Leverage core GCP services (e.g., GKE) to build and deploy resilient and performant solutions.
Integrate and orchestrate various systems and services, including exploring applications of LLMs and agentic frameworks where they can provide business value.
Prototype emerging patterns and technologies in the cloud-native and generative AI space to inform future architecture.
Socialize cloud-native capabilities and emerging technologies, contributing guidance to our knowledge repository.
What experience you need
Bachelor of Science (BS) degree in Computer Science, Statistics, Mathematics, or related field or equivalent job experience
Experience in Scrum and Agile methodologies
7+ years of experience in software engineering, including extensive software architecture experience
Solid hands‑on experience with modern programming languages such as Java, JavaScript, TypeScript, Python, and or Go.
Working knowledge of distributed systems and architecture design patterns
Experience in reviewing and selecting technologies for large-scale implementation
Solid hands‑on experience in all aspects of the software development life cycles
Experience leveraging agentic capabilities in Gemini Code Assist and GitHub Copilot.
Experience with or a strong interest in applying generative AI, LLMs, and agentic frameworks to solve real-world problems.
You can clearly communicate ideas to both technical and non-technical audiences - listening and providing answers
You have a very keen attention to detail
You have excellent analytical and problem-solving skills
You excel in strategic planning and problem-solving
You can successfully mentor junior engineers
You have the ability to build good relationships with customers and coworkers
Quickly and accurately gather and assimilate information
Ability to think ahead and anticipate problems, issues, and solutions
What could set you apart
Cloud Certifications:
Google Professional Cloud Architect
Google Professional Machine Learning Engineer
Google Professional Data Engineer
Experience with the following:
AI and Machine Learning platforms like Vertex AI
Building applications with Langchain, Langgraph, or similar agentic frameworks
Model Context Protocol (MCP)
Cloud Native technologies like Istio, Envoy, Argo, and other CNCF projects
LLM observability tools like Langfuse
Experience working with sensitive and/or regulated data (PII, PHI, Credit Card Information, FISMA, FedRAMP) and understanding of constraints and limitations of its usages
Experience working in a matrix organization (Spotify model, etc.)
Experience in compliance, HR/onboarding and/or legislation related development
#J-18808-Ljbffr