Equifax
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Full Stack Engineer
role at
Equifax
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 and 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.
Ability to clearly communicate ideas to both technical and non‑technical audiences.
Attention to detail and excellent analytical and problem‑solving skills.
Strategic planning and problem‑solving expertise.
Mentoring experience with junior engineers.
Strong relationship building with customers and coworkers.
Proactive information gathering and assimilation.
Forward‑thinking mindset to 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 AI and Machine Learning platforms like Vertex AI and building applications with Langchain, Langgraph, or similar agentic frameworks.
Experience with Model Context Protocol (MCP), cloud‑native technologies such as Istio, Envoy, Argo, and other CNCF projects.
Knowledge of 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 usage.
Experience working in a matrix organization (e.g., Spotify model).
Experience in compliance, HR/onboarding, or related development.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
Referrals increase your chances of interviewing at Equifax by 2x.
Get notified about new Full Stack Engineer jobs in
St. Louis, MO .
#J-18808-Ljbffr
Full Stack Engineer
role at
Equifax
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 and 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.
Ability to clearly communicate ideas to both technical and non‑technical audiences.
Attention to detail and excellent analytical and problem‑solving skills.
Strategic planning and problem‑solving expertise.
Mentoring experience with junior engineers.
Strong relationship building with customers and coworkers.
Proactive information gathering and assimilation.
Forward‑thinking mindset to 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 AI and Machine Learning platforms like Vertex AI and building applications with Langchain, Langgraph, or similar agentic frameworks.
Experience with Model Context Protocol (MCP), cloud‑native technologies such as Istio, Envoy, Argo, and other CNCF projects.
Knowledge of 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 usage.
Experience working in a matrix organization (e.g., Spotify model).
Experience in compliance, HR/onboarding, or related development.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
Referrals increase your chances of interviewing at Equifax by 2x.
Get notified about new Full Stack Engineer jobs in
St. Louis, MO .
#J-18808-Ljbffr