Senior Full Stack Engineer

Overview

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

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 employment needs.

We are seeking a visionary full stack engineer to join our technology transformation initiative. In this role, you will work in a talented team designing and deploying cutting-edge, cloud-native solutions. You will be at the forefront of modern development, employing vibe coding concepts with AI-powered coding assistants like Git Hub Copilot, Gemini, and accelerate innovation and build highly scalable, reliable, and performant APIs, microservices, and PaaS/SaaS platforms, including the ability to design, develop, and deploy AI agents in the google cloud platform.

This role requires a deep understanding of both front-end and back-end technologies, combined with in depth knowledge and experience of cloud infrastructure, containerization, microservices architecture and the agentic AI framework. You're not just a coder; you're an architect, a lead, a mentor, and a key driver of the team's technical vision. If you are passionate about solving complex problems and working in a high-performing team, we want to hear from you.

This role requires being in the office 3 days/week on Tues - Thurs.

This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.

What you’ll do

• Design and deliver, robust cloud-native solutions for complex business problems using standard SDLC methodologies.
• Develop scalable APIs and microservices using Java Spring Boot, Python, Node. js and other modern frameworks on public cloud infrastructure (GCP and AWS).
• Champion modern software development practices by actively using AI code-assist tools (e.g., Gemini code assists, Github Copilot, Claude code) to accelerate development cycles, generate documentation, improve code quality, testing, and monitoring & observability practices
• Build, manage, and work with a cross-functional team of software, quality, and reliability engineers, fostering a culture of technical excellence and continuous improvement.
• Define and report on key engineering metrics (SLA, SLO, SLI) and ensure compliance with security, quality, and financial operations (Dev Sec Ops , Fin Ops) best practices.
• Collaborate with product managers, architects, SREs and business partners to define technical strategy, create software roadmaps, and make key architectural and design decisions.
• Lead troubleshooting efforts to resolve production and customer issues, demonstrating deep technical expertise and problem-solving skills.
• Participate and lead agile team activities, including Sprint Planning and Retrospectives, to ensure efficient and predictable delivery
• Lead with a data/metrics driven mindset with a extreme focus towards optimizing and creating efficient solutions
• Drive up-to-date technical documentation including support, end user documentation and run books
• Create and deliver technical presentations to internal and external technical and non-technical stakeholders communicating with clarity and precision

What experience you need

• Bachelor's degree or equivalent experience
• 5-7 years of professional experience in software development, with a strong portfolio of building and shipping full-stack applications.
• Front-End Expertise:
  Proficiency in modern JavaScript frameworks such as React, Angular, or Vue.js, along with a strong command of HTML5, CSS3, and Type Script.
• Back-End Expertise:
  Deep knowledge and experience of back-end programming languages like Node.js, Python, Go, or Java, and experience building RESTful APIs and microservices
• Cloud Platforms:
  Extensive hands-on experience with at least one major cloud provider (Google Cloud, AWS or Azure).
• Containerization:
  Experience using Docker for containerizing applications and Kubernetes for orchestration.
• Infrastructure as Code (IaC):
  Proficiency with…