Senior Software Engineer

Equifax, Inc. in; Alpharetta (GA); On-site; USD 140,000 - 175,000; Full time

Benefits offered by this job

Equifax wellness program

Job summary

Equifax Inc. is seeking a Senior Software Engineer to design, build, and operate scalable conversational AI systems and virtual agents. You will architect multi-turn dialogues, manage state, and integrate with enterprise databases and CRMs.

The role emphasizes serverless backends, CI/CD automation with Jenkins, and strong security practices. The ideal candidate has 7+ years in software engineering, hands-on cloud-native experience (GCP/AWS/Azure), and proficiency in Python, Node.js/TypeScript,

Qualifications

• Bachelor’s degree in CS/SE or equivalent experience.
• 7+ years of software engineering in scalable, cloud-native solutions.
• 5+ years producing production code in Python, Node.js/TypeScript, or Java.
• 3+ years on Google Cloud Platform including encryption basics.
• Experience with IVR/contact center systems.
• Experience building conversational AI on enterprise platforms (Dialogflow, AWS Lex, Azure Bot Service, Rasa, etc.).
• Experience with Jenkins CI/CD, containers, and IaC (Terraform).
• Experience designing REST/gRPC APIs, webhooks, and middleware patterns.

Responsibilities

• Design, develop, and operate high-scale conversational AI apps and virtual agents.
• Architect multi-turn dialogue flows, state management, and routing.
• Build, deploy, test, and maintain serverless webhooks, microservices, and APIs.
• Build and automate CI/CD pipelines using Jenkins for configurations and deployments.
• Establish security, identity management, and data encryption controls across platforms.
• Collaborate across teams to integrate with enterprise databases and internal systems.

Skills

Cloud-native development

Agile/Scrum

REST/gRPC APIs

CI/CD mindset

Problem-solving

Education

Bachelor's degree in CS or Software Engineering

Tools

Jenkins

Terraform

Google Cloud Platform

Dialogflow

AWS Lex

Azure Bot Service

Rasa

LangChain

Job description

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 position is based out of our Alpharetta, Georgia office.
• We believe great things happen when teams connect. Our schedule is built around 4 days of high-impact, in-office collaboration (Monday-Thursday), paired with Friday Flexibility to wrap up your week remotely.
• This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
• This position is not open to third-party vendors or C2C.
• In person interviews are required.

What you’ll do

• Design, develop, and operate high-scale conversational AI applications, virtual agents, and interactive assistants.
• Architect multi-turn dialogue flows, state management, context retention, and intent/entity routing.
• Design, deploy, test, and maintain serverless fulfillment webhooks, microservices, and backend APIs.
• Build, maintain, and automate CI/CD pipelines using Jenkins for building, testing, and deploying virtual agent configurations and fulfillment services.
• Establish enterprise security, identity management, and data encryption controls across conversational platforms and integrations.
• Build scalable pipelines for conversational data, telemetry, analytics, and knowledge store integrations (e.g., RAG patterns).
• Apply modern software development practices (serverless computing, microservices architecture, Jenkins CI/CD pipelines, infrastructure-as-code).
• Participate in technology roadmap and architecture discussions to turn business requirements into production-ready virtual agents.
• Work across teams to integrate conversational interfaces with enterprise databases, CRMs, and internal systems.
• Triage product or system issues and debug, track, and resolve performance bottlenecks across webhooks and service integrations.
• Manage project priorities, deadlines, and deliverables within a collaborative engineering environment.
• Actively participate in Sprint planning, Sprint Retrospectives, and Agile team activity.

What experience you need

• Bachelor's degree in Computer Science, Software Engineering, or equivalent experience.
• 7+ years of software engineering experience building scalable, cloud-native solutions.
• 5+ years experience writing, debugging, and troubleshooting production code in mainstream languages (e.g., Python, Node.js/TypeScript, Java).
• 3+ years of experience with the Google Cloud Platform including basic encryption technology.
• Experience working with IVR/contact center systems.
• Any amount of experience designing, building, and deploying conversational AI solutions using enterprise platforms (e.g., Dialogflow, AWS Lex, Azure Bot Service, Rasa, or custom LLM frameworks).
• Experience deploying and releasing software using Jenkins CI/CD pipelines, containerization, and infrastructure-as-code concepts (e.g., Terraform).
• Experience designing and consuming REST/gRPC APIs, webhooks, and middleware integration patterns.
  

What could set you apart

• AI Tooling & Generative AI: Experience with LLM frameworks (e.g., LangChain, LlamaIndex), agentic architectures, tool/function-calling, vector databases, and prompt engineering.
• Advanced DevOps: Deep expertise customizing Jenkins shared libraries, automated test integration within CI/CD pipelines, and Helm Charts.
• Cloud certification (e.g., AWS Solutions Architect, GCP Professional Architect, or Azure Solutions Architect).
• Experience integrating voice channels, Speech-to-Text (STT), Text-to-Speech (TTS), or telephony platforms (e.g., Twilio, Genesys).
• Experience with big data processing, streaming analytics, or data pipeline tools (e.g., Kafka, Spark, Airflow).
• Deep understanding of automated testing frameworks for conversational flows, webhooks, and REST APIs.
• Self-starter that identifies and responds to priority shifts and complex architecture challenges with minimal supervision.

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