Senior Software/ML Engineer

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 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.

What you’ll do

• Demonstrate a deep understanding of cloud native, distributed micro service based architectures

• Deliver solutions for complex business problems through software standard SDLC

• 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

• Build and manage strong technical teams that deliver complex software solutions that scale

• Manage teams with cross functional skills that include software, quality, reliability engineers, project managers and scrum masters

• Provide deep troubleshooting skills with the ability to lead and solve production and customer issues under pressure

• Leverage strong experience in full stack software development and public cloud like GCP and AWS

• Mentor, coach and develop junior and senior software, quality and reliability engineers

• Lead with a data/metrics driven mindset with a maniacal focus towards optimizing and creating efficient solutions

• Ensure compliance with EFX secure software development guidelines and best practices and responsible for meeting and maintaining QE, DevSec, and FinOps KPIs

• Define, maintain and report SLA, SLO, SLIs meeting EFX engineering standards in partnership with the product, engineering and architecture teams

• Collaborate with architects, SRE leads and other technical leadership on strategic technical direction, guidelines, and best practices

• Drive up-to-date technical documentation including support, end user documentation and run books

• Lead Sprint planning, Sprint Retrospectives, and other team activity

• Responsible for implementation architecture decision making associated with Product features/stories, refactoring work, and EOSL decisions

• 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

What experience you need  

• Bachelor's degree or equivalent experience; a Master's Degree is preferred, especially with AI/ML coursework.

• 7+ years of software engineering experience, with a proven track record of writing, debugging, and troubleshooting code with high proficiency in Python. Experience with Django, TypeScript/JavaScript, HTML, and CSS is also valuable.

• 7+ years of experience with Cloud technology, specifically GCP and AWS.

• 7+ years of experience designing and developing cloud-native solutions and microservices using Python, GCP SDKs, and GKE/Kubernetes.

• 3+ years of experience with end-to-end development of ML models, from ideation to deployment, ensuring best practices, scalability, and reliability.

• Demonstrable experience working programmatically with various Data Engineering tool APIs in cloud environments, including:

  • Google Cloud Platform (GCP): Dataflow, Composer, BigQuery, Pub/Sub, Vertex AI

• Amazon Web Services (AWS): Glue, Kinesis, Redshift

What could set you apart

• You're a self-starter who can identify and respond to priority shifts with minimal supervision.

• You possess strong communication and presentation skills.

• You demonstrate strong leadership qualities, along with proven problem-solving skills and the ability to mentor and guide individuals to increase their skills.

• Strong expertise in Generative AI (GenAI), including:

  • A natural cur