Job Description

Isn't it time you bragged about where you work? At CARFAX, we do, every day. We pride ourselves on being mission-focused on helping to grow a brand built on accuracy and integrity. We care deeply about our products and our customers. We're more than just a company: We help millions of consumers make more-informed decisions every day. We know that our teammates are our most valuable asset, and we value a balanced life while tackling challenging projects in a fast-paced environment. One last thing: Our four-day week continues in Summer 2026!
At CARFAX, we believe in the power of teamwork and value in-person interactions so that we can collaborate and thrive together. This position will require 2 days in the London, ON office per week, subject to change with future business needs.
As a Senior Software Engineer you will be a part of the CARFAX Data & AI / ML team. You will be working collaboratively with ML Engineers and Data Scientists to build and scale machine learning solutions, platforms, and pipelines to support machine learning initiatives at CARFAX. Leveraging the latest techniques and tools, this unique opportunity will aim to unlock the hidden potential in billions of records and enrich the quality of data provided by our automotive reporting products delivered daily to consumers across the globe.
What you'll be doing:

• Working in a dynamic team environment using Agile practices
• Designing, building, and maintaining scalable ML model serving infrastructure and CI/CD pipelines for machine learning (MLOps).
• Writing high-performing, robust code to guarantee fast and accurate delivery of new system features and production-ready ML model deployments on high-visibility projects
• Participating in design decisions, including technology research and prototyping for model monitoring, versioning, and feature stores.
• Utilizing test driven development and continuous integration methods for both application code and the ML model lifecycle.
• Getting exposed to a broad range of technologies to continually improve your skills
• Collaborating closely with other engineers, architects, Data Scientists, ML Researchers, support teams, and business stakeholders
• Apply best practices for architecture, security, and performance of complex systems in Java and Python, with a focus on productionizing ML models.
• Sharing your knowledge with junior and other senior team members on best practices for MLOps.

What we're looking for:

• Object Oriented experience with languages such as Java, Kotlin, OR Python (required for ML engineering and toolsets).
• Experience with JavaScript, Node.js, Typescript, HTML5 and CSS3.
• Microservices architectural pattern
• Experience with modern front-end JavaScript Libraries such as Reactjs, Vue OR Angular.
• Knowledge with client/server architecture and building web services using REST or GraphQL for high-throughput model inference.
• Relational and NoSQL databases system such as MySQL, Mongo, DynamoDB OR Elasticsearch.
• Experienced with developing in AWS cloud environment (including specialized services like AWS Sagemaker, EKS, or Lambda for ML workloads).
• Experienced with MLOps tools and platforms (e.g., MLflow, Kubeflow, Sagemaker Pipelines).
• Experienced with full SDLC development including design, building, testing, deployment, upgrade and support with a specialization in the ML model lifecycle and orchestration.
• Strong understanding of model monitoring (data drift, performance degradation) and model governance (versioning, lineage tracking).
• Ability to provide leadership and mentor engineers through complicated technical challenges.
• Ability to work and collaborate effectively in a team environment as well as independently.

What's in it for you:

• Competitive Compensation: Attractive salary, comprehensive benefits, and generous time-off policies.
• Flexible Work Schedules: Enjoy 4-day summer work weeks and a winter holiday break.
• Retirement Support: 401(k) / DCPP matching.
• Performance Rewards: Annual bonus program to recognize your contributions.
• Innovative Workspace: Casual, dog-friendly offices designed for creativity and collaboration.

Hear from our Team: Our accolades speak for themselves:

• 10X Virginia Business Best Places to Work
• 9X Washingtonian Great Places to Work
• 9X Washington Post Top Workplace
• St. Louis Post-Dispatch Best Places to Work

About CARFAX and S&P Global Mobility
S&P Global has recently the intent to separate our Mobility Segment into a standalone public company.
, part of S&P Global Mobility, helps millions of people every day confidently shop, buy, service and sell used cars with innovative solutions powered by CARFAX vehicle history information. The expert in vehicle history since 1984, CARFAX provides exclusive services like CARFAX Used Car Listings, CARFAX Car Care, CARFAX History-Based Value and the flagship CARFAX Vehicle History Report(TM) to consumers and the automotive industry. CARFAX owns the world's largest vehicle history database and is nationally recognized as a top workplace by The Washington Post and Glassdoor.com. Shop, Buy, Service, Sell - Show me the CARFAX(TM). S&P Global Mobility is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets.
US Equal Opportunity Employer Statement: CARFAX is an Affirmative Action/Equal Opportunity Employer. It is the policy of CARFAX to provide equal employment opportunity to all persons regardless of race, color, sex, pregnancy, religion, national origin, age, ancestry, citizenship status, veteran status, military status, disability or handicap, sexual orientation, genetic information or any other status protected by federal, state or local law. In addition, CARFAX will provide reasonable accommodations for qualified individuals with disabilities. We maintain a drug-free workplace. We are a participant in E-Verify.
Canadian Equal Opportunity Employer Statement: CARFAX Canada is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.
We're committed to providing accommodations by request for candidates taking part in all aspects of the recruitment and selection process. For a confidential inquiry or to request an accommodation, please contact your recruiter or email .

Skills Required