Senior Software Engineer

Join Team CARFAX as a Senior Software Engineer

 

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! 

 

 

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. 

• 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.

• 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.