Building a next-generation cloud-based decisioning platform from the ground up.
Requirements
- 3+ years of professional software development experience, preferably in an enterprise or production setting
- 3+ years of experience working with Python
- Experience building service-oriented and event-driven architectures, using Domain-Driven Design for RESTful microservices.
- Strong understanding of CI/CD pipelines, with experience in CircleCI, Octopus, or similar tools.
- Experience working with AWS services, particularly Lambda, SageMaker Endpoints, EKS, RDS, and Python FastAPI.
- Experience using Terraform or other Infrastructure-as-Code (IaC) tools.
- Background/Experience in Data Science or Machine Learning (preferred)
Responsibilities
- Design, build, and support scalable microservices that power Machine Learning and Data Science applications.
- Partner with Data Scientists and ML Engineers to integrate cutting-edge models into production.
- Advocate for and implement best practices in DevOps/MLOps, CI/CD, and automation.
- Operate in a modern AWS cloud environment, leveraging AWS Lambda, Amazon RDS, Amazon EKS, SageMaker Endpoints, and Python FastAPI.
- Ensure high code quality through code reviews, testing, and software craftsmanship.
- Take ownership of projects, drive them forward, and contribute to technical decisions.
- Work closely with the Director of Machine Learning Engineering to architect and implement our new decisioning platform.
Other
- 3+ years of professional software development experience, preferably in an enterprise or production setting
- A track record of successfully delivering cross-functional projects in fast-paced, evolving environments.
- Competitive Compensation; eligible for STI
- Full Health Benefits; Medical/Dental/Vision/Life Insurance + Paid Parental Leave
- Company Matched 401k
- Paid Time Off + Paid Holidays + Paid Volunteer Hours
- Employee Resource Groups
- Employee Stock Purchase Program
- Tuition Reimbursement
- Charitable Gift Matching
- Job required equipment and services
