Staff Software Engineer - R12079

Job Description

Oportun is seeking a Staff Software Engineer to join their team. This role involves designing and building self-serve platforms that combine real-time ML deployment and advanced data engineering capabilities. The ideal candidate will have a strong background in the design and implementation of data platforms to enable self-serve for ML pipelines while enabling seamless deployments supporting real-time feature computation and prediction.

Responsibilities:

• Design and build self-serve platforms for real-time ML deployment and data engineering.
• Develop microservices using Kubernetes and Docker.
• Create APIs and backend services using Python and FastAPI.
• Architect platforms for real-time ML inference using AWS SageMaker and Databricks.
• Build and optimize ETL/ELT pipelines using PySpark and Pandas.
• Design and implement CI/CD pipelines using Jenkins and GitHub Actions.
• Create and maintain technical documentation.
• Collaborate with cross-functional teams.

Requirements:

• 10-15 years of experience in IT.
• 8-10 years of experience in platform backend engineering.
• 2-3 years of experience in DevOps & data engineering roles.
• 5 years of experience as architect building platforms that scale.
• Hands-on experience with real-time ML model deployment and data engineering workflows.
• Strong expertise in Python, Pandas, PySpark, and FastAPI.
• Proficiency in Kubernetes and Docker.
• Advanced knowledge of AWS services like SageMaker, Lambda, DynamoDB, EC2, and S3.
• Solid understanding of databases such as MongoDB, DynamoDB, MariaDB, and PostgreSQL.
• Proficiency with CI/CD tools like Jenkins and GitHub Actions.
• Hands-on experience with observability tools like New Relic.

Oportun offers:

• Opportunity to work on a mission-driven fintech team.
• A diverse, equitable, and inclusive culture.
• The chance to contribute to financial inclusion for underserved communities.