Top Tech Jobs & Startup Jobs in Chennai

As a Senior Software Engineer at Oportun, you will design, develop, and maintain software solutions while contributing to architectural decisions and mentoring junior engineers. You will collaborate with cross-functional teams to deliver high-quality, scalable products that align with Oportun's mission to provide affordable credit.

As a Staff Software Engineer at Oportun, you will lead the delivery of complex software applications, ensuring high quality standards while collaborating across teams to resolve architectural challenges. Your role includes project leadership, mentoring, and driving technical decision-making, as well as creating frameworks that streamline engineering efforts.

Lead the design, development, testing, and deployment of complex software applications, establish best practices, and ensure high-quality coding. Oversee system architecture, provide technical leadership, and collaborate with senior leaders to align on policies and procedures.

The Senior Software Engineer will architect, deploy, and manage CICD platforms and source control management systems. They will also implement software security best practices, build features in the codebase, and work within a team to deliver results. A strong understanding of cloud services and DevOps practices is required.

Senior Software Engineer at Oportun, responsible for end-to-end delivery of complex software applications, providing technical leadership, conducting code reviews, mentoring junior engineers, and driving adoption of new practices. Requires 6 years of experience with a Bachelor's degree or a Master's degree.

The Senior Data Engineer leads the architecture and design of robust data solutions, develops and optimizes data pipelines, ensures database integrity, and establishes data quality standards. This role includes mentorship of junior team members and collaboration with cross-functional teams to meet data needs and enhance performance monitoring.

The Sr. Staff ML Engineer will lead the development and implementation of a cutting-edge machine learning infrastructure, mentor a team of engineers, and collaborate with data scientists on data pipelines. Responsibilities include setting model deployment strategies using Docker and Kubernetes, building CI/CD pipelines, and ensuring best practices for model management and performance optimization.