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Senior Software Engineer - R12648

Senior Software Engineer to build self-serve platforms for ML deployment.
Oportun
Remote
India
Undisclosed salary
Job Description
Oportun is seeking a Senior Software Engineer to join their team. The ideal candidate will be responsible for building self-serve platforms that combine real-time ML deployment and advanced data engineering capabilities. This role requires a blend of cloud-native platform engineering, data pipeline development, and deployment expertise. The candidate will have a strong background in implementing data workflows and building platforms to enable self-serve for ML pipelines while enabling seamless deployments.

Responsibilities:
  • Design and build self-serve platforms that support real-time ML deployment and robust data engineering workflows.
  • Create APIs and backend services using Python and FastAPI to manage and monitor ML workflows and data pipelines.
  • Implement platforms for real-time ML inference using tools like AWS SageMaker and Databricks.
  • Enable model versioning, monitoring, and lifecycle management with observability tools such as New Relic.
  • Build and optimise ETL/ELT pipelines for data preprocessing, transformation, and storage using PySpark and Pandas.
  • Develop and manage feature stores to ensure consistent, high-quality data for ML model training and deployment.
  • Design scalable, distributed data pipelines on platforms like AWS, integrating tools such as DynamoDB, PostgreSQL, MongoDB, and MariaDB.
  • Use CI/CD pipelines using Jenkins, GitHub Actions, and other tools for automated deployments and testing.
  • Automate data validation and monitoring processes to ensure high-quality and consistent data workflows.
  • Create and maintain detailed technical documentation, including high-level and low-level architecture designs.
  • Collaborate with cross-functional teams to gather requirements and deliver solutions that align with business goals.
  • Participate in Agile processes such as sprint planning, daily standups, and retrospectives using tools like Jira.

Requirements:
  • 5-10 years experience in IT
  • 5-8 years experience in platform backend engineering
  • 1 year experience in DevOps & data engineering roles.
  • Hands-on experience with real-time ML model deployment and data engineering workflows.
  • Strong expertise in Python and experience with Pandas, PySpark, and FastAPI.
  • Proficiency in container orchestration tools such as Kubernetes (K8s) and Docker.
  • Advanced knowledge of AWS services like SageMaker, Lambda, DynamoDB, EC2, and S3.
  • Proven experience building and optimizing distributed data pipelines using Databricks and PySpark.
  • Solid understanding of databases such as MongoDB, DynamoDB, MariaDB, and PostgreSQL.
  • Proficiency with CI/CD tools like Jenkins, GitHub Actions, and related automation frameworks.
  • Hands-on experience with observability tools like New Relic for monitoring and troubleshooting.
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Oportun

Oportun is a mission-driven fintech company focused on providing accessible financial services. As a certified Community Development Financial Institution, Oportun empowers its members to achieve their financial goals through intelligent borrowing, savings, and budgeting solutions. The company offers responsible and affordable credit options and strives to save its members money on interest and fees. Oportun serves individuals often left out of the financial mainstream.

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