Oportun. Inc

Solutions Architect

Req No.
2021-10638
Department
Engineering
Type
Regular Full-Time
Remote / WFH
Yes
Job Locations
US-CA-San Carlos

Company Overview

ABOUT OPORTUN

Oportun (Nasdaq: OPRT) is a financial services company and digital platform that provides responsible consumer credit to hardworking people. Using A.I.-driven models that are built on years of proprietary customer insights and billions of unique data points, we have extended millions of loans and billions in affordable credit, providing our customers with alternatives to payday and auto title loans. In recognition of our responsibly designed products which help consumers build their credit history, we have been certified as a Community Development Financial Institution (CDFI) since 2009.

 

OPORTUN’S IMPACT

Since extending our first loan in 2006, Oportun has made over 4 million loans, totaling over $10 billion to hardworking low- and moderate-income individuals. In turn, Oportun has helped more than 905,000 people begin establishing the credit history required to enter the financial mainstream. At the same time, Oportun’s customers have saved an estimated $1.9 billion in interest and fees compared to the alternatives typically available to them.

 

Department Overview

ABOUT TECHNOLOGY @ OPORTUN

Artificial Intelligence and a digital platform are essential to our ability to fulfill Oportun’s financially inclusive mission. The Technology team @ Oportun is dedicated to this mission which we enable by creating, delivering, and maintaining elegant, intuitive, and performant systems to support the needs of our customers and business partners.

Overview

Oportun is looking for a Lead Software Engineer to join our Customer Data Engineering team. In this role you will play key part leading the developing data processes and services for our customer data to support all our operation processes, data sciences and business intelligent data processing. Our team works with:

  • The Hadoop ecosystem
  • Relational data modeling and batch processing on SQL databases
  • Distributed processing framework like Spark
  • Streaming data platforms like Kafka or AWS Kinesis
  • Realtime stream processing frameworks like Spark Streaming, Flink or Kafka Stream
  • Cloud computing systems like Amazon Web Services
  • Big Data analytics tools like Hive or Spark SQL

 

If you have a passion for leading a team to develop data processing software, including acquisition, cleansing, correlation, organization, analysis and machine learning, and the challenge of building new data infrastructure and processes excites you, we would love to hear from you.

Responsibilities

  • Leading a new Engineering Team focusing on our Customer Data
  • Work closely with product management, business, engineers, cross-functional analysts and data scientist
  • Designing of new systems and redesigning of existing systems to meet business requirements, changing needs, and newer technologies
  • Demonstrates master hands-on capability to drive components to delivery from inception to final product.
  • Recommends and contributes to software engineering best practices, including those that have enterprise-wide impact.
  • Takes accountability for the quality, total cost of ownership, maintainability and security of any component or application produced.
  • Performs as an expert in all parts of the software development lifecycle (e.g., coding, testing, development) and coaches other around such practices.
  • Converses in many technologies and learns new technologies quickly.
  • Ability to provide a clear and concise explanation of business strategy, technical concepts, designs or implementation to a non-technical audience.
  • Stays abreast of industry trends and technologies and knows when/how/if to apply them appropriately.

 

Qualifications

  • 10+ years of experience working as a software engineer/solution architect
  • 10+ years of experience in Java/Python development
  • 4+ years of experience working within an Agile/Scrum and CI/CD environment
  • 3+ years of experience leading small teams of other engineers
  • Expert with Python and JavaScript based technologies
  • Extensive professional experience with Angular, React, Redux, NodeJS, Webpack Knowledge of popular Python web frameworks such as Django, Flask, or FastAPI as well as common frameworks for authentication and security.
  • Proficiency in developing applications with at least one compiled language (Java, C++, GoLang, Rust).
  • Experience using AWS to build end to end distributed technical solutions (ALB, ECS, EC2, Fargate, Lambda,etc.) and as well as general cloud native applications.
  • Has experience creating microservices and adopting application containerization using tools like Docker.
  • Familiarity with messaging frameworks (RabbitMQ, Kafka, Kinesis) as well as relational (MySQL/Postgres) and non-relational (Mongo, Cassandra, ElasticSearch) databases is a plus.
  • Experience with Git and VCS, TDD and BDD frameworks for Python and Javascript.
  • Extensive experience working with structured and unstructured data platforms, ELT/ETL, and Data Modeling
  • Experience with Test Driven Development JUnit or TestNG frameworks
  • Knowledge and experience with big data systems such as Hadoop, Spark is a plus
  • Experience with Machine Learning and Statistical Frameworks is a plus
  • Experience with NoSQL Database like MongoDB is a plus
  • Experience with Searching Technology like Solr or Elastic Search is a plus

 

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