Sr. Software Engineer - Hybrid In Michigan Only

Credibly•Southfield, MI

58d•Hybrid

About The Position

The Sr. Software Engineer (SE III) role is responsible for design and implementation of major components of our financial origination, servicing, and reporting system. This is done through both personal hands-on development and mentoring / leading more junior team members of the team. Our technology is a microservices architecture purpose built for AWS cloud on an open-source stack using Python, React, DynamoDB, MySQL, Linux, Docker, DataRobot, Large Language Models and Generative AI.

Requirements

6+ years of enterprise technical leadership in software architecture and development, supporting service and event based ecosystems
Some experience in Python
Experience mentoring and providing technical leadership to more junior developers.
Experience working with SQL and NoSQL based data stores
Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
Experience working on distributed applications that are deployed to and interact with cloud-based services

Nice To Haves

In addition to Python, experience with languages like Javascript, Typescript, Java
Experience with Flask and SqlAlchemy ORM
Experience in application containerization tools (Docker, EC2)
Experience developing prompts, and prompt frameworks to successfully leverage generative AI
Experience working with financial services applications
Experience with Cybersecurity best practices

Responsibilities

Work as part of an Agile development team, including stand-up meetings, story pointing, demo meetings, and retrospectives.
Decompose product-led Features into engineering-led Stories.
Create stories for, and provide technical leadership and guidance to, more junior developers working under you.
Work with the engineering, product and data science teams and business stakeholders to create innovative and effective solutions that support the needs of the business.
Use agentic generative AI tools to accelerate and improve documentation, development and testing.
Lead the design and development of new software products and major enhancements to existing software for clients and business partners.
Analyze, vet and review code that support standard database and software solutions on an enterprise software platform hosted on AWS.