Sr. Full Stack Developer at Horizontal Talent in Minneapolis, Minnesota

Job Description:

Our client is seeking a dynamic and experienced Senior Full Stack Developer to join their team. This role is perfect for someone who can bring modern machine learning and optimization models into production, working as part of a highly multi-disciplinary team of data scientists, software development engineers, strategic partners, product managers, and subject domain experts.

Responsibilities:

- Partner with Data Scientists and Data Engineers to operationalize machine learning and optimization models

- Build data APIs and data delivery services that support critical operational and analytical applications

- Ensure successful development and deployment of model code, data pipelines, APIs, and user interfaces into production

- Troubleshoot issues and support production applications

- Continuously integrate code into on-premise and AWS cloud environments

- Transform data science prototypes into production-ready software products

- Optimize solutions for performance and scalability

- Ensure implementation of methodology, standards, and procedures

- Coordinate activities with internal and external technology service providers

- Coach and mentor other developers on the team

Qualifications:

- BS/MS degree, preferably in a technical or scientific field

- 5-7 years of hands-on experience designing, developing, integrating, and running business, big data and/or data science applications

- 1-2+ years of hands-on experience working with AWS as a developer

- Experience developing Angular applications and with Java, SQL, and building REST APIs

- Experience with AWS services such as Lambda, DynamoDB, SQS, EventBridge, Step Functions, Aurora, S3, and API gateway

- Experience with automating application deployment, continuous delivery, and continuous integration (Git, GitLab, Jenkins)

- Experience using Agile/Scrum methodologies and backlog management tools (e.g., VersionOne, JIRA)

Preferred Qualifications:

- Experience with design patterns and implementation for machine learning and data science products

- Experience with design patterns and implementation using microservices architecture

- Understanding or experience with loose coupling of front-end modules on AWS

- Experience with deploying and managing infrastructures based on Docker, OpenShift, and AWS

- Knowledge of data engineering and experience with big data

- Experience with Redux / Flux / NgRx store implementation

- Experience developing, testing and deploying APIs using Python-based frameworks such as Flask, FastAPI and/or GraphQL

- Experience writing complex SQL queries and experience with both SQL and NoSQL databases (PostgreSQL and AWS DynamoDB preferred)

- Experience working with AWS Machine Learning tools (e.g., AWS SageMaker)

- Experience with data visualization frameworks such as D3

Our client values diversity and is committed to creating an inclusive environment for all employees. We invite you to apply and join our client's team in driving innovation and excellence.