What are the responsibilities and job description for the Senior Full Stack Developer (ONLY LOCAL TO Minneapolis, MN) position at International Systems Technologies Inc.?
Position: Senior Full Stack Developer
Location: 8400 Normandale Lake Blvd, Minneapolis, MN 55437 (Hybrid) Local only
Duration: 12 Months Contract
Job Description:
We are looking for a Senior Full Stack Developer who can bring modern machine learning and optimization models into production together working as a part of a highly multi-disciplinary team of data scientist, software development engineers, strategic partners, product managers and subject domain experts. The Senior Full Stack Developer will take models developed by the data scientists and integrate them with the rest of the company’s platform. This could involve building APIs around the model so that it can be served and consumed, developing user interfaces to visualize and interact with model results, and implementing monitoring capabilities to verify that solutions continue to provide accurate inferences.
Skills Required:
BS/MS degree, preferably in a technical or scientific field
5-7 years of experience 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
Experience developing with Java, SQL and building REST APIs
Experience working with AWS services with an emphasis on managed services such as Lambda, DynamoDB, SQS, EventBridge, Step Functions, Aurora, S3, and API gateway
Experience developing infrastructure-as-code using AWS tools (e.g., Cloud Development Kit, Cloud Formation)
Experience with automating application deployment, continuous delivery, and continuous integration (Git, GitLab, Jenkins)
Experience using Agile/Scrum methodologies
Experience with backlog management tools (e.g., VersionOne, JIRA)
Strong problem-solving skills and capability to understand and set direction for complex technology integration
WHAT WILL GIVE YOU A COMPETITIVE EDGE (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
Experienced 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 (e.g., queries involving joins and subqueries) 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
Understanding and focus on business outcomes
Strong teamwork skills