Full stack developer

Skills

- 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

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.





WHAT YOU NEED TO SUCCEED (MINIMUM QUALIFICATIONS)

The Senior Full Stack Developer position has multiple years of software development experience with recent hands-on experience working with AWS services as a developer. Candidate must have a bias for action and be capable of system level thinking. Candidate must also have excellent written and verbal skills with the ability to communicate effectively with all levels of employees and management. Additionally, candidate must be a self-learner with the ability to pick up new technologies and provide tangible results

Responsibilities

• - 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