Fullstack Engineer with python,SQL,AWS in Rockville, MD, Tysons, VA, NYC or Jersey City, NJ - Onsite -Inperson interview - w2 role

Contact: Rockville, MD, Tysons, VA, NYC or Jersey City, NJ - Onsite

Fullstack Engineer Frontend

Job Must Haves:

• Bachelor s degree in a technical field such as Computer Science, Computer Engineering, or similar
• 5+ years of experience building full-stack production quality web-based multi-tier web applications
• 3+ years of experience building restful web in Python
• 3+ years of experience with SQL and databases
• 3+ years of experience building on Amazon AWS services
• Experience with data pipelines integrated with Machine Learning models
• Experience with Supervised ML Models and labelled datasets
• Experience working in agile scrum methodologies using Continuous Integration/Continuous Delivery (CI/CD) development practices
• Experience writing automated unit, component, and integration tests
• Able to adapt to evolving business priorities and requirements

Job Nice to Haves:

• Experience with Angular and responsive front-ends
• Exposure to data pipelines and big data technologies such as Spark, Kafka, Flink, or similar

About the Position / Current Initiatives: The team you will be joining is a small team focused on building the first version of a Feedback Loop Labelling application for Surveillance Pipelines. You will work on a cross-functional team consisting of product managers, back-end, and other full-stack engineers to design and implement a micro-app on the new Surveillance Command Center platform to help users generate a Ground Truth dataset.

About the Team Structure + Culture: A small, cross-functional team consisting of product managers, back-end engineers, and full-stack engineers.

Manager Likes/Dislikes: Not Found ?

Qualifying/Screening Questions:

• Can you describe your experience building restful web services in Python?
• What is your experience working with Amazon AWS services, and which specific services have you used?
• Have you worked with supervised machine learning models and labelled datasets? Can you provide an example?
• How do you approach writing automated unit, component, and integration tests?
• Can you share an example of a project where you worked with data pipelines integrated with machine learning models?

Project Description

Summary:

The team you will be joining a small team focused on building the first version of a Feedback Loop Labelling application for Surveillance Pipelines. You will work on cross-functional team consisting of product managers, back-end, and other full-stack engineers to design and implement a micro-app on the new Surveillance Command Center platform to help users generate a Ground Truth dataset.

Job Responsibilities:

Interpret business needs to design a web application that supports business needs

Implement the product leveraging industry standards and best-practices

Develop responsive front-end systems to integrate with existing user platforms

Support team in shepherding releases through the SDLC process through to production

Qualifications:

Bachelor s degree in a technical field such as Computer Science, Computer Engineering, or similar

5+ years of experience building fulk-stack production quality web-based multi-tier web applications

3+ years of experience building web front-ends with Angular

2+ years of experience building restful web in Python

Experience with SQL and databases

3+ years of experience building on Amazon AWS services

Experience working in agile scrum methodologies using Continuous Integration/Continuous Delivery (CI/CD) development practices

Experience writing automated unit, component, and integration tests

Able to adapt to evolving business priorities and requirements

Nice to Have:

Experience with data pipelines integrated with Machine Learning models

Exposure to data pipelines and big data technologies such as Spark, Kafka, Flink, or similar

Familiarity with supervised ML models and labelled datasets