Job title: Fullstack Engineer with python,SQL,AWS
Contact: Rockville, MD, Tysons, VA, NYC or Jersey City, NJ - Onsite
Longterm
Inperson interview
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
| Vinay Ram
(Direct) Suwanee, GA - 30024
An MBE & eVerify Company |
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