Jobs via Dice

Jobs via Dice

Front End Developer

Rockville, Maryland, USFull-time20 hours agovia LinkedIn

Salary

-

Job type

Full-time

Location

Rockville, Maryland, US

Remote

No

Posted

20 hours ago

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Job description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, SM Global IT LLC, is seeking the following. Apply via Dice today!

Position: Front End Developer with AWS/Python

Location: Rockville, MD / Tyson, VA Hybrid 3 days onsite

Duration: 12+ Months Contract

Must be local for F2F

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 Supplier Comments

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