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Full Stack Engineer (Angular + AWS) Frontend | Onsite (MD/VA)

Role

Full Stack Engineer (Angular + AWS) Frontend | Onsite (MD/VA)

Job type

Full-time

Posted

17 hours ago

Salary

Not disclosed by employer

Job description

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

Job Title: Full Stack Engineer (Angular + AWS) Frontend/Backend | Onsite (MD/VA)

Location: Rockville, MD / Tyson, VA (5 days onsite)

Interview Process

Round 1: 1.30-mins Phone/Virtual

Round 2: In-person (Rockville, MD / Tyson, VA)

Work Authorization: Open to H1B transfers and candidates on(OPT, , L2), as well as be local to the MVD area

Role Overview

Seeking a hands-on Full Stack Engineer with strong frontend and cloud expertise to support a FinTech client building a next-generation Feedback Loop Labelling application for surveillance and analytics pipelines.

You will join a small, high-impact team developing a micro-application within a modern Surveillance Command Center platform.

Responsibilities

Collaborate with product managers and stakeholders to design scalable web applications

Build full-stack solutions using Angular and cloud-native backend services

Develop responsive, high-performance user interfaces

Design and implement RESTful APIs using Python

Build and deploy applications on AWS

Ensure code quality, testing, and performance optimization

Participate in Agile/Scrum ceremonies

Develop unit, integration, and component tests

Support SDLC and production releases

Work with data/ML teams on labeled data workflows

Required Skills

Bachelor s degree in Computer Science or related field

5+ years of full-stack development experience

3+ years with Angular

2+ years with Python (backend APIs)

Strong SQL and relational database experience

3+ years hands-on AWS experience

Experience with Agile, CI/CD

Strong fundamentals in testing and software design

Preferred Skills

Experience with ML/data pipelines

Exposure to Spark, Kafka, or Flink

Knowledge of labeled datasets and feedback systems

FinTech or compliance domain experience

Data-driven application development

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