Full Stack Software Developer (Kubernetes / AWS)

Job Title: Full Stack Software Developer (Kubernetes / AWS)
Location: Hybrid – Reston, VA (onsite 1x every 3 months + ad-hoc as needed; candidate must be based in DC, MD, or VA at time of submission)
Interview Process: Video, then onsite in Reston, VA

Company Overview
Glint Tech Solutions is a women-owned, global IT staffing and recruiting firm serving enterprise clients across the USA and Canada.

Project Description
A leading enterprise client is undergoing a legacy web application modernization and AWS cloud migration effort. The selected candidate will perform complex analysis, design, development, testing, and debugging, while helping define system scope, objectives, and baselines, and establishing project standards and processes.

Key Responsibilities

  • Develop, test, and debug a legacy web application while supporting its migration to AWS
  • Collaborate with stakeholders to define system scope, objectives, and baselines
  • Establish project standards/processes and break down complex requirements into scalable systems
  • Build and maintain automated tests using Playwright in AWS
  • Work with and extend code developed by other engineers

Mandatory Skills

  • 8+ years of Software Development experience (Full Stack: ~70% Backend / 30% Frontend)
  • Frontend: Angular 16+, React, HTML, CSS
  • Backend: Java 17+, Spring Boot, unit/integration testing with JUnit/TestNG
  • MongoDB and Aurora PostgreSQL
  • Hands-on AWS experience, including deploying and managing EKS
  • Hands-on Kubernetes experience and AWS cloud migration/re-platforming (on-prem to off-prem) experience
  • AWS Certified Developer and/or Architect (required)
  • Extensive Agile/Scrum experience
  • Excellent verbal and written English communication skills
  • BS Degree (or 4 additional years of relevant work experience in lieu of degree)

Nice-to-Have Skills

  • CKA or CKAD (Certified Kubernetes Administrator/Application Developer)
  • Experience with API Management Tools
  • Experience with GIT/BitBucket
  • Amazon Q / AI tooling experience

See also

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