Jobs · Engineering · Maryland

Junior Full Stack Software Engineer (AWS Certification Required)

Visionist, Inc. · Laurel, MD · 5 mo ago
On-siteEngineering$115k–$159k/yrFull-time

About the role

You will be joining a critical mission supporting our customers' big data processing platforms. The analytics developed and deployed in these ecosystems are critical to ensuring that the data flowing through the agency can be leveraged by analysts to perform mission critical reporting and decision making. You will be working with the newest technology and methodologies for processing mass amounts of data and distilling them into actionable results.

Responsibilities

  • Implement and support infrastructure for AI model inference under the guidance of senior engineers
  • Contribute to the development and maintenance of production AI services and applications, including retrieval-augmented generation (RAG) and autonomous agents
  • Participate in implementing monitoring, logging, and observability for AI services
  • Avoid automating infrastructure provisioning and configuration using Infrastructure as Code (IaC) principles
  • Help ensure the availability, reliability, and performance of AI platform components
  • Follow established security best practices for AI systems and data
  • Work effectively in ambiguous problem spaces, learning to define structured and scalable solutions
  • Collaborate with cross-functional teams and contribute to shared engineering standards

Requirements

  • Experience contributing to production systems
  • Bachelor's degree in a technical discipline (or additional 2 years of experience may substitute degree)
  • 3 years of experience in software development
  • One of the following certifications: AWS Certified Developer --- Associate AWS Certified Machine Learning --- Associate AWS Certified Machine Learning --- Specialty AWS DevOps Engineer Professional Certified Kubernetes Application Developer (CKAD)
  • Familiarity with high-volume web application architectures
  • Exposure to cloud engineering, preferably AWS
  • Working knowledge of Kubernetes concepts and containerized deployments
  • Proficiency in Python
  • Familiarity with CI/CD pipelines and DevOps practices
  • Ability to learn new technologies quickly and adapt in fast-moving environments
  • Strong communication skills and a willingness to ask questions and collaborate

Benefits

  • Competitive 15% retirement contribution!
  • 4 weeks paid time off that is never “use or lose”, 12 paid holidays, comp time, overtime, AND flexible work hours
  • 80 hours of paid parental leave with an additional $8,000 supplemental payment upon returning from maternity
  • Medical, dental, & vision benefits for both individuals and families (those who waive medical benefits will receive an additional $4,160/year)
  • Annual lifestyle bonus of $600 – use it towards gyms/fitness, new tech, or your HSA!
  • Annual merit increases & performance-based bonuses
  • Term life insurance, short-term disability, & long-term disability

Pay

$115,000 - $159,000

Schedule

Flexible work hours

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