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Visionist

Engineering, software development and analytics services

Full Stack Software Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeLaurel, MD, USA

About the Job

Requirements

  • A bachelor's degree in a technical discipline is required, though an additional two years of experience may substitute for the degree.
  • At least six years of software development experience is required.
  • One of the following certifications is required: AWS Certified Developer – Associate, AWS Certified Machine Learning – Associate, AWS Certified Machine Learning – Specialty, AWS DevOps Engineer Professional, or Certified Kubernetes Application Developer (CKAD).
  • Proven experience building and maintaining production systems at scale is required.
  • Experience designing and optimizing high-volume web application architectures is required.
  • A strong background in systems integration across diverse technologies and platforms is required.
  • Hands-on cloud engineering experience is required; AWS experience is preferred.
  • Proficiency with Kubernetes administration and common deployment patterns is required.
  • Strong Python programming skills are required.
  • Experience implementing observability solutions such as application performance monitoring (APM), OpenTelemetry, Grafana, and Prometheus is required.
  • Familiarity with continuous integration and continuous delivery (CI/CD) pipelines and modern DevOps practices is required.
  • The candidate must demonstrate the ability to drive change and influence across teams or organizations.
  • The candidate must be able to thrive in ambiguous environments and create structure where needed.
  • Excellent communication and collaboration skills are required.
  • Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with polygraph is required.
  • U.S. citizenship is required; green card holders and permanent residents are not eligible.
  • Applicants selected must be able to obtain or maintain a government security clearance.

Responsibilities

  • Design, implement, and optimize infrastructure to support artificial intelligence model inference at scale.
  • Support the development and ongoing maintenance of production AI services and applications, including retrieval-augmented generation (RAG), autonomous agents, and emerging technologies.
  • Navigate ambiguous and evolving requirements to define scalable, well-structured technical solutions.
  • Drive adoption of new technologies, tools, and best practices across engineering teams.
  • Implement and maintain monitoring, logging, and observability solutions for AI services.
  • Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) principles.
  • Ensure the availability, reliability, performance, and scalability of AI platform components.
  • Contribute to and uphold security best practices for AI systems and data.
  • Provide technical guidance and informal mentorship to junior engineers.

Desired Qualifications

  • AWS cloud engineering experience is preferred.

About the Company

Visionist

Engineering, software development and analytics services

Visionist provides engineering, software development, and analytical services for mission-critical intelligence projects. It assembles cross-disciplinary teams—developers, analysts, designers, and data scientists—to own and deliver critical outcomes, often under large prime contracts. Its offerings include integrating AI/ML into mission systems, embedding data scientists in analytics, UX and data-analysis apps, signal/cyber/exploitation analysis, penetration testing, data modeling, and DSP. The company combines a small-team feel with scale, shares employee ownership through an ESOP, and aims to keep staff engaged while delivering meaningful, mission-focused results.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Columbia, SC
Founded
2010

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