Video Test Automation - Technical Architect/Lead Software Developer

Overview

On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

Algorithms
Collaboration
Workflow
Mentorship
Management
Quality Assurance
Emerging Technologies
Testing
Web Services
Python
Flask
OpenCV
Kubernetes
Docker
Microservices
Continuous Integration
Continuous Delivery
Jenkins
Amazon Web Services
Artificial Intelligence
Machine Learning (ML)
Computer Vision
Video
Analytics
Set-top Box
Automated Testing
SANS

Job Details

Position: Technical Architect/Lead Software Developer

Location: Denver, CO (we are ideally looking for a candidate based out of Denver but if you don't find anyone in Denver then we are open to looking for candidates anywhere in the US)

Experience Required: 10+ years in Software Development, AI/ML, and TV/STB Technologies

Job Overview:

We are seeking an experienced Technical Automation Architect/Lead Software Developer with strong expertise in OpenCV, AI/ML, video analysis systems, and TV/STB technologies. The role involves leading the development of advanced video quality analysis solutions, integrating automation workflows, and optimizing video processing systems.

Key Responsibilities:

  • Architect and develop a video and audio analysis system using Computer Vision (OpenCV),AI/ML and Python.
  • Implement machine learning or Computer Vision algorithms for automated video quality testing and analysis.
  • Design and deploy scalable distributed microservices architecture for video analytics.
  • Collaborate with teams to integrate video testing systems into automation workflows.
  • Leverage knowledge of TV and STB technologies to enhance system compatibility and performance.
  • Mentor team and oversee code reviews to ensure software quality and stability.
  • Stay updated with emerging technologies in AI/ML, video quality analytics, and TV Technologies.
  • Understanding of testing frameworks and web services is required.

Key Skills:

  • Programming: Python, Flask, OpenCV
  • Technologies: AI/ML, TV/STB Systems, Kubernetes
  • Architectures: Distributed Systems, Docker,Microservices
  • Tools: CI/CD, Automation Frameworks, Jenkins, AWS

Qualifications:

  • Strong understanding of AI/ML and computer Vision technologies and their applications in video analytics.
  • Hands-on experience with TV/STB technologies and automation testing.

Proven track record in delivering scalable and reliable software solutions.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.