Video Workflow Automation Engineer

Summary

Leidos is seeking a Video Workflow Automation Engineer in support of the AEGIS Enterprise Video Services team. This role is responsible for software development focused on creating efficient and scalable video workflows, including automation of video distribution and optimization of delivery processes.

Responsibilities

• Workflow Development: Design, develop, and maintain software solutions that automate video distribution workflows, including encoding, transcoding, packaging, and delivery
• Automation: Implement automated processes to reduce manual intervention and streamline operations, such as background tasks, batch processing, and error handling
• Optimization: Identify and implement performance optimizations to improve video delivery speed and efficiency
• Integration: Integrate video workflows with existing systems and platforms, such as content management systems, delivery networks, and analytics tools
• Problem-Solving: Troubleshoot and resolve technical issues related to video workflows and automation
• Collaboration: Work closely with other team members, including product managers, designers, and quality assurance engineers, to ensure successful project delivery
• Content-Aware Encoding Scripts: Develop and maintain AI-assisted Python and Bash scripts to dynamically adjust FFmpeg parameters for HEVC/H.265 and H.264 codecs based on real-time content complexity analysis
• Intelligent Transport Routing: Write automated scripts to monitor SRT transport protocol health, utilizing machine learning models to predict packet loss and automatically trigger failovers or route bandwidth to third-party CDNs during high-traffic live events
• 4K HDR Workflow Automation: Implement AI scripts to automate color space conversions and metadata tagging for 4K HDR live streams, ensuring seamless handoffs between ground hardware and cloud infrastructure
• Perceptual Quality Monitoring: Integrate AI-driven telemetry scripts with VMAF (Video Multi-method Assessment Fusion) to establish automated baseline grading for live streams, triggering alerts when perceptual video quality dips below acceptable broadcast thresholds
• Anomaly Detection: Deploy machine learning scripts to continuously parse system logs from UHD video routers and edge encoders, identifying predictive hardware failures or stream degradation before they impact the live feed
• Cloud Playout Automation: Author API-driven scripts to automate the spin-up and teardown of cloud-based Master Control Rooms, optimizing compute resources and ensuring cost avoidance during non-peak hours
• Smart SCTE-35 Insertion: Develop AI-assisted logic for the automated insertion of SCTE-35 markers, using computer vision or audio cue recognition to accurately place ad breaks or program boundaries without manual operator intervention
• Real-Time Audio Restoration: Implement and script AI audio processing tools into the live broadcast chain for dynamic noise suppression, vocal isolation, and automated leveling of field audio
• Automated Captioning & Metadata: Write integration scripts for AI speech-to-text models to generate highly accurate, low-latency closed captions and descriptive metadata for live VOD packaging

Skills

• Must be able to obtain a Public Trust (US Citizenship required)
• Strong programming skills in languages such as Python, Java, or C++
• Experience with video encoding and transcoding technologies (e.g., FFmpeg, x264, H.265)
• Knowledge of video streaming protocols (e.g., HTTP Live Streaming, DASH)
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and cloud-native technologies
• Excellent problem-solving and analytical skills
• Ability to work independently and as part of a team
• Bachelor's degree in computer science, Engineering, or a related field
• 2-4 years of experience in software development, with a focus on video workflows and automation
• Experience with various AI platforms and integration with video streaming technology
• Experience with video delivery networks (CDNs) and their APIs
• Knowledge of video analytics tools and metrics
• Experience with containerization technologies (e.g., Docker, Kubernetes)
• Experience with scripting languages (e.g., Bash, PowerShell)

Qualifications

Must Haves

• Must be able to obtain a Public Trust (US Citizenship required)
• Strong programming skills in languages such as Python, Java, or C++
• Experience with video encoding and transcoding technologies (e.g., FFmpeg, x264, H.265)
• Knowledge of video streaming protocols (e.g., HTTP Live Streaming, DASH)
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and cloud-native technologies
• Excellent problem-solving and analytical skills
• Ability to work independently and as part of a team
• Bachelor's degree in computer science, Engineering, or a related field
• 2-4 years of experience in software development, with a focus on video workflows and automation

Nice to Haves

• Experience with various AI platforms and integration with video streaming technology
• Experience with video delivery networks (CDNs) and their APIs
• Knowledge of video analytics tools and metrics
• Experience with containerization technologies (e.g., Docker, Kubernetes)
• Experience with scripting languages (e.g., Bash, PowerShell)

Benefits

• Competitive compensation
• Health and Wellness programs
• Income Protection
• Paid Leave
• Retirement