What are the responsibilities and job description for the Video Workflow Automation Engineer position at Leidos?
Job Details
Description
Leidos is seeking a Video Workflow Automation Engineer in support of the AEGIS Enterprise Video Services team. This role is responsible software development, with a focus on creating efficient and scalable video workflows. This role will design, develop, and maintain code that automates various aspects of video distribution, streamlining processes and accelerating delivery times.
This position requires the ability to work independently with general direction. Join us at AEGIS where the sky is NOT the limit!
Key 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.
Basic Qualifications:
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, Google Cloud Platform, Azure) and cloud-native technologies.
Excellent problem-solving and analytical skills.
Ability to work independently and as part of a team.
Preferred Qualifications:
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).
Education:
Bachelor degree in Computer Science, Engineering, or a related field.
3 years of experience in software development, with a focus on video workflows and automation.
Original Posting Date: 2025-01-09
While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range: Pay Range $85,150.00 - $153,925.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Leidos is seeking a Video Workflow Automation Engineer in support of the AEGIS Enterprise Video Services team. This role is responsible software development, with a focus on creating efficient and scalable video workflows. This role will design, develop, and maintain code that automates various aspects of video distribution, streamlining processes and accelerating delivery times.
This position requires the ability to work independently with general direction. Join us at AEGIS where the sky is NOT the limit!
Key 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.
Basic Qualifications:
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, Google Cloud Platform, Azure) and cloud-native technologies.
Excellent problem-solving and analytical skills.
Ability to work independently and as part of a team.
Preferred Qualifications:
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).
Education:
Bachelor degree in Computer Science, Engineering, or a related field.
3 years of experience in software development, with a focus on video workflows and automation.
Original Posting Date: 2025-01-09
While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range: Pay Range $85,150.00 - $153,925.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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.
Salary : $85,150 - $153,925
