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Ssai Jobs (NOW HIRING)

Allen Media Group

Video Infrastructure Engineer

Preferred : • Familiarity with ad-insertion architectures, including server-side ad insertion (SSAI) with tools like AWS MediaTailor, and client-side ad insertion (CSAI) protocols (SCTE-35, VAST ...

Socket.dev

Technical Lead, Media CDN

Cambridge, MA · On-site

$207 - $301/hr

... Insertion (SSAI). * 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware ...

Qvest US

Senior Solution Architect

Manhattan, NY · On-site

DRM, HLS/DASH packaging, CDNs, SSAI/DAI. • Experience with hybrid cloud and cloud-native architectures (especially AWS or Azure) for media pipelines. • Familiarity with media metadata schemas (e ...

Roku

Live Operations Associate

Austin, TX · On-site +1

$80K - $90K/yr

A strong understanding of DAI/ SSAI / SCTE35 / SCTE224 Tech is a plus. * Experience working with cloud based live streaming technologies is a plus. * Understanding of DRM and other content ...

Roku

Live Operations Associate

Stamford, CT · On-site +1

$80K - $90K/yr

A strong understanding of DAI/ SSAI / SCTE35 / SCTE224 Tech is a plus. * Experience working with cloud based live streaming technologies is a plus. * Understanding of DRM and other content ...

Qvest US

Senior Solution Architect

Manhattan, NY · On-site

DRM, HLS/DASH packaging, CDNs, SSAI/DAI. • Experience with hybrid cloud and cloud-native architectures (especially AWS or Azure) for media pipelines. • Familiarity with media metadata schemas (e ...

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Ssai information

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How much do ssai jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for ssai in the United States is $27.44, according to ZipRecruiter salary data. Most workers in this role earn between $22.84 and $28.37 per hour, depending on experience, location, and employer.

What is an SSAI professional?

SSAI stands for Server-Side Ad Insertion. Professionals in SSAI work with technology that enables ads to be dynamically inserted into video streams on the server side, rather than on the user's device. Their main responsibilities include integrating SSAI solutions with video delivery platforms, ensuring seamless ad playback, and optimizing ad targeting and tracking. This role is essential for broadcasters and streaming services who want to deliver personalized ads without disrupting the viewer experience.

What skills and qualifications are needed to thrive as an SSAI engineer?

To thrive as a Server-Side Ad Insertion (SSAI) Engineer, you need strong knowledge of streaming media technologies, HTTP-based video delivery (e.g., HLS, DASH), and relevant programming languages like Python or JavaScript, often supported by a degree in computer science or related experience. Familiarity with ad server platforms, manifest manipulation tools, cloud services (AWS, GCP), and digital advertising standards such as VAST or SCTE-35 is typically required. Problem-solving abilities, attention to detail, and effective communication are key soft skills for collaborating across development, operations, and ad sales teams. These skills ensure seamless ad delivery, high-quality viewing experiences, and effective monetization for streaming platforms.

What are common challenges faced by SSAI engineers, and how can they be addressed?

SSAI engineers often encounter challenges related to ensuring seamless ad stitching, minimizing latency, and maintaining a high-quality viewer experience across various devices and platforms. Debugging ad insertion issues can be complex due to the need to handle multiple ad formats, dynamic content, and frequent integration with third-party ad servers. To address these, it's important to develop strong troubleshooting skills, stay updated with industry standards like SCTE-35 and HLS, and collaborate closely with QA teams and ad operations specialists to monitor performance and quickly resolve issues.

What is the difference between Ssai vs Data Analyst?

AspectSsaiData Analyst
Required CredentialsCertifications in cloud platforms, data management, or analytics toolsDegree in statistics, mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentPrimarily cloud-based, working with data pipelines and cloud servicesOffice or remote, working with datasets, spreadsheets, and visualization tools
Employer & Industry UsageTech companies, cloud service providers, data-driven organizationsBusiness, finance, healthcare, and marketing sectors

While Ssai focuses on managing and optimizing data within cloud environments, Data Analysts interpret data to provide insights. Both roles require analytical skills and familiarity with data tools, but Ssai emphasizes cloud data infrastructure, whereas Data Analysts focus on data interpretation and reporting.

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Ssai jobs near you
Infographic showing various Ssai job openings in the United States as of August 2026, with employment types broken down into 98% Full Time, and 2% Temporary. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $57,077 per year, or $27.4 per hour.

Airborne Scientific Data Support Specialist

Science Systems and Applications, Inc

Lanham, MD • On-site

Other

Posted 2 days ago

New

Job description

Science Systems and Applications, Inc. (SSAI) is seeking an Airborne Scientific Data Support Specialist to assist with airborne measurement campaigns, data processing, and data management workflows in support of NASA Earth science related to wildfires.
Key Responsibilities:
  • Process and quality-check low-level airborne science data.
  • Integrate data from multiple airborne sensors.
  • Generate science data products for researchers and the user community.
  • Calibrate, validate, and format airborne sensor data.
  • Develop and maintain data processing workflows.
  • Troubleshoot data processing and quality issues.
  • Automate data processing using scripts and tools.
  • Document processing procedures and metadata.
  • Archive and distribute science datasets following set standards.
  • Support scientists with data analysis and product delivery.

Required Qualifications:
  • Master's Degree (M.S.) in Atmospheric Science, Earth Science, Computer Science or other related discipline and a minimum of 6 years in the field or in a related area, or equivalent combination of education and experience.
  • Experience managing scientific data workflows, including data ingest, quality control, and delivery pipelines.
  • Proficiency in scientific programming languages such as Python, IDL, MATLAB, or similar tools is required for data processing and analysis tasks.
  • Experience developing data visualizations to communicate campaign results to scientific and stakeholder audiences.
  • Familiarity with airborne remote sensing instruments, field campaign data, or multi-sensor data integration is required.
  • The candidate must have a bachelor's degree in atmospheric science, Earth science, computer science, or a related discipline.
  • U.S. Citizenship or Permanent Residency required.

Desired Qualifications:
  • Experience with NASA airborne science campaigns is highly desirable.
  • Familiarity with cloud-based data management platforms or NASA data archives is a plus.

Note: The actual salary offered will be determined based on factors including experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications, and other job-related criteria deemed relevant to the position.
EEO/AA Veterans and Individuals with Disabilities
Physical Requirements: While performing the duties of this job, the employee is regularly required to stand, walk, and use hands to touch, handle or feel objects, tools or controls. The employee frequently is required to talk and hear and occasionally required to reach with hands and arms and stoop, kneel, crouch, or crawl. Must regularly lift and/or move up to 10 pounds, and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, peripheral vision, depth perception and the ability to adjust focus

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