Do you have engineers with streaming video experience?

Yes. We've placed engineers with HLS/DASH experience, transcoding pipeline development (FFmpeg, AWS MediaConvert), and Mux or Cloudflare Stream integrations. This is a real capability in our network.

Can you staff for ad tech development?

We can. SSAI, VAST/VPAID, and header bidding experience is in our talent pool, though it's a narrower segment. Tell us specifically what you're building: programmatic, direct, or server-side insertion: and we'll be honest about what we can find.

What about live streaming infrastructure?

Live streaming at scale is one of the harder infrastructure problems in media. We've placed engineers on platforms that handle live events. Ingest, transcoding, packaging, and CDN at low latency are all distinct problems: tell us where your bottleneck is.

Media & Entertainment

Engineering for audiences that don't wait.

Streaming platforms, content management systems, ad tech, and audience data infrastructure: built by engineers who know that buffering is not an option.

Build Your Team How It Works

What media engineering is actually hard

Media has infrastructure problems that look like product problems.

Video delivery is expensive to get wrong

Transcoding costs, CDN strategy, adaptive bitrate streaming, and DRM all need to be right before you have real user traffic. Getting it wrong at scale is very expensive to fix.

Concurrency requirements are spiky and unpredictable

Live events: sports, news, product launches: drive traffic spikes that dwarf normal usage. Infrastructure that handles 1,000 concurrent viewers often can't handle 100,000 without a redesign.

Ad tech has its own complexity layer

VAST, VPAID, header bidding, and programmatic integrations are a separate engineering domain. The latency and viewability requirements of ad serving are in direct tension with user experience.

Rights management is always more complex than expected

Geographic restrictions, windowing rules, licensing periods, and platform-specific rights create a combinatorial explosion of states that content management systems need to handle correctly.

What we build

Specific work for media engineering teams.

5 use cases

Streaming platform infrastructure

HLS and DASH delivery, adaptive bitrate encoding, DRM (Widevine, FairPlay, PlayReady), and CDN configuration. Engineers who've built streaming systems that stay up during live events.

CMS and content operations tooling

Headless CMS implementations (Contentful, Sanity, Strapi), editorial workflow tools, and content APIs optimized for high-volume publishing.

Ad tech and monetization infrastructure

SSAI (server-side ad insertion), VAST/VPAID implementation, header bidding, and ad performance reporting. Engineers who've worked on the revenue side of media products.

Audience data and personalization

Behavioral event tracking, recommendation engines, content affinity modeling, and audience segmentation. Engineers who understand the difference between first-party and third-party data strategy.

Analytics and content performance

Viewership analytics, engagement scoring, and A/B testing infrastructure for media products. Built to answer editorial and business questions, not just technical ones.

AI in this industry

AI-generated content, automated transcription and captioning, and personalized content recommendations are moving from experiments to core product features in media. The engineering challenge is less about the model and more about the content pipeline: metadata quality, rights-aware recommendation, and the editorial tooling needed to manage AI-assisted content at scale.

Common tech stack