Embedded QA Pod
Dedicated QA team leveraging AI agents to deliver up to 1000 automated tests so regressions stop reaching production.
VIEWS 30D 09 scopes · ranked by best match
Dedicated QA team leveraging AI agents to deliver up to 1000 automated tests so regressions stop reaching production.
VIEWS 30D 0Part-time CTO or engineering-management leadership as a subscription: architecture and stack decisions, team and hiring support, and board-ready reporting — from leaders who have built production systems.
VIEWS 30D 0Embedded product design capacity running research → UI → handoff as a continuous pipeline: user research, interface design, design system stewardship, and developer-ready specifications, inside your rituals and tools.
VIEWS 30D 0Ongoing e-commerce engineering: conversion work, integration build-out, and peak-season readiness on your storefront — a standing pod that treats load time and checkout friction as revenue problems.
VIEWS 30D 0An ongoing pod building out AI agents and workflow automations across your SDLC and operations: an automation backlog delivered agent by agent, behind enterprise governance, with ROI measured on every rollout.
VIEWS 30D 0Ongoing data engineering and analytics capacity working a metrics backlog: pipeline build and operations, self-service BI, AI-powered data quality, and ML-ready infrastructure — delivered as a standing pod.
VIEWS 30D 0An ongoing pod that builds and runs your internal developer platform: infrastructure as code, golden paths for service delivery, and SRE practices — platform engineering as a capability, not a project.
VIEWS 30D 0An ongoing squad executing a monolith-to-modern migration in production: strangler-fig replacement, domain-driven decomposition, and zero-downtime cutovers — with migration health tracked in real time.
VIEWS 30D 0An ongoing full-stack squad that ships roadmap features weekly: dedicated engineers with shift-left QA, AI-assisted code review, and real-time DORA metrics showing exactly where the bottlenecks are.
VIEWS 30D 0