<div class="content-intro"><p><strong>What is Contentstack?</strong></p> <p>Contentstack is redefining how modern digital experiences are built and managed. As the pioneer of the Agentic Experience Platform (AXP), Contentstack brings together structured content and brand governance (Content Cloud), real-time customer data, omnichannel personalization (Data Cloud) and autonomous AI orchestration (Agent OS) into one unified system.</p> <p>While many organizations adopted headless CMS or standalone AI tools expecting transformation, they often found themselves managing disconnected systems and manual workflows. Contentstack helps enterprises move beyond that complexity by connecting content, data and AI in a way that makes digital experiences faster to launch, easier to manage and more adaptive in real time.</p> <p>Leading brands including Steve Madden, LG Electronics, Subaru of America, Dolce & Gabbana, ASICS, Decathlon, and Caesars Entertainment rely on Contentstack to reduce operational friction and deliver personalized, scalable digital experiences with confidence. The company is known for its customer-first culture and commitment to the communities it serves through the Contentstack Cares program.</p> <p>Learn more at <a class="c-link c-link--focus-visible" href="http://www.contentstack.com/" target="_blank" data-stringify-link="http://www.contentstack.com" data-sk="tooltip_parent">www.contentstack.com</a>.</p> <p><strong>Who Are We?</strong></p> <p><span style="font-weight: 400;">At Contentstack we are more than colleagues, we are a tribe. Our vision is to pursue equity among our communities, employees, partners, and customers. We are global-diverse yet close; distributed yet connected. We are dreamers and dreammakers who challenge the status quo. We do the right thing, even when no one is watching. We are curious trendspotters and brave trendsetters. Our mission is to make Contentstack indispensable for organizations to tell their stories and to connect with the people they care about through inspiring, modern experiences. We care deeply about our customers and the communities we serve. #OneTeamOneDream. Chalo, let’s go!</span></p></div><ul> <li> <p><strong>What you will be working on </strong></p> <p><strong>Assets Platform Development </strong></p> <ul> <li><strong>Design, build, and maintain backend services and APIs for managing assets</strong>, including organization structures, folders, files, and metadata, along with their create, update, and delete flows. </li> <li><strong>Implement and evolve access control and permission features</strong>, including sharing assets with users and teams and managing visibility settings. </li> <li><strong>Build features for secure and performant asset delivery</strong>, including CDN delivery, caching, and event driven integrations with other platform services. </li> <li><strong>Build and enhance image editing capabilities </strong>such as cropping, resizing, rotation, format conversion, compression, and on-the-fly image transformations for delivery. </li> <li><strong>Build and enhance video editing and processing capabilities </strong>such as trimming, transcoding, thumbnail generation, and optimized streaming and playback. </li> <li><strong>Explore and integrate AI-powered media features </strong>such as smart cropping, background removal, auto-tagging, and automated metadata generation for images and videos. </li> <li><strong>Build and improve asset usage tracking</strong>, so users can see where assets are referenced before changing or deleting them. </li> <li><strong>Contribute to upcoming roadmap areas </strong>around security, collaboration, and sharing. <strong>Roles & Responsibilities </strong></li> </ul> <p><strong>AI-Native Engineering Practice </strong></p> <ul> <li><strong>Use AI tools and agents as your primary development partners </strong>for designing, writing, refactoring, testing, and reviewing code, while staying fully accountable for the correctness, security, and maintainability of everything you ship.</li> <li><strong>Break down product requirements into technical designs and implementation plans </strong>with AI assistance, and validate them against the existing architecture and constraints. </li> <li><strong>Build and maintain reusable prompts, agent workflows, and project context </strong>so the rest of the team can adopt the same AI SDLC practices. </li> <li><strong>Use AI agents for multi-step work </strong>such as large refactors, API changes, test generation, and bug triage. </li> <li><strong>Measure and share the impact of AI-driven workflows </strong>on cycle time, quality, and defect rates, and continuously improve the team's practices. </li> <li><strong>Follow company policies on data privacy and security </strong>when using AI tools, especially around customer data, secrets, and asset content. </li> </ul> <strong>Quality, Reliability, and Operations </strong> <ul> <li><strong>Own quality end to end</strong>, with no separate QA hand-off. This includes writing and maintaining automated tests (unit, integration, and end-to-end) with AI assistance, covering core flows such as upload, retrieval, editing, delivery, and per