Live opening · Posted 17 hours ago

Full Stack Engineer - AEM

Anchora · India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 17 hours ago
CompanyAnchora
LocationIndia (Remote)
Work modeYes
SkillsJavaScript, React, Java, Golang, Angular, CI/CD, Selenium
SourceLinkedin
ListedPosted 17 hours ago

About the role

Description supplied by the original job listing.

Anchora – Content Practice | AI-First Delivery
We build AEM with AI in the loop - every ticket, every day. This role is for an engineer who already works that way & wants to build real depth across the AEM stack alongside senior engineers & architects. If AI tooling is still something you mean to get around to, this is not the one. If it is already how you work, & you want to get much better at it on real client engagements, keep reading.
Timezone Coverage: Supports Australia & New Zealand (ANZ) business hours
The Non-Negotiable: You Already Work AI-First
This is the part of the role we will not compromise on. Anchora sells AI, Data, MarTech & Content work - we cannot credibly sell AI-accelerated delivery to our clients if our own engineers still build the old way. We are not asking you to be an expert in it. We are asking that it is already how you work, & that you are actively getting better at it.
AI tooling is part of your normal day - you use Claude, Claude Code, GitHub Copilot, Cursor or an equivalent as a matter of course - not occasionally, & not just for autocomplete.
You use it beyond code - writing & maintaining tests, understanding unfamiliar codebases, drafting documentation & tickets, & speeding up analysis.
You review before you commit - everything AI produces is checked, tested & understood before it goes near a pull request. You can explain every line you commit.
You are getting better at it deliberately - you know what works for you now that did not six months ago, & why.
You can show us - you will be asked for specific examples in your application, & to work this way in a live exercise.
Senior engineers here will help you sharpen your judgement on where to rely on AI & where not to - but you need to arrive with the habit already formed.
Tech Stack at a Glance
AI Toolchain: Claude & Claude Code, GitHub Copilot, Cursor or equivalent; project context & rules files, reusable prompts, growing into agentic workflows
Content Platform: AEM Sites, AEM Assets & DAM
Backend: Java, Spring, OSGi, Sling, REST APIs
Frontend: React JS (or equivalent), HTL/Sightly, component-based development
Platform: AEM as a Cloud Service (AEMaaCS) – exposure, growing into ownership
Engineering Practice: Git branching & pull requests, code review, Maven builds, CI/CD pipelines & quality gates
Quality Engineering: Playwright, Cypress, or Selenium
Ways of Working: Agile, Scrum ceremonies, AI-first delivery end to end
About Anchora
Anchora is a boutique Adobe-specialist & MarTech & AI consultancy, delivering Adobe Experience Manager (AEM), Data, & Digital Experience engagements for clients across financial services, government, tourism, retail, & beverages. Our Content Practice covers AEM Sites, AEM Assets & Content Hub, AEM Forms, & Edge Delivery Services (EDS), & we pride ourselves on senior, hands-on delivery rather than layered bench teams.
Role Overview
We are looking for a full stack engineer who wants to build real depth across the AEM stack - from frontend components through to backend services - while working closely with senior engineers & architects, & using AI to cover ground faster than a traditional learning curve allows. You will take ownership of features within a sprint, contribute to testing & quality, & grow into progressively more independent delivery as your experience builds.
Is This You?
You've built components & features in AEM & want to go deeper
You already lean on AI tooling daily, & you want to get sharper about when not to
You like learning from senior engineers & architects, not just figuring it out alone
You take feedback well & turn it into better code the next time
You would rather ask early than quietly get stuck
Key Responsibilities
Use AI coding tools as your default way of working across code, tests & documentation, with senior engineers helping you sharpen judgement on where to rely on them
Use AI to get productive quickly on unfamiliar codebases & client domains, & to keep tests & documentation current rather than deferred
Review, run & test everything AI produces before raising a pull request - you own the code you commit
Bring what you learn back to the team: prompts, context files & patterns that made a real difference
Build & maintain AEM Sites components, templates, & Sling Models under the guidance of senior engineers
Configure & support AEM Assets, including Digital Asset Management (DAM) workflows
Develop backend services in Java, contributing to integration work with enterprise systems
Build componentised frontend experiences using React JS or an equivalent framework, applying design system & accessibility (WCAG 2.1 AA) guidance
Work to the team's Git branching & pull request standards, & take part in code review as both author & reviewer
Get your work through the CI/CD pipeline - resolve build failures, quality gate issues & failing tests rather than handing them on
Write & maintain automated tests using Playwright, Cypress, or Selenium
Support security testing activities & help remediate findings as directed
Take ownership of features within a sprint, escalating design questions to senior engineers or architects
Participate fully in Agile ceremonies – sprint planning, daily stand-ups, retrospectives, & showcases
Required Skills & Experience
AI-First Delivery (the primary filter): Current, hands-on use of AI coding assistants (Claude / Claude Code, GitHub Copilot, Cursor or equivalent) as part of your normal working day, across code, tests & documentation; ability to explain & defend AI-generated code you commit. You will be asked for specific examples in your application & to work this way in a live exercise.
Experience: 4–6+ years in full stack software engineering, with at least 2 years working on Adobe Experience Manager (AEM)
AEM Platform Engineering: AEM Sites component & template development; Sling Models, HTL/Sightly, client libraries, & OSGi services
Assets & DAM: Hands-on experience with AEM Assets, including Digital Asset Management (DAM) workflows & metadata basics
Backend Development: Strong core Java (Java 8+), Spring, & RESTful API design
Modern Frontend & Accessibility: React JS or an equivalent modern frontend framework (Angular, Vue); component-driven development; working awareness of WCAG 2.1 AA accessibility standards
Quality Engineering: Experience with Playwright, Cypress, or Selenium for automated testing
Delivery & Agile: Experience working in Agile teams, including active participation in Scrum ceremonies – sprint planning, stand-ups, retrospectives, & showcases
Communication: Good written & verbal communication skills, & comfortable working closely with senior engineers, architects, & cross-functional teams
Nice to Have
AI Tooling Beyond the Basics: Context & rules files, reusable prompt or skill libraries, MCP servers, custom agents, or automations you have built for yourself or your team
AEM Headless & Content Discoverability: Content Fragments & GraphQL-based delivery; structured content modelling; awareness of llms.txt & Generative Engine Optimisation (GEO)
Edge Delivery Services: Exposure to Adobe Edge Delivery Services (EDS) as an alternative authoring & delivery model
Cloud, Hosting & Infrastructure: Exposure to AEM as a Cloud Service (AEMaaCS), Cloud Manager, Dispatcher, or CDN configuration
Design Systems & Security: Component-based design systems & governance; exposure to security or penetration (PEN) testing practices
Backend & CRM Integration: Exposure to integrating AEM with backend CRM platforms such as Salesforce or Dynamics, & with Adobe Analytics
Adobe Certification: An Adobe Certification (e.g. AEM Sites Developer) is well regarded, though not required to apply
Consulting Exposure: Prior experience in a client-facing consulting or agency environment
Node JS & Microservices: Experience with Node.js or exposure to microservices architecture
Other CMS & MarTech Platforms: Exposure to other content management systems (Sitecore, Drupal, headless CMS), Salesforce Commerce Cloud, Salesforce CRM, Adobe Target, AJO, CJA, Adobe Workfront, or Creative Cloud
Don't Tick Every Box? Apply Anyway
We would rather hear from someone with the right attitude & a genuine appetite to learn than lose a great engineer over a skills checklist. If you meet most of the Must Have requirements & can show us how you learn & upskill quickly, we want your a

Work arrangement
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