Senior Full Stack Engineer - AEM

Anchora – Content Practice
We build AEM with AI in the loop from the first line of the ticket to the last line of the release note. This is not a role for someone open to trying AI tools - it is for someone who already works this way, delivers more because of it, & can pull an experienced team up to the same level. You will own AEM builds end-to-end, frontend to backend, headless to hosted, for clients who expect senior judgement rather than a pair of hands. If you want your opinion on architecture to actually shape the outcome, keep reading.
The Non-Negotiable: You Already Work AI-First
Anchora sells AI, Data, MarTech & Content work - we cannot credibly sell AI-accelerated delivery if our own engineers still build the old way. At senior level you set the standard rather than follow it.
Agentic tooling is your default - Claude, Claude Code, GitHub Copilot, Cursor or equivalent, every day, as your primary way of working - not occasional autocomplete.
First draft is generated, final draft is yours - code, tests, docs & analysis start as AI output; you own the review that makes them production-grade.
You set agents up to succeed - repository context & rules files, reusable prompts & skills, MCP servers, sub-agents, & a plan agreed before the build starts.
You use AI well beyond code - solution notes, test plans, release notes, data mapping, migration scripts, legacy code comprehension, ticket breakdown & client summaries.
You can prove the difference - specific work where AI changed the outcome, & work where you deliberately chose not to use it.
You can teach it - lifting the AI maturity of engineers around you through code review, pairing & the standards you help write.
If you have not yet worked this way, this is not the role for you - & we would rather say that here than at interview.
Tech Stack at a Glance
AI Toolchain: Claude & Claude Code, GitHub Copilot, Cursor or equivalent; agentic workflows, MCP servers, context & rules files, prompt & skill libraries
AI in the Product: Schema.org structured data, llms.txt & Generative Engine Optimisation (GEO), AEM Content Hub AI & Generative Variations
Content Platform: AEM Sites, Assets & Content Hub, AEM Headless (Content Fragments, GraphQL), Edge Delivery Services
Backend: Java, Spring, OSGi, Sling, JCR, REST APIs
Frontend: React JS (or equivalent), HTL/Sightly, modern component architecture
Platform: AEM as a Cloud Service (AEMaaCS), Cloud Manager, Dispatcher, CDN
Quality: Playwright, Cypress, Selenium, security & penetration testing
MarTech Integration: Adobe Analytics, CRM platforms
Ways of Working: Agile, Scrum, AI-accelerated development
Role Overview
We are looking for a senior full stack engineer who moves confidently across the AEM stack - from component-level frontend through backend integration & cloud release - & takes genuine ownership of delivery outcomes, with AI amplifying every part of it. You will work directly with architects & client stakeholders across design, build, test & go-live. This is a hands-on role for someone who wants to build, not just advise.
Is This You?
You have shipped AEM builds that clients still talk about – for the right reasons
Your working day already starts with an agent & a plan, & going back would feel slow
You have strong opinions about how AI coding tools should be used well – not just that they should
You would rather flag a risk on day one than explain it in a retro
You can talk architecture with an architect & business with a client in the same afternoon
You are the person other engineers ask "how did you do that so fast?"
Key Responsibilities
Deliver every stage AI-first - analysis, design, code, tests, docs, release notes - with your engineering judgement as the quality gate
Set up & maintain the context that makes AI effective on client codebases: rules files, reusable prompts & skills, MCP integrations & sub-agent patterns
Apply AI where it pays most - legacy code comprehension, migration scripts, test generation, regression triage & documentation debt
Review AI-generated output with the same rigour as human code; you are accountable for what you ship regardless of what wrote it
Design & build AEM Sites components, templates & Sling Models across authoring & delivery tiers
Configure & extend AEM Assets & Content Hub, including DAM workflows & metadata schemas
Develop Java backend services integrating AEM with CRM & other enterprise systems
Build componentised frontends in React JS or equivalent, applying design system & WCAG 2.1 AA standards
Deliver AEM Headless solutions with Content Fragments & GraphQL, using Schema.org markup for search & AI discoverability
Implement & govern Adobe Analytics, including data layer design & tracking accuracy
Own delivery performance - Dispatcher & CDN caching, cache invalidation, page weight & Core Web Vitals against agreed budgets
Deploy within AEMaaCS, including Cloud Manager pipelines, Dispatcher configuration & cloud-native release practices
Maintain strong version control discipline - branching strategy, small reviewable PRs & meaningful review of human & AI changes
Build automated test suites with Playwright, Cypress or Selenium to protect release quality
Support security & PEN testing cycles & remediate findings within agreed timeframes
Own features end-to-end, from technical design through deployment & hypercare
Engage clients in a consulting capacity, translating business requirements into sound technical solutions
Participate fully in Agile ceremonies & contribute to continuous improvement
Mentor engineers & contribute to Anchora's AEM standards, reusable patterns & AI playbooks
Required Skills & Experience
AI-First Delivery (the primary filter): Current, daily use of AI & agentic coding tools across code, tests, docs & analysis; ability to structure context, rules & reusable prompts for a real codebase; sound judgement on where AI helps & where it must not be trusted. You will be asked for specific examples & to work this way in a live exercise.
Experience: 6–8+ years in full stack engineering, with at least 4 years on Adobe Experience Manager (AEM)
AEM Platform Engineering: Sites components & templates – Sling Models, HTL/Sightly, client libraries, OSGi services, workflow models & JCR content modelling
Assets, Content Hub & Headless: DAM workflows & metadata governance; Content Fragments & GraphQL; structured content with Schema.org markup
Backend & Integration: Strong core Java (8+), Spring & RESTful API design; integration with CRM (Salesforce, Dynamics) & Adobe Analytics
Frontend & Accessibility: React JS or equivalent (Angular, Vue); governed component design systems; WCAG 2.1 AA
Cloud & Infrastructure: AEMaaCS, Cloud Manager pipelines, Dispatcher, CDN, DNS & environment topology across non-prod & prod
Quality & Security: Playwright, Cypress or Selenium for end-to-end & regression coverage; security testing & PEN test remediation
Delivery & Agile: End-to-end delivery ownership within Agile teams
Consulting & Certification: Client-facing consulting or agency experience; excellent communication with technical & non-technical stakeholders; at least one current Adobe Certification (e.g. AEM Sites Developer)
Nice to Have
AI Tooling You Have Built: Custom agents, MCP servers, skills, evals or internal automations for your team - the strongest possible signal for this role
Edge Delivery Services (EDS)
AEM Forms, including adaptive forms & submission integration
Multi Site Manager (MSM), Live Copy & localisation workflows
Node.js & microservices
Adobe Target, AJO, CJA or other Adobe Experience Platform applications
Adobe Workfront & Creative Cloud
Other CMS platforms – Sitecore, Drupal, Contentful, Contentstack
Salesforce Commerce Cloud or Salesforce CRM
Don't Tick Every Box? Apply Anyway
If you meet most of the Must Haves & can show how you learn quickly, we want your application. The one requirement we do not flex on is AI-first working - everything else is negotiable.
Culture Fit
Technical skill gets you shortlisted; culture fit gets you hired. We want someone who takes ownership, communicates proactively & enjoys working closely with clients & teammates – assessed as a core requirement, not an afterthought.
How to Apply
Submit your CV & a cover letter via this portal. Your application must:
Address the Requirements - show in your CV & cover letter how you meet each requirement above, or the transferable skills you bring where you don't.
Include a Customised Cover Letter - applications without one will not be considered. It should cover:
How you actually work with AI - which

Work arrangement
Yes