Quick overview
SeniorityMid Senior
Work modeOn Site
LocationMalvern, PA, United States
Posted17 hours ago
DockerDynamoDBMicroservicesSpringSpring BootGitHTMLAWSAPI GatewayEncryptionOAuthOWASPCSSCDKCDNCloudFormationGitHub ActionsGitLab CIGraphQLJWTJavaJenkinsKafkaTerraformGenerative AIRESTJavaScriptTypeScriptAgileCI/CDIAM
Job description
Java AEM AWS Full Stack Developer-LIT
Location: Malvern, PA ( Day 1 Onsite)
Exp: 12+ years
W2 ( Authorized to work in US)
Position Overview:
- We are seeking an experienced AWS Full Stack Developer to design, build, and support secure, scalable, cloud-native applications. The role requires strong hands-on expertise in Java and Spring Boot backend development, modern web development using JavaScript/TypeScript and the Lit library, and deployment of distributed applications on AWS.
- The developer will work across frontend, API, microservices, data, and cloud layers, while integrating digital experiences with Adobe Experience Manager (AEM). The ideal candidate can independently translate requirements into production-ready solutions and collaborate effectively with architecture, UX, DevOps, content, security, and product teams.
Key Responsibilities:
- Design, develop, test, and maintain end-to-end web applications using Java, Spring Boot, JavaScript/TypeScript, HTML, CSS, and Lit-based web components.
- Build reusable, accessible, responsive, and standards-based UI components using Lit and native Web Components.
- Design and implement secure REST and event-driven APIs and integrate applications with enterprise and third-party systems.
- Develop cloud-native services on AWS using appropriate compute, storage, database, integration, security, and observability services.
- Create and support microservices deployed through containers and serverless patterns, based on solution needs.
- Integrate frontend applications and APIs with AEM-managed content, assets, components, and headless content services.
- Collaborate with AEM teams on Content Fragments, Experience Fragments, JSON/GraphQL delivery, client libraries, and component integration.
- Implement authentication, authorization, secure coding, secrets management, encryption, logging, monitoring, and auditability.
- Create automated unit, integration, API, UI, accessibility, and performance tests and resolve defects across the stack.
- Build and maintain CI/CD pipelines and infrastructure-as-code for repeatable deployments across environments.
- Monitor application health, troubleshoot production issues, perform root-cause analysis, and improve reliability and performance.
- Participate in solution design, code reviews, Agile ceremonies, technical documentation, estimation, and release planning.
- Use AI-assisted development tools responsibly to accelerate coding, testing, documentation, and developer productivity.
Required Skills:
- 8+ years of software engineering experience with strong hands-on full stack development capabilities.
- Strong Java experience with Spring Boot, Spring MVC, dependency injection, data access, validation, exception handling, and API development.
- Advanced JavaScript/TypeScript, HTML5, CSS3, responsive design, browser APIs, package management, and modern build tooling.
- Hands-on experience building reusable custom elements and Web Components using Lit, including properties, events, templating, styling, lifecycle methods, and component testing.
- Experience designing RESTful APIs and integrating synchronous and asynchronous services using JSON and standard API security practices.
- Hands-on AWS development experience with services such as Lambda, ECS or EKS, EC2, API Gateway, S3, CloudFront, RDS or DynamoDB, SQS or SNS, IAM, Secrets Manager, CloudWatch, and related services.
- Experience with Docker, container orchestration, serverless architectures, and cloud-native application design patterns.
- Experience with relational and NoSQL databases, data modeling, query optimization, transactions, and database migration practices.
- Experience implementing CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline, or comparable platforms.
- Experience using infrastructure-as-code tools such as Terraform, AWS CloudFormation, or AWS CDK.
- Knowledge of automated testing frameworks for backend, API, and frontend layers, including unit, integration, and end-to-end testing.
- Strong understanding of application security, OAuth 2.0/OpenID Connect, JWT, role-based access control, OWASP practices, and secure cloud configuration.
- Experience with observability using structured logging, metrics, dashboards, alerts, distributed tracing, and AWS CloudWatch.
- Working knowledge of Git-based development, pull requests, branching strategies, code reviews, and Agile delivery.
- AEM Knowledge
- Working knowledge of Adobe Experience Manager, preferably AEM as a Cloud Service, and how custom applications consume or integrate with AEM-managed experiences.
- Understanding of AEM Sites, Assets/DAM, templates, components, client libraries, author/publish environments, Dispatcher/CDN concepts, and caching considerations.
- Experience integrating applications with AEM through REST, GraphQL, Content Fragments, Experience Fragments, or other headless content patterns.
- Ability to collaborate with AEM developers on HTL/Sightly, Sling Models, OSGi services, component contracts, and frontend integration boundaries.
- Awareness of AEM Cloud Manager pipelines and deployment considerations is desirable.
- Preferred Skills
- AWS Developer Associate, AWS Solutions Architect Associate, or relevant professional-level AWS certification.
- Experience delivering applications in financial services or another highly regulated enterprise environment.
- Knowledge of accessibility standards, including WCAG and accessible Web Component design.
- Experience with GraphQL, Kafka or other event-streaming platforms, OpenTelemetry, and API contract-first development.
- Exposure to Adobe Experience Cloud products such as Adobe Analytics, Adobe Target, Adobe Experience Platform, or Adobe Tags/Web SDK.
- Experience with performance engineering, CDN and caching strategies, resilience patterns, disaster recovery, and cost optimization.
- Familiarity with AI coding assistants such as GitHub Copilot, Claude, or ChatGPT for development acceleration.
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