Lead Java Fullstack Developer

Responsibilities Lead end-to-end design, development, and delivery of full stack applications built on React/Next.js (frontend), Spring Boot/Java or Node.js (backend), deployed on AWS Architect and implement cloud-native, event-driven solutions using Lambda, ECS, API Gateway, DynamoDB, S3, EventBridge, and IAM Own complete project delivery across one or more client engagements simultaneously — from requirements through production Develop and maintain technical documentation including architecture decision records (ADRs), runbooks, and integration specs in Confluence Translate ambiguous business requirements into system designs — challenge the spec, identify gaps, propose better solutions Lead and mentor a team of engineers; participate in daily agile and scrum processes Drive architecture decisions in collaboration with principal architects; establish and enforce cross-project technical standards Manage vendor and third-party integrations end-to-end Set up and maintain sandbox environments and testing automation pipelines Interact directly with senior client stakeholders — present architecture, drive alignment, own the technical relationship Required Skills 8+ years of overall experience; 5+ years building production systems on AWS Hands-on full stack development — React/Next.js on the frontend, Spring Boot (Java) or Node.js on the backend Deep AWS expertise: Lambda, ECS, DynamoDB, API Gateway, S3, EventBridge, IAM, serverless and event-driven architecture DynamoDB data modeling — partition key design, GSI strategy, single-table vs multi-table tradeoffs, capacity planning Experience writing and maintaining technical documentation — ADRs, architecture docs, runbooks — in Confluence or equivalent Proven ability to lead project delivery, manage engineers, and operate autonomously across complex engagements Strong written and verbal communication skills; comfortable presenting to VP and C-suite audiences Good to Have Amazon Connect, Lex, Polly or equivalent contact center / telephony experience Terraform or CloudFormation for infrastructure as code PostgreSQL + JSONB or NoSQL modeling for application consolidation projects QuickSight or similar BI tooling for reporting pipelines AI-first mindset — familiarity with MCP, Claude Code, Kiro, or agentic tooling