Your resume and cover letter, tailored to exactly what they’re hiring for.
Get past ATS filters
Job summary
An established industry player is seeking a seasoned Architect with over 15 years of experience to lead innovative projects. This role demands deep expertise in Java Spring and NodeJS, with hands-on experience in modern frameworks and architectures. The ideal candidate will excel in providing technical leadership, designing robust systems, and integrating cutting-edge solutions. Join a forward-thinking company that values creativity and technical excellence, where your contributions will shape the future of technology. If you are passionate about emerging technologies and thrive in a dynamic environment, this opportunity is perfect for you.
Qualifications
15+ years of experience, with 5-8 years as an Architect.
Deep knowledge of Java Spring and NodeJS for technical leadership.
Responsibilities
Provide technical leadership and architecture design.
Propose new ideas with an understanding of emerging technologies.
Skills
Java Spring
NodeJS
React
GraphQL
microservices
application security
SQL
NoSQL
Docker
Kubernetes
Tools
AWS
Azure
GCP
Webpack
Babel
Job description
AI Engineers - Agentic Development & AI-Augmented Engineering
Responsibilities
Design and implement "loop engineering" workflows using Claude Code and similar tools, defining how agents plan, execute, test, and iterate on code changes
Architect Model Context Protocol (MCP) servers and tool schemas that are legible and safe for LLM agents to use
Define human-in-the-loop checkpoints, autonomy boundaries, and rollback strategies for agent-driven changes
Build evaluation harnesses and observability practices to measure agent output quality and catch regressions
Design and review microservice and microfrontend architecture using C4 diagrams and Domain-Driven Design principles
Drive test-driven development practices across teams, including contract testing between services
Own technical decisions across our Java microservices, Node.js services, React/microfrontend UI, and Python tooling
Design REST APIs and headless component architectures that support both human developers and AI agents
Establish CI/CD practices that safely incorporate agent-authored pull requests
Set and enforce security practices for agentic workflows, including prompt injection risk and tool-permission boundaries
Mentor senior and staff engineers on effective agent-assisted development
Write RFCs and design docs that translate ambiguous problems into actionable technical plans, documents that both humans and agents can act on
Required Skills & Experience Agentic Development
Hands-on experience with Claude Code or comparable agentic coding tools in production settings
Strong understanding of MCP (Model Context Protocol) building and consuming MCP servers
Context engineering: managing context windows, prompt caching, and information architecture for long-running agent sessions
Awareness of prompt injection and agent-specific security risks
Architecture & Backend
Deep experience with Java microservices
Strong REST API design skills
C4 model architecture documentation and system design
Domain-Driven Design principles
Node.js and Python for tooling, services, and automation
MongoDB schema design, performance, and scaling.
Frontend
ReactJS, headless component architecture, and microfrontend design patterns
Testing & Quality
Test-driven development (TDD) as a core practice, not an afterthought
Playwright for end-to-end testing
Contract testing (e.g., Pact) across microservice boundaries