Platform Architect (Java Full-Stack/Python)

Quick Facts

• Hands-on architecture and development for production platform services and applications
• Focus on Java/Python backend, modern UI frameworks, distributed systems, automation/agents, and LLM-enabled workflows

Description

You will drive architectural reviews and help build scalable, reliable platform solutions end-to-end—from design through operational support. The role combines Java/Python backend engineering with modern front-end development and designs APIs, distributed systems, asynchronous integrations, and AI/LLM-enabled automation. You will also ensure containerized delivery with CI/CD, strong security practices, and production-grade troubleshooting.

Responsibilities

• Perform architectural reviews for scalability and reliability
• Design and build APIs, distributed systems, and asynchronous integrations
• Develop and integrate AI agents and LLM-enabled retrieval/automation workflows
• Build/maintain production platform services with ownership from design to operations
• Develop user interfaces using React or Angular with TypeScript (or equivalent)
• Support containerized environments and CI/CD pipelines using infrastructure/configuration as code
• Apply security best practices across authentication, authorization, secrets management, and secure coding
• Diagnose and resolve performance and reliability issues across application, database, network, and dependencies
• Communicate technical decisions and trade-offs to diverse stakeholders

Requirements

• Strong hands-on software development experience using Java and/or Python
• Java/Python and RDBMS experience (mandatory)
• Architectural review experience covering scalability and reliability
• Automation experience building agents and Spec Driven Design (AISDLC)
• UI development experience with React or Angular plus TypeScript (or equivalent modern framework)
• Proven ownership of production applications/platform services from design through operational support
• Experience designing APIs, distributed systems, asynchronous integrations, and relational/NoSQL data access
• Practical experience with LLM-enabled applications, AI agents, retrieval workflows, and AI-powered automation
• Experience with containers and Kubernetes (or equivalent), plus CI/CD and infrastructure/configuration as code
• Strong knowledge of authentication, authorization, secrets management, secure coding, and data protection
• Ability to troubleshoot performance or reliability issues in applications, databases, networks, and dependencies
• Strong collaboration skills and ability to explain technical trade-offs to stakeholders

Benefits

Not specified in the provided posting.