Platform Architect (Java Full-Stack / Python)

Quick Facts

• Role: Platform Architect (Java Full-Stack / Python)

• Work mode: Hybrid (3 days onsite)

• Location: Alpharetta, GA

• Interview: F2F required

Description

You will help architect scalable, reliable platform solutions while contributing hands-on development across Java/Python back-end services. The role covers designing APIs and distributed/asynchronous integrations, building modern UIs with React/Angular/TypeScript, and owning production platform services through operational support. You will also develop LLM-enabled applications, AI agents, and retrieval-based workflows, and deploy solutions using containers, Kubernetes, and CI/CD.

Responsibilities

• Conduct architectural reviews focusing on scalability and reliability

• Build automation agents and apply spec-driven design / AI SDLC practices

• Develop front-end user interfaces using React or Angular and TypeScript

• Design APIs, distributed systems, asynchronous integrations, and data access (relational/NoSQL)

• Develop LLM-enabled applications and AI-powered automation workflows

• Implement containerized deployments using Kubernetes (or equivalent), CI/CD, and infrastructure/configuration as code

• Apply secure-by-design practices across authentication, authorization, secrets management, and data protection

• Diagnose performance and reliability issues across applications, databases, networks, and dependencies

• Communicate technical decisions and trade-offs with diverse stakeholders

Requirements

• Strong hands-on software development experience using Java, Python, or comparable backend technologies; Java/Python/RDBMS experience is mandatory

• Architectural review experience to assess scalability and reliability

• Automation experience building agents and spec-driven design (AI SDLC) experience

• UI development experience with React, Angular, TypeScript, or an equivalent modern framework

• Demonstrated ownership of production applications or platform services from design through operational support

• Experience designing APIs, distributed systems, asynchronous integrations, and relational or NoSQL data access

• Practical experience developing LLM-enabled applications, AI agents, retrieval workflows, or AI-powered automation

• Experience with containers and Kubernetes (or equivalent), CI/CD, and infrastructure/configuration as code

• Strong understanding of authentication, authorization, secrets management, secure coding, and data protection

• Ability to diagnose performance or reliability issues across application, database, network, and dependencies

• Strong collaboration skills and ability to explain technical decisions and trade-offs to diverse stakeholders

Benefits

Not specified in the provided posting.