Lead Java Architect for AI & Cloud-Native Apps

Cenicor Technologies Inc.; Dallas (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Cetera is seeking an experienced Lead Java Developer to architect and build AI-focused software across web apps, APIs, and services. You will guide architecture, design patterns, and cloud-native delivery while collaborating with product, DevOps, and QA teams.

You will lead AI-driven deployment, scaling, and performance optimization using Kubernetes and AWS services, ensuring reliability and cost efficiency in a fast-paced enterprise environment.

Qualifications

• 8+ years of hands-on software development with a track record of guiding technical teams.
• Deep knowledge of core Java, modern frameworks, cloud infrastructure, and design patterns.
• Experience with AWS services (S3, Lambda, EventBridge, API Gateway) and Java Spring Boot; Python experience is a plus.

Responsibilities

• Own software architecture, design, and development of the AdviceWorks application across web, APIs, services, and database integration.
• Lead design reviews and architectural discussions to ensure quality and enterprise alignment.
• Drive AI and cloud-native solution delivery, leveraging LLMs and in‑build agents with Kubernetes for deployment, scaling, and resilience.
• Oversee performance tuning, bottleneck identification, and reliability under high load.
• Coordinate estimation, planning, and delivery with product, DevOps, and QA teams.
• Define architectural roadmaps and promote best practices in microservices and event-driven design.

Skills

Java

AWS Cloud

Spring Boot

Python

AI Delivery

Leadership

Cloud Architecture

Tools

Kubernetes

Docker

API Gateway

Job description

Cetera is seeking an experienced Lead Java Developer to architect and build AI-focused software across web apps, APIs, and services. You will guide architecture, design patterns, and cloud-native delivery while collaborating with product, DevOps, and QA teams.

You will lead AI-driven deployment, scaling, and performance optimization using Kubernetes and AWS services, ensuring reliability and cost efficiency in a fast-paced enterprise environment.