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# Application Lead - Enterprise Java & Cloud

- **Company:** Akaasa Technologies
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Salary:** $102,675.0 - $171,125.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, DevOps, Java Platform Enterprise Edition (J2EE), Java Architectures, Reliability Engineering, Software Engineering, Enterprise Software Applications, Spring Cloud, Delivery Pipeline, Grafana, Generative AI, Containerization, Kubernetes, Information Technology, Angular Ui, Api Management, Docker, Microservices
- **Published:** August 29, 2026
- **Apply:** https://www.careerjet.com/jobad/us12e3323c8ebd64811a3f271ac9d3ea49

## About the Role

* Java Architecture (9+ years)
 * Cloud Platform - AWS, Azure, or GCP (5+ years)
 * Angular UI Development (3+ years)
 * Containerization & Orchestration - Docker & Kubernetes (3+ years)
 * DevOps, CI/CD, and API Management (4+ years)

ADDITIONAL DESIRED SKILLS

 * IT Infrastructure Consulting
 * Solution Architecture & Microservices Design
 * Production Support, SRE, and Observability Tools
 * Generative AI & AI Governance Practices
 * Retail Industry Domain Experience, * An experienced Lead Java/Cloud Architect with strong operational hands-on depth who seamlessly balances engineering delivery with production reliability. The ideal candidate possesses strong leadership and communication skills, able to bridge technical execution with business stakeholders while mentoring junior engineering talent.

## Description

* The Application Lead will own the design, delivery, and day-to-day operations of enterprise Java applications, ensuring solutions are secure, scalable, and aligned with business goals. This role bridges development and production by driving technical build quality alongside live environment reliability. The team focuses on leading microservices, API integrations, and cloud initiatives while incorporating cutting-edge Generative AI features into enterprise systems., * Lead end-to-end application design, architectural standards, and delivery for enterprise Java solutions.
 * Drive hands-on implementation across Kubernetes, Docker, CI/CD pipelines, DevOps, and API Management.
 * Deploy, monitor, and optimize cloud-native applications across cloud platforms (AWS, Azure, or GCP).
 * Integrate AI/ML-powered capabilities and Generative AI features into enterprise applications following security and governance guidelines.
 * Lead production support and operations, acting as the primary escalation point for critical incidents, root cause analysis, and post-mortems.
 * Collaborate with SRE, platform, and DevOps teams to maintain and enhance monitoring, alerting, observability, and deployment pipelines.


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