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# Java Lead

- **Company:** PERSISTENT
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Confluence, JIRA, COBOL (Programming Language), Github, IBM WebSphere MQ, PostgreSQL, Apache Maven, SonarQube, Spring-boot, Appian, Google Cloud Functions, Enterprise Integration, Apache Kafka, Terraform, Docker
- **Published:** July 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=16f5a9d103c3efd3

## About the Role

We are looking for an experienced Java Lead with 10-15 years of expertise in designing and delivering scalable, Ladder bifurcates. Staff FDE (IC): deep technical authority across engagements. Engagement Lead (Mgmt): runs a portfolio 2 or more workstreams/PODs, manages 3-6 FDEs, owns outcomes., * IC: own the hardest problems - agent architectures, eval frameworks, COBOL Java target-state; align with Enterprise Architecture

We are looking for an experienced Java Lead with 10-15 years of expertise in designing and delivering scalable, Ladder bifurcates. Staff FDE (IC): deep technical authority across engagements. Engagement Lead (Mgmt): runs a portfolio 2 or more workstreams/PODs, manages 3-6 FDEs, owns outcomes.

 * IC: set cross-program technical strategy and reference architectures

 * Mgmt: own scope, staffing, demand forecasting, BCP and delivery governance (RAG, KPIs)

 * Mgmt: own client satisfaction and project health* Architecture proficiency; target-state design (PCF GCP, COBOL Java, IBM MQ Kafka)
 * Architecture proficiency; target-state design (PCF GCP, COBOL Java, IBM MQ Kafka)

 * Enterprise integration and resiliency at scale

 * Mgmt: project and people leadership, estimation, pyramid optimization* Architecture profic. ency; target-state design (PCF GCP, COBOL Java, IBM MQ Kafka)

## Description

* Sets AIDLC standards on the account; agentic architecture and SLM strategy
 * Articulates AI-productivity ROI and value frameworks to client engineering leadership
 * "Java/Spring Boot, GitHub + Copilot, Maven, PostgreSQL, Docker, Jira/Confluence, GCP fundamentals.
 * Harness, GKE/Cloud Run, Kafka, SonarQube, Vertex AI basics; IBM Watsonx for Z (Track B).
 * Terraform, Camunda/Appian, Vertex AI, agentic frameworks (Agents + Skills, MCP)."


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