Lead Java Engineer for AI-Driven Enterprise Apps

Synechron

Charlotte (NC)

On-site

CAD 173,000 - 200,000

Full time

14 days+
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Benefits offered by this job

Competitive compensation
Global offices with opportunities to:
10 days paid annual leave
Udemy for Business access
Commuter benefits

Job summary

Synechron seeks a Lead Java Developer / Forward Deployed Engineer to design, develop, and deploy enterprise Java applications for top clients, leveraging AI-assisted development workflows with Devin AI. You will work closely with customers, product teams, and engineering groups to deliver mission-critical solutions.

The role requires strong Java 11/17+ expertise, Spring Boot, microservices, and experience with AI-driven tooling.

Qualifications

  • Hands-on Java development experience.
  • Expertise in Java 11/17+, Spring Boot, RESTful APIs, and microservices.
  • Experience with Devin AI for software development workflows.
  • Knowledge of Kafka or other messaging platforms.
  • Cloud certifications (AWS/Azure/GCP) are a plus.

Responsibilities

  • Lead design, development, testing, and deployment of enterprise Java applications.
  • Architect and implement scalable, secure solutions using modern Java technologies.
  • Develop and maintain microservices-based apps using Spring Boot.
  • Work directly with clients to translate requirements into solutions.
  • Deploy Devin AI across software engineering teams.
  • Build POCs and production-grade applications using AI-assisted development.

Skills

Java development
Spring Boot
RESTful APIs
Microservices
Distributed systems
Kafka
DevOps/Cloud
SOLID Principles
Multithreading
Design Patterns
Devin AI

Tools

Devin AI

Job description

Synechron seeks a Lead Java Developer / Forward Deployed Engineer to design, develop, and deploy enterprise Java applications for top clients, leveraging AI-assisted development workflows with Devin AI. You will work closely with customers, product teams, and engineering groups to deliver mission-critical solutions.

The role requires strong Java 11/17+ expertise, Spring Boot, microservices, and experience with AI-driven tooling.

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