NEW JOB OPENING
SENIOR JAVA DEVELOPER - AI-FOCUSED
IN Charlotte, NC, USA!

***Only qualified Senior Java Developer candidates located near Charlotte, NC to be considered due to the position requiring an onsite presence. ***



Conference Call Notes:

• Looking for a Senior Java Developer with 10+ years of development background with experience working in designing/developing high-level enterprise applications, using AWS services to deploy those applications.

• Need someone who has an AI background, Hartford is using GitHub Copilot, LLM APIs, custom AI integrations, but they are fine with other tools/skills in AI related to Google Gemini, Gen AI, Agentic AI

• This is a backend-heavy role, won't do hands-on Frontend work using Angular/Typescript, but should have some understanding.

• About Databases, they are using PostgreSQL, but are fine with similar databases like Oracle, SQL, etc.

• Long-term plan: Potential to be a Contract-To-Hire, after 6 months

• Preference: BFSI industry, but fine with other industries if offering a good Java background.

• Interview Process: multiple rounds that include code challenges. This includes virtual and In-person interviews.



Required Qualifications

• 10+ years of hands-on Java development with deep expertise in Spring Boot, Spring Data, and RESTful API design.

• Proven ability to quickly understand and navigate large, unfamiliar codebases and grasp business context rapidly.

• Strong experience with PostgreSQL or any other relation or non-relation including query optimization, indexing strategies, and schema design.

• Solid working knowledge of AWS services, specifically ECS (Fargate/EC2), ECR, CloudWatch, RDS, S3, and IAM.

• Hands-on experience designing, building, and optimizing CI/CD pipelines (Jenkins, GitHub Actions, CodePipeline, or similar).

• Proficiency with Docker and container orchestration on AWS ECS.

• Familiarity with Angular front-end development (ability to read, review, and make targeted improvements).

• Strong Git workflow skills: branching strategies, code review, conflict resolution, and PR best practices.

• Excellent problem-solving ability and a self-starter mentality—able to operate independently with minimal direction.



Preferred Qualifications

• Experience integrating AI/ML tools into developer workflows (Copilot, CodeWhisperer, LLM APIs, custom AI bots).

• Background in developer experience (DX) or platform engineering roles focused on internal tooling.

• Experience with infrastructure-as-code (Terraform, CloudFormation) and configuration management.

• Familiarity with observability stacks (Datadog, New Relic, ELK, or Prometheus/Grafana).

• Contributions to open-source projects or internal developer tooling initiatives.

• Knowledge of security best practices, OWASP guidelines, and automated security scanning tools.



Technology Stack

Layer Technologies

Backend: Java 17+, Spring Boot, Spring Data JPA, Spring Security, REST APIs

Frontend: Angular (TypeScript)

Database: PostgreSQL

Cloud & Infra: AWS (ECS, ECR, CloudWatch, S3, RDS, IAM, VPC)

CI/CD: Jenkins / GitHub Actions / AWS CodePipeline (or equivalent)

Containerization: Docker, AWS ECS (Fargate or EC2 launch type)

AI Tooling: GitHub Copilot, LLM APIs, custom AI integrations



OVERVIEW

We are looking for a Senior Java Developer who will serve as a dedicated engineering efficiency champion across multiple application teams. Unlike typical feature developers, this role is singularly focused on identifying, building, and shipping improvements that raise the productivity, code quality, and operational maturity of the entire engineering organization—with a strong emphasis on leveraging AI tooling.

You will embed with different application teams, understand their codebases and business contexts rapidly, and deliver pull requests that introduce automation, reduce toil, improve CI/CD pipelines, and integrate AI-assisted development practices.



Key Responsibilities

1. Cross-Team Engineering Efficiency

• Rotate across multiple application teams to identify efficiency bottlenecks, technical debt, and automation opportunities.

• Deliver production-ready pull requests that improve build times, test coverage, deployment reliability, and developer experience.

• Establish reusable patterns, shared libraries, and internal tooling that all teams can adopt.



2. AI-Powered Development Practices

• Evaluate and integrate AI coding assistants (e.g., GitHub Copilot, custom LLM-based tools) into the team’s daily workflow.

• Build internal AI-powered utilities such as automated code review bots, intelligent test generators, documentation generators, and PR summarizers.

• Champion AI-augmented development practices and train teams on effective prompt engineering and AI-assisted coding techniques.

• Identify high-ROI areas where AI can accelerate development cycles, reduce repetitive work, or improve code quality.



3. CI/CD & DevOps Improvement

• Optimize and extend existing CI/CD pipelines (build, test, deploy) for Spring Boot microservices on AWS ECS.

• Implement automated quality gates, security scanning, dependency vulnerability checks, and performance regression tests.

• Reduce deployment cycle times and improve rollback capabilities across environments.



4. Codebase Health & Modernization

• Refactor legacy patterns, remove dead code, and improve architectural consistency across Java/Spring Boot applications.

• Improve observability by enhancing logging, tracing, and monitoring instrumentation.

• Standardize database query patterns, connection pooling, and PostgreSQL performance tuning.

• **Only those lawfully authorized to work in the designated country associated with the position will be considered.**

• **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**