Senior Java Developer with Agentic AI

Eight Point Solutions; New City (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Eight Point Solutions is seeking a Senior Java Developer with Agentic AI to drive secure, scalable code and AI-enabled optimization across multiple teams. You will shape coding standards and governance while delivering high-quality production Java applications.

You will collaborate across engineering functions, champion AI-assisted review and automation, and mentor peers in best practices for secure development, testing, and release readiness.

Qualifications

• Strong knowledge of Java and secure coding practices.
• Experience with AI-assisted development and code optimization.
• Hands-on experience with SDLC tooling and automation.
• Ability to drive governance and set measurable standards.

Responsibilities

• Develops secure, high-quality production Java code.
• Leads AI-assisted code review and refactoring initiatives.
• Collaborates across teams to improve delivery speed and reliability.
• Acts as SME and promotes standard tooling and practices across SDLC.

Skills

Java

CI/CD

Testing

Streaming/Kafka

NOSQL

AWS

Kubernetes

Tools

AWS

Kubernetes

Kafka

Splunk

Dynatrace

NoSQL

Job description

Senior Java Developer with Agentic AI (less experience is also fine)

Job Type: W2 Contract

Location: NYC NY

Job Description

Develops secure and high-quality production code, and reviews and debugs code written by others.

Must know AI for code optimization to accelerate development.

Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.

Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.

Drives decisions that influence the product design, application functionality, and technical operations and processes.

Serves as a function-wide subject matter expert in one or more areas of focus.

Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.

Skills Required

• Java
• AWS preferred
• Kubernetes
• some streaming/Kafka
• NOSQL
• CI/CD
• testing
• alerts, and monitoring(Splunk/dynatrace)