Haystack
← Back to Jobs
Technology
CO

Senior Java Developer with Agentic AI - W2 Only

Congensys Corp.Jersey City, NJ🇺🇸United StatesPosted Sep 22, 2026

Quick Overview

Salary
$80/hr
Seniority
Mid Senior
Work mode
Hybrid
Location
Jersey City, NJ, United States
Posted
Yesterday
AWSSplunkJavaKafkaKubernetesLESS

Job Description

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

Locations: NYC NY/ Jersey City NJ - Only locals

$80 pr hr on W2

W2 Candidates only – &

Skills required - Java, AWS preferred, Kubernetes, some streaming/Kafka, NOSQL, CI/CD, testing, alerts, and monitoring(Splunk/dynatrace). Must know AI for code optimization to accelerate development.

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

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

Similar jobs