Senior Java Developer with Agentic AI - W2 Only

Jersey City, NJ, US • Posted 1 day ago • Updated 1 day ago
Contract W2
24 Months
No Travel Required
On-site
$80/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

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

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91170923
  • Position Id: 9092355
  • Posted 1 day ago
Contact the job poster
RE

Raju Endla

Recruiter @ Congensys Corp.
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