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Java Developer with Agentic AI

VBest Software Inc New York, New York, United States · $146K–$156K/yr

4 h ago
java Senior (5-10 yrs) Contractor United States
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About the role

Develop secure, high-quality production code while driving the adoption of AI-assisted engineering practices across teams. Serve as a subject matter expert to improve code quality, delivery speed, and operational outcomes through automation and established frameworks.

What they look for

Java AWS Kubernetes Kafka NOSQL CI/CD Splunk Dynatrace Agentic AI Code Optimization Software Development Life Cycle Automated Testing Refactoring Incident Analysis Root-cause Analysis

Requirements

Requires proficiency in Java, AWS, Kubernetes, Kafka, and NoSQL, along with experience in monitoring tools like Splunk and Dynatrace. Candidates must demonstrate expertise in AI-assisted development to accelerate coding, testing, and refactoring processes.

Full description

Tasks

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.

Locations: NYC NY/ Jersey City NJ

W2 Candidates only

Only locals

Requirements

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.

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