Infrastructure Solutions Engineering (AI & Automation) - Java, Spring Boot, Python, APIs

syncreon
New York, NY
Job Description
Role Overview

We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research.

What You Will Do

Deliver large-scale enterprise technology transformation programs, implement Applied AI, Generative AI, or intelligent automation solutions, and build large-scale distributed systems.

Why It Might Be a Fit

10+ years of progressive software engineering experience, leadership experience, and strong understanding of AI & Automation, Application Development, Integration & Distributed Systems, Agile & Delivery.

Requirements

  • 10+ years of progressive software engineering experience
  • 5+ years leading engineering organizations, technical programs, or transformation initiatives
  • Proven experience managing multiple engineering teams across locations and disciplines
  • Demonstrated success delivering large-scale enterprise technology transformation programs
  • Experience implementing Applied AI, Generative AI, or intelligent automation solutions in enterprise environments
  • Strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI/ML pipelines, Conversational AI platforms, and AI governance and responsible AI practices
  • Experience measuring, optimizing, and scaling automation programs
  • Deep expertise with Java, Spring Boot, Spring Security, Spring Cloud, Spring Data, RESTful APIs
  • Strong hands-on development experience and willingness to remain engaged technically
  • Experience building large-scale distributed systems and enterprise integrations
  • Expertise with API design and governance, Event-driven architecture, Kafka and/or RabbitMQ, OAuth 2.0 and OpenID Connect, Kubernetes and Docker
  • Proven success integrating complex enterprise applications and platforms
  • Experience leading teams operating in Agile delivery environments
  • Strong understanding of software development lifecycle, release management, and operational excellence
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